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It is shown in the literature that the Arellano–Bond type generalized method of moments (GMM) of dynamic panel models is asymptotically biased (e.g., Hsiao & Zhang, 2015; Hsiao & Zhou, 2017). To correct the asymptotical bias of Arellano–Bond GMM, the authors suggest to use the jackknife instrumental variables estimation (JIVE) and also show that the JIVE of Arellano–Bond GMM is indeed asymptotically unbiased. Monte Carlo studies are conducted to compare the performance of the JIVE as well as Arellano–Bond GMM for linear dynamic panels. The authors demonstrate that the reliability of statistical inference depends critically on whether an estimator is asymptotically unbiased or not.

This study aims to conduct a comprehensive methodological review, exploring the strategies used to address endogeneity within the realms of corporate governance and financial reporting.

This research reviews the application of various methods to deal with endogeneity issue published in the 10 journals covering the corporate governance discipline included in the Web of Science’s Social Sciences Citation Index.

With a focus on empirical studies published in leading journals, the author scrutinizes the prevalence of endogeneity and the methodologies applied to mitigate its effects. The analysis reveals a predominant reliance on the two-stage least squares (2SLS) technique, a widely adopted instrumental variable (IV) approach. However, a notable observation emerges concerning the inconsistent utilization of clear exogenous IVs in some studies, highlighting a potential limitation in the application of 2SLS. Recognizing the challenges in identifying exogenous variables, the author proposes the generalized method of moments (GMM) as a viable alternative. GMM offers flexibility by not imposing the same exogeneity requirement on IVs but necessitates a larger sample size and an extended sample period.

The paper sensitizes researchers to the critical concern of endogeneity bias in governance research. It provides an outline for diagnosing and correcting potential bias, contributing to the awareness among researchers and encouraging a more critical approach to methodological choices, recognizing the prevalence of endogeneity in empirical studies, particularly focusing on the widely adopted 2SLS technique.

Practitioners, including corporate executives and managers, can benefit from the study’s insights by recognizing the importance of rigorous empirical research. Understanding the limitations and strengths of methodologies like 2SLS and GMM can inform evidence-based decision-making in the corporate governance realm.

This paper seeks to reconsider the Euler equation of the Consumption Capital Asset Pricing Model (CCAPM), to derive a regression‐based model to test it, and to present evidence that the model is consistent with reasonable values for the coefficient of relative risk aversion (CRRA). This runs contrary to the findings of the literature on the equity premium puzzle, but is in agreement with the literature that estimates the CRRA for the purpose of computing the social discount rate, and is in line with the research on labor supply. Tests based on General Method of Moments (GMM) for the same sample produce results that are extremely disparate and unstable. The paper aims to check and find support for the robustness of the regression‐based tests. Habit formation models are also to be evaluated with regression‐based and GMM tests. However, the validity of the regression‐based models depends critically on their functional forms.

The paper presents empirical evidence that the conventional use of GMM fails because of four pathological features of GMM that are referred to under the general caption of “weak identification”. In addition to GMM, the paper employs linear regression analysis to test the CCAPM, and it is found that the regression residuals follow well‐behaved distributional properties, making valid all statistical inferences, while GMM estimates are highly unstable.

Four unexpected findings are reported. The first is that the regression‐based models are consistent with reasonable values for the CRRA, i.e. estimates that are below 4. The second is that the regression‐based tests are robust, while the GMM‐based tests are not. The third is that regression‐based tests with habit formation depend crucially on the specification of the model. The fourth is that there is evidence that market stock returns are sensitive to both consumption and dividends. The author calls the latter “extra sensitivity of market stock returns”, and it is described as a new puzzle.

The regression‐based models of the CCAPM Euler equation are novel. The comparison between GMM and regression‐based models for the same sample is original. The regression‐based models with habit formation are new. The equity premium puzzle disappears because the estimates of the CRRA are reasonable. But another puzzle is documented, which is the “extra sensitivity of market stock returns” to consumption and dividends together.

This paper aims to examine the effectiveness of monetary policy on bank loans in Egypt using generalized method of moments (GMM) model. Also, it investigates the impact of bank level variables, namely, total assets, liquidity, capital and income on bank loans. It develops the equation of loans, which is introduced by Ehrmann et al. (2002) using bank level variables such as income and the interaction between income and interest rate.

