The types of knowledge, skills, and proficiencies that should be imparted to students in graduate economics programs are a matter of long-standing controversy. A 1953 American Economic Association (AEA) report cataloged major shortcomings in graduate economic education and recommended changes to enhance the quality and effectiveness of economics Ph.D. programs (Howard R. Bowen, 1953). By the 1980’s, the perception grew that economics Ph.D. programs devoted excessive attention to theoretical work at the expense of real-world application (Wassily Leontief, 1982). This development triggered David Colander and Arjo Klamer (1987) to conduct an independent study based on interviews with graduate students at elite Ph.D. programs. Their study reinforced the views of many, including leaders in the AEA, the National Science Foundation, and several private foundations, that something was amiss. In 1988, the AEA established the Commission on Graduate Education in Economics (COGEE) to undertake a thorough study of graduate training. The Commission’s major concern, based on extensive surveys and interviews of graduate students, faculty, and employers, was that graduate education in economics had removed itself from real-world economic problems (Anne O. Krueger et al., 1991). The COGEE study is distinguished by its attempt to determine the emphasis given to cultivating a set of economic proficiencies in graduate school and the importance of an array of skills for success in graduate school and later on the job (Hansen, 1991). The proficiencies included in the COGEE study were: providing rigorous training in economic theory, providing training in econometrics and measurement, applying theory to real-world problems, using economic theory in empirical applications, and conducting independent economic research. For this study, we added three proficiencies to the COGEE list: understanding economic institutions and history and understanding the history of economic ideas, to capture concerns about curriculum changes that eliminated or scaled back training in these two fields, and developing teaching skills, to reflect recent emphasis on improving the quality of instruction (William E. Becker, 2003). The skills included in the COGEE study were: critical judgment (analyzing ideas, reviewing literature, formulating pertinent comments), analytics (understanding and solving problems, making and analyzing logical arguments), application (seeing practical implications of abstract ideas, analyzing real-world policies and processes), mathematics (constructing and analyzing proofs, manipulating mathematical abstractions), computation (effectively and quickly finding and manipulating relevant data, estimating economic relationships using statistical software), communication (speaking and writing effectively, quickly understanding spoken and written ideas of others, explaining ideas clearly), and creativity (conceiving interesting questions, finding new means of analysis). We added instruction (being an effective classroom teacher) to the skills list for the same reason mentioned above.

We demonstrate the asymptotic equivalence between commonly used test statistics for out-of-sample forecasting performance and conventional Wald statistics. This equivalence greatly simplifies the computational burden of calculating recursive out-of-sample test statistics and their critical values. For the case with nested models, we show that the limit distribution, which has previously been expressed through stochastic integrals, has a simple representation in terms of -distributed random variables and we derive its density. We also generalize the limit theory to cover local alternatives and characterize the power properties of the test.

Geophysicists examine and document the repercussions for the earth’s climate induced by alternative emission scenarios and model specifications. Using simplified approximations, they produce tractable characterizations of the associated uncertainty. Meanwhile, economists write highly stylized damage functions to speculate about how climate change alters macroeconomic and growth opportunities. How can we assess both climate and emissions impacts, as well as uncertainty in the broadest sense, in social decision-making? We provide a framework for answering this question by embracing recent decision theory and tools from asset pricing, and we apply this structure with its interacting components to a revealing quantitative illustration.

“… I suppose there exists an extremely powerful, and, if I may so speak, malignant being, whose whole endeavours are directed toward deceiving me.” Rene Descartes, Meditations, II.1

This paper proposes a procedure for assessing the sensitivity of inferential conclusions for functionals of sparse high-dimensional models following model selection. The proposed procedure is called targeted undersmoothing. Functionals considered include dense functionals that may depend on many or all elements of the high-dimensional parameter vector. The sensitivity analysis is based on systematic enlargements of an initially selected model. By varying the enlargements, one can conduct sensitivity analysis about the strength of empirical conclusions to model selection mistakes. We illustrate the procedure's performance through simulation experiments and two empirical examples.

This paper studies the performance and persistence of Norwegian mutual funds utilizing a new data set of daily returns. Daily data allow us to evaluate the performance over short time horizons in a reliable manner, which is important because the risk exposure of funds can change over time. We complement the existing literature by providing the first study based on daily data outside of the US. Our results show that the performance of top and bottom funds cannot be explained by luck. The performance of these top and bottom funds persists for short horizons, of only up to one year. The mutual fund industry as a whole underperforms the benchmark by approximately the fund fees.

We develop a new approach for the identification of Pareto‐improving tax reforms. This approach yields necessary and sufficient conditions for the existence of Pareto‐improving reform directions. A main insight is that “Two brackets are enough”: When the system cannot be improved by altering tax rates in one or two income brackets, then there is no continuous reform direction that is Pareto‐improving. We also show how to check whether a given tax reform is Pareto‐improving. We use these tools to study the introduction of the Earned Income Tax Credit (EITC) in the United States in 1975. A robust finding is that, prior to the EITC, the U.S. tax‐transfer system was not Pareto‐efficient. Under plausible assumptions about behavioral responses, the 1975 reform was not Pareto‐improving. Qualitatively, though, it had the right properties: A similar reform with earnings subsidies made available to a broader range of incomes would have been Pareto‐improving.

We use decision theory to confront uncertainty that is sufficiently broad to incorporate “models as approximations.” We presume the existence of a featured collection of what we call “structured models” that have explicit substantive motivations. The decision-maker confronts uncertainty through the lens of these models, but also views these models as simplifications, and hence, as misspecified. We extend the max–min analysis under model ambiguity to incorporate the uncertainty induced by acknowledging that the models used in decision making are simplified approximations. Formally, we provide an axiomatic rationale for a decision criterion that incorporates model misspecification concerns. We then extend our analysis beyond the max-min case allowing for a more general criterion that encompasses a Bayesian formulation.

Tropical deforestation accounts for almost one-fifth of greenhouse gas emissions and threatens the world’s most diverse ecosystems. Much of this deforestation is driven by illegal logging. We use novel satellite data that tracks annual deforestation across eight years of Indonesian institutional change to examine how local officials’ incentives affect deforestation. Increases in the number of political jurisdictions lead to increased deforestation and lower timber prices, consistent with Cournot competition between jurisdictions. Illegal logging and local oil and gas rents are short-run substitutes, but this effect disappears over time with political turnover. The results illustrate how local officials’ incentives affect deforestation and show how standard economic theories can explain illegal behavior.