Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/189782 
Year of Publication: 
2016
Series/Report no.: 
cemmap working paper No. CWP51/16
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
Recent developments in nonlinear panel data analysis allow identifying and estimating general dynamic systems. In this review we describe some results and techniques for nonparametric identification and flexible estimation in the presence of time-invariant and time-varying latent variables. This opens the possibility to estimate nonlinear reduced forms in a large class of structural dynamic models with heterogeneous agents. We show how such reduced forms may be used to document policy-relevant derivative effects, and to improve the understanding and facilitate the implementation of structural models.
Subjects: 
dynamic models
structural economic models
panel data
unobserved heterogeneity
JEL: 
C23
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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