Implementing Maximum Likelihood Estimation of Empirical Matching Models
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DOI: 10.1007/s10614-020-10072-8
Abstract: We propose two Mathematical Programming with Equilibrium Constraints (MPEC) formulations: the MPEC-Sparse and the MPEC-Dense to estimate a class of separable matching models. We compare MPEC with the Nested Fixed-Point (NFXP) algorithm—a well-received method in… read more here.
Keywords: likelihood estimation; matching models; maximum likelihood; matching ... See more keywords