Impacts on Agency Cost Theory

Impacts on Agency Cost Theory The main purpose of this research is to investigate how the determinants of the capital structure (leverage) and the dividend payout policy impact the agency cost theory. Literature review part picked up the relevant material related to agency theory, leverage, and dividends payout policy. The literature review section goes through the agency cost literature, and explores the financial policies; the capital structure (leverage), and the dividend payout policy and that these policies would influence the agency cost theory. 2.1 Agency theory Literature The notion of the agency theory is widely used in economics, finance, marketing, legal, and social sciences; Jensen and Meckling (1976) initiated and developed it. Capital structure (leverage) for the firms is determined by agency costs, i.e., costs related to conflict of interests between various groups including managers, which have claims on the firm’s resources (Harris and Raviv, 1991). Jensen and Meckling (1976) defined the agency relationship as â€Å"a contract under which one or more persons (the principal) engage another person (the agent), to perform some service on their behalf which involves delegating some decision making authority to the agent† pp.308. Assuming that both parties utility maximizes, the agents are not possible to act in the best interest of the principal. Furthermore, Jensen and Meckling (1976) contended that the principal can limit divergences from his interest by establishing appropriate incentives for the agent, and by incurring monitoring costs (pecuniary and non pecuniary), which are designed to limit the aberrant activities of the agent. Jensen and Meckling (1976) argued that the agency costs are unavoidable, since the agency costs are borne entirely by the owner. Jensen and Meckling (1976) contended that the owner is motivated to see these costs minimized. Authors who initiated and developed the agency theory have argued that if the owner manages a wholly owned firm, then he can make operating decisions that maximise his utility. The agency costs are generated if the owner manager sells equity claims on the firms, which are identical to his.  It also generated by the divergence between his interest and those of the outside shareholders, since he then bears only a fraction of the costs of any non-pecuniary benefits he takes out maximizing his own utility (Jensen and Meckling, 1976). Jensen and Meckling (1976) suggested two types of conflicts in the firm; First of all, the conflict between shareholders and managers arises because managers hold less than a hundred percent of the residual claim. Therefore, they do not capture the entire gain from their profit enhancement activities, but they do bear the entire cost of these activities. For example, managers can invest less effort in managing firm resources and may be able to transfer firm resources to their own, personal benefit, i.e., by consuming â€Å"perquisites† such as a fringe benefits. The manager bears the entire cost of refraining from these activities but captures only a fraction of the gain. As a result, managers over indulge in these interests relative to the level that would maximize the firm value. This inefficiency reduced the large fraction of the equity owned by the manager. Holding constant the manager’s absolute investment in the firm, increases in the fraction of the firm financed by debt increases the manager’s share of the equity and mitigates the loss from conflict between the managers and shareholders. Furthermore, as pointed out by Jensen (1986), since debt commits the firm to pay out cash, it reduces the amount of free cash flow available to managers to engage in these types of interests.  As a result, this reduction of the conflict between managers and shareholders will constitute the benefit of debt financing. Second, they also suggested that the conflict between debt holders and shareholders arises because the debt contract, gives shareholders an incentive to invest sub optimally. Especially when the debt contract provides that, if an investment yields large returns, well above the face value of the debt, shareholders capture most of the gain. However, if the investment fails, debt holders bear the consequences. Therefore, shareholders may benefit from investing in very risky projects, even if they are under valued; such investments result in an adverse in the value of debt. Lasfer (1995) argued that debt exacerbates the conflict between debt holders and shareholders. Shareholders will benefit from investments in risky projects at the expense of debt holders.  If the investment yields higher return than the face value of debt, shareholders capture most of the gain, however, if the investment fails, debt holders lose, given that. Therefore, shareholders protected by the limited liability. On the other hand, if the benefits captured by debt holders reduce the returns to shareholders, then an incentive to reject positive net present projects has created. Thus, the debt contract gives shareholders incentives to invest sub optimally. In addition, Myers (1977) argued that the firms with many growth opportunities should not be financed by debt, to reduce the negative net value projects.   Furthermore, some of arguments have been debated that the magnitude of the agency costs varies among firms. It will depend on the tastes of managers, the ease with which they can exercise their own preferences as opposed to value maximization in decision making, and the costs of monitoring and bonding activities. Therefore, the agency costs depend upon the cost of measuring the manager’s performance and evaluating it (Jensen and Meckling, 1976). (Jensen, 1986) either points out that when firms make their financing decision, they evaluate the advantages that may arise from the resolution of the conflicts between managers, shareholders and from long run tax shields.   In addition, Lasfer (1995) argues that debt finance creates a motivation for managers to work harder and make better investment decisions. On the other hand, debt works as a disciplining tool, because default allows creditors the option to force the firm into liquidation. Debt also generates information that can be used by investors to evaluate major operating decisions including liquidation (Harris and Raviv, 1990). Jensen (1986) debated that when using debt without retention of the proceeds of the issue, bonds the managers to meet their promise to pay future cash flows to the debt holders. Thus, debt can be an effective substitute for dividends. By issuing debt in exchange for stock, managers are bonding their promise to pay out future cash flows in a way that cannot be accomplished by simple dividend increases. Consequently, managers give recipients of the debt the right to take the firm to the bankruptcy court if they do not maintain their commitment to make the interest and principle payments. Thus, debt reduces the agency costs of free cash flow by reducing the cash flow available for spending at the discretion of managers. Jensen (1986) claimed that these control effects of debt are a potential determinant of capital structure. In practice, it is possible to reduce the owner manager non pecuniary benefits; by using these instruments external auditing, formal control systems, budget restrictions, and the establishment of incentive compensation systems serve to identify the manager’s interests more closely with those of the outside shareholders (Jensen and Meckling, 1976). Jensen (1986) suggested that leverage and dividend may act as a substitute mechanism to reduce the agency costs. Agency cost models predict that dividend payments can reduce the problems related to information asymmetry. Dividend payments might be consider also as a mechanism to reduce cash flow under management control, and help to mitigate the agency problems (Rozeff, 1982, and Easterbrook, 1984). Therefore, paying dividends may have