Karen X. Yan
Personal Details
First Name: | Karen |
Middle Name: | |
Last Name: | Yan |
Suffix: | |
RePEc Short-ID: | pya652 |
[This author has chosen not to make the email address public] | |
Affiliation
School of Economics
Georgia Institute of Technology
Atlanta, Georgia (United States)http://www.econ.gatech.edu/
RePEc:edi:segatus (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2017.
"Kernel Smoothed Probability Mass Functions for Ordered Datatypes,"
Department of Economics Working Papers
2017-14, McMaster University.
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2020. "Kernel smoothed probability mass functions for ordered datatypes," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(3), pages 563-586, July.
Articles
- Fang, Zheng & Li, Qi & Yan, Karen X., 2023. "A Simple Nonparametric Approach For Estimation And Inference Of Conditional Quantile Functions," Econometric Theory, Cambridge University Press, vol. 39(2), pages 290-320, April.
- Karen X. Yan, 2023. "How do the stay-at-home (SAH) orders affect air quality? Evidence from the northeastern USA," Empirical Economics, Springer, vol. 64(5), pages 2085-2103, May.
- Liu, Dandan & Wang, Qiaoyu & Yan, Karen Xueqing, 2022. "Oil supply news shock and Chinese economy," China Economic Review, Elsevier, vol. 73(C).
- Yu Sun & Karen X. Yan & Qi Li, 2021. "Estimation of average treatment effect based on a semiparametric propensity score," Econometric Reviews, Taylor & Francis Journals, vol. 40(9), pages 852-866, October.
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2020.
"Kernel smoothed probability mass functions for ordered datatypes,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(3), pages 563-586, July.
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2017. "Kernel Smoothed Probability Mass Functions for Ordered Datatypes," Department of Economics Working Papers 2017-14, McMaster University.
- Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
- Karen X. Yan & Qi Li, 2018. "Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model," JRFM, MDPI, vol. 11(3), pages 1-10, August.
- Fan, Yanqin & Hou, Lei & Yan, Karen X., 2018. "On the density estimation of air pollution in Beijing," Economics Letters, Elsevier, vol. 163(C), pages 110-113.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2017.
"Kernel Smoothed Probability Mass Functions for Ordered Datatypes,"
Department of Economics Working Papers
2017-14, McMaster University.
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2020. "Kernel smoothed probability mass functions for ordered datatypes," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(3), pages 563-586, July.
Cited by:
- Ben O’Neill, 2022. "Smallest covering regions and highest density regions for discrete distributions," Computational Statistics, Springer, vol. 37(3), pages 1229-1254, July.
- Senga Kiessé, Tristan & Durrieu, Gilles, 2024. "On a discrete symmetric optimal associated kernel for estimating count data distributions," Statistics & Probability Letters, Elsevier, vol. 208(C).
- Pang Du & Christopher F. Parmeter & Jeffrey S. Racine, 2021. "Shape Constrained Kernel PDF and PMF Estimation," Department of Economics Working Papers 2021-05, McMaster University.
Articles
- Fang, Zheng & Li, Qi & Yan, Karen X., 2023.
"A Simple Nonparametric Approach For Estimation And Inference Of Conditional Quantile Functions,"
Econometric Theory, Cambridge University Press, vol. 39(2), pages 290-320, April.
Cited by:
- Zhang, Feipeng & Xu, Yixiong & Fan, Caiyun, 2023. "Nonparametric inference of expectile-based value-at-risk for financial time series with application to risk assessment," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Liu, Dandan & Wang, Qiaoyu & Yan, Karen Xueqing, 2022.
"Oil supply news shock and Chinese economy,"
China Economic Review, Elsevier, vol. 73(C).
Cited by:
- Chen, Lin & Wen, Fenghua & Zhang, Yun & Miao, Xiao, 2023. "Oil supply expectations and corporate social responsibility," International Review of Financial Analysis, Elsevier, vol. 87(C).
- Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.
