We provide new empirical evidence of a relationship between asset prices and trade-
Induced international R&D spillovers; in particular, we find that pairs of countries
that share more research and development exhibit more highly correlated stock market
returns and less volatile exchange rates.
This paper asked the question of whether the behavior and compensation of interlocked executives
and non-independent board of directors are consistent with the hypothesis of governance
problem or whether this problem is mitigated by implicit and market incentives.
Empirical work on asset prices suggests that pricing kernels have to be almost perfectly correlated across countries. If they are not, real exchange rates are too smooth to be consistent with high Sharpe ratios in asset markets.
Are production factors allocated efficiently across countries? To differentiate misallocation from factor intensity differences, we construct a new dataset of estimates for the output shares of natural resources for a large panel of countries.
College-educated workers entering the labor market in 1940 experienced a 4-fold increase in
their labor earnings between the ages of 25 and 55; in contrast, the increase was 2.6-fold for
those entering the market in 1980. For workers without a college education these figures are
3.6-fold and 1.5-fold, respectively.
Why has the U.S. black/white earnings gap remained around 40 percent for nearly 40 years? This paper's answer consists of a model of skill accumulation and neighborhood formation featuring a trap: Initial racial inequality and racial preferences induce racial segregation and asymmetric skill accumulation choices that perpetuate racial inequality.
Mortgages are long-term loans with nominal payments. Consequently, under incomplete
asset markets, monetary policy can affect housing investment and the economy through the
cost of new mortgage borrowing and real payments on outstanding debt.
The interest rate at which US firms borrow funds has two features: (i) it moves in a countercyclical fashion and (ii) it is an inverted leading indicator of real economic activity: low interest rates forecast booms in GDP, consumption, investment, and employment.
We compare methods to measure comovement in business cycle data using multi-level dynamic
factor models. To do so, we employ a Monte Carlo procedure to evaluate model performance
for different specifications of factor models across three different estimation procedures.
We study the endogenous choice to accept fiat objects as media of exchange and their implications for nominal exchange rate determination. We consider a two-country environment with two currencies which can be used to settle any transactions.
The supply and demand of credit are not always well aligned and matched, as is reflected
in the countercyclical excess reserve-to-deposit ratio and interest spread between the lending
rate and the deposit rate.
What determines the earnings of a worker relative to his peers in the same
occupation? What makes a worker fail in one occupation but succeed in another?
More broadly, what are the factors that determine the productivity of a worker-occupation
match? In this paper, we propose an empirical measure of skill mismatch
for a worker-occupation match, which sheds light on these questions.
Continued consolidation of the U.S. banking industry and general increase in the size of banks has prompted some policymakers to consider policies to discourage banks from getting larger, including explicit caps on bank size.
This paper analyzes the sources of the racial difference in the intergenerational transmission of human
capital by developing and estimating a dynastic model of parental time and monetary inputs in early childhood with endogenous fertility, home hours, labor supply, marriage, and divorce.
This paper investigates the effects of the Sarbanes-Oxley Act (SOX) on CEO compensation,
using panel data constructed for the S&P 1500 firms on CEO compensation,
financial returns, and reported accounting income.
As an alternative to ordinary least squares (OLS), we estimate location values for single family houses using a standard housing price and characteristics dataset by local polynomial regressions (LPR), a semi-parametric procedure.