Publication selection bias in minimum-wage research? A meta-regression analysis

Card and Krueger's meta-analysis of the employment effects of minimum wages challenged existing theory. Unfortunately, their meta-analysis confused publication selection with the absence of a genuine empirical effect. We apply recently developed meta-analysis methods to 64 US minimum-wage studies and corroborate that Card and Krueger's findings were nevertheless correct. The minimum-wage effects literature is contaminated by publication selection bias, which we estimate to be slightly larger than the average reported minimum-wage effect. Once this publication selection is corrected, little or no evidence of a negative association between minimum wages and employment remains.

Cadaveric vs. live-donor kidney transplants : theoretical foundations of interaction between institutions and inequality

In 1991, the World Health Assembly approved a set of Guiding Principles which emphasize voluntary donation, non-commercialization and a preference for cadavers over living donors” (World Health Organization). The objective of this paper is to identify the factors that affect the ratio of cadaveric transplants to all transplants. This paper first provides informational background on problems surrounding kidney transplants and then uses a theoretical framework which employs standard economic assumptions but incorporates a setup where the persons needing kidneys can obtain it from their compatible relatives or purchase it from individuals who are willing to sell one of their kidneys. The methods of economic theoretical analyses are used where following definitions and assumptions some conclusions are drawn. This paper finds that factors such as inequality, rule of law and religion have significant effect on the ratio of cadaveric transplants to all transplants. The paper concludes that improvement in equality and in rule of law will increase the use of cadaveric kidney transplants. In addition, fighting religious beliefs against cadaveric kidney transplants too will lead to a higher ratio of cadaveric transplants to all transplants.

Trade liberalization and income inequality : a theoretical analysis

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Do institutions, inequality and cultural differences affect cadaveric versus live-kidney harvesting

This paper empirically investigates the role of institutions, income inequality,  cultural differences and health expenditures on cadaveric versus total kidney  transplants scrutinizing information gathered from 63 countries over the period  1998-2002. We show that improvements in income equality and the rule of law encourage cadaveric kidney transplants in low-income countries. We find that cultural differences affect the number of cadaveric kidney transplants both in low- and high-income countries.

Does gender inequality reduce growth in sub-Saharan African and Arab countries?

This paper uses 1974 to 2001 panel data for 31 sub-Saharan African and 10 Arab countries and Arellano–Bond estimations to empirically assess the impact on growth of an important indicator associated with MDG 3; namely the ratio of 15–24-year-old literate females to males. Our findings indicate that gender inequalities in literacy have a statistically significant negative effect that is robust to changes in the specification. In addition, it seems that gender inequality has a stronger effect on growth in Arab countries. Interestingly, we find that the interaction between openness to trade and gender inequality has a positive impact. This result suggests that trade-induced growth may be accompanied by greater gender inequalities.

Global inequality in well-being dimensions

This paper contributes to the literature on global inequality in multidimensional well-being by examining inter-country disparities in the longevity, knowledge and standard of material living components of the well-known and widely-used Human Development Index for the years 1992-2004. It differs from previous studies by examining global inequality in each of the components of this index alongside that of the index as a whole, thus side-stepping ambiguities over weighting that are inherent to multidimensional well-being indices. The Gini coefficient, both population and non-population weighted, is used to measure the extent of inequality. Results indicate that the different components often provide very different information to the index as a whole, especially with respect to changes in global inequality over time. Most component variables show declines in global inequality, whereas the longevity component exhibits increased inequality since 1992.