Abstract
Nonparametric structural models facilitate the analysis of counterfactuals without making use of parametric assumptions. Such methods make use of the behavioural and equilibrium assumptions specified in economic models to define a mapping between the distribution of the observable variables and the primitive functions and distributions that are used in the model. Using these methods, one can infer elements of the model, such as utility and production functions, that are not directly observed. We review some of the latest works that have dealt with the identification and estimation of nonparametric structural models.
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Matzkin, R.L. (2018). Non-parametric Structural Models. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2163
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DOI: https://doi.org/10.1057/978-1-349-95189-5_2163
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