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Research on strategic choices available to the firm are often modeled as a limited number of possible decision outcomes and leads to a discrete limited dependent variable. A limited dependent variable can also arise when values of a continuous dependent variable are partially or wholly unobserved. This chapter discusses the methodological issues associated with such phenomena and the appropriate statistical methods developed to allow for consistent and efficient estimation of models that involve a limited dependent variable. The chapter also provides a road map for selecting the appropriate statistical technique and it offers guidelines for consistent interpretation and reporting of the statistical results.

This chapter examines the impact of price fluctuations in foreign stock markets on the stock prices of domestic banks in Korea, Malaysia, Singapore, and Thailand. Some studies have argued that the 2007–2009 global financial crisis (GFC) affected domestic banks less in East Asia, even though the supporting evidence is rather limited. Employing a multinomial logit model, we estimate how changes in the United States and Japanese stock markets affected the banking sectors in the sampled countries before the 1997 Asian financial crisis, and before and during the more recent GFC. We interpret the number of banks in a given country that experienced a large price shock on the same day (or “coexceedance”) as shocks to the domestic banking sector. The results suggest that fluctuations in foreign stock market indices exerted a larger impact on the prices of East Asian banking stocks during the 2000s than during the 1990s. In addition, although the shocks brought about by the deterioration of foreign stock markets were significant before the GFC, both increases and decreases in foreign stock prices significantly affected the banking sectors of the respective countries during the crisis. Lastly, we conclude that increasing foreign capital flows and foreign assets and liabilities greatly influenced domestic banking systems in East Asia during the 2000s.

The purpose of this paper is to analyse the export behaviour of manufacturing firms located in the Middle East and North Africa (MENA) region using data from the World Bank's Enterprise Surveys Database.

This paper examines the factors influencing the export behaviour of manufacturing firms located in the MENA region through a probit model for export decision and through a fractional logit model for export intensity.

The empirical results show significant positive effects of private foreign ownership, information and communication technology, and firm size on the probability of exporting and on export intensity of MENA manufacturing firms. Government ownership tends to exert negative effects on firms’ propensity to export. The results underscore enhancing effects of national economic development levels on firms’ export performance. Also, they indicate that firms’ propensity to export decreases with larger domestic market size. The empirical analysis reveals considerable heterogeneity in the implications of firm characteristics for firms’ export behaviour through firm size categories and across MENA countries.

This paper contributes to the literature by conducting overall and comparative cross-country empirical analyses of the factors influencing the export behaviour of manufacturing firms located in the MENA region. It also explores the specificities of small and large firms’ responses to the factors influencing firms’ export behaviour. The results have implications for policies intended to enhance industrial growth and international competitiveness of the manufacturing sector in the MENA region.

As a field, we should put more emphasis on interpreting the magnitude of coefficient estimates rather than only assessing statistical significance. To support this claim, I demonstrate how focusing only on statistical significance can lead to incorrect and incomplete conclusions in many common applications of the linear regression model. Moreover, I demonstrate why interpreting coefficient estimates in common non-linear estimators (e.g., probit, logit, Poisson, and negative binomial estimators) requires additional care compared to the linear regression model.

Small businesses file taxes in accordance with the personal income tax code because they are considered flow-through entities. Thus, personal income tax reforms directly affect the incentives small business owners face regarding employment and operations. The paper aims to discuss these issues.

The authors use the changes in personal income tax rates during the 1993 and 2001-2003 reforms and micro-level data to estimate the effect of statutory tax rate changes on small business employment decisions.

The authors add two contributions to the current literature: first, the author allow for intertemporal tax planning and second, the author allow the firm’s decision to employ labor to be correlated with the firm’s wage bill decision. Estimation of a Heckman selection model for wage bills shows that the probability that a business will employ labor is 1.18 percent higher when current tax rates increase by one percentage point and 0.70 percent lower when future rates are expected to increase by one percentage point. Among firms that already employ labor, the median wage bill elasticity with respect to current tax rates is −0.64. These estimates are larger than those reported in previous research because my model includes future taxes and allows for correlation between the firm’s employment and wage bill decisions. Omitting the intertemporal tax responses biases the estimates of previous researchers upwards, whereas assuming the two firm decisions are independent biases estimates towards zero.

This paper has been cited in publications published in Journal of Entrepreneurship and Public Policy.

This paper investigates the magnitude of financial inclusion in terms of ownership and usage of financial products across gender in Saudi Arabia based on the World Bank's Global Financial Inclusion (GFI) survey data.