a positive impact on the firms value. â€Å"Agency theory posits that the dividend mechanism provides an incentive for managers to reduce the costs related to the principal agent relationship, one way to reduce agency costs is to increase dividends† Baker and Powell (1999). They also claim that firm use the dividends use as a tool to monitor the management performance. Moreover, Easterbrook (1984) and Jensen (1986) argue that agency costs exist in firms because managers may not always want to maximize shareholder’s wealth due to the separation of ownership and control. Jensen (1986) addresses the free cash flow theory, in terms of this theory the conflict of interest between managers and stockholders is rooted in the presence of informational and self interest behavior. He defines the free cash flow as â€Å"cash flow in excess of that required to fund all projects that have positive net present value when discounted at the relevant cost of capital† (Jensen,1986). Within the context of the free cash flow hypothesis, firms prefer to increase their dividends and distribute the excess free cash flow in order to reduce agency costs. Consequently, markets react positively to this type of information. This theory is attractive because it is consistent with the evidence about investment and financing decisions (Jensen, 1986, Frankfurter and Wood, 2002). 2.2 Leverage Literature This section reviews the determinants of capital structure by different relevant literatures. Titman and Wessels (1988) study is considered to be one of the leading studies in the developed markets. They tried to extend the empirical work in capital structure theory by examining a much broader set of capital structure theories, and to analyze measures of short term, long term, and convertible debt. The data covers the US industrial companies from 1974 to 1982, and they used a factor analytic approach for estimating the impact of unobservable attributes on the choice of corporate debt ratios. As a result, the study confirms these factors, collateral values of assets, non-debt tax shields, growth, and uniqueness of the business, industry classification, firm size, and firm profitability. They also found that there is a negative relationship between debt levels and the uniqueness of the business. In addition, short term debt ratios have a negative relationship to firm size. However, they do not provide support for the effect on debt ratios arising from non debt tax shields, volatility, collateral value of assets, and growth. In Jordan, Al-Khouri and Hmedat (1992) aimed to find the effect of the earnings variability on capital structure of Jordanian corporations from the period from 1980 to 1988. They included 65 firms. The study used a multivariate regression approach with financial leverage as the dependent variable measured in three ways; first, long term debt over total assets, secondly, short term debt over total assets, and finally, short term debt plus long term debt over total assets. The standard deviation of the earnings variability and the size of the firm measured as independent variables. They concluded that the firm size is considered as a significant factor in determining the capital structure of the firm, and insignificant relationship between the earning variability and financial leverage of the firm. Furthermore, they suggest that the type of industry is not considered as a significant factor in determining the capital structure of the firm. Rajan and Zingales (1995) provided international evidence about the determinants of capital structure. They examined the capital structure in other countries related to factors similar to those that influence United States firms. The database contains 2583 companies in the G7 countries. They used regression analysis with the firm’s leverage (total debt divided by total debt plus total equity) as the dependent variable. Tangible assets, market to book ratio, firm size, and firm profitability used as independent variables. They found that in market bases firms with a lot of fixed assets are not highly levered, however, they supported that a positive relationship exists between tangible assets, and firms size, and capital structure (leverage). On the contrary, they confirmed that there is a negative relationship between leverage and the market to book ratio, and profitability. From the capital structure literature, Ozkan (2001) also investigated that the determinants of the target capital structure of firms and the role of the adjustment process in the UK using a sample of 390 firms. The multiple regression approach (panel data) was used to measure the debts by total debt to total assets, on the one hand. He also used in his model, non debt tax shield, firm size, liquidity, firm profitability, and firm growth as an independent variables. He confirmed that the profit, liquidity, non debt tax shield, and growth opportunities have a negative relationship to capital structure (leverage). Finally, he supported that there is a positive effect arising from size of firms on leverage. The study provided evidence that the UK firms have long term target leverage ratios and that they adjust quickly to their target ratios. The study by Booth et al. (2001) is considered as a one of the leading studies in the developing countries. It aimed to assess whether capital structure theory is applicable across developing countries with different institutional structures. The data include balance sheets and income statements for the largest companies in each selected country from the year 1980 to 1990. It included 10 developing countries: India, Pakistan, Thailand, Malaysia, Zimbabwe, Mexico, Brazil, Turkey, Jordan, and Korea. The study used multivariate regression analysis with dependent variables; total debt ratio, long term book debt ratio, and long term market to debt ratio. The independent variables are; average tax rate, tangibility, business risk, firm size, firm profitability, and market to book ratio. Booth et al. found that the more profitable the firm the lower the debt ratio, regardless how the debt ratio is defined. In addition, the higher the tangible assets mix, the higher is the long term debt ratio but the smaller is the total debt ratio. Finally, it concluded that debt ratios in developing countries seem to be affected in the same way by the same set of variables that are significant in developed countries. Voulgaris et al. (2004) investigated the determinants of capital structure for Greek manufacturing firms. The study used panel data of two random samples one for small and medium sized enterprises (SMEs) including 143 firms and another for large sized enterprises (LSEs) including 75 firms for the period from 1988 to 1996. It used a leverage model as a dependent variable (short run debt ratio, long run debt ratio, and total debt ratio). On the other hand, It used firm size, asset structure, profitability, growth rate, stock level, and receivables as independent variables. The study suggested that there are similarities and differences in the determinants of capital structure among the two samples. The similarities include that the firm size and growth opportunities positively related to leverage. While, they confirm that the profitability has a negative relationship to leverage. Moreover, they pointed out the differences that the inventory period, and account receivables collection period have been found as determinants of debt in SMEs but not in LSEs. Liquidity doest not affect LSEs leverage, but it affects the SMEs. Finally, they also suggested that there is a positive relationship between profit margins and short term debt ratio only for SMEs. Voulgaris et al. (2004) have debated this arguments as; ‘‘the attitude of banks toward small sized firms should be changed so they provide easier access to long-term debt financing’’. In addition, â€Å"enactment of rules that will allow transparency of operations in the Greek stock market and a healthier development of the newly established capital market for SMEs will assist Greek firms into achieving a stronger capital structure’’. 