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Predicción del Empleo Sectorial y Total en Base a Indicadores de Confianza Empresarial

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  • Pablo Pincheira

Abstract

In this paper we examine the ability that entrepreneurial sentiment indicators may have to predict year-on-year aggregate and sectoral employment in Chile. When focusing only on the predictive relationship between sentiment indicators and y-o-y employment, putting aside the autocorrelation structure of y-o-y employment, we find sound evidence of predictability for the aggregate employment in Chile as well as for y-o-y employment in the construction, industry and retail sectors. When taking into account the autocorrelation structure of y-o-y employment, the additional predictive ability of the sentiment indicators is more elusive and harder to detect. Nevertheless, the evidence shows that at the aggregate level the entrepreneurial sentiment indicator does have predictive ability beyond that contained in a reasonable univariate representation of y-o-y employment in Chile. While the evidence at the sectoral level is not as robust as at the aggregate level, some evidence of predictability is found for the construction sector. In sharp contrast, the evidence of predictability in the mining sector is weak.

Suggested Citation

  • Pablo Pincheira, 2014. "Predicción del Empleo Sectorial y Total en Base a Indicadores de Confianza Empresarial," Working Papers Central Bank of Chile 729, Central Bank of Chile.
  • Handle: RePEc:chb:bcchwp:729
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    File URL: https://www.bcentral.cl/documents/33528/133326/DTBC_729.pdf
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    Cited by:

    1. Nicolás Chanut & Mario Marcel C. & Carlos A. Medel V., 2019. "Can economic perception surveys improve macroeconomic forecasting in Chile?," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 034-097, December.
    2. Jimenez Polanco, Miguel A. & Ramírez Escoboza, Merlym, 2015. "Predicción de la Actividad Económica a Partir de Indicadores de las Encuestas de Opinión Empresarial: Evidencia para República Dominicana [Forecasting Economic Activity using Manufacturing Opinion ," MPRA Paper 75861, University Library of Munich, Germany.
    3. Camila Figueroa S. & Michael Pedersen, 2019. "Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile)," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 098-131, December.

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