Knowledge that Transforms

Goldin and Katz's The Race between Education and Technology is a monumental achievement that supplies a unified framework for interpreting how the demand and supply of human capital have shaped the distribution of earnings in the U.S. labor market over the twentieth century. This essay reviews the theoretical and conceptual underpinnings of this work and documents the success of Goldin and Katz's framework in accounting for numerous broad labor market trends. The essay also considers areas where the framework falls short in explaining several key labor market puzzles of recent decades and argues that these shortcomings can potentially be overcome by relaxing the implicit equivalence drawn between workers' skills and their job tasks in the conceptual framework on which Goldin and Katz build. The essay argues that allowing for a richer set of interactions between skills and technologies in accomplishing job tasks both augments and refines the predictions of Goldin and Katz's approach and suggests an even more important role for human capital in economic growth than indicated by their analysis.

We review theories of race discrimination in the labor market. Taste-based models can generate wage and unemployment duration differentials when combined with either random or directed search even when strong prejudice is not widespread, but no existing model explains the unemployment rate differential. Models of statistical discrimination based on differential observability of productivity across races can explain the pattern and magnitudes of wage differentials but do not address employment and unemployment. At their current state of development, models of statistical discrimination based on rational stereotypes have little empirical content. It is plausible that models combining elements of the search models with statistical discrimination could fit the data. We suggest possible avenues to be pursued and comment briefly on the implication of existing theory for public policy.

Explicit economic incentives designed to increase contributions to public goods and to promote other pro-social behavior sometimes are counterproductive or less effective than would be predicted among entirely self-interested individuals. This may occur when incentives adversely affect individuals' altruism, ethical norms, intrinsic motives to serve the public, and other social preferences. The opposite also occurs—crowding in —though it appears less commonly. In the fifty experiments that we survey, these effects are common, so that incentives and social preferences may be either substitutes (crowding out) or complements (crowding in). We provide evidence for four mechanisms that may account for these incentive effects on preferences: namely that incentives may (i) provide information about the person who implemented the incentive, (ii) frame the decision situation so as to suggest appropriate behavior, (iii) compromise a control averse individual's sense of autonomy, and (iv) affect the process by which people learn new preferences. An implication is that the evaluation of public policy must be restricted to allocations that are supportable as Nash equilibria when account is taken of these crowding effects. We show that well designed fines, subsidies, and the like minimize crowding out and may even do the opposite, making incentives and social preferences complements rather than substitutes.

This paper reviews four decades of economics research on the brain drain, with a focus on recent contributions and on development issues. We first assess the magnitude, intensity, and determinants of the brain drain, showing that brain drain (or high-skill) migration is becoming a dominant pattern of international migration and a major aspect of globalization. We then use a stylized growth model to analyze the various channels through which a brain drain affects the sending countries and review the evidence on these channels. The recent empirical literature shows that high-skill emigration need not deplete a country's human capital stock and can generate positive network externalities. Three case studies are also considered: the African medical brain drain, the exodus of European scientists to the United States, and the role of the Indian diaspora in the development of India's information technology sector. We conclude with a discussion of the implications of the analysis for education, immigration, and international taxation policies in a global context.

This paper synthesizes the expanding corporate social responsibility (CSR) literature. We define CSR from an economic perspective and develop a CSR taxonomy that connects disparate approaches to the subject. We explore whether CSR should exist and investigate conditions when CSR may produce higher welfare than other public good provision channels. We also explore why CSR does exist. Here, we integrate theoretical predictions with empirical findings from economic and noneconomic sources. We find limited systematic empirical evidence in favor of CSR mechanisms related to induced innovation, moral hazard, shareholder preferences, or labor markets. In contrast, we uncover consistent empirical evidence in favor of CSR mechanisms related to consumer markets, private politics, and public politics.

This paper critically surveys the large and growing literature estimating the elasticity of taxable income with respect to marginal tax rates using tax return data. First, we provide a theoretical framework showing under what assumptions this elasticity can be used as a sufficient statistic for efficiency and optimal tax analysis. We discuss what other parameters should be estimated when the elasticity is not a sufficient statistic. Second, we discuss conceptually the key issues that arise in the empirical estimation of the elasticity of taxable income using the example of the 1993 top individual income tax rate increase in the United States to illustrate those issues. Third, we provide a critical discussion of selected empirical analyses of the elasticity of taxable income in light of the theoretical and empirical framework we laid out. Finally, we discuss avenues for future research.

Women empowerment and economic development are closely related: in one direction, development alone can play a major role in driving down inequality between men and women; in the other direction, empowering women may benefit development. Does this imply that pushing just one of these two levers would set a virtuous circle in motion? This paper reviews the literature on both sides of the empowerment—development nexus, and argues that the interrelationships are probably too weak to be self-sustaining, and that continuous policy commitment to equality for its own sake may be needed to bring about equality between men and women.

This paper describes how we constructed a real-time database for the euro area. The database covers more than 200 series regularly published in the European Central Bank Monthly Bulletin, as made available to the Governing Council members for their first monthly meeting. We study the properties of the real-time data flow and data revisions in the euro area, also providing comparisons with the United States and Japan. We illustrate how revisions contribute to the uncertainty surrounding key macroeconomic ratios and the non-accelerating inflation rate of unemployment.

This paper uses a unique panel data set of an insurer's transactions with repeat customers. Consistent with the asymmetric learning hypothesis that repeated contracting enables sellers to obtain an informational advantage over their rivals, I find that the insurer makes higher profits in transactions with repeat customers who have a good claims history with the insurer, the insurer reduces the price charged to these repeat customers by less than the reduction in expected costs associated with such customers, and repeat customers with bad claim histories are more likely to flee their record by switching to other insurers.

A key input to inventive activity is human capital. Hence, it is important to understand the monetary incentives of inventors. We estimate the effect of patented inventions on individual earnings by linking data on U.S. patents and their inventors to Finnish employer-employee data. Returns are heterogeneous: inventors get a temporary reward of 3% of annual earnings for a patent grant and for highly cited patents a longer-lasting premium of 30% in earnings three years later. Similar medium-term premium's accrue to inventors who initially hold the patent rights, although they forgo earnings at the time of the grant.