2.3 Dividends payout ratio literature Dividend payout ratios vary between firms and the dividend payout policy will impact the agency cost theory. Rozeff (1982) investigated in his study that the dividends policy will be rationalize by appealing the transaction cost and agency cost associated with external finance. Moreover, Rozeff (1982) had found evidences supporting how the agency costs influence the dividends payout ratio. He found that the firms have distributed lower dividend payout ratios when they have a higher revenue growth, because this growth leads to higher investment expenditures.  This evidence supports the view of the investment policy affect on the dividend policy; the reason for that influences is that would the external finance be costly. Conversely, he found that the firms have distributed higher dividends payouts when insiders hold a lower portion of the equity and (or) a greater numbers of shareholders own the outside equity. Rozeff (1982) pointed out that this evidence supports that the dividend payments are part of the firm’s optimum monitoring and that bonding package reduces the agency costs. Moreover, if the agency cost declines when the dividend payout does and if the transaction cost of external finance increases when the dividend payout is increased as well, then minimization of these costs will lead to a unique optimum for a given firm. In addition, Hansen, Kumar, and Shome [HKS], (1994) pointed out the relevance of the monitoring theory for explaining the dividends policy of regulated electric utilities. From an agency cost perspective, they emphasized their ideas that the dividends promote monitoring of what they call the shareholders regulator conflict. Therefore, it is a monitoring role of dividends. On the contrary, Easterbrook’s (1984) has noted that the dividends monitoring of the shareholders managers conflict. They also have observed that the utilities firms have a discipline of monitoring mechanism for controlling agency cost, depending on the relative cost effectiveness of those costs (Crutchly and Hensen, 1989). The regulator process will impact the conflict between the shareholders and mangers, by mitigate the managers’ power to appropriate shareholders’ wealth and consume perquisites (Hansen et al. 1994). On the other hand, they argued this issue by the cost-plus concept, regulators may set into motion of managerial incentive structure that potentially conflicts with shareholders interests, this concept solve the shareholders-regulators concept since the sources of the conflict lies in differences in the perceptions of what constitutes fair cost plus. Therefore, the regulation can control some of the agency cost while exacerbating others. In their study, they conduct also that the managers and shareholders of unregulated firms have a several mechanisms whether, internal or external, for controlling agency cost. In addition, they observed that the dividend policy to reduce the agency theory is not limited, depending on their findings they suggested that the cost of dividend payout policy might be below the costs paid by other types of firm. In fact the utilities company maintain high debt ratio that would maintain as well as equity agency costs. Aivazian et al. (2003b) compare the dividend policy behaviour of eight emerging markets with dividend policies in the US firms in the period from 1980 to 1990. The sample included firms from; Korea, Malaysia, Zimbabwe, India, Thailand, Turkey, Pakistan, and Jordan. They found that it is difficult to predict dividend changes for such emerging markets. This is because the quality of firms with reputations for cutting dividends is somehow similar to those who increase their dividends, than for the US control sample. In addition, current dividends are less sensitive to past dividends than for the US sample of firms. They also found that the Lintner model[1] does not work well for the sample of emerging markets. These results indicate that the institutional frameworks in these emerging markets make dividend policy a weak technique for signaling future earnings and reducing agency costs than for the US sample of firms. Furthermore, Omran and Pointon (2004) investigated the role of dividend policy in determining share prices, the determinants of payout ratios, and the factors that affect the stability of dividends for a sample of 94 Egyptian firms. They found that retentions are more important than dividends in firms with actively traded shares, but that accounting book value is more important than dividends and earnings for non-actively traded firms. However, when they combined both the actively traded and non-traded firms, they found that dividends are more important than earnings. In the determinants of payout ratios, they found that there is a negative relationship between the leverage ratio and market to book ratio, tangibility, and firm size on the one hand, to the payout ratios in actively traded firms. On the contrary, they also found that there is a positive relationship between the business risk, market to book and firm size (measured by total assets) to payout ratios in non-actively traded firms. Furthermore, for the whole sample, leverage has a positive relationship with payout ratios, while firm size (measured by market capitalization) is negatively related to payout ratios. Finally, the stepwise logistic regression analysis shows that decreasing dividends is associated with lack of liquidity and overall profitability. In addition, increasing dividends is associated with higher overall profitability. 2.4 Summary In this chapter the relevant literatures addressing the reviews of the agency cost theory related to the financial policies. It also gives a theoretical background on how the conflicts of interests arise between the agents (managers) and the principal (shareholders). The second and third sections present the determinants of leverage and dividend payout policy. The following chapter will go through the description of data, and data methodology was employed for this dissertation. 3. Methodology, Research Design and Data Description The aim of the current study is to investigate firstly, the empirical evidence of the determinants of leverage and dividend policy under the agency theory concept for the period 2002-2007. The majority of the previous studies in the field of capital structure have made in the context of developed countries such as USA and UK. It is important to investigate the main determinants of leverage and dividend policy in developing countries where, capital markets, are less developed, less competitive and suffering from the lack of compatible regulations and sufficient supervision This chapter will explain the research methodology of this study. This chapter also identifies the sample of the study. Moreover, it presents an illustration of the econometric techniques that have been employed. In addition, this chapter gives a brief explanation of the specification tests used in the study to identify which technique is the best for the data set. This chapter structured as follows; Section (3.1) presents data description.  Section (3.2) presents the sample of the study. Section (3.3) discusses the econometric techniques employed in the study. Finally, Section (3.4) provides a brief summary. 3.1 Data Description The data used in the study are secondary data for companies listed at Amman Stock Exchange (ASE) for the period of 2002-2007. The data was extracted from the firm’s annual reports, and from Amman Stock Exchange’s publications (The Yearly Companies Guide, and Amman Stock Exchange Monthly Statistical Bulletins). Data is readily available in the form of CD and on the website of the Amman Stock Exchange. The reason for the study period selection was to minimize the missing observations for the sample companies. Moreover, a different reporting system has been used since 2000. The application of the new reporting system was the result of the transparency act which was launched in 1999, and forced all companies listed in Amman Stock Exchange to disclose their financial information and publish their annual reports according to the International Financial Reporting Standards. In other words, this data series for the period from 2002-2007 was chosen in terms of consistency and comparability purposes. 