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M-Estimators of U-Processes With a Change-Point Due to a Covariate Threshold

Bibliographic Data

ID19418741
AuthorsLili Tan (0000-0003-1560-9305, Yunnan University), Yichong Zhang (0000-0002-0677-7203, Economics, Singapore Management University, Singapore ())
Year2019
Volume37
Issue2
Pages248-259
Publication date2019-04-03
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2017.1319373
OpenAlexW2652940081
LanguageEN
References cited36

Economic theory often predicts a “tipping point” effect due to multiple equilibria. Linear threshold regressions estimate the “tipping point” by assuming at the same time that the response variable is linear in an index of covariates. However, economic theory rarely imposes a specific functional form, but rather predicts a monotonic relationship between the response variable and the index. We propose new, rank-based, estimators for both the “tipping point” and other regression coefficients, exploiting only the monotonicity condition. We derive the asymptotic properties of these estimators by establishing a more general result for M-estimators of U-processes with a change-point due to a covariate threshold. We finally apply our method to provide new estimates of the “tipping point” of social segregation in four major cities in the United States.

Combinatorics · Covariate · Econometrics · Estimator · Linear regression · Mathematical analysis · Monotonic function · Statistics · Computer Science · Economics of Agriculture and Food Markets · Mathematics · Spatial and Panel Data Analysis · Statistical Methods and Inference

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Highly citedNo

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