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Impact of an Employment Policy on Companies' Expectations Fulfilment

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  • Javier Espinosa-Brito
  • Carlos Yevenes-Ortega
  • Gonzalo Franetovic-Guzman
  • Diana Ochoa-Diaz

Abstract

We study the effect of Chile's Employment Protection Law (Ley de Protecci\'on del Empleo, EPL), a law which allowed temporal suspensions of job contracts in exceptional circumstances during the COVID-19 pandemic, on the fulfillment of firms' expectations regarding layoffs. We use monthly surveys directed at a representative group of firms in the national territory. This panel data allows to follow firms through time and analyze the match between their expectations and the actual realization to model their expectation fulfilment. We model the probability of expectation fulfilment through a logit model that allows for moderation effects. Results suggest that for those firms that expected to fire workers, for the firms that used the EPL, the odds they finally ended up with a job separation are 50% of the odds for those that did not used the EPL. Small firms increase their probability of expectation fulfilment in 11.9% when using the EPL compared to large firms if they declared they were expecting to fire workers.

Suggested Citation

  • Javier Espinosa-Brito & Carlos Yevenes-Ortega & Gonzalo Franetovic-Guzman & Diana Ochoa-Diaz, 2022. "Impact of an Employment Policy on Companies' Expectations Fulfilment," Papers 2204.05500, arXiv.org.
    • Handle: RePEc:arx:papers:2204.05500
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    1. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    2. F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2.
    3. Miyakawa, Daisuke & Oikawa, Koki & Ueda, Kozo, 2021. "Firm Exit during the COVID-19 Pandemic: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 59(C).
    4. Michael D. Hurd & Kathleen McGarry, 2002. "The Predictive Validity of Subjective Probabilities of Survival," Economic Journal, Royal Economic Society, vol. 112(482), pages 966-985, October.
    5. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    6. repec:bla:obuest:v:62:y:2000:i:0:p:855-83 is not listed on IDEAS
    7. Nerlove, Marc, 1983. "Expectations, Plans, and Realizations in Theory and Practice," Econometrica, Econometric Society, vol. 51(5), pages 1251-1279, September.
    8. Mark Koetse & Arno Vlist & Henri Groot, 2006. "The Impact of Perceived Expectations and Uncertainty on Firm Investment," Small Business Economics, Springer, vol. 26(4), pages 365-376, May.
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