3.2 Sample of the study The sample of the study consists of the Jordanian Manufacturing companies listed on the Amman Stock Exchange for the period of 2002-2007. The total number of the companies listed in ASE at the end of year 2007 was 215. Officially, these companies are divided into four main economic sectors; Banks sector, Insurance sector, Services sector and finally Industrial sector. Moreover, this study is concerned only with Jordanian manufacturing companies that their stocks are traded in the organized market. It is important to note that the capital structure of financial firms has special characteristic when compared to the capital structure of non financial firms, they also have special tax treatment (Lester, 1995). On the other hand, the financial firms have a higher leverage rate, which may tend to make the analysis results biased. Moreover, financial firms their leverage is affected by investor insurance schemes (Rajan and Zingals, 1995). For these reasons, the potential sample of the study consists of non financial (Manufacturing) companies that are still listed in Amman Stock Exchange. The total number of industrial companies listed in ASE at the end of year 2007 was 88 companies, which are 40.93% of the total number of the companies listed in that market. The study conducts the following criteria in selecting the sample upon the Jordanian manufacturing companies by excluding all the firms that was incorporated after year 2002, and all the firms that have merged or acquired during this period, further, the firms have liquidated or delisted by the Amman Stock Exchange, and finally, the study have also excluded the firms that have information missing for that period. The application for those criteria has resulted in 52 samples of manufacturing companies. The data for the variables that are included in the study models is tested using three different econometric techniques which will be discuss briefly in the next sections. 3.3 Econometrics techniques Hairs et al. (1998) argued that the application of econometrics technique depends on the nature of data employed in the study, and to what extent it would be realised to the research objectives. In order to find a best and adequate data model, the current study employs pooled data technique and panel data analysis which is usually estimated by either fixed effect technique or random effects technique.  The following sections provide a brief discussion on the econometrics techniques that the current study uses to estimate the empirical models. 3.3.1 Pooled Ordinary Least Square (OLS) technique All the models used in the study have been tested by the pooled data analysis technique. The pooled data is the data that contains pooling of time series and cross-sectional observations (combination of time series and cross-section data) (Gujarati, 2003). The pooled data analysis has many advantages over the pure time series or pure cross sectional data. It generates more informative data, more variability, less collinearity among variables, more degrees of freedom, and more efficiency (Gujarati, 2003). The underlying assumption behind the pooled analysis is that, the intercept value and the coefficients of all the explanatory variables are the same for all the firms, as well as they are constant over time (no specific time or individual aspects). It also assumes that the error term captures the differences between the firms (across-sectional units) over the time. However, (Gujarati, 2003) has pointed out that these assumptions are highly restrictive. He argues that although of it is simplicity and advantages, the pooled regression may distort the true picture of the relationship between the dependent and independent variables across the firms. Pooled model will be simply estimated by Ordinary Least Square (OLS). However, OLS will be appropriate if no individual (firm) or time specific effects exist. If they exist, the unobserved effects of unobserved individual and time specific factors on dependent variable can be accommodated by using one of the panel data techniques.   According to (Gujarati, 2003) panel data is a special form of pooled data in which the same cross-sectional unit is surveyed over time. It helps researchers to substantially minimize the problems that arise when there is an omitted variables problems such as time and individual-specific variables and to provide robust parameter estimates than time series and (or) cross sectional data. All the empirical models that have been tested by using pooled data analysis and tested again on the basis of panel data analysis techniques (Fixed Effects and Random Effects).   3.3.2 The fixed effects model (FEM) Fixed effects technique allows control for unobserved heterogeneity which describes individual specific effects not captured by observed variables. According to Gujarati (2003) the fixed effect model takes into account the specific effect of each firm â€Å"the individuality† by allowing the intercept vary across individuals (firms), but each individual’s intercept does not vary over time. However, it still assumes that the slope coefficients are constant across individuals or over time. Two methods used to control for the unobserved fixed effects within the fixed effects model; the first differences and Least Square Dummy variables (LSDV) methods.  For the purposes of the current study, (LSDV) was used where; two sets of dummy variables (industry, and year dummy variables). The additional dummy variables control for variables that are constant across firms but change over time. Therefore, the combine time and individual (firm) fixed effects model eliminates the omitted variables bias arising both from unobserved factors that are constant over time and unobserved factors that are constant across firms. However, fixed effects model consumes the degrees of freedom, if estimated by the Least Square Dummy Variable (LSDV) method and, too many dummy variables are introduced (Gujarati, 2003). Furthermore, with too many variables used as regressors in the models, there is the possibility of multicollinearity. It is worth noting that OLS technique used in estimating fixed effects model. 3.3.3 The Random Effects Model (REM) By contrast, fixed effects model, the unobserved effects in random effects model is captured by the error term (ÃŽ µit) consisting of an individual specific one (ui) and an overall component (vit) which is the combined time series and cross-section error. Moreover, it treats the intercept coefficient as a random variable with a mean value (ÃŽ ±0) of all cross-sectional (firms) intercepts and the error component represents the random deviation of individual intercept from this mean value (Gujarati, 2003). Consequently, the individual differences in the intercept values of each firm are reflected in the error term (ui). On the other hand, the Generalized Least Square (GLS) used in estimating random affects model.  This is because the GLS technique takes into account the different correlation structure of the error term in the Random Effect Model (REM) (Gujarati, 2003). 