A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
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- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
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Results 387 resources
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"Does increasing women's schooling raise the schooling of the next generation?" is the question posed by Jere R. Behrman and Mark R. Rosenzweig (2002). Their answer to the question is no. In fact, they conclude that raising women's schooling may lower the schooling of the next generation. We show that Behrman and Rosenzweig's results are not robust to alternative coding schemes and sample selection rules, and argue that their policy inference may be misguided.
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People may be surprised to notice certain regularities that hold in existing knowledge they have had for some time. That is, they may learn without getting new factual information. We argue that this can be partly explained by computational complexity. We show that, given a knowledge base, finding a small set of variables that obtain a certain value of R2 is computationally hard, in the sense that this term is used in computer science. We discuss some of the implications of this result and of fact-free learning in general.
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Recent bank failures are followed by significant and permanent negative declines in real county income. These declines are larger for small failures than for large failures per dollar of assets, are larger for bank failures than thrift failures, and are larger for bank closures than assisted mergers. More interestingly, the failure of even healthy banks has significant and permanent negative effects on economic activity.
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We reassess the empirical robustness of the empirical findings in Jere R. Berhman and Mark R. Rosenzweig (2002) using new information on schooling which was collected and coded independently of codings carried out by both Kate Antonovics and Arthur Goldberger, and Berhmamn and Rosenzweig. We conclude that the independently coded data and the codings by Antonovics and Goldberger provide additional support for Behrman and Rosenzweig's original results showing that the positive cross-sectional relationship between a mother's schooling and her child's schooling is not robust to controls for unmeasured, intergenerationally correlated endowments, while the positive effect of paternal schooling is robust.
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Advancing annuity demand theory, we present sufficient conditions for the optimality of full annuitization under market completeness which are substantially less restrictive than those used by Menahem E. Yaari (1965). We examine demand with market incompleteness, finding that positive annuitization remains optimal widely, but complete annuitization does not. How uninsured medical expenses affect demand for illiquid annuities depends critically on the timing of the risk. A new set of calculations with optimal consumption trajectories very different from available annuity income streams still shows a preference for considerable annuitization, suggesting that limited annuity purchases are plausibly due to psychological or behavioral biases.
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We provide a unified theory of the transition in income, life expectancy, education, and population size from a nondeveloped environment to sustained growth. Individuals optimally trade off the time cost of education with its lifetime returns. Initially, low longevity implies a prohibitive cost for human capital formation for most individuals. A positive feedback loop between human capital and increasing longevity, triggered by endogenous skill-biased technological progress, eventually provides sufficient returns for widespread education. The transition is not based on scale effects and induces population growth despite unchanged fertility. A simulation illustrates that the dynamics fit historical data patterns.
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We study herd behavior in a laboratory financial market. Subjects receive private information on the fundamental value of an asset and trade it in sequence with a market maker. The market maker updates the asset price according to the history of trades. Theory predicts that agents should never herd. Our experimental results are in line with this prediction. Nevertheless, we observe a phenomenon not accounted for by the theory. In some cases, subjects decide not to use their private information and choose not to trade. In other cases, they ignore their private information to trade against the market (contrarian behavior).
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This paper examines hospital responses to changes in diagnosis-specific prices by exploiting a 1988 policy reform that generated large price changes for 43 percent of Medicare admissions. I find hospitals responded primarily by "upcoding" patients to diagnosis codes with the largest price increases. This response was particularly strong among for-profit hospitals. I find little evidence hospitals increased the volume of admissions differentially for diagnoses subject to the largest price increases, despite the financial incentive to do so. Neither did they increase intensity or quality of care in these diagnoses, suggesting hospitals do not compete for patients at the diagnosis level.
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While there is an extensive literature on the theory of infinitely repeated games, empirical evidence on how "the shadow of the future" affects behavior is scarce and inconclusive. I simulate infinitely repeated prisoner's dilemma games in the lab with a random continuation rule. The experimental design represents an improvement over the existing literature by including sessions with finite repeated games as controls and a large number of players per session (which allows for learning without contagion effects). I find that the shadow of the future matters not only by significantly reducing opportunistic behavior, but also because its impact closely follows theoretical predictions.
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We develop a positive theory of the adoption of child labor laws. Workers who compete with children in the labor market support a child labor ban, unless their own working children provide a large fraction of family income. Fertility decisions lock agents into specific political preferences, and multiple steady states can arise. The introduction of child labor laws can be triggered by skill-biased technological change, which induces parents to choose smaller families. The theory can account for the observation that, in Britain, regulations were first introduced after a period of rising wage inequality, and coincided with rapid fertility decline.
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- Journal Article (387)