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This study aims to examine the determinants of the allowance for loan losses (ALL) and loan loss provisions (LLP) for banks in the Middle East and North African (MENA) region using both a two-stage approach and simultaneous equation system to address the potential problem of estimation bias introduced by estimating the ALL and LLP separately. The paper also tests three competing hypotheses: the earnings management hypothesis, the capital management hypothesis, and the signaling hypothesis.

The authors adopt a simultaneous equation and three-stage approaches to test whether MENA banks jointly determine LLP and ALL and the determinants of the two accounts. The sample consists of all available electronic data for 75 banks (451 bank-year observations) in nine MENA countries over the period 2000-2008.

Evidence suggests that the two accounts are jointly determined. The results support the earnings management hypothesis – meaning that MENA banks have engaged in year-to-year income smoothing. The authors also find that LLP and ALL provide signals about future earnings.

The authors acknowledge that the LLP account is only one of many accounts on the income statement that could be used for signaling or to manage earnings, and that the ALL is one of several accounts that could be used for signaling, earnings or capital management. Future studies could examine other accruals for their role in managing earnings, signaling and capital.

The results indicate that bank managers use LLP and ALL accounts to manage earnings management, policy makers may want to limit the ability of banks to manipulate earnings.

Prior research on the loan loss accounting practices has been based on single equation models of the determinants of LLP and ALL. An issue that has not been adequately addressed in this literature is that ALL and LLP may be interrelated and jointly determined by banks. If the two accounts are not independent of each other, failure to include one when estimating the other may lead to an omitted variable problem, while including both in the same equation induces a potential simultaneity bias. The study is the first empirical work examining whether ALL and LLP are jointly determined by banks. By jointly estimating LLP and ALL, the study permits an assessment of the magnitude of the potential error from adopting ordinary least squares estimation of a single equation model.

This study/paper aims to present a separable identification algorithm for a multiple input single output (MISO) continuous time (CT) hybrid “Box–Jenkins”.

This paper proposes an optimal method for the identification of MISO CT hybrid “Box–Jenkins” systems with unknown time delays by using the two-stage recursive least-square (TS-RLS) identification algorithm.

The effectiveness of the proposed scheme is shown with application to a simulation example.

A two-stage recursive least-square identification method is developed for multiple input single output continuous time hybrid “Box–Jenkins” system with multiple unknown time delays from sampled data. The proposed technique allows the division of the global CT hybrid “Box–Jenkins” system into two fictitious subsystems: the first one contains the parameters of the system model, including the multiple unknown time delays, and the second contains the parameters of the noise model. Then the TS-RLS identification algorithm can be applied easily to estimate all the parameters of the studied system.

This research empirically investigates the evidence of the financial development and economic growth nexus in sub-Saharan Africa from 1995 to 2022.

A series of preliminary tests are conducted before using the two-stage estimated generalized least squares and robust least squares methods for the analysis. Two indices are constructed to measure financial development: one for the banking sector indicators and another for the market-based indicators (Ustarz and Fanta, 2021).

The results indicate that the banking sector index significantly impacts the gross domestic product (GDP) per capita positively. The market sector index has a negatively significant effect on the GDP per capita. Government expenditure has a positive impact on the GDP per capita.

Policymakers in sub-Saharan Africa should improve and implement finance–growth inclusive strategies that promote financial reforms and development to efficiently impact all population sectors. Policymakers should take stringent measures to ensure that the banking sector's development is sustainable to lead economic growth. The governments should strategize and promote capital market development using favorable listing rules for companies in the stock markets. Global stock market integration should be encouraged to diversify risks, increase public awareness, raise investors' confidence level and reduce stock market impediments like high taxes and regulatory barriers.

Previous study findings on the financial development and economic growth nexus are inconclusive and debatable. This study employs the financial development index approach.

This paper provides statistical evidence about the effect of work and family programs on productivity using a sample of large Fortune 500 companies in 30 industries in the US economy. Cross‐sectional firm‐level data on work and family programs are combined with financial data on companies to estimate production functions. Alternative specifications and estimation techniques are applied, including ordinary least squares and two‐stage least squares, with controls or corrections for union status, capital quality, heteroskedasticity, and possible endogeneity of company work‐family programs. The empirical results suggest that work‐family support programs succeed in improving productivity. The positive effects on firm performance may help to explain the growth and spread of work and family programs among US corporations in recent years. Further research is needed to evaluate the economic costs of work and family programs and to identify the mechanisms whereby work and family programs result in improved productivity.

