Power properties of the Sargan test in the presence of measurement errors in dynamic panels
AbstractThis article investigates the power properties of the Sargan test in the presence of measurement errors in dynamic panel data models. The conclusion from Monte Carlo (MC) simulations and an application on the data used by Arellano and Bond (1991), is that in the very likely case of measurement errors in either the dependent or any of the independent variables, we will, if we rely on the Sargan test, quite likely accept a misspecified model and end up with biased results.
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Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Applied Economics Letters.
Volume (Year): 15 (2008)
Issue (Month): 5 ()
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Web page: http://www.tandf.co.uk/journals/routledge/13504851.html
Other versions of this item:
- Dahlberg, Matz & Johansson, Eva & Tovmo, Per, 2002. "Power Properties of the Sargan Test in the Presence of Measurement Errors in Dynamic Panels," Working Paper Series 2002:13, Uppsala University, Department of Economics.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
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