Knowledge that Transforms

Invariably, across a cross-section of countries and time periods, wealth distributions are skewed to the right displaying thick upper tails, that is, large and slowly declining top wealth shares. In this survey, we categorize the theoretical studies on the distribution of wealth in terms of the underlying economic mechanisms generating skewness and thick tails. Further, we show how these mechanisms can be micro-founded by the consumption–savings decisions of rational agents in specific economic and demographic environments. Finally we map the large empirical work on the wealth distribution to its theoretical underpinnings.

This paper argues for a careful (re)consideration of the expectations formation process and a more systematic inclusion of real-time expectations through survey data in macroeconomic analyses. While the rational expectations revolution has allowed for great leaps in macroeconomic modeling, the surveyed empirical microevidence appears increasingly at odds with the full-information rational expectation assumption. We explore models of expectation formation that can potentially explain why and how survey data deviate from full-information rational expectations. Using the New Keynesian Phillips curve as an extensive case study, we demonstrate how incorporating survey data on inflation expectations can address a number of otherwise puzzling shortcomings that arise under the assumption of full-information rational expectations.

That prenatal events can have life-long consequences is now well established. Nevertheless, research on the fetal origins hypothesis is flourishing and has expanded to include the early childhood (postnatal) environment. Why does this literature have a “second act?” We summarize the major themes and contributions driving the empirical literature since our 2011 reviews, and try to interpret the literature in light of an overarching conceptual framework about how human capital is produced early in life. One major finding is that relatively mild shocks in early life can have substantial negative impacts, but that the effects are often heterogeneous reflecting differences in child endowments, budget constraints, and production technologies. Moreover, shocks, investments, and interventions can interact in complex ways that are only beginning to be understood. Many advances in our knowledge are due to increasing accessibility of comprehensive administrative data that allow events in early life to be linked to long-term outcomes. Yet, we still know relatively little about the interval between, and thus about whether it would be feasible to identify and intervene with affected individuals at some point between early life and adulthood. We do know enough, however, to be able to identify some interventions that hold promise for improving child outcomes in early life and throughout the life course.

October 01 2018 Review of Economics and Statistics over the Past 100 Years: Content Asim I. Khwaja, Asim I. Khwaja Search for other works by this author on: This Site Google Scholar Kunal Mangal Kunal Mangal Search for other works by this author on: This Site Google Scholar Author and Article Information Asim I. Khwaja Kunal Mangal Online Issn: 1530-9142 Print Issn: 0034-6535 © 2018 The President and Fellows of Harvard College and the Massachusetts Institute of Technology2018The President and Fellows of Harvard College and the Massachusetts Institute of Technology The Review of Economics and Statistics (2018) 100 (4): i–vi. https://doi.org/10.1162/rest_e_00766 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Asim I. Khwaja, Kunal Mangal; Review of Economics and Statistics over the Past 100 Years: Content. The Review of Economics and Statistics 2018; 100 (4): i–vi. doi: https://doi.org/10.1162/rest_e_00766 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThe Review of Economics and Statistics Search Advanced Search This content is only available as a PDF. © 2018 The President and Fellows of Harvard College and the Massachusetts Institute of Technology2018The President and Fellows of Harvard College and the Massachusetts Institute of Technology Article PDF first page preview Close Modal You do not currently have access to this content.

Can a toolbox of simple heuristic rules help explain lottery choices relative to expected utility theory (EUT)? While a mixture model of EUT plus heuristic rules will obviously fit data better than EUT only, given the small sample sizes, there is a danger of overfitting. Therefore, instead of goodness-of-fit measures, we focus on forecasting performance. Using two data sets of binary lottery choices and reasonable holdout subsets for testing forecasting performance, we find that the EUT-only model forecasts better than the toolbox mixture model with EUT. Even when the toolbox model with EUT fits the data significantly better, EUT-only forecasts better.

This paper introduces a simple measure of a concordance pattern among observed outcomes along a network, that is, the pattern in which adjacent outcomes tend to be more strongly correlated than nonadjacent outcomes. The graph concordance measure can be generally used to quantify the empirical relevance of a network in explaining cross-sectional dependence of the outcomes, and as shown in the paper, it can also be used to quantify the extent of homophily under certain conditions. When one observes a single large network, it is nontrivial to make inferences about the concordance pattern. Assuming a dependency graph, this paper develops a permutation-based confidence interval for the graph concordance measure. The confidence interval is valid in finite samples when the outcomes are exchangeable, and under the dependency graph, an assumption together with other regularity conditions, is shown to exhibit asymptotic validity. Monte Carlo simulation results show that the validity of the permutation method is more robust than the asymptotic method to various graph configurations.

This paper examines fiscal policy forecasts prepared for the Federal Open Market Committee and its influence on U.S. monetary policy. The forecasts contain useful information beyond that in the CBO’s forecasts. Fiscal forecast errors are only weakly correlated with forecast errors for inflation and output growth, but those for the budget surplus are highly correlated with those for the unemployment rate and the output gap. Some fiscal variables can also account for a significant fraction of the “exogenous” changes in the federal funds rate target that Romer and Romer (2004) studied, consistent with the board’s statements on the importance of fiscal policy.

We examine the housing market and residential mobility changes that occur soon after a Title 1 school fails to achieve adequate yearly progress (AYP) in Charlotte, North Carolina. Students within attendance zones of failing schools are given priority in lotteries for oversubscribed schools, potentially increasing the attractiveness of living in a failing school attendance zone. We find that housing prices, home buyer income, and the probability of attending a nonassigned school increase in the highest-quality neighborhoods within failing school attendance zones. Our results are driven largely by the behavior of new residents.

Using data on women’s choice of hospital for childbirth in Florida, we find that women return to the same hospital approximately 70% of the time. We separate explanations of switching costs and unobserved preference heterogeneity using a panel data fixed effects estimator and find that switching costs account for approximately 40% of the demand effects of a lagged dependent variable. The welfare effects of excluding a hospital from a payer’s network are smaller in the short run but higher in the long run, given our estimates of switching costs, and the dynamic effects of entry on competition are significantly smaller.