Likelihood approximation by numerical integration on sparse grids

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Authors Florian Heiss, Viktor Winschel
Journal/Conference Name Journal of Econometrics
Paper Category
Paper Abstract The calculation of likelihood functions of many econometric models requires the evaluation of integrals without analytical solutions. Approaches for extending Gaussian quadrature to multiple dimensions discussed in the literature are either very specific or suffer from exponentially rising computational costs in the number of dimensions. We propose an extension that is very general and easily implemented, and does not suffer from the curse of dimensionality. Monte Carlo experiments for the mixed logit model indicate the superior performance of the proposed method over simulation techniques.
Date of publication 2008
Code Programming Language R
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