Simulación Cobb-Douglas: Estados Unidos y México
DOI:
https://doi.org/10.24275/uam/azc/dcsh/ae/2024v39n101/CarbajalPalabras clave:
Productividad total de los factores , Cobb-Douglas, Simulación , México, Estados UnidosResumen
El presente trabajo busca simular la productividad total de los factores siguiendo el proceso originalmente propuesto por Cobb y Douglas (1928). Se llevan a cabo estimaciones con frecuencia anual para Estados Unidos durante dos periodos, es decir, 1899-1992 y 1993-2019. En el caso de México, las estimaciones se efectúan para el periodo 1993-2015. Se encuentra que la distribución del ingreso ha sido favorable al capital durante las décadas recientes, tanto para Estados Unidos como para México. La participación del capital ha crecido en los Estados Unidos de un 25% en 1899-1922 a 89% en 1993-2015, mientras que en México ha sido de 82% durante 1993-2015. La distribución funcional del ingreso requiere un estrecho seguimiento.
Clasificación JEL: E21, E22, E23, E24, E25, E27.
Descargas
Referencias
Barro, R.J. (1991a). Economic Growth in a Cross Section of Countries. The Quarterly Journal of Economics, 106(2), 407-443. https://doi.org/10.2307/2937943
Barro, Robert J., and Sala-i-Martin, X. (2004). Economic Growth. Cambridge: The MIT Press.
Barro, R.J., Sala-i-Martin, X., Blanchard, O.J., and Hall, R.E. (1991b). Convergence Across States and Regions. Brookings Papers on Economic Activity, 1, 107-182. https://doi.org/10.2307/2534639
Berndt, E.R., and Christensen, L.R. (1973). The Internal Structure of Functional Relationships: Separability, Substitution and Aggregation. The Review of Economic Studies, 40(3), 403-410. https://doi.org/10.2307/2296459
Biddle, J. (2012). Retrospectives: The Introduction of the Cobb-Douglas Regression. Journal of Economic Perspectives, 26(2), 223-236. http://dx.doi.org/10.1257/jep.26.2.223
Bureau of Economic Analysis. (without date). Retrieving date January 30, 2023.
Campodónico, H. (2001). Consecuencias del “Shock” Petrolero en el Mercado Internacional a Fines de los Noventa. Proyecto CEPAL/Comisión Europea Promoción del uso Eficiente de la Energía en América Latina. Santiago de Chile: Organización de Naciones Unidas, UN. CEPAL-Comisión Europea-UN. CEPAL. División de Resursos Naturales e Infraestructura. Available at: https://www.cepal.org/es/publicaciones/6379-consecuencias-shock-petrolero-mercado-internacional-fines-noventa
Cobb, C.W., and Douglas, P.H. (1928). A Theory of Production. American Economic Review, 18(1 Supplement), 139–165. Available at: https://www.jstor.org/stable/1811556
Deng, H.M., Wang, C., Cai, W.J., Liu, Y., and Zhang L.X. (2020). Managing the Water-Energy-Good Nexus in China by Adjusting Critical Final Demands and Supply Chains: An Input-Output Analysis. Science of the Total Environment, 720, 137635. https://doi.org/10.1016/j.scitotenv.2020.137635
Fagerberg, J. (2000). Technological Progress, Structural Change and Productivity Growth: a Comparative Study. Structural Change and Economic Dynamics, 11(4), 393-411. https://doi.org/10.1016/S0954-349X(00)00025-4
Felipe, J., and McCombie, J. (2020). The Illusions of Calculating Total Factor Productivity and Testing Growth Models: from Cobb-Douglas to Solow and Romer. Journal of Post Keynesian Economics, 43(3), 470-513. https://doi.org/10.1080/01603477.2020.1774393
Felipe, J., and McCombie, J. (2010). What is Wrong with Aggregate Production Functions. On Temple’s Aggregate Production Functions and Growth Economics. International Review of Applied Economics, 24(6), 665–684. https://doi.org/10.1080/02692171.2010.512146
Felipe, J., and McCombie, J. (2012). Aggregate Production Functions and the Accounting Identity Critique: Further Reflections on Temple’s Criticisms and Misunderstandings. SSRN Electronic Journal, Levy Economics Institute, Working Papers No. 718. http://dx.doi.org/10.2139/ssrn.2055788
Felipe, J., and Adams, F.G. (2005). ‘A Theory of Production.’ The Estimation of the Cobb-Douglas Function: A Retrospective View. Eastern Economic Journal, 31(3), 427–445. Available at: https://www.jstor.org/stable/40326423
Francis, D.C, Karalashvili, N., Maemir, H. and Meza, J.R. (2020). Measuring Total Factor Productivity Using the Enterprise Surveys. A Methodological Note. Policy Research World Bank Working Paper 9491. Available at: http://www.worldbank.org/prwp
Hicks, J.R. (1932). The Theory of Wages. Londres: Macmillan.
INEGI. (2013). Sistema de Cuentas Nacionales de México Fuentes y Metodologías Año Base 2013 Matriz De Insumo-Producto, Ciudad de México: México.
Kmenta, J. (1967). On Estimation of the CES Production Function. International Economic Review, 8(2), 180-189. https://doi.org/10.2307/2525600
Keynes, J.M. (1936). The General Theory of Employment, Interest, and Money. Londres: Macmillan.
