Dukpa Kim

Curriculum Vitae

Academic Positions:

Assistant Professor, Department of Economics, University of Virginia, August 2007 ~ present

Visiting Assistant Professor, Department of Economics, University of Michigan, June 2010 ~ June 2011

Fields: Econometrics, Time-Series Econometrics

Email: dukpa@virginia.edu

Phone: (434) 924-7581

Fax: (434) 982-2904

Address:

Department of Economics
University
of Virginia

Monroe Hall, McCormick Road
Charlottesville, VA 22903

Mailing Address for USPS:

Department of Economics
University of Virginia
P.O.
Box 400182

Charlottesville, VA 22904

 

 

Working Papers:

 

“Likelihood Ratio Tests for Cointegration, Cobreaking and Cotrending” (available soon) with Josep Lluís Carrion-i-Silvestre

 

Time Instability of the U.S. Monetary System: Multiple Break Tests and Reduced Rank TVP VAR January 2012 with Yohei Yamamoto

 

“Divorce Law Reforms and Divorce Rates in the U.S.: An Interactive Fixed Effects Approach” revised, April 2012 with Tatsushi Oka

 

“Common Local Breaks in Time Trends for Large Panel Data” September 2010

 

“Likelihood Ratio Based Joint Test for the Exogeneity and the Relevance of Instrumental Variables” with Yoonseok Lee

 

 

Publications:

 

“Unit Root Tests Allowing for a Break in the Trend Function at an Unknown Time under Both the Null and Alternative Hypotheses”, with Pierre Perron, Journal of Econometrics (2009) 148, 1-13. [Matlab Codes]

 

“Assessing the Relative Power of Structural Break Tests Using a Framework Based on the Approximate Bahadur Slope”, with Pierre Perron, Journal of Econometrics (2009) 149, 26-51.

 

“GLS-based Unit Root Tests with Multiple Structural Breaks under Both the Null and Alternative Hypotheses”, with Josep Lluís Carrion-i-Silvestre and Pierre Perron, Econometric Theory (2009) 25, 1754-1792.

 

“Improved and Extended End-of-Sample Instability Tests Using a Feasible Quasi-Generalized Least Squares Procedure”, Econometric Theory (2010) 26, 994-1031.

 

“Estimating a Common Deterministic Time Trend Break in Large Panels with Cross-sectional Dependence”, Journal of Econometrics (2011) 164, 310-330.

 

Last Update: 30 January 2012