This article shows the conditions under which endogeneity of a regressor variable does not affect threshold nonlinearity tests. Inference on the values of the parameters derived from standard statistics is also appropriate. Simulation techniques are used to approximate the p-value of the test. Monte Carlo simulations confirm the validity of Wald tests in the presence of endogeneity in the regressors.Fil: Dentler, Alexander. University of Wisconsin; Estados UnidosFil: Montes Rojas, Gabriel Victorio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. City University London; Reino UnidoFil: Olmo, Jose. University of Southampton; Reino Unid
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This paper studies estimation and speci\u85cation testing in threshold regression with endogeneity. ...
We propose two new parametric tests for an unknown threshold in models with endogenous regressors. T...
We propose three new methods of inference for the threshold point in endogenous threshold regression...
This paper studies estimation in threshold regression with endogeneity in the regressors and thresho...
We develop a test of the joint null hypothesis of linearity and nonstationarity within a threshold a...
In this paper we revisit the results in Caner and Hansen (2001), where the authors obtained novel li...
This paper addresses an important and challenging issue as how best to model nonlinear asymmetric dy...
This dissertation develops a test of endogeneity without the need of instrumental variables. The tes...
This paper develops a uniform test of linearity against threshold effects in the quantile regression...
This paper proposes a test for the null that, in a cointegrated panel, the long-run correlation betw...
This paper addresses an important issue of modelling nonlinear asymmetric dynamics and unobserved in...
Nonparametric approaches have widely been used due to their advancement in not making assumptions on...
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