The Economics Department

Haiqing Xu


Associate ProfessorPh.D., Pennsylvania State University

Haiqing Xu

Contact

  • Phone: 512-475-8528
  • Office: BRB 3.160
  • Office Hours: Fall 2019 | W 9:00 AM-12:00 PM
  • Campus Mail Code: C3100

Biography


Haiqing Xu earned his B.A. in Management (2000), M.S. in Economics (2005) from Peking University, China, and Ph.D in Economics (2011) from the Penn State University. 

Xu's research is in theoretical and applied econometrics. His recent interests have focused on identification and estimation in nonseparable models with discrete endogeneous variables and on large discrete games with asymmetric information. The former applies to policy evaluation and the structrual IO, and the latter to social interactions. 

Courses


ECO 341K • Introduction To Econometrics

34357 • Fall 2017
Meets TTH 3:30PM-5:00PM JGB 2.218
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INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

33385 • Spring 2016
Meets TTH 2:00PM-3:30PM GSB 2.126
QR

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

33595 • Spring 2015
Meets TTH 12:30PM-2:00PM BUR 208
QR

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

33600 • Spring 2015
Meets TTH 2:00PM-3:30PM BUR 134
QR

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

34815 • Spring 2014
Meets TTH 12:30PM-2:00PM CLA 1.104
QR

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

34820 • Spring 2014
Meets TTH 2:00PM-3:30PM CLA 0.126
QR

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

34365 • Spring 2013
Meets MWF 11:00AM-12:00PM CLA 1.104
QR

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

ECO 341K • Introduction To Econometrics

34280 • Spring 2012
Meets TTH 12:30PM-2:00PM ART 1.110
QR

INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

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