3.3.4 Statistical specification tests The study uses three specification tests to identify which empirical method is the best. These tests are used for testing the fixed effect model versus the pooled model (F-statistics), the random effect model versus pooled model (Lagrange Multiplier test) (LM), and the fixed effect model versus the random effect model (Hausman test). The following sub-sections offer brief disc Impacts on Agency Cost Theory Impacts on Agency Cost Theory The main purpose of this research is to investigate how the determinants of the capital structure (leverage) and the dividend payout policy impact the agency cost theory. Literature review part picked up the relevant material related to agency theory, leverage, and dividends payout policy. The literature review section goes through the agency cost literature, and explores the financial policies; the capital structure (leverage), and the dividend payout policy and that these policies would influence the agency cost theory. 2.1 Agency theory Literature The notion of the agency theory is widely used in economics, finance, marketing, legal, and social sciences; Jensen and Meckling (1976) initiated and developed it. Capital structure (leverage) for the firms is determined by agency costs, i.e., costs related to conflict of interests between various groups including managers, which have claims on the firm’s resources (Harris and Raviv, 1991). Jensen and Meckling (1976) defined the agency relationship as â€Å"a contract under which one or more persons (the principal) engage another person (the agent), to perform some service on their behalf which involves delegating some decision making authority to the agent† pp.308. Assuming that both parties utility maximizes, the agents are not possible to act in the best interest of the principal. Furthermore, Jensen and Meckling (1976) contended that the principal can limit divergences from his interest by establishing appropriate incentives for the agent, and by incurring monitoring costs (pecuniary and non pecuniary), which are designed to limit the aberrant activities of the agent. Jensen and Meckling (1976) argued that the agency costs are unavoidable, since the agency costs are borne entirely by the owner. Jensen and Meckling (1976) contended that the owner is motivated to see these costs minimized. Authors who initiated and developed the agency theory have argued that if the owner manages a wholly owned firm, then he can make operating decisions that maximise his utility. The agency costs are generated if the owner manager sells equity claims on the firms, which are identical to his.  It also generated by the divergence between his interest and those of the outside shareholders, since he then bears only a fraction of the costs of any non-pecuniary benefits he takes out maximizing his own utility (Jensen and Meckling, 1976). Jensen and Meckling (1976) suggested two types of conflicts in the firm; First of all, the conflict between shareholders and managers arises because managers hold less than a hundred percent of the residual claim. Therefore, they do not capture the entire gain from their profit enhancement activities, but they do bear the entire cost of these activities. For example, managers can invest less effort in managing firm resources and may be able to transfer firm resources to their own, personal benefit, i.e., by consuming â€Å"perquisites† such as a fringe benefits. The manager bears the entire cost of refraining from these activities but captures only a fraction of the gain. As a result, managers over indulge in these interests relative to the level that would maximize the firm value. This inefficiency reduced the large fraction of the equity owned by the manager. Holding constant the manager’s absolute investment in the firm, increases in the fraction of the firm financed by debt increases the manager’s share of the equity and mitigates the loss from conflict between the managers and shareholders. Furthermore, as pointed out by Jensen (1986), since debt commits the firm to pay out cash, it reduces the amount of free cash flow available to managers to engage in these types of interests.  As a result, this reduction of the conflict between managers and shareholders will constitute the benefit of debt financing. Second, they also suggested that the conflict between debt holders and shareholders arises because the debt contract, gives shareholders an incentive to invest sub optimally. Especially when the debt contract provides that, if an investment yields large returns, well above the face value of the debt, shareholders capture most of the gain. However, if the investment fails, debt holders bear the consequences. Therefore, shareholders may benefit from investing in very risky projects, even if they are under valued; such investments result in an adverse in the value of debt. Lasfer (1995) argued that debt exacerbates the conflict between debt holders and shareholders. Shareholders will benefit from investments in risky projects at the expense of debt holders.  If the investment yields higher return than the face value of debt, shareholders capture most of the gain, however, if the investment fails, debt holders lose, given that. Therefore, shareholders protected by the limited liability. On the other hand, if the benefits captured by debt holders reduce the returns to shareholders, then an incentive to reject positive net present projects has created. Thus, the debt contract gives shareholders incentives to invest sub optimally. In addition, Myers (1977) argued that the firms with many growth opportunities should not be financed by debt, to reduce the negative net value projects.   Furthermore, some of arguments have been debated that the magnitude of the agency costs varies among firms. It will depend on the tastes of managers, the ease with which they can exercise their own preferences as opposed to value maximization in decision making, and the costs of monitoring and bonding activities. Therefore, the agency costs depend upon the cost of measuring the manager’s performance and evaluating it (Jensen and Meckling, 1976). (Jensen, 1986) either points out that when firms make their financing decision, they evaluate the advantages that may arise from the resolution of the conflicts between managers, shareholders and from long run tax shields.   In addition, Lasfer (1995) argues that debt finance creates a motivation for managers to work harder and make better investment decisions. On the other hand, debt works as a disciplining tool, because default allows creditors the option to force the firm into liquidation. Debt also generates information that can be used by investors to evaluate major operating decisions including liquidation (Harris and Raviv, 1990). Jensen (1986) debated that when using debt without retention of the proceeds of the issue, bonds the managers to meet their promise to pay future cash flows to the debt holders. Thus, debt can be an effective substitute for dividends. By issuing debt in exchange for stock, managers are bonding their promise to pay out future cash flows in a way that cannot be accomplished by simple dividend increases. Consequently, managers give recipients of the debt the right to take the firm to the bankruptcy court if they do not maintain their commitment to make the interest and principle payments. Thus, debt reduces the agency costs of free cash flow by reducing the cash flow available for spending at the discretion of managers. Jensen (1986) claimed that these control effects of debt are a potential determinant of capital structure. In practice, it is possible to reduce the owner manager non pecuniary benefits; by using these instruments external auditing, formal control systems, budget restrictions, and the establishment of incentive compensation systems serve to identify the manager’s interests more closely with those of the outside shareholders (Jensen and Meckling, 1976). Jensen (1986) suggested that leverage and dividend may act as a substitute mechanism to reduce the agency costs. Agency cost models predict that dividend payments can reduce the problems related to information asymmetry. Dividend payments might be consider also as a mechanism to reduce cash flow under management control, and help to mitigate the agency problems (Rozeff, 1982, and Easterbrook, 1984). Therefore, paying dividends may have