Structural threshold regression

A Kourtellos, T Stengos, CM Tan - Econometric Theory, 2016 - cambridge.org
This paper introduces the structural threshold regression (STR) model that allows for an
endogenous threshold variable as well as for endogenous regressors. This model provides …

Regression discontinuity designs with unknown discontinuity points: Testing and estimation

J Porter, P Yu - Journal of Econometrics, 2015 - Elsevier
The regression discontinuity design has become a common framework among applied
economists for measuring treatment effects. A key restriction of the existing literature is the …

Public debt and economic growth conundrum: nonlinearity and inter-temporal relationship

V Arčabić, J Tica, J Lee, RJ Sonora - Studies in Nonlinear Dynamics …, 2018 - degruyter.com
The influential paper by Reinhart and Rogoff (Reinhart, CM, and KS Rogoff. 2010.“Growth in
a Time of Debt.” The American Economic Review 100: 573–578.) has triggered a debate …

[HTML][HTML] Oil rents and non-oil economic growth in CIS oil exporters. The role of financial development

FJ Hasanov, R Aliyev, D Taskin, E Suleymanov - Resources Policy, 2023 - Elsevier
The role of financial development is vital in long-run economic growth. Due to the windfall
revenues it might have extra relevance in natural resource-rich developing economies. This …

Threshold regression with endogeneity

P Yu, PCB Phillips - Journal of Econometrics, 2018 - Elsevier
This paper studies estimation in threshold regression with endogeneity in the regressors
and thresholding variable. Three key results differ from those in regular models. First, both …

Robust inference for threshold regression models

J Hidalgo, J Lee, MH Seo - Journal of Econometrics, 2019 - Elsevier
This paper considers robust inference in threshold regression models when the practitioners
do not know whether at the threshold point the true specification has a kink or a jump …

Threshold regression with a threshold boundary

P Yu, X Fan - Journal of Business & Economic Statistics, 2021 - Taylor & Francis
This article studies computation, estimation, inference, and testing for linearity in threshold
regression with a threshold boundary. We first put forward a new algorithm to ease the …

Single-index thresholding in quantile regression

Y Zhang, HJ Wang, Z Zhu - Journal of the American Statistical …, 2022 - Taylor & Francis
Threshold regression models are useful for identifying subgroups with heterogeneous
parameters. The conventional threshold regression models split the sample based on a …

Adaptive estimation of the threshold point in threshold regression

P Yu - Journal of Econometrics, 2015 - Elsevier
This paper studies semiparametric efficient estimation of the threshold point in threshold
regression. The classical literature of semiparametric efficient estimation rests on the fact …

New control function approaches in threshold regression with endogeneity

P Yu, Q Liao, PCB Phillips - Econometric Theory, 2024 - cambridge.org
This paper studies control function (CF) approaches in endogenous threshold regression
where the threshold variable is allowed to be endogenous. We first use a simple example to …