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This chapter uses a college-by-graduate degree fixed effects estimator to evaluate the returns to 19 different graduate degrees for men and women. We find substantial variation across degrees, and evidence that OLS overestimates the returns to degrees with the highest average earnings and underestimates the returns to degrees with the lowest average earnings. Second, we decompose the impacts on earnings into effects on wage rates and effects on hours. For most degrees, the earnings gains come from increased wage rates, though hours play an important role in some degrees, such as medicine, especially for women. Third, we estimate the net present value and internal rate of return for each degree, which account for the time and monetary costs of degrees. Finally, we provide descriptive evidence that satisfaction gains are large for some degrees with smaller economic returns, such as education and humanities degrees, especially for men.

We study the statistical properties of Pearson correlation coefficients of Gaussian ranks, and Gaussian rank regressions – ordinary least-squares (OLS) models applied to those ranks. We show that these procedures are fully efficient when the true copula is Gaussian and the margins are non-parametrically estimated, and remain consistent for their population analogs otherwise. We compare them to Spearman and Pearson correlations and their regression counterparts theoretically and in extensive Monte Carlo simulations. Empirical applications to migration and growth across US states, the augmented Solow growth model and momentum and reversal effects in individual stock returns confirm that Gaussian rank procedures are insensitive to outliers.

Building upon the framework of the tradeoff model of capital structure and motivated by the equity market timing theory, we examine whether equity misvaluation is a source of adjustment “costs” that will affect a firm’s leverage adjustment speed toward target. We also investigate whether the quality of a firm’s long-term growth options will influence the decisions of managers to exploit the mispriced equity to converge to the optimum. Using a sample of listed Taiwanese firms during 1992–2014 and employing the market-to-book decomposition as developed by Rhodes-Kropf, Robinson, and Viswanathan (2005), we find that overleveraged and overvalued firms demonstrate faster adjustment speed than overleveraged but undervalued firms. Furthermore, controlling for the misvaluation status, high-growth firms converge to target faster than their low-growth counterparts. The effect of growth options on the relation between equity mispricing and adjustment speed does not mirror the effect of financing deficits. With the detailed financial information of the local companies across a rather long time series, this study provides incremental inputs to the literature of capital structure from the determinants of target leverage, the estimation of leverage adjustment speeds, to the identification of the sources of adjustment costs in an emerging market where institutional environment is strikingly different from the US.

In this paper we apply the Gini adjustment procedure developed by Bishop, Formby, and Smith (1997) to investigate the effects of demographic factors on earnings inequality in Taiwan. We advance their method using quantile regression to control for demographic factors between 1978 and 1999 based on the subsample of workers conducted by the DGBAS. It is found that the marginal impact effects of female on earnings inequality are larger than the effects of years of schooling and experience. Hence, gender gap has the most significant impact on earnings inequality in Taiwan. Finally, the policy implications from our study are that controlling for gender gap could reduce earnings inequality. In particular, adoption of an affirmative action policy for women may successfully reduce the overall level of earnings inequality in Taiwan.

We study how giving depends on income and luck, and how culture and information about the determinants of others’ income affect this relationship. Our data come from an experiment conducted in two countries, the USA and Spain – each of which have different beliefs about how income inequality arises. We find that when individuals are informed about the determinants of income, there are no cross-cultural differences in giving. When uninformed, however, Americans give less than the Spanish. This difference persists even after controlling for beliefs, personal characteristics, and values.

This chapter discusses and investigates the sustainability reporting across different sectors. The first section discusses and investigates the relationship between sustainability reporting and primary sector's performance (Agriculture and Food Industries Sector and Energy Sector). The second section discusses and investigates the relationship between sustainability reporting and secondary sector's performance (Manufacturing Sector). The final section discusses and investigates the relationship between sustainability reporting and tertiary sector's performance (Banks and Financial Services Sector, Retail Sector, Telecommunication and Information Technology Sector, and Tourism Sector).

