Business Volatility, Job Destruction, and Unemployment
Steven J. Davis, R. Jason Faberman, John Haltiwanger, Ron S. Jarmin, Javier Miranda
American Economic Journal: Macroeconomics,
No. 2,
2010
Abstract
Unemployment inflows fell from 4 percent of employment per month in the early 1980s to 2 percent by the mid 1990s. Using low frequency movements in industry-level data, we estimate that a 1 percentage point drop in the quarterly job destruction rate lowers the monthly unemployment inflow rate by 0.28 points. By our estimates, declines in job destruction intensity account for 28 (55) percent of the fall in unemployment inflows from 1982 (1990) to 2005. Slower job destruction accounts for similar fractions of long-term declines in the rate of unemployment.
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Differences in Labor Supply to Monopsonistic Firms and the Gender Pay Gap: An Empirical Analysis Using Linked Employer‐Employee Data from Germany
Boris Hirsch, Thorsten Schank, Claus Schnabel
Journal of Labor Economics,
No. 2,
2010
Abstract
This article investigates women’s and men’s labor supply to the firm within a semistructural approach based on a dynamic model of new monopsony. Using methods of survival analysis and a large linked employer‐employee data set for Germany, we find that labor supply elasticities are small (1.9–3.7) and that women’s labor supply to the firm is less elastic than men’s (which is the reverse of gender differences in labor supply usually found at the level of the market). Our results imply that at least one‐third of the gender pay gap might be wage discrimination by profit‐maximizing monopsonistic employers.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
IWH Discussion Papers,
No. 16,
2009
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts
based on a number of forecasting techniques from the literature using a panel of
ten industrialized countries during the period of 1988 to 2007. To capture expected
inflation we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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Great Moderation at the Firm Level? Unconditional vs. Conditional Output Volatility
Claudia M. Buch, Jörg Döpke, K. Stahn
B.E. Journal of Economic Analysis and Policy,
No. 1,
2009
Abstract
We test whether there has been a “Great Moderation“ of output volatility at the firm level. The multifactor residual model proposed by Pesaran (2006) is used to isolate the idiosyncratic component of firms' sales growth from macroeconomic developments. This methodology is applied to a balanced panel of about 1,200 German firms covering a 35-year period (1971-2005). Our research has three main findings. First, unconditional firm-level volatility and aggregate output volatility have seen similar downward trends. Second, conditional, idiosyncratic firm-level volatility does not exhibit a downward trend. Third, there is a positive link between growth and volatility at the firm level.
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A Professor Like Me: The Influence of Instructor Gender on College Achievement
Florian Hoffmann, Philip Oreopoulos
Journal of Human Resources,
No. 2,
2009
Abstract
Many wonder whether teacher gender plays an important role in higher education by influencing student achievement and subject interest. The data used in this paper help identify average effects from male and female college students assigned to male or female teachers. We find instructor gender plays only a minor role in determining college student achievement. Nevertheless, the small effects provide evidence that gender role models matter to some college students. A same-sex instructor increases average grade performance by at most 5 percent of its standard deviation and decreases the likelihood of dropping a class by 1.2 percentage points.
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