| DMITRY DUBASOV |
Home Address:
100 York Street, 12L
New Haven, CT 06511
(203) 624-6715Birth Date: August 13, 1969
Citizenship: Russian |
Office Address:
Department of Economics
Yale University
P.O. Box 208268
New Haven, CT 06520-8268
Phone: (203)
Fax: (203) 432-5779 |
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| Fields of Concentration |
Financial Economics
Applied Econometrics
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| Comprehensive Examinations
Completed |
May 1998 (Oral) Econometrics, Industrial Organization
May 1997 (Written) Microeconomics and Macroeconomics
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| Dissertation Title |
Essays on Capital Market Imperfections and Investment
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| Committee |
Professor William Brainard
Professor Robert Shiller
Professor Peter Phillips
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| Expected Completion Date |
Summer 2001
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| Degrees |
M.Phil. in Economics, Yale University, 1999
B.Sc. in Mathematics and Statistics, Moscow State University, 1993
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| Fellowships, Honors and Awards |
Yale Dissertation Fellowship, 2000
Cowles Foundation Prize, 1999
Yale University Fellowship, 1996-1998
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| Teaching Experience |
- Teaching Assistant, Financial Markets, Spring 2001, Yale University
Teaching Assistant, Introductory Microeconomics,1999/2000, Yale University
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| Research Experience |
- Research Assistant for Professors Steven Berry and Ariel Pakes, Yale University, 1999.
Created Gauss programs to perform sophisticated LDV estimation routines that had to be
easy to understand and use; conducted extensive computer simulations to evaluate
performance of BLP methods.
Intern, International Monetary Fund, Fiscal Affairs Department, Summer 1996
Processed U.K. National Income Account data and mortality tables to create social wealth
series using FORTRAN code
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| Papers: |
- "Corporate Investment and Financing Constraints," job market paper, Yale
University, 2000.
- "Financial Valuation of U.S. corporations: New Economy or Irrational
Exuberance?" in progress.
- "Multi-Equation Model on NAIRU," mimeo, Yale University 1999.
- "Private Savings and Retirement Pensions: UK Experience," mimeo, IMF,
1996.
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| References: |
- Professor William C. Brainard
Department of Economics
Yale University
P.O. Box 208268
New Haven, CT 06520-8268
Phone: (203) 432-3585
Fax: (203) 432-5779
E-mail: william.brainard@yale.edu
Professor Peter C.B. Phillips
Cowles Foundation
Yale University
P.O. Box 208281
New Haven, CT 06520-8281
Phone: (203) 432-3695
Fax: (203) 432-6167
E-mail: peter.phillips@yale.edu
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- Professor Robert J. Shiller
Cowles Foundation
Yale University
P.O. Box 208281
New Haven, CT 06520-8281
Phone: (203) 432-3708
Fax: (203) 432-6167
E-mail: robert.shiller@yale.edu
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| Dissertation Abstract: |
Efficient capital markets and rational agents are standard
assumptions in economic models. Their implications, however, do not always fit well with
empirical facts. In my dissertation, I use stock market and accounting data on a large
panel of publicly traded U.S. firms to examine two issues often associated with capital
market imperfections. My first essay studies the relation between financing constraints
and fixed investment. The second essay analyzes fundamental versus market values of firms
and provides a consistent methodology that can be used by practitioners to decide if a
particular stock is overvalued.
In the first essay I conduct a firm-level empirical study of the
interaction between investment and financing decisions by U.S. corporations. It is widely
documented that firms cash flows and investments in physical capital are strongly
correlated. A large body of empirical research supports the view that the observed
correlation of investment and cash flows is due to the financing constraints. However,
these studies have a serious shortcoming. Reduced form investment equations that involve
the cash flow variable are routinely estimated in these studies to compare investment-cash
flow sensitivities across different groups of firms. I show that making inference on the
basis of investment-cash flow sensitivities alone can be misleading.
What distinguishes my study from previous research is that the
empirical tests are based on a structural model of investment, which explicitly
incorporates financing constraints. A reduced form investment equation obtained from the
model links firms investments to its stock returns and cash flows. I give a
structural interpretation to the parameters of the investment equation and suggest a
better way of testing for the presence of financing constraints.
The estimation results of previous research are reevaluated from the
perspective of this new approach. In sharp contrast to the conventional interpretation, I
show that the results do not, in fact, provide any evidence of the presence of financing
constraints. I also conduct new tests for the presence of financing constraints using an
unbalanced panel of 4,000 U.S. corporations over the last 20 years that was not available
to (or utilized by) other researchers. I use a wide variety of econometric procedures and
tests but find no evidence of the presence of financing constraints.
In the second essay (in progress) I study a different empirical
phenomenon, the extraordinary growth in securities markets in the U.S. over the last five
years. To what extent can this growth be explained under the assumption of rational and
efficient capital markets? Are there objective reasons for stock prices to be so high? Has
the irrational optimism of the stockholders pushed the market values of U.S. corporations
well above their fundamental values? There is a lot of anecdotal evidence that stocks are
grossly overvalued but no careful and rigorous empirical study of this question has been
done yet.
This paper analyzes a large panel of publicly traded U.S. firms and
compares their fundamental values to the market values of their stocks. The fundamental
value is the present discounted value of the expected earnings stream. The estimates of
the expected earnings streams can be obtained from our own forecasts based on publicly
available past accounting data or from market analysts forecasts. The discount
factor consists of the pure rate-of-time discount appropriate to risk-free streams and the
adjustment for risk (the risk premium). I examine cross-sectional evidence on the
valuation of firms at different times to estimate the time discounts and risk adjustments
necessary to explain observed market values. The panel data is ideally suited for the
analysis of the effects of changes in the cross-sectional distribution of the risk
premium. These effects would not be detected if aggregated data were used instead. I also
examine whether the valuation patterns differ between New Economy"
sectors, such as computers and telecommunications, and traditional sectors.
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