EconPapers    
Economics at your fingertips  
 

A simple consistent test of conditional symmetry in symmetrically trimmed tobit models

Tao Chen () and Gautam Tripathi ()
Additional contact information
Tao Chen: Department of Economics, University of Waterloo, Ontario, Canada

CREA Discussion Paper Series from Center for Research in Economic Analysis, University of Luxembourg

Abstract: We propose a "weighted and sample-size adjusted" Kolmogorov-Smirnov type statistic to test the assumption of conditional symmetry maintained in the symmetrically trimmed least-squares (STLS) approach of Powell (1986b), which is widely used to estimate censored or truncated regression models without making distributional assumptions. The statistic proposed here is consistent and computationally easy to implement because, unlike traditional Kolmogorov-Smirnov statistics, it is not optimized over an uncountable set. Moreover, it does not require any nonparametric smoothing, although we test the validity of a conditional feature. We also propose a bootstrap procedure to obtain the p-values and critical values that are required to carry out the test in practical applications. Results from a simulation study suggest that our test can work very well even in small to moderately sized samples. As an empirical illustration, we apply our test to two datasets that have been used in the literature to estimate censored regression models using Powell's STLS approach, to check whether the assumption of conditional symmetry is supported by these datasets.

New Economics Papers: this item is included in nep-ecm
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://wwwfr.uni.lu/content/download/69320/872097/ ... t%20test%20%20GT.pdf (application/pdf)

Related works:
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:luc:wpaper:14-04

Access Statistics for this paper

More papers in CREA Discussion Paper Series from Center for Research in Economic Analysis, University of Luxembourg Contact information at EDIRC.
Bibliographic data for series maintained by Elisa Ferreira ().

 
Page updated 2019-09-07
Handle: RePEc:luc:wpaper:14-04