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Predictive Regressions
Stambaugh, Robert F. - 1999
When a rate of return is regressed on a lagged stochastic regressor, such as a dividend yield, the regression disturbance is correlated with the regressor's innovation. The OLS estimator's finite-sample properties, derived here, can depart substantially from the standard regression setting....
Persistent link: https://www.econbiz.de/10012471691
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Rank-1/2 : A Simple Way to Improve the OLS Estimation of Tail Exponents
Gabaix, Xavier - 2007
Despite the availability of more sophisticated methods, a popular way to estimate a Pareto exponent is still to run an OLS regression: log(Rank)=a-b log(Size), and take b as an estimate of the Pareto exponent. The reason for this popularity is arguably the simplicity and robustness of this...
Persistent link: https://www.econbiz.de/10012465292
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Robust Inference with Multi-way Clustering
Cameron, A. Colin - 2006
In this paper we propose a new variance estimator for OLS as well as for nonlinear estimators such as logit, probit and GMM, that provcides cluster-robust inference when there is two-way or multi-way clustering that is non-nested. The variance estimator extends the standard cluster-robust...
Persistent link: https://www.econbiz.de/10012466120
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Economic Analysis of Social Interactions
Manski, Charles F. - 2000
rigor of modern economic analysis. Major theoretical developments in game theory, the economics of the family, and … endogenous growth theory have taken place. Economists have also performed new empirical research on social interactions, but the … empirical literature does not show progress comparable to that achieved in economic theory. This paper examines why and …
Persistent link: https://www.econbiz.de/10012471189
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Researcher Incentives and Empirical Methods
Glaeser, Edward L. - 2006
Economists are quick to assume opportunistic behavior in almost every walk of life other than our own. Our empirical methods are based on assumptions of human behavior that would not pass muster in any of our models. The solution to this problem is not to expect a mass renunciation of data...
Persistent link: https://www.econbiz.de/10012466072
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The Social Multiplier
Glaeser, Edward L. - 2002
In many cases, aggregate data is used to make inferences about individual level behavior. If there are social interactions in which one person's actions influence his neighbor's incentives or information, then these inferences are inappropriate. The presence of positive social interactions, or...
Persistent link: https://www.econbiz.de/10012469557
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Causal Inference in Urban and Regional Economics
Baum-Snow, Nathaniel - 2014
Recovery of causal relationships in data is an essential part of scholarly inquiry in the social sciences. This chapter discusses strategies that have been successfully used in urban and regional economics for recovering such causal relationships. Essential to any successful empirical inquiry is...
Persistent link: https://www.econbiz.de/10012458130
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To Hold Out or Not to Hold Out
Schorfheide, Frank - 2013
A recent literature has developed that combines two prominent empirical approaches to ex ante policy evaluation: randomized controlled trials (RCT) and structural estimation. The RCT provides a "gold-standard'' estimate of a particular treatment, but only of that treatment. Structural estimation...
Persistent link: https://www.econbiz.de/10012459096
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Estimating Log Models : To Transform or Not to Transform?
Manning, Willard G. - 1999
Data on health care expenditures, length of stay, utilization of health services, consumption of unhealthy commodities, etc. are typically characterized by: (a) nonnegative outcomes; (b) nontrivial fractions of zero outcomes in the population (and sample); and (c) positively-skewed distributions...
Persistent link: https://www.econbiz.de/10012471372
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One Instrument to Rule Them All : The Bias and Coverage of Just-ID IV
Angrist, Joshua D.; Kolesar, Michal - National Bureau of Economic Research - 2021
Two-stage least squares estimates in heavily over-identified instrumental variables (IV) models can be misleadingly close to the corresponding ordinary least squares (OLS) estimates when many instruments are weak. Just-identified (just-ID) IV estimates using a single instrument are also biased,...
Persistent link: https://www.econbiz.de/10012660095