This paper examines the impact of monetary policy shocks on bank loans in Egypt by applying the GMM technique and panel data from 1996 to 2014.

The results reveal that real interest rate has a significant impact on bank loans, which indicates that the bank lending channel is effective in Egypt. Furthermore, the bank level variables, namely, banks’ size, liquidity and income have significant effects on bank loans in Egypt, which sustains the heterogeneous effect of monetary policy on bank loans. Therefore, the Central Bank of Egypt (CBE) can adjust interest rate to influence the bank loans and total demand.

It does not examine the effect of monetary policy on small and large banks in Egypt.

The policy implications from this paper indicate that the monetary authority in Egypt should adjust interest rate to stabilize the bank loan supply. By stabilizing the bank loans, the monetary authority is able to stabilize investment, consumption and total demand.

The relevance of bank lending channel indicates that the role of commercial banks is very important in transmitting monetary policy shocks to the real sector.

It is important for the CBE, banks and people because it shows the effectiveness of bank lending channel and the effect of global financial crisis on the Egyptian economy.

The purpose of this paper is to empirically explore market integration among five selected Association of Southeast Asian Nations (ASEAN) emerging markets (Malaysia, Thailand, Indonesia, the Philippines and Singapore) during the pre‐ and post‐1997 financial crisis periods.

Employs two‐step estimation, cointegration and generalized method of moments (GMM).

The study finds that the stock markets in the ASEAN region are cointegrated both during the pre‐ and post‐1997 financial crisis. However, the markets are moving towards a greater integration, particularly during the post‐1997 financial crisis. Finally, as measured by the error correction terms, except the emerging market of Indonesia, all other ASEAN markets appear to be the important bearers of short‐run adjustment to a shock in the long‐run equilibrium relationships in the region both during the pre‐ and post‐crisis periods.

The study only focuses on stock markets of the five founding members of ASEAN, i.e. Malaysia, Indonesia, Thailand, Singapore and the Philippines.

The paper reveals that unlike during the pre‐crisis period, the long‐run diversification benefits that can be earned by investors across the ASEAN markets in the post‐crisis period tend to diminish.

The study is among the first to use two‐step estimation, cointegration and GMM to re‐examine market integration either in the emerging or developed markets.

The purpose of this paper is to empirically investigate the role of real effective exchange rate (REER) volatility on export volume and also to address the impact of the international financial crisis of 2008.

The empirical methodology is based on System GMM estimation for a set of 106 countries for the period of 2000-2011.

For the complete sample of countries and for a set of developing/emerging economies, there is evidence that an increase (decrease) in REER volatility reduces (increases) export volume. The results are not robust once the oil export countries are removed from the sample. The estimated coefficients for the financial crisis dummy are positive and statistically significant, indicating that export volume were 0.14 percent higher after the financial crisis of 2008 compared to the previous period (2000-2007). There is also evidence that the export volume is price (REER) and income (trade weighted) inelastic.

The empirical results are valid for the complete set of countries and for developing and emerging economies when including the oil export countries, suggesting that countries should reduce exchange rate volatility in order to foster their export volume and that oil export countries have an important role on these results.

The paper suggests that policymakers should adopt different policies to minimize exchange rate volatility if they seek to increase export volume. The international financial crisis had a significant impact on export volume in all estimated models regardless of the set of countries used.

One of the main novelties of this work is that it deals with possible endogeneity using GMM estimators and addresses the issue of instrument proliferation, which is not a common feature of previous empirical studies on exchange rate volatility and trade flows. Another original aspect of the research is the construction of trade weighted variables for foreign income and REER based on the major 20 export partners for each country used in the panel data estimation. The work also incorporates the years following the international financial crisis of 2008, which is an additional empirical novelty, in order to address the impact of the international financial crisis on the export volume.

This paper aims to evaluate the impact of international diversification, through the investment abroad activities of the Malaysian multinational corporations (MNCs), on their financial performance.

The paper applies the panel generalized method of moments (GMM) estimation technique that gives better results.

The empirical findings show that the move to invest abroad has brought a positive impact on Malaysian MNCs’ financial performance. However, in terms of a firm’s risk, the results contradict the general internationalization-risk hypothesis.