a positive impact on the firms value. â€Å"Agency theory posits that the dividend mechanism provides an incentive for managers to reduce the costs related to the principal agent relationship, one way to reduce agency costs is to increase dividends† Baker and Powell (1999). They also claim that firm use the dividends use as a tool to monitor the management performance. Moreover, Easterbrook (1984) and Jensen (1986) argue that agency costs exist in firms because managers may not always want to maximize shareholder’s wealth due to the separation of ownership and control. Jensen (1986) addresses the free cash flow theory, in terms of this theory the conflict of interest between managers and stockholders is rooted in the presence of informational and self interest behavior. He defines the free cash flow as â€Å"cash flow in excess of that required to fund all projects that have positive net present value when discounted at the relevant cost of capital† (Jensen,1986). Within the context of the free cash flow hypothesis, firms prefer to increase their dividends and distribute the excess free cash flow in order to reduce agency costs. Consequently, markets react positively to this type of information. This theory is attractive because it is consistent with the evidence about investment and financing decisions (Jensen, 1986, Frankfurter and Wood, 2002). 2.2 Leverage Literature This section reviews the determinants of capital structure by different relevant literatures. Titman and Wessels (1988) study is considered to be one of the leading studies in the developed markets. They tried to extend the empirical work in capital structure theory by examining a much broader set of capital structure theories, and to analyze measures of short term, long term, and convertible debt. The data covers the US industrial companies from 1974 to 1982, and they used a factor analytic approach for estimating the impact of unobservable attributes on the choice of corporate debt ratios. As a result, the study confirms these factors, collateral values of assets, non-debt tax shields, growth, and uniqueness of the business, industry classification, firm size, and firm profitability. They also found that there is a negative relationship between debt levels and the uniqueness of the business. In addition, short term debt ratios have a negative relationship to firm size. However, they do not provide support for the effect on debt ratios arising from non debt tax shields, volatility, collateral value of assets, and growth. In Jordan, Al-Khouri and Hmedat (1992) aimed to find the effect of the earnings variability on capital structure of Jordanian corporations from the period from 1980 to 1988. They included 65 firms. The study used a multivariate regression approach with financial leverage as the dependent variable measured in three ways; first, long term debt over total assets, secondly, short term debt over total assets, and finally, short term debt plus long term debt over total assets. The standard deviation of the earnings variability and the size of the firm measured as independent variables. They concluded that the firm size is considered as a significant factor in determining the capital structure of the firm, and insignificant relationship between the earning variability and financial leverage of the firm. Furthermore, they suggest that the type of industry is not considered as a significant factor in determining the capital structure of the firm. Rajan and Zingales (1995) provided international evidence about the determinants of capital structure. They examined the capital structure in other countries related to factors similar to those that influence United States firms. The database contains 2583 companies in the G7 countries. They used regression analysis with the firm’s leverage (total debt divided by total debt plus total equity) as the dependent variable. Tangible assets, market to book ratio, firm size, and firm profitability used as independent variables. They found that in market bases firms with a lot of fixed assets are not highly levered, however, they supported that a positive relationship exists between tangible assets, and firms size, and capital structure (leverage). On the contrary, they confirmed that there is a negative relationship between leverage and the market to book ratio, and profitability. From the capital structure literature, Ozkan (2001) also investigated that the determinants of the target capital structure of firms and the role of the adjustment process in the UK using a sample of 390 firms. The multiple regression approach (panel data) was used to measure the debts by total debt to total assets, on the one hand. He also used in his model, non debt tax shield, firm size, liquidity, firm profitability, and firm growth as an independent variables. He confirmed that the profit, liquidity, non debt tax shield, and growth opportunities have a negative relationship to capital structure (leverage). Finally, he supported that there is a positive effect arising from size of firms on leverage. The study provided evidence that the UK firms have long term target leverage ratios and that they adjust quickly to their target ratios. The study by Booth et al. (2001) is considered as a one of the leading studies in the developing countries. It aimed to assess whether capital structure theory is applicable across developing countries with different institutional structures. The data include balance sheets and income statements for the largest companies in each selected country from the year 1980 to 1990. It included 10 developing countries: India, Pakistan, Thailand, Malaysia, Zimbabwe, Mexico, Brazil, Turkey, Jordan, and Korea. The study used multivariate regression analysis with dependent variables; total debt ratio, long term book debt ratio, and long term market to debt ratio. The independent variables are; average tax rate, tangibility, business risk, firm size, firm profitability, and market to book ratio. Booth et al. found that the more profitable the firm the lower the debt ratio, regardless how the debt ratio is defined. In addition, the higher the tangible assets mix, the higher is the long term debt ratio but the smaller is the total debt ratio. Finally, it concluded that debt ratios in developing countries seem to be affected in the same way by the same set of variables that are significant in developed countries. Voulgaris et al. (2004) investigated the determinants of capital structure for Greek manufacturing firms. The study used panel data of two random samples one for small and medium sized enterprises (SMEs) including 143 firms and another for large sized enterprises (LSEs) including 75 firms for the period from 1988 to 1996. It used a leverage model as a dependent variable (short run debt ratio, long run debt ratio, and total debt ratio). On the other hand, It used firm size, asset structure, profitability, growth rate, stock level, and receivables as independent variables. The study suggested that there are similarities and differences in the determinants of capital structure among the two samples. The similarities include that the firm size and growth opportunities positively related to leverage. While, they confirm that the profitability has a negative relationship to leverage. Moreover, they pointed out the differences that the inventory period, and account receivables collection period have been found as determinants of debt in SMEs but not in LSEs. Liquidity doest not affect LSEs leverage, but it affects the SMEs. Finally, they also suggested that there is a positive relationship between profit margins and short term debt ratio only for SMEs. Voulgaris et al. (2004) have debated this arguments as; ‘‘the attitude of banks toward small sized firms should be changed so they provide easier access to long-term debt financing’’. In addition, â€Å"enactment of rules that will allow transparency of operations in the Greek stock market and a healthier development of the newly established capital market for SMEs will assist Greek firms into achieving a stronger capital structure’’. 