Exploring the Use of a Nonparametrically Generated Instrumetal Variable in the Estimation of a Linear Parametric Equation
AbstractThe use of a nonparametrically generated instrumental variable in estimating a single-equation linear parametric model is explored, using kernel and other smoothing functions. The method, termed IVOS (Instrumental Variables Obtained by Smoothing), is applied in the estimation of measurement error and endogenous regressor models. Asymptotic and small-sample properties are investigated by simulation, using artificial data sets. IVOS is easy to apply and the simulation results exhibit good statistical properties. It can be used in situations in which standard IV cannot because suitable instruments are not available.
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Bibliographic InfoPaper provided by McMaster University in its series Social and Economic Dimensions of an Aging Population Research Papers with number 124.
Length: 36 pages
Date of creation: Jan 2005
Date of revision:
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single equation models; nonparametric; instrumental variables;
Other versions of this item:
- Frank T. Denton, 2004. "Exploring the Use of a Nonparametrically Generated Instrumental Variable in the Estimation of a Linear Parametric Equation," Quantitative Studies in Economics and Population Research Reports 390, McMaster University.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
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