The Experts below are selected from a list of 4442106 Experts worldwide ranked by ideXlab platform
Yanos Zylberberg - One of the best experts on this subject based on the ideXlab platform.
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Star wars: The Empirics strike back
American Economic Journal: Applied Economics, 2016Co-Authors: Abel Brodeur, Mathias Lé, Marc Sangnier, Yanos ZylberbergAbstract:Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The distribution of p-values exhibits a two humped camel shape with abundant p-values above 0.25, a valley between 0.25 and 0.10, and a bump slightly below 0.05. The missing tests (with p-values between 0.25 and 0.10) can be retrieved just after the 0.05 threshold and represent 10% to 20% of marginally rejected tests. Our interpretation is that researchers might be tempted to inflate the value of those just-rejected tests by choosing a significant specification. We propose a method to measure this residual and describe how it varies by article and author characteristics.
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Star Wars: The Empirics Strike Back
American Economic Journal: Applied Economics, 2016Co-Authors: Abel Brodeur, Marc Sangnier, Yanos ZylberbergAbstract:Using 50,000 tests published in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained solely by journals favoring rejection of the null hypothesis. We observe a two-humped camel shape with missing p-values between 0.25 and 0.10 that can be retrieved just after the 0.05 threshold and represent 10-20 percent of marginally rejected tests. Our interpretation is that researchers inflate the value of just-rejected tests by choosing "significant" specifications. We propose a method to measure this residual and describe how it varies by article and author characteristics. (JEL A11, C13)
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star wars the Empirics strike back
Post-Print, 2015Co-Authors: Abel Brodeur, Marc Sangnier, Yanos ZylberbergAbstract:Journals favor rejections of the null hypothesis. This selection upon results may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The distribution of p-values exhibits a camel shape with abundant p-values above :25, a valley between :25 and :10 and a bump slightly under :05. Missing tests are those which would have been accepted but close to being rejected (p-values between :25 and :10). We show that this pattern corresponds to a shift in the distribution of p-values: between 10% and 20% of marginally rejected tests are misallocated. Our interpretation is that researchers might be tempted to inflate the value of their tests by choosing the specification that provides the highest statistics. Note that Inflation is larger in articles where stars are used in order to highlight statistical significance and lower in articles with theoretical models.
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star wars the Empirics strike back
2013Co-Authors: Abel Brodeur, Marc Sangnier, Yanos ZylberbergAbstract:Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The distribution of p-values exhibits a camel shape with abundant p-values above 0.25, a valley between 0.25 and 0.10 and a bump slightly below 0.05. The missing tests (with p-values between 0.25 and 0.10) can be retrieved just after the 0.05 threshold and represent 10% to 20% of marginally rejected tests. Our interpretation is that researchers might be tempted to inflate the value of those almost-rejected tests by choosing a "significant" specification. We propose a method to measure inflation and decompose it along articles' and authors' characteristics.
Alberto Bisin - One of the best experts on this subject based on the ideXlab platform.
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Skewed Wealth Distributions: Theory and Empirics
Journal of Economic Literature, 2018Co-Authors: Jess Benhabib, Alberto BisinAbstract: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-saving 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.
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skewed wealth distributions theory and Empirics
2016Co-Authors: Jess Benhabib, Alberto BisinAbstract: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 mechanism generating skewness and thick tails. Further, we show how these mechanisms can be micro-founded by the consumption-saving decisions of rational agents in specific economic and demographic environments. Finally we map the large empirical work on the wealth distribution to its theoretical underpinning.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Steven N Durlauf - One of the best experts on this subject based on the ideXlab platform.
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on the Empirics of social capital
The Economic Journal, 2002Co-Authors: Steven N DurlaufAbstract:This paper critically examines the way in which empirical evidence is developed in support of a role for social capital in socioeconomic outcomes. Three leading studies of social capital are reviewed and in each case argued to suffer from various identification problems. A general set of conditions under which social capital effects may be identified in linear models is given. Careful attention to these conditions combined with greater openmindedness as to what constitutes appropriate evidence seems the best route to improving empirical studies of social capital.
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growth Empirics and reality
The World Bank Economic Review, 2001Co-Authors: William A Brock, Steven N DurlaufAbstract:This article questions current empirical practice in the study of growth. It argues that much of the modern empirical growth literature is based on assumptions about regressors, residuals, and parameters that are implausible from the perspective of both economic theory and the historical experiences of the countries under study. Many of these problems, it argues, are forms of violations of an exchangeability assumption that implicitly underlies standard growth exercises. The article shows that these implausible assumptions can be relaxed by allowing for uncertainty in model specification. Model uncertainty consists of two types: theory uncertainty, which relates to which growth determinants should be included in a model; and heterogeneity uncertainty, which relates to which observations in a data set constitute draw from the same statistical model. The article proposes ways to account for both theory and heterogeneity uncertainty. Finally, using an explicit decision-theoretic framework, the authors describe how one can engage in policy-relevant empirical analysis.