2.3 Dividends payout ratio literature Dividend payout ratios vary between firms and the dividend payout policy will impact the agency cost theory. Rozeff (1982) investigated in his study that the dividends policy will be rationalize by appealing the transaction cost and agency cost associated with external finance. Moreover, Rozeff (1982) had found evidences supporting how the agency costs influence the dividends payout ratio. He found that the firms have distributed lower dividend payout ratios when they have a higher revenue growth, because this growth leads to higher investment expenditures.  This evidence supports the view of the investment policy affect on the dividend policy; the reason for that influences is that would the external finance be costly. Conversely, he found that the firms have distributed higher dividends payouts when insiders hold a lower portion of the equity and (or) a greater numbers of shareholders own the outside equity. Rozeff (1982) pointed out that this evidence supports that the dividend payments are part of the firm’s optimum monitoring and that bonding package reduces the agency costs. Moreover, if the agency cost declines when the dividend payout does and if the transaction cost of external finance increases when the dividend payout is increased as well, then minimization of these costs will lead to a unique optimum for a given firm. In addition, Hansen, Kumar, and Shome [HKS], (1994) pointed out the relevance of the monitoring theory for explaining the dividends policy of regulated electric utilities. From an agency cost perspective, they emphasized their ideas that the dividends promote monitoring of what they call the shareholders regulator conflict. Therefore, it is a monitoring role of dividends. On the contrary, Easterbrook’s (1984) has noted that the dividends monitoring of the shareholders managers conflict. They also have observed that the utilities firms have a discipline of monitoring mechanism for controlling agency cost, depending on the relative cost effectiveness of those costs (Crutchly and Hensen, 1989). The regulator process will impact the conflict between the shareholders and mangers, by mitigate the managers’ power to appropriate shareholders’ wealth and consume perquisites (Hansen et al. 1994). On the other hand, they argued this issue by the cost-plus concept, regulators may set into motion of managerial incentive structure that potentially conflicts with shareholders interests, this concept solve the shareholders-regulators concept since the sources of the conflict lies in differences in the perceptions of what constitutes fair cost plus. Therefore, the regulation can control some of the agency cost while exacerbating others. In their study, they conduct also that the managers and shareholders of unregulated firms have a several mechanisms whether, internal or external, for controlling agency cost. In addition, they observed that the dividend policy to reduce the agency theory is not limited, depending on their findings they suggested that the cost of dividend payout policy might be below the costs paid by other types of firm. In fact the utilities company maintain high debt ratio that would maintain as well as equity agency costs. Aivazian et al. (2003b) compare the dividend policy behaviour of eight emerging markets with dividend policies in the US firms in the period from 1980 to 1990. The sample included firms from; Korea, Malaysia, Zimbabwe, India, Thailand, Turkey, Pakistan, and Jordan. They found that it is difficult to predict dividend changes for such emerging markets. This is because the quality of firms with reputations for cutting dividends is somehow similar to those who increase their dividends, than for the US control sample. In addition, current dividends are less sensitive to past dividends than for the US sample of firms. They also found that the Lintner model[1] does not work well for the sample of emerging markets. These results indicate that the institutional frameworks in these emerging markets make dividend policy a weak technique for signaling future earnings and reducing agency costs than for the US sample of firms. Furthermore, Omran and Pointon (2004) investigated the role of dividend policy in determining share prices, the determinants of payout ratios, and the factors that affect the stability of dividends for a sample of 94 Egyptian firms. They found that retentions are more important than dividends in firms with actively traded shares, but that accounting book value is more important than dividends and earnings for non-actively traded firms. However, when they combined both the actively traded and non-traded firms, they found that dividends are more important than earnings. In the determinants of payout ratios, they found that there is a negative relationship between the leverage ratio and market to book ratio, tangibility, and firm size on the one hand, to the payout ratios in actively traded firms. On the contrary, they also found that there is a positive relationship between the business risk, market to book and firm size (measured by total assets) to payout ratios in non-actively traded firms. Furthermore, for the whole sample, leverage has a positive relationship with payout ratios, while firm size (measured by market capitalization) is negatively related to payout ratios. Finally, the stepwise logistic regression analysis shows that decreasing dividends is associated with lack of liquidity and overall profitability. In addition, increasing dividends is associated with higher overall profitability. 2.4 Summary In this chapter the relevant literatures addressing the reviews of the agency cost theory related to the financial policies. It also gives a theoretical background on how the conflicts of interests arise between the agents (managers) and the principal (shareholders). The second and third sections present the determinants of leverage and dividend payout policy. The following chapter will go through the description of data, and data methodology was employed for this dissertation. 3. Methodology, Research Design and Data Description The aim of the current study is to investigate firstly, the empirical evidence of the determinants of leverage and dividend policy under the agency theory concept for the period 2002-2007. The majority of the previous studies in the field of capital structure have made in the context of developed countries such as USA and UK. It is important to investigate the main determinants of leverage and dividend policy in developing countries where, capital markets, are less developed, less competitive and suffering from the lack of compatible regulations and sufficient supervision This chapter will explain the research methodology of this study. This chapter also identifies the sample of the study. Moreover, it presents an illustration of the econometric techniques that have been employed. In addition, this chapter gives a brief explanation of the specification tests used in the study to identify which technique is the best for the data set. This chapter structured as follows; Section (3.1) presents data description.  Section (3.2) presents the sample of the study. Section (3.3) discusses the econometric techniques employed in the study. Finally, Section (3.4) provides a brief summary. 3.1 Data Description The data used in the study are secondary data for companies listed at Amman Stock Exchange (ASE) for the period of 2002-2007. The data was extracted from the firm’s annual reports, and from Amman Stock Exchange’s publications (The Yearly Companies Guide, and Amman Stock Exchange Monthly Statistical Bulletins). Data is readily available in the form of CD and on the website of the Amman Stock Exchange. The reason for the study period selection was to minimize the missing observations for the sample companies. Moreover, a different reporting system has been used since 2000. The application of the new reporting system was the result of the transparency act which was launched in 1999, and forced all companies listed in Amman Stock Exchange to disclose their financial information and publish their annual reports according to the International Financial Reporting Standards. In other words, this data series for the period from 2002-2007 was chosen in terms of consistency and comparability purposes. 