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This paper aims to test the significance of unobservable firm-specific effects on a capital structure model.

The paper employs the restricted least squares method to test the significance of unobservable firm-specific effects in a fixed effects model that includes unobservable effects against a pooled ordinary least squares model that excludes unobservable effects.

The empirical findings indicate that models that include unobservable firm-specific effects are correctly specified.

The limitation of this study comes from lack of data to measure unobservable effects such as managerial ability or managerial skills. Future research can develop index measures of managerial ability or managerial skills and borrow from management theory to explain the connection between managerial ability or managerial skills and firms' capital structure.

The findings imply that a capital structure model that excludes firm-specific effects could be mis-specified because such a model does not control for unobservable firm-specific factors such as managerial ability or managerial skills which have significant effects on firms' capital structure decisions.

The findings are important because the paper applies the restricted least squares method to test the significance of unobservable firm-specific effects. This technique has not been applied previously. The paper contributes to capital structure research in the fast growing South Africa.

In this paper we use a large linked employer-employee data set on German establishments between 1993 and 2012 to investigate how the gender composition of the top layer of management affects a variety of establishment and worker outcomes. We use two different measures to identify the gender composition of the top layer based on direct survey data: the fraction of women among top managers, and the fraction of women among working proprietors. We document the following facts: (a) There is a strong negative association between the fraction of women in the top layer of management and several establishment outcomes, among them business volume, investment, total wage bill per worker, total employment, and turnover; (b) Establishments with a high fraction of women in the top layer of management are more likely to implement female-friendly policies, such as providing childcare facilities or promoting and mentoring female junior staff; (c) The fraction of women in the top layer of management is also negatively associated with employment and wages, both male and female, full-time and part-time. However, all of these associations vanish when we include establishment fixed effects and establishment-specific time trends. This reveals a substantial sorting of female managers across establishments: small and less productive establishments that invest less, pay their employees lower wages, but are more female-friendly are more likely to be led by women.

Using a meta-regression analysis, we quantitatively review the empirical literature on the relation between effective tax rate (ETR) and firm size. Accounting literature offers two competing theories on this relation: The political cost theory, suggesting a positive size-ETR relation, and the political power theory, suggesting a negative size-ETR relation. Using a unique data set of 56 studies that do not show a clear tendency towards either of the two theories, we contribute to the discussion on the size-ETR relation in three ways: First, applying meta-regression analysis on a US meta-data set, we provide evidence supporting the political cost theory. Second, our analysis reveals factors that are possible sources of variation and bias in previous empirical studies; these findings can improve future empirical and analytical models. Third, we extend our analysis to a cross-country meta-data set; this extension enables us to investigate explanations for the two competing theories in more detail. We find that Hofstede’s cultural dimensions theory, a transparency index and a corruption index explain variation in the size-ETR relation. Independent of the two theories, we also find that tax planning aspects potentially affect the size-ETR relation. To our knowledge, these explanations have not yet been investigated in our research context.

This study aims to investigate the influence and impact mechanism of capital tax incentives on firm innovation.

This study employs the difference-in-differences (DID) method, in conjunction with the exogenous impact of accelerated depreciation (AD) pilot policy. This study selects Chinese listed companies from 2010 to 2017 as the research sample.

Firstly, AD exerts a substantial positive effect on the quantity and quality of the innovation output of firms, and the positive impact results primarily from heightened investment in fixed assets, particularly, machinery and equipment. Secondly, the influence of the policy is pronounced in non-state-owned enterprises, mature enterprises, less capital-intensive enterprises and non-high-tech industries, which all exhibit strong innovation incentives. Lastly, the tax incentive policy significantly stimulates firm innovation in the short term, but its long-term impact on innovation incentives lacks statistical significance.

This study highlights the significance of capital tax incentives in facilitating the innovation process in firms.

This study examines how creditor interventions after debt covenant violations affect corporate tax avoidance. Using a regression discontinuity design, we find that creditor interventions increase borrowers' tax avoidance. This effect is concentrated among firms with weaker shareholder governance before creditor interventions and among those with less bargaining power during subsequent debt renegotiations. Our results indicate that creditors play an active role in shaping corporate tax policy outside of bankruptcy.

The paper investigates the determinants of the Ordinary Least Squares (OLS) bias of the wage return to graduate education for high-school workers in Portugal.

The study uses matched employer-employee data for Portugal, over the 2002–2012 period, to estimate a wage-schooling model that controls not only for individual observed characteristics, firm observed characteristics and year fixed effects, but also for three high-dimensional vectors of fixed effects – one for employees, one for employers and one for job titles.

The main results are the following. First, disregarding individual fixed effects is highly problematic, accounting for 48.5% of the OLS bias. Second, disregarding firm fixed effects is also problematic, accounting for 12.3% of the OLS bias.

The implication for the studies in the labor-supply literature that estimate, by means of instrumental variables, the wage returns to in-school work or to on-the-job schooling is that an instrument dealing with employee’s unobserved ability only may fail to meet the exclusion restriction.

Take the typical instrument based on a policy reform that changes the compulsory schooling level in the population. This instrument may well be argued to be correlated with the education of the employee and uncorrelated with the unobserved ability of the employee, but unfortunately it cannot be seen as orthogonal to the unobserved ability of the employer because of its correlation with the (unobserved) education of the manager. This is a simple corollary of the fact that the employee and the manager belong, in general, to the same population.

