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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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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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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
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When is TSLS Actually LATE?
Blandhol, Christine; Bonney, John; Mogstad, Magne; … - National Bureau of Economic Research - 2022
Linear instrumental variable estimators, such as two-stage least squares (TSLS), are commonly interpreted as estimating positively weighted averages of causal effects, referred to as local average treatment effects (LATEs). We examine whether the LATE interpretation actually applies to the types...
Persistent link: https://www.econbiz.de/10012814484
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An Adaptive Nonlinear Least Square Algorithm
Dennis, John E. - 1977
NL2SOL is a modular program for solving the nonlinear least-squares problem that incorporates a number of novel features. It maintains a secant approximation S to the second-order part of the least-squares Hessian and adaptively decides when to use this approximation. We have found it very...
Persistent link: https://www.econbiz.de/10012478936
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A Monte Carlo Study of Two Robust Alternatives of Least Square Regression Estimation
Hill, Richard W. - 1974
We give some Monte Carlo results on the performance of two robust alternatives to least squares regression estimation - least absolute residuals and the one-step "sine" estimator. We show how to scale the residuals for the sine estimator to achieve constant efficiency at the Gaussian across...
Persistent link: https://www.econbiz.de/10012479068
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A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples
Chetty, Raj - 2019
We develop a simple method to reduce privacy loss when disclosing statistics such as OLS regression estimates based on samples with small numbers of observations. We focus on the case where the dataset can be broken into many groups ("cells") and one is interested in releasing statistics for one...
Persistent link: https://www.econbiz.de/10012479578
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Clustering, Spatial Correlations and Randomization Inference
Barrios, Thomas - 2010
It is standard practice in empirical work to allow for clustering in the error covariance matrix if the explanatory variables of interest vary at a more aggregate level than the units of observation. Often, however, the structure of the error covariance matrix is more complex, with correlations...
Persistent link: https://www.econbiz.de/10012462895