3.2 Sample of the study The sample of the study consists of the Jordanian Manufacturing companies listed on the Amman Stock Exchange for the period of 2002-2007. The total number of the companies listed in ASE at the end of year 2007 was 215. Officially, these companies are divided into four main economic sectors; Banks sector, Insurance sector, Services sector and finally Industrial sector. Moreover, this study is concerned only with Jordanian manufacturing companies that their stocks are traded in the organized market. It is important to note that the capital structure of financial firms has special characteristic when compared to the capital structure of non financial firms, they also have special tax treatment (Lester, 1995). On the other hand, the financial firms have a higher leverage rate, which may tend to make the analysis results biased. Moreover, financial firms their leverage is affected by investor insurance schemes (Rajan and Zingals, 1995). For these reasons, the potential sample of the study consists of non financial (Manufacturing) companies that are still listed in Amman Stock Exchange. The total number of industrial companies listed in ASE at the end of year 2007 was 88 companies, which are 40.93% of the total number of the companies listed in that market. The study conducts the following criteria in selecting the sample upon the Jordanian manufacturing companies by excluding all the firms that was incorporated after year 2002, and all the firms that have merged or acquired during this period, further, the firms have liquidated or delisted by the Amman Stock Exchange, and finally, the study have also excluded the firms that have information missing for that period. The application for those criteria has resulted in 52 samples of manufacturing companies. The data for the variables that are included in the study models is tested using three different econometric techniques which will be discuss briefly in the next sections. 3.3 Econometrics techniques Hairs et al. (1998) argued that the application of econometrics technique depends on the nature of data employed in the study, and to what extent it would be realised to the research objectives. In order to find a best and adequate data model, the current study employs pooled data technique and panel data analysis which is usually estimated by either fixed effect technique or random effects technique.  The following sections provide a brief discussion on the econometrics techniques that the current study uses to estimate the empirical models. 3.3.1 Pooled Ordinary Least Square (OLS) technique All the models used in the study have been tested by the pooled data analysis technique. The pooled data is the data that contains pooling of time series and cross-sectional observations (combination of time series and cross-section data) (Gujarati, 2003). The pooled data analysis has many advantages over the pure time series or pure cross sectional data. It generates more informative data, more variability, less collinearity among variables, more degrees of freedom, and more efficiency (Gujarati, 2003). The underlying assumption behind the pooled analysis is that, the intercept value and the coefficients of all the explanatory variables are the same for all the firms, as well as they are constant over time (no specific time or individual aspects). It also assumes that the error term captures the differences between the firms (across-sectional units) over the time. However, (Gujarati, 2003) has pointed out that these assumptions are highly restrictive. He argues that although of it is simplicity and advantages, the pooled regression may distort the true picture of the relationship between the dependent and independent variables across the firms. Pooled model will be simply estimated by Ordinary Least Square (OLS). However, OLS will be appropriate if no individual (firm) or time specific effects exist. If they exist, the unobserved effects of unobserved individual and time specific factors on dependent variable can be accommodated by using one of the panel data techniques.   According to (Gujarati, 2003) panel data is a special form of pooled data in which the same cross-sectional unit is surveyed over time. It helps researchers to substantially minimize the problems that arise when there is an omitted variables problems such as time and individual-specific variables and to provide robust parameter estimates than time series and (or) cross sectional data. All the empirical models that have been tested by using pooled data analysis and tested again on the basis of panel data analysis techniques (Fixed Effects and Random Effects).   3.3.2 The fixed effects model (FEM) Fixed effects technique allows control for unobserved heterogeneity which describes individual specific effects not captured by observed variables. According to Gujarati (2003) the fixed effect model takes into account the specific effect of each firm â€Å"the individuality† by allowing the intercept vary across individuals (firms), but each individual’s intercept does not vary over time. However, it still assumes that the slope coefficients are constant across individuals or over time. Two methods used to control for the unobserved fixed effects within the fixed effects model; the first differences and Least Square Dummy variables (LSDV) methods.  For the purposes of the current study, (LSDV) was used where; two sets of dummy variables (industry, and year dummy variables). The additional dummy variables control for variables that are constant across firms but change over time. Therefore, the combine time and individual (firm) fixed effects model eliminates the omitted variables bias arising both from unobserved factors that are constant over time and unobserved factors that are constant across firms. However, fixed effects model consumes the degrees of freedom, if estimated by the Least Square Dummy Variable (LSDV) method and, too many dummy variables are introduced (Gujarati, 2003). Furthermore, with too many variables used as regressors in the models, there is the possibility of multicollinearity. It is worth noting that OLS technique used in estimating fixed effects model. 3.3.3 The Random Effects Model (REM) By contrast, fixed effects model, the unobserved effects in random effects model is captured by the error term (ÃŽ µit) consisting of an individual specific one (ui) and an overall component (vit) which is the combined time series and cross-section error. Moreover, it treats the intercept coefficient as a random variable with a mean value (ÃŽ ±0) of all cross-sectional (firms) intercepts and the error component represents the random deviation of individual intercept from this mean value (Gujarati, 2003). Consequently, the individual differences in the intercept values of each firm are reflected in the error term (ui). On the other hand, the Generalized Least Square (GLS) used in estimating random affects model.  This is because the GLS technique takes into account the different correlation structure of the error term in the Random Effect Model (REM) (Gujarati, 2003). 3.3.4 Statistical specification tests The study uses three specification tests to identify which empirical method is the best. These tests are used for testing the fixed effect model versus the pooled model (F-statistics), the random effect model versus pooled model (Lagrange Multiplier test) (LM), and the fixed effect model versus the random effect model (Hausman test). The following sub-sections offer brief disc