Previous empirical studies on the nature of the relationship between ownership and corporate value have produced mixed results. Meanwhile, effective management of knowledge‐based intellectual capital has become a key factor to corporate success, both in firm performance and corporate value. Thus, this paper aims to reexamine the link among ownership, proxies for intellectual capital and corporate value in the emerging Taiwan market.

Using two‐stage least square estimation of panel data in a simultaneous equations framework, the authors focus on: What is the interdependent impact of ownership on corporate value through the mediating role of intellectual capital (IC)? Does ownership directly or indirectly (i.e. via IC) influence corporate value? Does it persist across industries?

The empirical results suggest that the relationship between ownership and corporate value mainly depends on industry characteristics and the nature of proxies for intellectual capital in the emerging Taiwanese market. Further, the impacts of ownership on corporate value in more traditional industries are even stronger, that is, there exists the direct impact of ownership mechanism on corporate value. Notably, for the high‐tech firms, ownership can indirectly affect corporate value through the moderating role of intellectual capital.

The implication reminds managers and investors not merely focusing on ownership mechanisms as the main value‐creation information, but a thorough review of IC should be made in order to avoid making incorrect decisions. The limitations suggest areas for further research. For instance, it is important to extend the role of intellectual capital (i.e. to employ other variables to proxy for IC) in exploring the interdependent impact of ownership on corporate value.

The paper potentially adds to ongoing research by extending the importance of the concept of IC in assessing the interdependent impact of ownership on corporate value.

This paper aims to investigate the question concerning whether gender diversity in the boardroom matters to lenders or not?

To answer this question, the authors use the data from 2009 to 2015 of all A-share listed companies on the Shanghai and Shenzhen stock exchanges. The authors use ordinary least squares regression and firm fixed effect regression to draw our inferences. To check and control the issue of endogeneity the authors use one-year lagged gender diversity regression, two-stage least squares regression, propensity score matching method and Heckman two-stage regression.

The results suggest that the presence of female directors on the board reduces managerial opportunistic behavior and information asymmetry and, consequently, creditors’ perceptions about the probability of loan default and the cost of debt. The authors find that lenders charge 4 per cent less from borrowers that have at least one female board member than they do from borrowers with no female board members. The authors also find that the board structure (i.e. gender diversity) of government-owned firms also matters to lenders, as government-owned firms that have gender-diverse boards have a lower cost of debt (i.e. 5 per cent lower interest rate).

The findings have implications for individual borrowers and for regulators. For example, borrowers can get debt financing at lower rates by altering their boards’ composition (i.e. through gender diversity). From the regulatory perspective, the results support recent legislative initiatives around the world regarding female directors’ representation on boards.

This paper makes several contributions. First, beyond the recent studies on boardroom gender, the authors investigate the relationship between gender diversity in the boardroom and the cost of debt. Second, the authors extend the literature on the association between government ownership and cost of debt by first time providing evidence that the board composition (e.g. gender diversity) of government-owned firms also matters to the lenders. The other contributions are discussed in the introduction section.

There is a growing literature in nonparametric econometrics in the recent two decades. Given the space limitation, it is impossible to survey all the important recent developments in nonparametric econometrics. Therefore, we choose to limit our focus on the following areas. In Section 2, we review the recent developments of nonparametric estimation and testing of regression functions with mixed discrete and continuous covariates. We discuss nonparametric estimation and testing of econometric models for nonstationary data in Section 3. Section 4 is devoted to surveying the literature of nonparametric instrumental variable (IV) models. We review nonparametric estimation of quantile regression models in Section 5. In Sections 2–5, we also point out some open research problems, which might be useful for graduate students to review the important research papers in this field and to search for their own research interests, particularly dissertation topics for doctoral students. Finally, in Section 6 we highlight some important research areas that are not covered in this paper due to space limitation. We plan to write a separate survey paper to discuss some of the omitted topics.

The purpose of this paper is to quantify how the People’s Republic of China’s (PRC) export volume affects the anti-dumping (AD) petitions filed by its major trading partners against the country.

