期刊名称：CEMFI Working Papers / Centro de Estudios Monetarios y Financieros, Madrid
出版年度：2017
卷号：2017
出版社：Centro de Estudios Monetarios y Financieros, Madrid
摘要：Recent developments in nonlinear panel data analysis allow identifying and estimating generaldynamic systems. In this review we describe some results and techniques for nonparametricidentification and flexible estimation in the presence of time-invariant and time-varying latentvariables. This opens the possibility to estimate nonlinear reduced forms in a large class of structuraldynamic models with heterogeneous agents. We show how such reduced forms may be used todocument policy-relevant derivative effects, and to improve the understanding and facilitate theimplementation of structural models.
