What Holds Back the Second Generation? The Intergenerational Transmission of Language Human Capital Among Immigrants

In 2000 Census microdata, various outcomes of second-generation immigrants are related to their parents' age at arrival to the United States, and in particular whether that age fell within the "critical period" of language acquisition. We interpret this as an effect of the parent's English-language skills and construct an instrumental variable for parental English proficiency. Estimates of the effect of parent's English-speaking proficiency using two-stage least squares yield significant, positive results for children's English-speaking proficiency and preschool attendance, and significant, negative results for dropping out of high school and being below age-appropriate grade. (JEL J13, J24, J62).     

Maturity mismatch and financial crises: Evidence from emerging market corporations

Substantial attention has been paid in recent years to the risk of maturity mismatch in emerging markets. Although this risk is microeconomic in nature, the evidence advanced thus far has taken the form of macro correlations. We evaluate this mechanism empirically at the micro level by using a database of over 3000 publicly listed firms from fifteen emerging markets. We measure the risk of maturity mismatch by estimating, at the firm level, the effect on investment of the interaction of short-term exposure and aggregate capital flight. This effect is (statistically) zero, contrary to the prediction of the maturity-mismatch hypothesis. This conclusion is robust to using a variety of different estimators, alternative measures of capital flows, and controls for devaluation effects and access to international capital. We do find evidence that short-term-exposed firms pay higher financing costs, and have lower equity valuations, but not that this reduction in net worth translates into a drop in investment or sales.     

Evaluating and tracking qualitative content coder performance using item response theory

Content analysis of traditional and social media has a central role in investigating features of media content, measuring media exposure, and calculation of media effects. The reliability of content coding is usually evaluated using “kappa-centric” agreement measures, but these measures produce results that aggregate individual coder decisions which obscure the performance of individual coders. Using a data set of 105 advertisements for sports and energy drinks media content coded by five coders, we demonstrate that Item Response Theory can track coder performance over time and give coder-specific information on the consistency of decisions over qualitatively coded objects. We conclude that IRT should be added to content analysts’ tool kit of useful methodologies to track and evaluate content coders’ performance.