Focusing on the AD petitions at the Harmonized System (HS) Code eight-digit level and the PRC’s exports at the HS two-digit level to its major trade partners during the financial crisis, we construct three instrument variables for export volume within HS two-digit level variation in the variables. These instruments – documents required, time taken and container charges incurred for goods traded across borders – represent trade costs obtained from World Bank’s Doing Business Project. We find rising exports from the PRC lead to rising AD petitions against the country.

Instrumental variable estimates indicate that a 1 percentage point rise in the PRC’s export volume raises the number of AD petitions against the country by about 0.25 percentage points, and the probability of receiving AD petitions by 3.5 per cent. These estimates are about 10 times larger than that found in ordinary least square regressions.

Their quantitative significance underlines why it is important to consider the issue of export endogeneity in the estimation, and that the failure of the current trade statistics to account for the true value-added of traded goods particularly disadvantaged the PRC given its position as the factory of the world.

This study aims to investigate whether the presence of female directors on audit committees affects audit fees in Chinese listed companies. This study also investigates whether the audit committee’s gender diversity moderates the relationship between the firm’s inherent situational factors (e.g. audit complexity and firm risk) and audit fees. Finally, this study investigates whether the effect of the audit committee’s gender diversity on audit fees varies with within-country institutional contingencies (e.g. state-owned enterprises [SOEs] vs non-SOEs and firms that are located in more developed regions vs firms that are located in less developed regions)

This study used the data of all A-share listed companies on the Shanghai and Shenzhen stock exchanges for the period from 2009 to 2015. The authors use ordinary least squares regression as a baseline methodology, along with firm fixed effect, Deference in Deference method, two-stage least squares regression, two-stage Heckman model and generalized method of moments models to control for the possible issue of endogeneity.

The study’s findings suggest that the presence of female directors on the audit committee improves internal monitoring and communication, which reduce the perceived audit risk and the need for assurances from external auditors. The results also suggest that female directors demand high-quality audits and further assurance from external auditors when the firm is more complex and riskier. In addition, the results suggest that within-country, institutional factors play significant role in shaping the governance role of gender-diverse audit committee.

The study contributes to the agency theory by providing evidence that the interaction between agency theory and corporate governance “board composition” generates an effective monitoring mechanism and contributing to the institutional theory by finding that role of female directors on audit committee varies from context to another. In addition, this study contributes to literature review of gender diversity in the boardroom by finding the economic benefit of having female directors on audit committee. Finally, this study has implications for policy-makers in promoting regulations to legalize women presence on the board, to external auditors in assessing control risk during planning the audit, to those who responsible for appointing audit committee members.

The authors extend earlier studies by providing novel evidence on the relationship between gender-diverse audit committees and audit fees in terms of both the supply- and demand-side perspectives; that female directors moderate the relationship between firm inherent situational factors (e.g. audit complexity and firm risk) and audit fees; and that the effect of audit committees’ gender diversity on audit fees varies with sub-national institutional contingencies.

Multinational structure has been linked to operational flexibilities that can improve corporate adaptability and a knowledge‐based view suggests that multinational resource diversity can facilitate responsive opportunities. The enhanced maneuverability from this can reduce earnings volatility and hence the corporate performance risk. But, the internationalization process may also require irreversible investments that increase corporate exposures and leave the risk implications of multinational enterprize somewhat ambiguous. Hence, the purpose of the paper is to present an empirical study of the implied relationships between the degree of multinationality and various risk measures including downside risk, upside potential, and performance risk.

The paper provides a brief literature review, develops hypotheses, and tests them in two‐stage least square regressions on archival data to control for pre‐selection biases.

The analyses indicate that multinationality is associated with lower downside risk as well as higher upside potential and leads to reduced performance risk. The study finds no trace of diminishing effects from higher degrees of multinationality.

The empirical study uses a sample of large US‐based corporations, which could affect the generalizability of results. However, this is consistent with other studies and eases comparability of findings.

The findings add to the ongoing debate about the risk effects of a multinational corporate structure and confirms that a diverse multinational presence is associated with positive risk outcomes.

The paper complements a limited number of studies with equivocal results and adopts alternative risk outcome measures. The study extends the industry scope by introducing a comprehensive sample of firms operating in different manufacturing and service businesses.