EconPapers    
Economics at your fingertips  
 

Nonparametric estimation of dynamic discrete choice models for time series data

Byeong U. Park, Leopold Simar and Valentin Zelenyuk

No 2017011, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

Date: 2017-01-01
Note: In : Computational Statistics & Data Analysis, vol. 108, p. 97-120 (2017)
References: Add references at CitEc
Citations: View citations in EconPapers (13)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Nonparametric estimation of dynamic discrete choice models for time series data (2017) Downloads
Working Paper: Nonparametric Estimation of Dynamic Discrete Choice Models for Time Series Data (2016) Downloads
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:aiz:louvar:2017011

Access Statistics for this paper

More papers in LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) Voie du Roman Pays 20, 1348 Louvain-la-Neuve (Belgium). Contact information at EDIRC.
Bibliographic data for series maintained by Nadja Peiffer ().

 
Page updated 2025-03-22
Handle: RePEc:aiz:louvar:2017011