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on the Empirics of social capital
2001Co-Authors: Steven N DurlaufAbstract:This paper critically examines the way in which empirical evidence is developed in support of a role for social capital in socioeconomic outcomes. Three leading studies of social capital are reviewed and in each case argued to suffer from various identification problems. A general set of conditions under which social capital effects may be identified in linear models is given. Careful attention to these conditions combined with greater openmindedness as to what constitutes appropriate evidence seems the best route to improving empirical studies of social capital. Copyright Royal Economic Society 2002 (This abstract was borrowed from another version of this item.)
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the new Empirics of economic growth
Handbook of Macroeconomics, 1999Co-Authors: Steven N Durlauf, Danny QuahAbstract:We provide an overview of recent empirical research on patterns of cross-country growth. The new empirical regularities considered differ from earlier ones, e.g., the well-known Kaldor stylized facts. The new research no longer makes production function accounting a central part of the analysis. Instead, attention shifts more directly to questions like, Why do some countries grow faster than others? It is this changed focus that, in our view, has motivated going beyond the neoclassical growth model.
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chapter 4 the new Empirics of economic growth
Handbook of Macroeconomics, 1999Co-Authors: Steven N Durlauf, Danny T QuahAbstract:Abstract We provide an overview of recent empirical research on patterns of cross-country growth. The new empirical regularities considered differ from earlier ones, e.g., the well-known Kaldor stylized facts. The new research no longer makes production function accounting a central part of the analysis. Instead, attention shifts more directly to questions like, Why do some countries grow faster than others? It is this changed focus that, in our view, has motivated going beyond the neoclassical growth model.
Abel Brodeur - One of the best experts on this subject based on the ideXlab platform.
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Star wars: The Empirics strike back
American Economic Journal: Applied Economics, 2016Co-Authors: Abel Brodeur, Mathias Lé, Marc Sangnier, Yanos ZylberbergAbstract:Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The distribution of p-values exhibits a two humped camel shape with abundant p-values above 0.25, a valley between 0.25 and 0.10, and a bump slightly below 0.05. The missing tests (with p-values between 0.25 and 0.10) can be retrieved just after the 0.05 threshold and represent 10% to 20% of marginally rejected tests. Our interpretation is that researchers might be tempted to inflate the value of those just-rejected tests by choosing a significant specification. We propose a method to measure this residual and describe how it varies by article and author characteristics.
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Star Wars: The Empirics Strike Back
American Economic Journal: Applied Economics, 2016Co-Authors: Abel Brodeur, Marc Sangnier, Yanos ZylberbergAbstract:Using 50,000 tests published in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained solely by journals favoring rejection of the null hypothesis. We observe a two-humped camel shape with missing p-values between 0.25 and 0.10 that can be retrieved just after the 0.05 threshold and represent 10-20 percent of marginally rejected tests. Our interpretation is that researchers inflate the value of just-rejected tests by choosing "significant" specifications. We propose a method to measure this residual and describe how it varies by article and author characteristics. (JEL A11, C13)
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star wars the Empirics strike back
Post-Print, 2015Co-Authors: Abel Brodeur, Marc Sangnier, Yanos ZylberbergAbstract:Journals favor rejections of the null hypothesis. This selection upon results may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The distribution of p-values exhibits a camel shape with abundant p-values above :25, a valley between :25 and :10 and a bump slightly under :05. Missing tests are those which would have been accepted but close to being rejected (p-values between :25 and :10). We show that this pattern corresponds to a shift in the distribution of p-values: between 10% and 20% of marginally rejected tests are misallocated. Our interpretation is that researchers might be tempted to inflate the value of their tests by choosing the specification that provides the highest statistics. Note that Inflation is larger in articles where stars are used in order to highlight statistical significance and lower in articles with theoretical models.
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star wars the Empirics strike back
2013Co-Authors: Abel Brodeur, Marc Sangnier, Yanos ZylberbergAbstract:Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The distribution of p-values exhibits a camel shape with abundant p-values above 0.25, a valley between 0.25 and 0.10 and a bump slightly below 0.05. The missing tests (with p-values between 0.25 and 0.10) can be retrieved just after the 0.05 threshold and represent 10% to 20% of marginally rejected tests. Our interpretation is that researchers might be tempted to inflate the value of those almost-rejected tests by choosing a "significant" specification. We propose a method to measure inflation and decompose it along articles' and authors' characteristics.
Peter K Schott - One of the best experts on this subject based on the ideXlab platform.
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the Empirics of firm heterogeneity and international trade
Annual Review of Economics, 2012Co-Authors: Andrew B Bernard, Stephen J Redding, Bradford J Jensen, Peter K SchottAbstract:This article reviews the empirical evidence on firm heterogeneity in international trade. A first wave of empirical findings from microdata on plants and firms proposed challenges for existing models of international trade and inspired the development of new theories emphasizing firm heterogeneity. Subsequent empirical research has examined additional predictions of these theories and explored other dimensions of the data not originally captured by them. These other dimensions include multiproduct firms, offshoring, intrafirm trade and firm export market dynamics.
