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Papers Containing Keywords(s): 'econometrician'

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Center for Economic Studies - 19

Ordinary Least Squares - 16

Total Factor Productivity - 15

Standard Industrial Classification - 15

National Science Foundation - 14

Bureau of Labor Statistics - 13

Longitudinal Business Database - 13

Census of Manufactures - 12

Bureau of Economic Analysis - 12

Annual Survey of Manufactures - 12

Longitudinal Employer Household Dynamics - 11

National Bureau of Economic Research - 11

Longitudinal Research Database - 10

Employer Identification Numbers - 9

Current Population Survey - 9

Cobb-Douglas - 8

Decennial Census - 8

North American Industry Classification System - 8

Generalized Method of Moments - 7

Alfred P Sloan Foundation - 7

Internal Revenue Service - 7

Business Register - 7

Standard Statistical Establishment List - 7

Metropolitan Statistical Area - 6

Longitudinal Firm Trade Transactions Database - 6

World Bank - 6

Federal Reserve Bank - 6

University of Chicago - 5

Cornell University - 5

Census of Manufacturing Firms - 5

Census Bureau Business Register - 5

Department of Labor - 5

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University of Michigan - 3

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CDF - 3

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Census Bureau Longitudinal Business Database - 3

Business Dynamics Statistics - 3

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Chicago Census Research Data Center - 3

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NBER Summer Institute - 3

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National Institute on Aging - 3

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LEHD Program - 3

Quarterly Journal of Economics - 3

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American Economic Review - 3

Viewing papers 41 through 44 of 44


  • Working Paper

    ARE FIXED EFFECTS FIXED? Persistence in Plant Level Productivity

    May 1996

    Authors: Douglas W Dwyer

    Working Paper Number:

    CES-96-03

    Estimates of production functions suffer from an omitted variable problem; plant quality is an omitted variable that is likely to be correlated with variable inputs. One approach is to capture differences in plant qualities through plant specific intercepts, i.e., to estimate a fixed effects model. For this technique to work, it is necessary that differences in plant quality are more or less fixed; if the "fixed effects" erode over time, such a procedure becomes problematic, especially when working with long panels. In this paper, a standard fixed effects model, extended to allow for serial correlation in the error term, is applied to a 16-year panel of textile plants. This parametric approach strongly accepts the hypothesis of fixed effects. They account for about one-third of the variation in productivity. A simple non-parametric approach, however, concludes that differences in plant qualities erode over time, that is plant qualities f-mix. Monte Carlo results demonstrate that this discrepancy comes from the parametric approach imposing an overly restrictive functional form on the data; if there were fixed effects of the magnitude measured, one would reject the hypothesis of f-mixing. For textiles, at least, the functional form of a fixed effects model appears to generate misleading conclusions. A more flexible functional form is estimated. The "fixed" effects actually have a half life of approximately 10 to 20 years, and they account for about one-half the variation in productivity.
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  • Working Paper

    Evidence on the Employer Size-Wage Premium From Worker-Establishment Matched Data

    August 1994

    Authors: Kenneth R Troske

    Working Paper Number:

    CES-94-10

    In spite of the large and growing importance of the employer size-wage premium, previous attempts to account for this phenomenon using observable worker or employer characteristics have met with limited success. The primary reason for this lack of success has been the lack of suitable data. While most theoretical explanations for the size-wage premium are based on the matching of employer and employee characteristics, previous empirical work has relied on either worker surveys with little information about a worker's employer, or establishment surveys with little information about workers. In contrast, this study uses the newly created Worker-Establishment Characteristic Database, which contains linked employer-employee data for a large sample of manufacturing workers and establishments, to examine the employer size-wage premium. The main results are: 1) Examining the cross-plant distribution of the skill of workers shows that managers with larger observable measures of skill work in large plants and firms with production workers with larger observable measures of skill. 2) Results from reduced form wage regressions show that including measures of the amount or type of capital in a worker's plant eliminates the establishment size-wage premium. 3) These results are robust to efforts at correcting for possible bias in the parameter estimates due to sample selection. While these findings are consistent with neoclassical explanations for the size-wage premium that hypothesize that large employers employ more skilled workers, their primary importance is that they show that the employer size-wage premium can be accounted for with employer-employee matched data. As such, these data lend support to models which emphasize the role of employer-employee matching in accounting for both cross-sectional and dynamic aspects of the wage distribution.
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  • Working Paper

    Asymmetric Learning Spillovers

    April 1993

    Authors: Ron Jarmin

    Working Paper Number:

    CES-93-07

    In this paper, I employ a linear-quadratic model of an industry characterized by learning by doing to examine the implications of asymmetric learning spillovers. Importantly, I show that distribution of spillover benefits can influence market structure in ways that can not be seen in models where spillovers are symmetric. If spillovers are asymmetric, a tradeoff between improved industry performance and increased market concentration can arise which does not occur when they are symmetric. This tradeoff leads to a policy dilemma; whether to promote static or dynamic efficiency in markets where learning is important.
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  • Working Paper

    Learning By Doing And Competition In The Early Rayon Industry

    February 1993

    Authors: Ron Jarmin

    Working Paper Number:

    CES-93-04

    In this paper, I derive a structural econometric model of learning by doing from a dynamic oligopoly game. Unlike previous empirical models, this model is capable of testing hypotheses concerning both the technological nature and behavioral implications of learning. I estimate the model with firm level data from the early U.S. rayon industry. The empirical results show that there were considerable differences across firms in both proprietary and spillover learning. The results also indicate that two of the three firms took their rival's reactions into account when choosing their strategies.
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