Do Firms Really Share Rents with Their Workers?
AbstractWe use matched firm-worker panel data from France and Norway to consider observationally equivalent alternatives to the hypothesis that firms share product market rents with their workers in the form of higher wages. After documenting the main stylized facts, we find that neither the main statistical explanations (group effect in residuals and measurement error) nor sectoral shocks seem to be responsible for the observed correlation. Statistical-economic explanations (endogeneity of profits, omitted variable biases in terms of individual productive characteristics) are slightly more successful, as instrumentation reduces the significance level in France to 89% (via an increase in the standard error of the estimate). The most complete model, with unobserved heterogeneity in both time-invariant firm compensation policy and time-invariant individual characteristics, instrumental variables and a complete set of controls for worker observables and sectoral shocks renders the coefficient insignificant for France and weakens its significance for Norway and the presence of a more mobile labor force in France, although it may also be due to insufficient degrees of freedom.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 330.
Length: 47 pages
Date of creation: Jul 2001
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Other versions of this item:
- David Margolis & Kjell G, Salvanes, 2001. "Do Firms Really Share Rents with their Workers," Working Papers, Centre de Recherche en Economie et Statistique 2001-16, Centre de Recherche en Economie et Statistique.
- Margolis, D.N. & Salvanes, K.G., 2001. "Do Firms Really Share Rents with Their Workers?," Papers, Norwegian School of Economics and Business Administration- 11/2001, Norwegian School of Economics and Business Administration-.
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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