Peng Wang
Associate Professor at HKUST Business School
Schools
- HKUST Business School
Links
Biography
HKUST Business School
Academic qualification
- Ph.D. 2009 Economics, New York University
- M.A. 2007 Economics, New York University
- B.A. 2001 Economics, Wuhan University
- B.S. 2002 Mathematics, Wuhan University
Companies
- Associate Professor HKUST Business School (2015)
- Assistant Professor HKUST Business School (2009 — 2015)
Research
Publication
- Identification and Bayesian Estimation of Dynamic Factor Models. Jushan Bai and Peng Wang. Accepted by Journal of Business and Economic Statistics, 33(2): 221-240, 2015.
- Identification Theory for High Dimensional Static and Dynamic Factor Models. Jushan Bai and Peng Wang. Journal of Econometrics, 178(2): 794-804, 2014.
- The Impact of Income on Democracy Revisited. Yi Che, Yi Lu, Zhigang Tao, and Peng Wang. Journal of Comparative Economics, 41(1): 159-169, 2013.
- Residual-Based IV Estimation of Dynamic Panel Data Models with Fixed Effects. Meijin Wang, Peng Wang, and Zhuangxiong Yu. Statistica Neerlandica, 67(2): 121-144, 2013.
- Conditional Markov Chain and its Application in Economic Time Series Analysis. Jushan Bai and Peng Wang. Journal of Applied Econometrics, 26 (5): 715-734, 2011. (Lead article)
- A Generalized Nonlinear IV Unit Root Test for Panel Data with Cross-Sectional Dependence. Shaoping Wang, Peng Wang, Jisheng Yang, and Zinai Li. Journal of Econometrics, 157(1): 101-109, 2010.
- The Empirics of Inflation in China. Gregory Chow and Peng Wang. Economic Letters, 109: 28-30, 2010.
Working Papers
- Large Dimensional Factor Models with a Multi-Level Factor Structure. (Revise and Resubmit at Journal of Econometrics)
- Econometric Analysis of Large Factor Models. With Jushan Bai (Submitted)
- Structural Breaks in Panel Data Models: A Common Distribution Approach. With Wei Liao. (Submitted)
- Estimating the Long-Run Risk: A Panel Data Approach. (Submitted)
- Determinants of World Business Cycles: An Insight from the Dynamic Factor Analysis. With Charles Leung.
- Probabilistic Properties of Conditional Markov Chain Models. With Jushan Bai.
Work in Progress
- Frequency Domain Factor Analysis of Business Cycles. With David Backus and Tom Sargent.
- Automated Estimation of Dynamic Panel Data Models with Interactive Fixed Effects. With Liangjun Su.
- Drifts and Volatilities: New Evidence From Bayesian Model Comparison. With Jun Yu.
- Likelihood Approach to a Class of Weak Instruments Problem. With Jushan Bai.
- Estimating Factor-Augmented DSGE Models Using Principal Components. With Yu-wei Hsieh and Taisuke Nakata.
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Thomas Covert
Thomas Covert studies industrial organization, energy economics, finance, and applied econometrics. His research has appeared in the Journal of Financial Economics. Prior to joining Booth, Covert was a postdoctoral scholar in the University of Chicago Department of Economics & EPIC. Addition...
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