Trade data are typically reported at the level of regions or countries and are therefore
aggregates across space. In this paper, we investigate the sensitivity of standard
gravity estimation to spatial aggregation.
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.
We estimate location values for single family houses by local polynomial regressions (LPR), a semi-parametric procedure, using a standard housing price and characteristics dataset.
Metro Business Cycles by Maria A. Arias, Charles S. Gascon, and David E. Rapach
Working Paper 2014-046B posted November 2014, updated February 2015
We construct monthly economic-activity indices for 51 U.S. metropolitan statistical
areas beginning in 1990. Each index is based on a dynamic factor model for 14 variables
measuring various aspects of economic activity in a metro area.
This paper explores the contribution of the structural transformation and urbanization process in the housing market in China. City migration flows combined with an
inelastic land supply, due to entry restrictions, has raised house prices.
The nature of the business cycle appears to have changed. Prior to the 1990s, recoveries
from recessions were quick and steep; after the past three recessions, however, recoveries were
weak and prolonged.
Both global and regional economic linkages have strengthened substantially over the
past quarter century. We employ a dynamic factor model to analyze the implications of these
linkages for the evolution of global and regional business cycles.
In this paper, we study the welfare consequences of imposing alternative regimes of
competition between two local governments that compete for mobile firms which have
private information on their degree of mobility.
A large literature studies the information contained in national-level economic
indicators, such as financial and aggregate economic activity variables, for forecasting and
nowcasting U.S. business cycle phases (expansions and recessions.)
This paper examines a topic of increasing interest, the potential determinants of extensive (i.e., number of firms) and intensive (i.e., average exports per firm) trade margins, using state-level trade to 190 countries. In addition to distance and country size, other factors affecting trade costs and export demand are explored.
Much of the literature examining the effects of oil shocks asks the question ―What is an oil shock? and has concluded that oil-price increases are asymmetric in their effects on the US economy. That is, sharp increases in oil prices affect economic activity adversely, but sharp decreases in oil prices have no effect.
The cost of living varies as much across regions as it does across time, but researchers have only begun to acknowledge the importance of controlling for regional differences in the cost of living when conducting cross-sectional analyses.
Ethnic networks—as proxies for information networks—have been associated with higher levels of international trade. Previous research has not differentiated between the roles of these networks on the extensive and intensive margins.
This paper estimates the dynamics of the personal-bankruptcy rate over the business cycle by exploiting large cross-state variation in recessions and bankruptcies. We find that bankruptcy rates are significantly higher than normal during a recession and rise as a recession persists.
We extend earlier models of economic growth and development by exploring the effect of economic freedom on U.S. state employment growth. We find that states with greater economic freedom – defined as the protection of private property and private markets operating with minimal government interference – experienced greater rates of employment growth.
This paper examines the impacts of banking market structure and regulation on economic growth using
new data on banking market concentration and manufacturing industry-level growth rates for U.S. states during 1899-1929—a period when the manufacturing sector was expanding rapidly and restrictive branching laws segmented the U.S. banking system geographically.
Many studies have documented disparities in the regional responses to monetary policy shocks. However, because of computational issues, the literature has often neglected the richest level of disaggregation: the city. In this paper, we estimate the city-level responses to monetary policy shocks in a Bayesian VAR.
Recent state-wide smoking bans are likely the most significant regulations imposed on the casino gaming industry. We explore the effects that the Illinois state smoking ban has had on Illinois casino revenue and attendance as well as casino tax revenue.
This paper develops a framework for inferring common Markov-switching components in a panel data set with large cross-section and time-series dimensions. We apply the framework to studying similarities and differences across U.S. states in the timing of business cycles.