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Are polarized courts dangerous for litigation? Evidence from French labor courts

Published online by Cambridge University Press:  11 March 2021

Umberto Nizza*
Affiliation:
University of Verona, Verona, Italy
*
Corresponding author. Email: umberto.nizza@univr.it
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Abstract

France relies on unionized judges to assess labor cases in court. The economic literature advocates that judges pertaining to the more belligerent unions alter judicial equilibrium, foster lower settlements, avoid trials, and intensify a professional judge's interventions. This paper intends to test whether such speculations are accurate. The empirical evidence provided here suggests that such fears are not grounded. Using a database on French employment courts, between 2012 and 2016, we show that judges from the most adversarial trade unions foster conciliation and reduce the number of dropped legal cases. The lack of statistically significant impact of unions on the judicial institution's dysfunctions is evident: the labor judiciary's alleged polarization does not drive the rate of appeals and the number of professional judges' intervention. Finally, the judicial malfunctions appear to be driven by institutional distortions and local socio-economic conditions.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © Millennium Economics Ltd 2021
Figure 0

Figure 1. A schematic description of all judicial phases before the Conseil de prud'hommes.

Figure 1

Table 1. Descriptive statistics

Figure 2

Figure 2. To the left, a crop of the map showing the diffusion of phylloxéra among cantons in 1882. In the middle, the distribution of wine-producing zones in 1863. On the right, the judicial geography of CPH nowadays. Sources: Girard (1883), Bibliothèque Nationale de France, and Qgis/Ministry of Justice.

Figure 3

Table 2. Estimation results of the first-stage regressions and relative tests

Figure 4

Table 3. Two-stage least squared estimation results

Figure 5

Table 4. Least trimmed instrumental quantile regression's estimation results

Figure 6

Table A1. Values assigned according to phylloxérian infection and vineyards

Figure 7

Table A2. First-stage regressions using vineyards’ instrumental variable