Kydland, F.E., and Prescott, E.C. (1982). Time to Build and Aggregate Fluctuations. Econometrica, 50(6), 1345-1370. https://doi.org/10.2307/1913386
Leontief, W.W. (1936). Quantitative Input and Output Relations in the Economic Systems of the United States. The Review of Economics and Statistics, 18(3), 105-125. https://doi.org/10.2307/1927837
Leontief, W.W. (1937). Interrelation of Prices, Output, Savings, and Investment. The Review of Economics and Statistics, 19(3), 109-132. https://doi.org/10.2307/1927343
Leontief, W.W. (1967). An Alternative to Aggregation in Input-Output Analysis and National Accounts. The Review of Economics and Statistics, 49(3), 412-419. https://doi.org/10.2307/1926651
Leontief, W.W. (1970). Environmental Repercussions and the Economic Structure: An Input-Output Approach. The Review of Economics and Statistics, 52(3), 262-271. https://doi.org/10.2307/1926294
Liu, X., and Shi, J. (2020). A New Method for Interindustry Linkage Analysis Based on Demand-Driven and Multisector Input-Output Model and its Application in China’s Manufacturing and Producer Services. Complexity in Economics and Business. 3857981, 1-16. https://doi.org/10.1155/2020/3857981
Mallick, D. (2012). The Role of the Elasticity of Substitution in Economic Growth: A Cross-Country Investigation. Labour Economics, 19(5), 682-694. https://doi.org/10.1016/j.labeco.2012.04.003
Ohlin, B. (1967). Interregional and International Trade. Cambridge, Massachusetts: Harvard University Press.
Pang, W., Xie, T., Wang, Z., and Ma, L. (2022). Digital Economy: An Innovation Driver for Total Factor Productivity. Journal of Business Research, 139, 303-311. https://doi.org/10.1016/j.jbusres.2021.09.061
Pesaran, M.H., and Pesaran, B. (1997). Working with Microfit 4.0: Interactive Econometric Analysis. Oxford: Oxford University Press.
Phelps-Brown, E.H. (1957). The Meaning of the Fitted Cobb-Douglas Function. The Quarterly Journal of Economics, 71(4), 546–560. https://doi.org/10.2307/1885710
Piketty, T. (2014). Capital in the Twenty-First Century. Boston: The Belknap Press of Harvard University Press.
Piketty, T. (2021). Global Income Inequality, 1820-2020: the Persistence and Mutation of Extreme Inequality. Journal of the European Economic Association, 19(6), 3025-3062. https://doi.org/10.1093/jeea/jvab047
Qiu, Y., Han, W., and Zeng, D. (2023). Impact of Biased Technological Progress on the Total Factor Productivity of China’s Manufacturing Industry: the Driver of Sustainable Economic Growth. Journal of Cleaner Production, 409, 137269. https://doi.org/10.1016/j.jclepro.2023.137269
Samuelson, P. (1979). Paul Douglas’s Measurement of Production Functions and Marginal Productivities. Journal of Political Economy, 87(5), 923-939. Available at: https://www.jstor.org/stable/1833076
Sandelin, B. (1976). On the Origin of the Cobb-Douglas Production Function. Economy and History, 19(2), 117-123. https://doi.org/10.1080/00708852.1976.10418933
Skevas, I. (2022). A Novel Modelling Framework for Quantifying Spatial Spillovers on Total Factor Productivity Growth and its Components. American Journal of Agricultural Economics, 105(4), 1221-1247. https://doi.org/10.1111/ajae.12360
Solow, R.M. (1956). A Contribution to the Theory of Economic Growth. Quarterly Journal of Economics, 70(1), 65-94. https://doi.org/10.2307/1884513
Solow, R.M. (1957). Technical Change and the Aggregate Production Function. The Review of Economics and Statistics, 39(3), 312-320. https://doi.org/10.2307/1926047
Velupillai, K. (1973). The Cobb-Douglas or the Wicksell Function? -A comment. Economy and History, 16(1), 111-113. https://doi.org/10.1080/00708852.1973.10418905
Wang, Q., and Ge, S. (2020). Uncovering the Effects of External Demand on China’s Coal Consumption: A Global Input–Output Analysis. Journal of Cleaner Production, 245, 118877, 1-18. https://doi.org/10.1016/j.jclepro.2019.118877
Wicksell, K. (1916). Den ‘Kritiska Punkten’ i Lagen för Jordbrukets Aftagande Produktivitet. Ekonomisk Tidskrift (The Scandinavian Journal of Economics), 18(10), 285-292. Available at: https://www.jstor.org/stable/i280092
Xu, B., Sendra-García, J., Gao, Y., and Chen, X. (2020). Driving Total Factor Productivity: Capital and Labor with Tax Allocation. Technological Forecasting and Social Change, 150, 119782, 1-10. https://doi.org/10.1016/j.techfore.2019.119782
Zellner, A., J. Kmenta & Drèze, J. (1966). Specification and Estimation of Cobb-Douglas Production Function Models. Econometrica, 34(4), 784-795. https://doi.org/10.2307/1910099
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2024 Carolina Carbajal-De-Nova
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
