Details about Jau-er Chen

Access statistics for papers by Jau-er Chen.

Last updated 2023-02-18. Update your information in the RePEc Author Service.

Short-id: pch1555

Working Papers

2021

1. Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions
   Papers, arXiv.org View citations (4)
   See also Journal Article Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions, Econometrics, MDPI (2021) View citations (1) (2021)

Journal Articles

2023

1. Exploring Industry-Distress Effects on Loan Recovery: A Double Machine Learning Approach for Quantiles
   Econometrics, 2023, 11, (1), 1-20

2021

2. Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions
   Econometrics, 2021, 9, (2), 1-18 View citations (1)
   See also Working Paper Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions, Papers (2021) View citations (4) (2021)

2020

3. Demographic Shifts and Asset Returns in Japan
   Economics Bulletin, 2020, 40, (2), 1570-1582

2019

4. CAN INFORMATION AND COMMUNICATION TECHNOLOGY IMPROVE STOCK MARKET EFFICIENCY? A CROSS‐COUNTRY STUDY
   Bulletin of Economic Research, 2019, 71, (2), 113-135 View citations (5)
5. Causal Random Forests Model Using Instrumental Variable Quantile Regression
   Econometrics, 2019, 7, (4), 1-22 View citations (5)

2018

6. Nonparametric regression with multiple thresholds: Estimation and inference
   Journal of Econometrics, 2018, 206, (2), 472-514 View citations (10)

2017

7. The Japanese Taylor rule estimated using censored quantile regressions
   Empirical Economics, 2017, 52, (1), 357-371 View citations (5)

2015

8. Factor instrumental variable quantile regression
   Studies in Nonlinear Dynamics & Econometrics, 2015, 19, (1), 71-92 View citations (3)