This study derives the data from the GFI survey, covering 1,009 respondents from Saudi Arabia. The data on ownership and usage of financial products along with demographic characteristics of the surveyed respondents have been extracted for the analysis. The data have been analyzed with the help of statistical techniques, such as the chi-square test, and marginal effects for identifying the factors affecting financial inclusion across gender.

There is a significant association between financial inclusion and gender in terms of ownership and usage. About 82% of males have reported having a bank account with financial institutions, whereas only 60% females have reported ownership of a bank account in Saudi Arabia. The ownership and usage of financial products are comparatively more among males than females. The analysis of the marginal effect of gender shows a significant and positive impact on financial inclusion, implying that males are 10 and 13% more likely to own and use financial products, respectively, as compared to females. Further, marginal effect estimates for ownership and usage for males and females indicate that a set of independent variables related to age, level of education, occupation and income level of the respondents have a significant impact on financial inclusion.

Financial inclusion across gender is the first step of creating an inclusive society and empowering both males and females equally. Findings indicated an inclination of financial inclusion towards males. The research findings provide key policy insights for achieving the Vision 2030 of Saudi Arabia by strengthening gender inclusion in its growth story and ensuring the participation of females at workplaces.

Most of the studies have included bank account ownership in a financial institution as an indicator of financial inclusion. The authors have included ownership and usage of a variety of financial products for assessing the determinants of financial inclusion across gender, which provides empirical evidence on the magnitude of financial inclusion.

The purpose of this paper is to decompose income inequality across various household income components and to estimate the marginal effects of changes in each of the income components on overall income inequality in Ghana.

Data were collected from the fifth and sixth rounds of the Ghana Living Standards Surveys. Gini coefficient was estimated and decomposed across structured income components. The marginal effects were obtained by computing the partial derivatives of the Gini coefficient with respect to a percentage change in a particular income source.

The results suggest that, in general, income inequality has increased marginally over the years (Gini coefficient of 0.66 in 2013 and 0.62 in 2006). Inequality was, however, higher in urban areas than in rural areas in 2013 with the reverse observed in 2006. The income component decomposition analysis suggests that wage employment income dominated household income in both rural and urban areas, even though the magnitude was higher in urban areas. Farm income was only dominant in rural communities in 2006. Self-employment and remittance income had consistent inequality reducing effects on total household income distribution.

The study goes beyond inequality studies in Ghana to estimate the marginal effect of income components on inequality. Such decomposition will allow for effective policy targeting in a resource-constrained developing country like Ghana.

The purpose of this paper is to investigate the housing improvement expenditure as a consumption smoothing strategy for Japanese households.

Tobit estimation method is used to empirically investigate the role of home improvement expenditure in smoothing consumption for households in Japan using data from Japan Housing Demand Survey for 2003.

Findings suggest that: households in Japan use home improvement expenditure to adjust fluctuation in income. Income-constrained elderly households reduce their housing consumption by not improving their homes ceteris paribus in order to maintain their consumption levels. The mortgage repayment burden also plays an important role in home improvement expenditure decisions.

An implication of the analysis is that households who do not own houses may require policy intervention to maintain their welfare. Policies such as subsidies for renters in Japan need to be devised which will provide renters opportunities to smooth consumption. Further, reduction in home improvement expenditure leads to deterioration of quality of housing stock if economic downturn persists longer. This suggests that policies such as tax reduction, tax allowance or tax credit to bolster home improvement behaviour are needed during economic downturn to sustain quality of housing stock.

The paper contributes to the limited literature on the role of home improvement expenditure as a consumption smoothing instrument for households. Those who do not own houses are constrained in maintaining their welfare during downturn. Findings are important for policy makers and paper makes some suggestions in this regard.

This chapter enquires whether family migration experience affects the probability of high school graduation of children once unobserved heterogeneity is properly accounted for. Bivariate dynamic random effects probit models for cluster data are estimated to control for the potential endogeneity of education and migration outcomes of elder members of a family in a regression for the education and migration of younger children. Correlation of unobservables across migration and education decisions as well as within groups of individuals such as the family are explicitly modeled. Results show that children from households headed by a migrant are less likely to graduate from high school than children from households headed by a non-migrant. However, as the number of migrants in the family increase, a larger number of migrants in the family is associated with a higher probability of graduation from high school in México. Negative migrant selection in unobservables is detected.