Simple efficient bias corrected instrumental variable estimator for randomized trials with noncompliance

2012 ◽  
Vol 33 (4) ◽  
pp. 786-793
Author(s):  
Kwun Chuen Gary Chan
Keyword(s):  
Instrumental Variable ◽  
Randomized Trials ◽  
Instrumental Variable Estimator

scholarly journals A SIMPLE EFFICIENT INSTRUMENTAL VARIABLE ESTIMATOR FOR PANEL AR(p) MODELS WHEN BOTHNANDTARE LARGE

2009 ◽  
Vol 25 (3) ◽  
pp. 873-890 ◽  
Author(s):  
Kazuhiko Hayakawa
Keyword(s):  
Time Series ◽  
Lower Bound ◽  
Asymptotic Distribution ◽  
Cross Section ◽  
Simulation Study ◽  
Instrumental Variable ◽  
Asymptotic Variance ◽  
The Cross ◽  
Instrumental Variable Estimator ◽  
Normally Distributed

In this paper, we show that for panel AR(p) models, an instrumental variable (IV) estimator with instruments deviated from past means has the same asymptotic distribution as the infeasible optimal IV estimator when bothNandT, the dimensions of the cross section and time series, are large. If we assume that the errors are normally distributed, the asymptotic variance of the proposed IV estimator is shown to attain the lower bound when bothNandTare large. A simulation study is conducted to assess the estimator.

scholarly journals Random Effects Endogeneity: A Variable Pretest

2021 ◽  
pp. 19-25
Author(s):  
Mitch Kunce
Keyword(s):  
Panel Data ◽  
Prior Knowledge ◽  
Random Effects ◽  
Instrumental Variable ◽  
Jel Classification ◽  
Explanatory Variables ◽  
Error Components ◽  
Latent Group ◽  
Instrumental Variable Estimator ◽  
Group Effects

Abstract The appealing but complex Hausman and Taylor (1981) random effects (instrumental variable) estimator requires prior knowledge that certain explanatory variables in a panel are uncorrelated with the latent group effects. The purpose of this examination is to outline a tractable variable pretest that facilitates the initial sorting of regressors as likely exogenous or endogenous. The variable pretest proposed herein builds on the pretest estimator suggested by Baltagi et al (2003) by providing the necessary foundation for regressor identification. Extensions are suggested for the two-way error components construct. Keywords: Panel data, Random effects, Variable pretest, Hausman-Taylor. JEL Classification: C12, C13, C23.

scholarly journals Avoiding Invalid Instruments and Coping with Weak Instruments

2006 ◽  
Vol 20 (4) ◽  
pp. 111-132 ◽  
Author(s):  
Michael P Murray
Keyword(s):  
Instrumental Variable ◽  
Ordinary Least Squares ◽  
Paper Briefly ◽  
Weak Instruments ◽  
Instrumental Variable Estimation ◽  
Invalid Instruments ◽  
Valid Instrument ◽  
Disturbance Term ◽  
And Coping ◽  
Instrumental Variable Estimator

Archimedes said, “Give me the place to stand, and a lever long enough, and I will move the Earth.” Economists have their own powerful lever: the instrumental variable estimator. The instrumental variable estimator can avoid the bias that ordinary least squares suffers when an explanatory variable in a regression is correlated with the regression's disturbance term. But, like Archimedes' lever, instrumental variable estimation requires both a valid instrument on which to stand and an instrument that isn't too short (or “too weak”). This paper briefly reviews instrumental variable estimation, discusses classic strategies for avoiding invalid instruments (instruments themselves correlated with the regression's disturbances), and describes recently developed strategies for coping with weak instruments (instruments only weakly correlated with the offending explanator).

scholarly journals How Elastic is the Labour Supply of Female Migrants Relative to the Labour Supply of Female Natives?

De Economist ◽  
2020 ◽  
Vol 168 (4) ◽  
pp. 475-517
Author(s):  
Tanja Fendel
Keyword(s):  
Labour Market ◽  
Instrumental Variable ◽  
Market Integration ◽  
Labour Supply ◽  
Labour Market Integration ◽  
Female Migrants ◽  
Using Data ◽  
The Relationship ◽  
Instrumental Variable Estimator

Abstract This study estimates the wage elasticities of migrants and natives by using data from the German Socio-Economic Panel from 1984 to 2015 and a grouping instrumental variable estimator. Female migrants who live with a partner have lower own- and cross-wage elasticities than respective female natives, and the elasticities of non-Western female migrants are insignificant. The relationship between participation and elasticity is not in all cases positive, but parallel to labour market integration, the time since migration increases the elasticities of women. Elasticities indicate the potential to increase participation; therefore, it is especially important for non-Western female migrants to remove barriers to flexible wage responses.

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