Title
Strategy-proof estimators for simple regression
Abstract
This paper introduces a whole class of estimators (clockwise repeated median estimators or CRM) for the simple regression model that are immune to strategic manipulation by the agents generating the data. We find that some well-known robust estimators proposed in the literature like the resistant line method are included in our family. Finally, we also undertake a Monte Carlo study to compare the distribution of some estimators that are robust to data manipulation with the OLS estimators under different scenarios.
Year
DOI
Venue
2004
10.1016/S0165-4896(03)00085-4
Mathematical Social Sciences
Keywords
Field
DocType
Strategy-proofness,Single-peaked preferences,Robust regression,Data contamination
Econometrics,Lucas critique,M-estimator,Extremum estimator,Economics,Regression analysis,Robust regression,Robust statistics,Simple linear regression,Estimator
Journal
Volume
Issue
ISSN
47
2
0165-4896
Citations 
PageRank 
References 
5
0.68
0
Authors
2
Name
Order
Citations
PageRank
Javier Perote162.05
Juan Perote-Peña2182.58