Andros Kourtellos () ( Department of Economics, University of Cyprus) Thanasis Stengos () ( Department of Economics, University of Guelph) Chih Ming Tan () ( Department of Economics, Tufts University)
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This paper extends the simple threshold regression framework of Hansen (2000) and Caner and Hansen (2004) to allow for endogeneity of the threshold variable. We develop a concentrated least squares estimator of the threshold parameter based on an inverse Mills ratio bias correction. We show that our estimator is consistent and investigate its performance using a Monte Carlo simulation that indicates the applicability of the method in nite samples Classification-JEL: C13, C51
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Paper provided by Rimini Centre for Economic Analysis in its series Working Paper Series with number
wp22_09.
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