Interacted Two-Stage Least Squares with Treatment Effect Heterogeneity
Treatment effect heterogeneity with respect to covariates is common in instrumental variable (IV) analyses. An intuitive approach, which we term the interacted two-stage least squares (2SLS), is to postulate a linear working model of the outcome on the treatment, covariates, and treatment-covariate interactions, and instrument it by the IV, covariates,
Zhao, Anqi, Ding, Peng, Li, Fan
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TWO-STAGE HUBER ESTIMATION [PDF]
In this paper we study how the Huber estimator can be adapted to the presence of endogeneity in a two stage equations setting similar to that of 2SLS. We propose an estimation procedure that is at the same time relatively (i) simple, (ii) robust and (iii)
Christophe Muller, Tae-Hwan Kim
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Inference on Time-Invariant Variables using Panel Data: A Pre-Test Estimator with an Application to the Returns to Schooling [PDF]
This paper proposes a new pre-test estimator of panel data models including time invariant variables based upon the Mundlak-Krishnakumar estimator and an "unrestricted” Hausman-Taylor estimator. The paper evaluates the biases of currently used restricted
Jean-Bernard Chatelain, Kirsten Ralf
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Ownership Structure and Corporate Performance: Australian Evidence [PDF]
This paper seeks to analyse the relationship between ownership structure and corporate performance for fifty firms listed on the Australian Stock Exchange during 2002-2003.
Gerard Gannon +2 more
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2SLS with principal components: estimation of a nonlinear model of the Italian economy [PDF]
The estimation method of Two Stage Least Squares (2SLS) with Principal Components (2SPC) is applied to a medium-sized nonlinear econometric model of the Italian Economy.Two stage least squares, 2SLS, principal components, econometric model, Italian ...
Bianchi, Carlo +2 more
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Missing Variables and Two-Stage Least-Squares Estimation from More than One Data Set [PDF]
, 1982 In a situation when no single sample inc1udes all the endogenous variables of a simultaneous equation model but there are two (or more) non-overlapping samples and each variable is included in at least one, then it is possible to pool the data and ...
Klevmarken, Anders
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Drift and Diffusion in Geospatial Econometrics: Implications for Panel Data and Time Series
Computer Sciences & Mathematics ForumEconomic data is highly dependent on its arrangement within space and time. Perhaps the most obvious and important definition of space is geospatial configuration on the Earth’s surface. Consideration of geospatial effects produces a dramatic improvement
James Ming Chen
doaj +1 more source
Two-Sample Instrumental Variables Estimators [PDF]
Following an influential article by Angrist and Krueger (1992) on two-sample instrumental variables (TSIV) estimation, numerous empirical researchers have applied a computationally convenient two-sample two-stage least squares (TS2SLS) variant of Angrist
Atsushi Inoue, Gary Solon
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Ethnic fragmentation and police spending [PDF]
, 2010 Using a Two-Stage Least Squares procedure, we estimate the relationship between ethnic fragmentation and police spending using a cross-section of United States counties.
Ajilore, Olugbenga, Smith, John
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Are Mental Health Insurance Mandates Effective? Evidence from Suicides [PDF]
Many states have passed laws mandating insurance companies to provide or offer some form of mental health benefits. These laws presumably lower the price of obtaining mental health services for many adults, and as a result, might improve health outcomes.
Jonathan Klick, Sara Markowitz
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