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Author: Jungyoon Lee

6 results found.

Econometrics Paper

Minimax Risk in Estimating Kink Threshold and Testing

Javier Hidalgo, Heejun Lee, Jungyoon Lee and Myung Hwan Seo

We derive a risk lower bound in estimating the threshold parameter without knowing whether the threshold regression model is continuous or not. The bound goes to zero as the sample size n grows only at the cube root ra...Read more...

3 March 2022

Econometrics Paper

Adaptive Inference on Pure Spatial Models

Jungyoon Lee and Peter M Robinson

We consider adaptive tests and estimates which are asymptotically efficient in the presence of unknown, nonparametric, distributional form in pure spatial models. A novel adaptive Lagrange Multiplier testing procedure f...Read more...

26 January 2018

Econometrics Paper

Robust Inference and Testing of Continuity in Threshold Regression Models

Javier Hidalgo, Jungyoon Lee and Myung Hwan Seo

This paper is concerned with inference in regression models with either a kink or a jump at an unknown threshold, particularly when we do not know whether the kink or jump is the true specification. One of our main resu...Read more...

13 February 2017

Econometrics Paper

A Cusum Test of Common Trends in Large Heterogeneous Panels

Javier Hidalgo and Jungyoon Lee

This paper examines a nonparametric CUSUM-type test for common trends in large panel data sets with individual fixed effects. We consider, as in Zhang, Su and Phillips (2012), a partial linear regression model with unkno...Read more...

1 September 2014

Econometrics Paper

Series Estimation under Cross-sectional Dependence

Jungyoon Lee and Peter M Robinson

An asymptotic theory is developed for nonparametric and semiparametric series estimation under general cross-sectional dependence and heterogeneity. A uniform rate of consistency, asymptotic normality, and sufficient con...Read more...

25 November 2013

Econometrics Paper

Panel Nonparametric Regression with Fixed Effects

Jungyoon Lee and Peter M Robinson

Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specifi…c components and allows also for cross-sectional and temporal ...Read more...

25 November 2013