Individuals invest a considerable amount of resources in education, which is seen to have positive effects on several dimensions of individual life. Yet, the estimation of these effects is still surrounded by technical difficulties.

To the best of the authors’ knowledge, this is the first study that uses the Gelbach decomposition to investigate the determinants of the OLS bias of the wage return to graduate education for high-school workers.

This study investigates the association between corporate sustainability disclosures and firm performance and value.

This study collected data from 694 manufacturing companies operating in 34 countries between 2007 and 2019, yielding 6,181 firm-year observations. This study employs a dual-model framework to analyze the influence of environmental, social, and governance (ESG) performance on return on assets (ROA), return on equity (ROE), and Tobin's Q ratio. Two sets of control variables, firm- and country-specific, were incorporated to account for potential confounding factors. To validate the robustness of the findings, we utilized a battery of econometric techniques, including traditional ordinary least squares (OLS), firm-fixed effects, quantile regression, and instrumental variables-generalized method of moments (IV-GMM), applied to both the pooled and firm-fixed effects models.

The findings are contradictory: there is a negative relationship between sustainability disclosure and operating performance and return on equity, but a positive relationship between sustainability disclosure and firm value. The negative correlation is consistent with agency theory and the positive correlation is consistent with the legitimacy and shareholder theories. These results are robust to performance measures and estimation methods.

Short-term profit shouldn't deter sustainability. It boosts legitimacy, reputation, efficiency, and long-term market value. Investors must look beyond profitability ratios, embracing ESG metrics. Firms should see sustainability as strategic investment, not cost. Patience pays off: long-term gains await. Regulation can guide balanced growth, prioritizing both shareholders and societal well-being.

This study is the first to adopt a firm’s fixed-effect quantile regression, which provides deep insights into the role of sustainability disclosure in meeting stakeholders’ expectations.

Panel data, where observations of entities are repeated over time, are common in strategic management research. However, explorations of the role of time on predictors of interest are often unexplored. In this chapter, we illustrate how the use of mixed-effect growth models can enhance theory and research in strategic management by exploring changes in outcomes of interest over time. Mixed-effects models allow for testing both within and between effects, while also calculating specific intercepts (firm average values) and slopes (trajectories of specific firms over time) using empirical Bayes estimates. We also illustrate how a discontinuous growth model could be used to assess differences in firm intercepts and slopes surrounding exogenous events (e.g., global pandemics) without requiring a control group.

The purpose of this paper is to investigate the impact of firm-specific (i.e. firm size, profitability, leverage, dividend, growth opportunities, management quality and firm age) and country-specific (i.e., gross domestic product [GDP] growth) variables on compensation/remuneration offered to chief executive officers (CEOs) working in different industries of Pakistan.

Panel data techniques, namely, pooled ordinary least squares, fixed effects and random effects methods are used to estimate the results. Moreover, Hausman test is used to choose which estimation method, either fixed effects or random effects, is better to explain the results.

Firm size, profitability, leverage, growth opportunities and age are some important firm-specific factors that have mixed (i.e. positive/negative) impact on CEO compensation in different industries. Variations in results are due to industry dynamics. However, it is important to mention that three key variables, namely, dividend, management quality and GDP growth have shown consistent positive impact on CEO compensation in most of the industries. In sum, results show that firm-specific and country-specific variables have material effects on CEO compensation. Moreover, results are found consistent with the predictions of agency theory and human capital theory.

The authors are sure that findings of this study provide some support to the board of directors to determine the pay slice for CEOs. Moreover, findings provide support to the regulatory authorities in formulating mechanisms to determine the compensation package for CEOs working in different industries and to improve the Code of Corporate Governance.

To the best of the authors’ knowledge, no empirical study in Pakistan has yet estimated the effects of firm-specific and country-specific variables on compensation offered to CEOs working in different industries. Thus, industry-wise analysis provides some new insights to the decision-makers and lays some foundation upon which a more detail analysis could be based.

The purpose of this paper is to show that for some key topics on labour economics such as the effect of seniority and job mobility in wages, it is important to explicitly consider firm fixed effects. The author also wants to test whether the importance of firm in explaining wage dispersion is higher or lower in Spain than in other European countries.

The author estimates an individual wage equation where firm and workers effects are considered and the estimation process control for censored wages. This exercise is performed for the Spanish economy over the course of a whole business cycle, i.e., 2000-2015.

The author demonstrates that Spanish firms contribute to explain around 27 per cent of the individual wage heterogeneity but more importantly around 74 per cent of inter-industry wage differentials. In both cases, this contribution is mainly related to large dispersion in firm’s wage policies. The process of positive sorting of workers across firms or industries does not play an important role. Interestingly, the importance of firm’s wage policies in explaining individual wage dispersion has increased over the current Big Recession.

The results confirm that firms set wages and, henceforth, are partially responsible for individual wage heterogeneity but more importantly for inter-industrial wage dispersion.

The exercise is performed under optimal conditions because the author uses a longitudinal matched employer-employee data set, observed wages are at a monthly frequency, and implements an estimation method suitable for censored models with two high-dimensional fixed effects. This is the first study that looks deeply into the role of firms in explaining wage heterogeneity at the individual and industry level in Spain and along the current Big Recession.