Nonparametric identification in panels using quantiles

Victor Chernozhukov, Ivan Fernandez-Val, Stefan Hoderlein and Whitney K. Newey

No 54/14, CeMMAP working papers from Institute for Fiscal Studies

Abstract: This paper considers identification and estimation of ceteris paribus effects of continuous regressors in nonseparable panel models with time homogeneity. The effects of interest are derivatives of the average and quantile structural functions of the model. We find that these derivatives are identified with two time periods for “stayers”, i.e. for individuals with the same regressor values in two time periods. We show that the identification results carry over to models that allow location and scale time effects. We propose nonparametric series methods and a weighted bootstrap scheme to estimate and make inference on the identified effects. The bootstrap proposed allows inference for function-valued parameters such as quantile effects uniformly over a region of quantile indices and/or regressor values. An empirical application to Engel curve estimation with panel data illustrates the results.

Date: 2014-12-31
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.cemmap.ac.uk/wp-content/uploads/2020/08/CWP5414.pdf (application/pdf)

Related works:
Journal Article: Nonparametric identification in panels using quantiles (2015)
Working Paper: Nonparametric Identification in Panels using Quantiles (2014)
Working Paper: Nonparametric identification in panels using quantiles (2014)
Working Paper: Nonparametric identification in panels using quantiles (2013)
Working Paper: Nonparametric identification in panels using quantiles (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:azt:cemmap:54/14

DOI: 10.1920/wp.cem.2014.5414

Access Statistics for this paper

More papers in CeMMAP working papers from Institute for Fiscal Studies Contact information at EDIRC.
Bibliographic data for series maintained by Dermot Watson ().