The study focuses on the top 100 multinational firms; future researchers may extend the time period and use the entire sample of all the multinational firms.

Foreign investments offer rewarding returns due to cheaper labour and raw materials, competitive edge in terms of technological advancement and larger market opportunities.

The paper contributes to the literature using the panel GMM’s estimation that effectively control for reverse causality and serial correlation problem. The paper also contributes to the international diversification and performance relationship, in a fast-growing Malaysia.

The purpose of this paper is to examine the determinants of capital structure using a dataset of firms in Malaysia.

This paper carries out a panel data analysis of 8,270 observations from 827 listed non-financial firms on the Malaysia stock market over the period 2008–2017. To estimate the model and analyse the data collected from the DataStream and World Bank databases, the authors use static panel estimation techniques as well as two-step difference and system dynamic GMM estimator.

The results show that profitability, growth opportunity, tax-shield, liquidity and cash flow volatility have a negative and significant impact on debt measures. However, the effects of collateral, non-debt tax and earnings volatility on measures of debt are positive and significant. In addition, firm size, firm age, inflation rate and interest rate are important determinants of the present value of debt. The results also show a significant inverse U-shaped relationship between the firm's age and its capital structure. In general, the results support the proposition advocated by the pecking order and trade-off theories.

The results of this study necessitate formulation of various policy measures that can counter the effects of debt on firms.

The present study is among the earliest to use both the book and market value measures of capital structure. It also uses three proxies for each: total debt, long-term debt and short-term debt. It incorporates earning volatility and cash flow volatility as new independent variables in the model. These variables have not previously been used together with both book and market value measures of capital structure. The study also examines the non-monotonic relationship between firm's age and capital structure using a quadratic regression method. It applies both static panel techniques and dynamic GMM estimation techniques to analyse the data.

This study considers the “technology creation” characteristic of technical knowledge-intensive business services (T-KIBS) and examines how human capital and intellectual property rights (IPR) protection affect the location choice of foreign direct investment (FDI) in China for two types of T-KIBS: (1) information transmission, software and information technology (ICT) services and (2) scientific research and technology (SCI) services.

Our empirical analysis is based on panel data on 22 Chinese provinces from 2009 to 2017. We use the generalized method of moments estimation for the regression analysis.

FDI in ICT services prefers regions with high human capital, while FDI in SCI services favors regions with good IPR protection.

Future research could use more comprehensive data and qualitative interviews to enhance the findings.

These findings provide a foundation for China’s future policy on attracting FDI into T-KIBS, especially in areas related to human capital and IPR protection.

This study bridges the research gap on the FDI location choice of T-KIBS in China by clarifying the influences of human capital and IPR protection and providing theoretical support for the location choice of T-KIBS FDI.

The purpose of this paper is to study the impact of large inflow of foreign workers on the Singapore manufacturing productivity using a panel data at the disaggregated industry level from 1998 to 2008. The results indicate that foreign workers do make productive contribution to manufacturing productivity, but it is much lower as compared to local workers. However, the author observe the declining capital-labour ratio with the increase in the flow of foreign workers. This is expected to have direct impact on the competitiveness of the manufacturing in the export market. Since new technologies are embodied in new capital investment, the declining capital-labour ratio indicates that workers might be producing output with less technology-intensive capital. Conversely, local workers are more productive with high capital investment, indicating that local workers are more skilled and hence there is more complementarity between capital investments and local human capital.

The author implement a panel estimation of disaggregated industry level data of Singapore manufacturing from 1998 to 2008. The author use GMM estimation to control for any endogeneity issues in the estimation.

The results indicate that foreign workers do make productive contribution to manufacturing productivity; but it is much lower as compared to local workers. However; the author observe the declining capital-labour ratio with the increase in the flow of foreign workers.

The data for foreign workers at the disaggregated level is not publically available and this is given for this research purpose. The data for foreign workers is limited as it does not have by educational levels.

This is the first paper to study impact of foreign workers on manufacturing sector at a disaggregated panel data. There are important policy implications for managing foreign workers and achieving sustainable growth for the Singapore economy.

The welfare and social impacts of foreign workers on the Singapore economy is discussed. There is also the issue of policy calibration to balance the flow of foreign workers in the Singapore economy.

This is the first paper to study impact of foreign workers on manufacturing sector at a disaggregated panel data.