Research Statement
Name: Xi Qu Apply for academic job in Economics
My interest in economics and econometrics
My interest in numbers started with a favorite game of playing cards since my
childhood: Calculating 24. I played the game quite well on account of my strong
desire to study and quick response speed which also helped me enter the primary
school when I was 6-year-old and finish its 6-year program in five years.
I chose to do research in econometrics because of its beauty: it explores structural
economic relationship from actual data. It’s the perfect combination of economics and
statistics. After four years of undergraduate study in School of Economics and double
major in statistics at Peking University, I was admitted to Guanghua School of
management for my master’s study in econometrics. Due to my intense curiosity and
solid background, I received with pride scholarship accessible only to the best few
each year and graduated with the honor “Excellent Graduate of Peking University”.
To further pursue my academic interest in econometrics, in 2008 I accepted the offer
of PhD study at the Ohio State University. Facing a new environment and competing
with brilliant classmates selected from all over the world, pressure and confusion is
inevitable. However, as Albert Einstein once said, the interest is the best teacher; I
received professional training and gained outstanding academic records at the Ohio
State University.
My research background
During my first year at the Ohio State University, I acquired systematical knowledge
in both Micro and Macro economics and passed the qualifier exam with flying scores.
In the second year, I choose Econometrics and Labor economics as my two fields,
further studying how to apply econometric methods to a specific economic
phenomenon. In the Time Series class, my distinguished performance got Professor
Robert de Jong’s attention. We worked together on the paper “Sums of exponentials
of random walks with drift” and it was published in the Journal “Econometric
Theory” in August 2012.
Beginning from the third year, I am working on my research under Professor Lung-fei
Lee as my advisor and focus my research on Spatial Econometrics. This is a new
branch and receives considerable quantities of applications in various economics,
such as regional science, urban economics, labor economics, and industrial
organization, and also some other social science, such as agriculture and geography.
As a top econometrician in this field, Professor Lee taught us his research experience
without reservation. Our joint paper “LM tests for spatial correlation in spatial models
with limited dependent variables” was published in “Regional Science and Urban
Economics” in May 2012 and the following research “Locally most powerful tests for
spatial interactions in the simultaneous SAR Tobit model” is forthcoming in the same
journal. Now I am writing a new paper about estimating a spatial autoregressive
model (SAR) with an endogenous spatial weight matrix. Strict exogeneity of the