Economists and sociologists have proposed arguments for why there can exist wage penalties for work involving helping and caring for others, penalties borne disproportionately by women. Evidence on wage penalties is neither abundant nor compelling. We examine wage differentials associated with caring jobs using multiple years of Current Population Survey (CPS) earnings files matched to O*NET job descriptors that provide continuous measures of “assisting & caring” and “concern” for others across all occupations. This approach differs from prior studies that assume occupations either do or do not require a high level of caring. Cross-section and longitudinal analyses are used to examine wage differences associated with the level of caring, conditioned on worker, location, and job attributes. Wage level estimates suggest substantive caring penalties, particularly among men. Longitudinal estimates based on wage changes among job switchers indicate smaller wage penalties, our preferred estimate being a 2% wage penalty resulting from a one standard deviation increase in our caring index. We find little difference in caring wage gaps across the earnings distribution. Measuring mean levels of caring across the U.S. labor market over nearly thirty years, we find a steady upward trend, but overall changes are small and there is no evidence of convergence between women and men.

This chapter examines the effects that airports have had on economic development in cities from 1950 to 2010. It uses a novel dataset consisting of previously unexploited data on the origins and history of the aviation system in the United States. Applying the method of synthetic controls to a set of medium and small airports, I examine both the overall impacts and the heterogeneity within the outcomes of various airports. Then, I use regression analysis to determine key factors differentiating successful airports from less successful ones, as it pertains particularly to population and employment growth. I find that, first, on average, cities have benefited from airports over this period. Airports, overall, provided a causal contribution of 0.2– 0.6% per year on population and employment growth over the time period. Second, I show that city-level factors contributing to airport success include: (1) closer proximity to a major research university, (2) a capital city location, and (3) climate factors, particularly higher January mean temperatures and/or hours of sunshine. City size is a consideration as well; cities in larger metropolitan areas, with larger shares of employment in nontradables in the 1950s, were also better positioned to reap the benefits that airports provided on city growth. Significant differences were not found across regions, airport governance structures, or other factors.

In this paper, we explore an extensive panel data set covering more than 4,000 listed firms in 16 European countries to study the effects of shareholder protection on ownership structure and firm performance. We document a negative firm-level correlation between shareholder protection and ownership concentration. Differentiating between shareholder types, we find that this pattern is mainly driven by strategic investors. In contrast, we find a positive correlation between shareholder protection and block ownership of institutional investors, in particular when we restrict the analysis to independent institutional investors. Finally, we find that independent institutional investors are positively associated with firm valuation as measured by Tobin’s Q. The opposite applies for strategic investors. Overall, our results are consistent with the view that (i) high shareholder protection and (ii) limited ownership by strategic investors make small investors and investors interested in security returns more confident in their investments.

Aim: This chapter aims to examine the connection between government policies and entrepreneurial dimensions present in 13 European Union member countries, over the period 2002–2019. As long as the policies represent a set of decisions and actions issued by state-run structures, bodies with political, legislative, and financial authority to act to deal with a matter of public interest, this study overviews how intervention channels and policy instruments act upon supporting entrepreneurship.

Method: The methodology employed consists of correlations, principal component analysis (PCA), and regression models, in order to emphasise the statistically significant relationships between governance indicators and several entrepreneurial dimensions (financing for entrepreneurs, taxes and bureaucracy, basic school entrepreneurial education and training), and also the robustness of the results.

Results and Discussion: After observing the correlations evidencing strong relationships between the governance indicators, the results from PCA returned two main components for the Worldwide Governance Indicators: one incorporates the direct effect of control of corruption, government effectiveness, voice and accountability, regulatory quality, and rule of law, while the second component is based on political stability and absence of violence/terrorism factor. Results proved that governance has a significant impact on the financing available for entrepreneurs, especially from the first principal component, while taxes and regulations applied to new businesses have more impact in supporting entrepreneurship in countries with lower political stability levels. The consistent regression results emphasised that entrepreneurs feel more support from an institutional environment and more financing opportunities in an economy characterised by good governance, and taxes and regulations applied to new businesses have more impact in supporting entrepreneurship in countries with lower political stability levels.

Originality/Value: This study contributes to the literature studying the role of government policies on economic growth, by bringing more insights on the governance aspects and policies which are more favourable to productive entrepreneurship.