On testing overidentifying restrictions in dynamic panel data models
By Clive G. Bowsher. 2002
567 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/9423749fc4fdadd48f85cea8a5464032b00f39fb
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Citations in the corpus
- TESTING FOR CAUSALITY BETWEEN PRODUCTIVITY AND AGGLOMERATION ECONOMIES (2010, unknown): “For instance, the standard procedure used to test for instrument exogeneity, the Sargan test of overidentifying restrictions, has been shown to have poor finite sample properties and is not sufficiently robust to the problem of weak instruments (e.g., Andersen and Sorensen, 1996; Bowsher, 2002).”
- The Impact of Related Variety on Regional Employment Growth in Finland 1993–2006: High-Tech versus Medium/Low-Tech (2012, background): “The only risk with this test is that it can be weakened by instrument proliferation (Bowsher, 2002), which we take into account by limiting the number of instruments to N as suggested by Roodman (2009a).”
- Does too much finance harm economic growth (2014, background): “However, it should be noted that the GMM application to a sample with a small cross-section dimension, as in the present study, may lead to biased standard errors, biased estimated parameters (Windmeijer, 2005), and a weakened over-identification test (Bowsher, 2002).”
- A test of cross section dependence for a linear dynamic panel model with regressors (2009, background): “ui = F i + "i, (13) (5)For su¢ ciently large N , the overidentifying restrictions test (de ned by equation (28) below) is expected to have enough power to detect the violation of Assumption 5(b).”
- Does External Trade Promote Financial Development (2005, unknown): “[17] Bowsher, C.”
- Productivity Analysis in Global Manufacturing Production (2010, background): “(unpublished, updated version of 2004 paper) Bowsher, C. G. (2002). On testing overidentifying restrictions in dynamic panel data models. Economics Letters , 77 (2), 211-220. Cameron, A. C., & Trivedi, P. (1990). The information matrix test and its applied alternative hypotheses. (Working Paper, Uni”
- PRACTITIONERS' CORNER A Note on the Theme of Too Many Instruments Å (2009, background): “The problem is not unique to these two estimators, and the general consequences have been documented in the literature (Tauchen, 1986; Altonji and Segal, 1996; Andersen and Sørensen, 1996; Ziliak, 1997; Bowsher, 2002).”
- Econometric Analysis of Panel Data (2020, background): “The Breusch et al. (1989) (BMS) estimator exploits the additional moment restrictions that the correlation between x2,i t , and μi is constant over time.”
- The Econometrics of Finance and Growth (2008, background): “This results in an overfit of the endogenous variables, biasing the coefficient estimates towards OLS estimates and biasing the Sargan/Hansen test for joint validity of the instruments towards over-accepting the null hypothesis (Bowsher, 2002).”
- Consumption and labor supply with partial insurance: An analytical framework (2014, background): “Monte Carlo simulations in Bowsher (2002) show that inference becomes misleading as soon as the number of overidentifying restrictions approaches the number of observations.”
- Does the Profile of Income Inequality Matter for Economic Growth? (2005, background): “The Sargan test of overidentifying restrictions did not reject the validity of all reported instrument sets but, as demonstrated by Bowsher (2002), the test may lose its power and fail to reject the null hypothesis that the instruments are valid, when the sample size is small.”
- Do Financing Constraints Matter for R&D? (2012, unknown): “See Bowsher (2002).”