Xin Geng - University of Colorado Boulder

Xin Geng
Department of Economics
Campus Box 256
University of Colorado
Boulder, CO 80309-0256
Placement Director:
Graduate Administrator:
Email: [email protected]
Cell: +1(909)-374-4897
Brian Cadena
Patricia Holcomb
[email protected]
[email protected]
Phone: +1(303)492-7908
Phone: +1(303)492-6396
Ph.D. in Economics, University of Colorado
Thesis Title: “Essays on Semiparametric Estimation of Structural Models”
Principal Thesis Adivisor: Professor Carlos Martins-Filho
Expected Completion Date: June 2015
M.A. in Economics, University of Colorado, GPA: 3.9
Ph.D. student in Economics, Claremont Graduate University, GPA: 4.0
B.A. in Economics, Central University of Finance and Economics, Beijing, China
B.A. in Mathematics, Central University of Finance and Economics, Beijing, China
GPA: 93/100
2010 to present
Research Fields
Econometrics, Nonparametric Estimation
Job Market Paper
“Estimation of Semiparametric Regression in Triangular Systems”
Abstract: We propose a kernel based estimator for a partially linear model in triangular systems where
endogenous variables appear both in nonparametric and linear component functions. This model has a wide
range of applications in many fields of economics. Compared with the two alternative estimators currently
available in the literature for such model, this estimator has an explicit functional form, is much easier to
implement and may significantly outperform those in finite sample simulation. Our estimator was inspired
by the control function approach of Newey et al. (1999) and initially proposed by Martins-Filho
and Yao
(2012). It builds on the additive regression estimation by Kim et al. (1999). We establish: (i) n asymptotic
normality of the estimator for the parametric component, and (ii) consistency and the uniform convergence
rate of the estimator for the nonparametric component. In addition, for statistical inference, a consistent
estimator for the covariance of the limiting distribution of the parametric estimator is also provided. Various
intermediate results will also be of use to theorists.
Working Papers
“Technology Downgrading, Exporting and Heterogeneous Firms”
Abstract: This paper presents a general equilibrium model in which homogeneous individuals make occupational choices to be workers or entrepreneurs of different ability levels, and entrepreneurs choose a
technology from a set of competing technologies and decide whether to export. In equilibrium, the interaction between individuals homogeneous ability levels, the characteristics of competing technologies, and
international trade costs gives rise to firm heterogeneity in productivities. This paper tries to explain the
response of non-exporters to trade liberalization in terms of technology adoption. Non-exporters would
choose to downgrade their technology since they might not be able to afford the fixed cost of high technology due to the increased import competition and “tougher” environment caused by trade liberalization.
Besides that, trade liberalization shrinks the skill premium for the low ability entrepreneurs relative to raw
labor, while it increases the premium for the high ability entrepreneurs. Aggregate welfare and welfare
for raw labor and high ability entrepreneurs are improved, leaving the change of welfare for low ability
entrepreneurs unclear.
“The Fallacy of the Resource Curse in Arab Oil Economies: Why Institutions Matter” (with Professor Mohammed
Abstract: This paper examines the importance of institutions in oil exporting economies. We chose two
countries from North Africa (Algeria and Libya) and three countries from the Gulf (Saudi Arabia, United
Arab Emirates and Kuwait). While the resource curse has been studied extensively over the years, we
argue that oil does not necessarily lead to a decline in economic growth. This holds true in the resource
poor countries of North Africa or the resource rich countries of the Gulf. The lack of the proper political
institutions leads to a decline in economic growth. We submit that growth depends on whether oil was
discovered before or after the proper institutions were in place. We use panel data to test the “oil curse”
hypothesis with Norway as a control country. Our results show no evidence of the resource curse in a
sample of countries including Norway. Oil exporting countries present a variety of characteristics not only
for the two types of oil they produce. A few of these include: the amount of reserves, population base,
and their daily production. The five OPEC countries in our study (Algeria, Libya, Saudi Arabia, UAE, and
Kuwait) performed consistent with the resource curse thesis. They did not perform well economically. Our
paper presents empirical evidence along with a regression model to show that oil had nothing to do with
their poor economic growth and development.
Teaching and Research Experience
University of Colorado, Boulder, CO
Instructor, Math Tools for Economists (II)
Undergraduate Tutor of the Economics Department
Teaching Assistant, Introduction to Economics
Spring 2012 to present
Fall 2011
Spring 2011, Summer 2011
Claremont Graduate University, Claremont, CA
Research Assistant for Professor Thomas Borcherding
Fall 2009, Spring 2010
Fellowships and Awards
Sieglinde Talbott Haller Endowed Economics Scholarship Fund Award
Graduate School Dissertation Fellowship, University of Colorado, Boulder
Graduate Assistantship, University of Colorado, Boulder
Meritorious Winner of Interdisciplinary Contest in Modeling in North America
The First Prize in Beijing National University Mathematics Modeling Contest
China National Scholarship
2010 to present
Professor Carlos Martins-Filho (Advisor)
Department of Economics
University of Colorado at Boulder
[email protected]
Assistant Professor Xiaodong Liu
Department of Economics
University of Colorado at Boulder
[email protected]
Professor Donald Waldman
Department of Economics
University of Colorado at Boulder
[email protected]