- Mohsin, Muhammad & Jamaani, Fouad, 2023. "A novel deep-learning technique for forecasting oil price volatility using historical prices of five precious metals in context of green financing – A comparison of deep learning, machine learning, an," Resources Policy, Elsevier, vol. 86(PA).
- Yu Sun & Karen X. Yan & Qi Li, 2021.
"Estimation of average treatment effect based on a semiparametric propensity score,"
Econometric Reviews, Taylor & Francis Journals, vol. 40(9), pages 852-866, October.
Cited by:
- Difang Huang & Jiti Gao & Tatsushi Oka, 2022.
"Semiparametric Single-Index Estimation for Average Treatment Effects,"
Monash Econometrics and Business Statistics Working Papers
10/22, Monash University, Department of Econometrics and Business Statistics.
- Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Papers 2206.08503, arXiv.org, revised Apr 2024.
- Difang Huang & Jiti Gao & Tatsushi Oka, 2022.
"Semiparametric Single-Index Estimation for Average Treatment Effects,"
Monash Econometrics and Business Statistics Working Papers
10/22, Monash University, Department of Econometrics and Business Statistics.
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2020.
"Kernel smoothed probability mass functions for ordered datatypes,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(3), pages 563-586, July.
See citations under working paper version above.
- Jeffrey S. Racine & Qi Li & Karen X. Yan, 2017. "Kernel Smoothed Probability Mass Functions for Ordered Datatypes," Department of Economics Working Papers 2017-14, McMaster University.
- Sun, Yu & Yan, Karen X., 2019.
"Inference on Difference-in-Differences average treatment effects: A fixed-b approach,"
Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
Cited by:
- Luo, Haotian & Hu, Qing, 2024. "A re-examination of the influence of human capital on urban-rural income gap in China: College enrollment expansion, digital economy and spatial spillover," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 494-519.
- Kan Wang & Li Lei & Shuai Qiu & Sen Guo, 2020. "Policy Performance of Green Lighting Industry in China: A DID Analysis from the Perspective of Energy Conservation and Emission Reduction," Energies, MDPI, vol. 13(22), pages 1-18, November.
- Yahui Wang & Qingyuan Yang & Liangjie Xin & Jingyu Zhang, 2019. "Does the New Rural Pension System Promote Farmland Transfer in the Context of Aging in Rural China: Evidence from the CHARLS," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
- Qingshan Ma & Yuanmeng Zhang & Kexin Yang & Lingyun He, 2021. "Have China’s Pilot Free Trade Zones Improved Green Total Factor Productivity?," IJERPH, MDPI, vol. 18(21), pages 1-20, November.
- Karen X. Yan & Qi Li, 2018.
"Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model,"
JRFM, MDPI, vol. 11(3), pages 1-10, August.
Cited by:
- Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2023.
"Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure,"
Papers
2303.13218, arXiv.org.
- Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2024. "Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1026-1040, July.
- Thanasis Stengos, 2019. "Nonparametric Econometric Methods and Applications," JRFM, MDPI, vol. 12(4), pages 1-3, November.
- Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
- Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2023.
"Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure,"
Papers
2303.13218, arXiv.org.
- Fan, Yanqin & Hou, Lei & Yan, Karen X., 2018.
"On the density estimation of air pollution in Beijing,"
Economics Letters, Elsevier, vol. 163(C), pages 110-113.
Cited by:
- Kuznetsov, G.V. & Malyshev, D. Yu & Kostoreva, Zh.A. & Syrodoy, S.V. & Gutareva, N. Yu., 2020. "The ignition of the bio water-coal fuel particles based on coals of different degree metamorphism," Energy, Elsevier, vol. 201(C).
- Xu, Bing & Lin, Weiran & Taqi, Syed Ali, 2020. "The impact of wind and non-wind factors on PM2.5 levels," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
- Weiran Lin & Qiuqin He, 2021. "The Influence of Potential Infection on the Relationship between Temperature and Confirmed Cases of COVID-19 in China," Sustainability, MDPI, vol. 13(15), pages 1-11, July.
More information
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Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (1) 2017-11-12. Author is listed
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