Institution
National Bureau of Economic Research
Nonprofit•Cambridge, Massachusetts, United States•
About: National Bureau of Economic Research is a nonprofit organization based out in Cambridge, Massachusetts, United States. It is known for research contribution in the topics: Monetary policy & Population. The organization has 2626 authors who have published 34177 publications receiving 2818124 citations. The organization is also known as: NBER & The National Bureau of Economic Research.
Topics: Monetary policy, Population, Exchange rate, Interest rate, Wage
Papers published on a yearly basis
Papers
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TL;DR: This paper found that computer capital substitutes for workers in performing cognitive and manual tasks that can be accomplished by following explicit rules, and complements workers in non-routine problem-solving and complex communications tasks.
Abstract: We apply an understanding of what computers do to study how computerization alters job skill demands. We argue that computer capital (1) substitutes for workers in performing cognitive and manual tasks that can be accomplished by following explicit rules; and (2) complements workers in performing nonroutine problem-solving and complex communications tasks. Provided these tasks are imperfect substitutes, our model implies measurable changes in the composition of job tasks, which we explore using representative data on task input for 1960 to 1998. We find that within industries, occupations and education groups, computerization is associated with reduced labor input of routine manual and routine cognitive tasks and increased labor input of nonroutine cognitive tasks. Translating task shifts into education demand, the model can explain sixty percent of the estimated relative demand shift favoring college labor during 1970 to 1998. Task changes within nominally identical occupations account for almost half of this impact.
2,843 citations
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TL;DR: The authors reviewed recent research that grapples with the question: What happens after an exogenous shock to monetary policy? They argue that this question is interesting because it lies at the center of a particular approach to assessing the empirical plausibility of structural economic models that can be used to think about systematic changes in monetary policy institutions and rules.
Abstract: This paper reviews recent research that grapples with the question: What happens after an exogenous shock to monetary policy? We argue that this question is interesting because it lies at the center of a particular approach to assessing the empirical plausibility of structural economic models that can be used to think about systematic changes in monetary policy institutions and rules. The literature has not yet converged on a particular set of assumptions for identifying the effects of an exogenous shock to monetary policy. Nevertheless, there is considerable agreement about the qualitative effects of a monetary policy shock in the sense that inference is robust across a large subset of the identification schemes that have been considered in the literature. We document the nature of this agreement as it pertains to key economic aggregates.
2,803 citations
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TL;DR: A nonparametric method for automatically selecting the number of autocovariances to use in computing a heteroskedasticity and autocorrelation consistent covariance matrix is proposed and proved to be asymptotically equivalent to one that is optimal under a mean squared error loss function.
Abstract: We propose a nonparametric method for automatically selecting the number of autocovariances to use in computing a heteroskedasticity and autocorrelation consistent covariance matrix. For a given kernel for weighting the autocovariances, we prove that our procedure is asymptotically equivalent to one that is optimal under a mean squared error loss function. Monte Carlo simulations suggest that our procedure performs tolerably well, although it does result in size distortions.
2,798 citations
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TL;DR: This paper used a generalized vector autoregressive framework to characterize daily volatility spillovers across US stock, bond, foreign exchange and commodities markets, from January 1999 to January 2010, and showed that despite significant volatility fluctuations in all four markets during the sample, cross-market volatility spillover were quite limited until the global financial crisis, which began in 2007.
2,688 citations
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TL;DR: This paper used principal component analysis (PCA) to predict macroeconomic time series variable using a large number of predictors, and the predictors were summarized using a small number of indexes constructed by principal component analyzer.
Abstract: This article studies forecasting a macroeconomic time series variable using a large number of predictors. The predictors are summarized using a small number of indexes constructed by principal component analysis. An approximate dynamic factor model serves as the statistical framework for the estimation of the indexes and construction of the forecasts. The method is used to construct 6-, 12-, and 24-monthahead forecasts for eight monthly U.S. macroeconomic time series using 215 predictors in simulated real time from 1970 through 1998. During this sample period these new forecasts outperformed univariate autoregressions, small vector autoregressions, and leading indicator models.
2,686 citations
Authors
Showing all 2855 results
Name | H-index | Papers | Citations |
---|---|---|---|
James J. Heckman | 175 | 766 | 156816 |
Andrei Shleifer | 171 | 514 | 271880 |
Joseph E. Stiglitz | 164 | 1142 | 152469 |
Daron Acemoglu | 154 | 734 | 110678 |
Gordon H. Hanson | 152 | 1434 | 119422 |
Edward L. Glaeser | 137 | 550 | 83601 |
Alberto Alesina | 135 | 498 | 93388 |
Martin B. Keller | 131 | 541 | 65069 |
Jeffrey D. Sachs | 130 | 692 | 86589 |
John Y. Campbell | 128 | 400 | 98963 |
Robert J. Barro | 124 | 519 | 121046 |
René M. Stulz | 124 | 470 | 81342 |
Paul Krugman | 123 | 347 | 102312 |
Ross Levine | 122 | 398 | 108067 |
Philippe Aghion | 122 | 507 | 73438 |