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Impacto de las Patentes sobre el crecimiento económico: Un modelo panel cointegrado

  • Jacobo Campo Robledo

    ()

En este artículo se presenta un modelo empírico de datos panel no estacionario y cointegrado para explicar el impacto que tiene la propiedad industrial, medida como Patentes, sobre el PIB de 10 países de América Latina en el periodo 1990 - 2010. Se aplican pruebas de raíces unitarias tradicionales y una prueba de raíz unitaria de última generación, la cual incorpora un quiebre estructural y la dependencia entre las observaciones cross-section, propuesta por Hadri y Rao (2008). A través del test de cointegración de Pedroni (1999, 2000, 2004) se prueba la existencia de una relación de largo plazo entre las variables y se estiman las elasticidades de largo plazo. Los resultados muestran la existencia de una relación positiva entre el nivel de innovación y el PIB.

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Paper provided by SUPERINTENDENCIA DE INDUSTRIA Y COMERCIO in its series ESTUDIOS ECONÓMICOS SIC with number 010091.

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Length: 17
Date of creation: 30 Jul 2012
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Handle: RePEc:col:000458:010091
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  13. Kaddour Hadri & Yao Rao, 2008. "Panel Stationarity Test with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 245-269, 04.
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  17. Dennis Sánchez-Navarro & Jacobo Campo Robledo & Juan Pablo Herrera-Saavedra & Natalia Cantor-Vargas, 2012. "Construcción de un índice de regionalización para el Sistema Nacional de Propiedad Industrial (SPI)," ESTUDIOS ECONÓMICOS SIC 010090, SUPERINTENDENCIA DE INDUSTRIA Y COMERCIO.
  18. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-70, Special I.
  19. Judd, Kenneth L, 1985. "On the Performance of Patents," Econometrica, Econometric Society, vol. 53(3), pages 567-85, May.
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  24. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
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