Idrovo Aguirre, Byron and Contreras, Javier (2015): Back-splicing of cement production and characterization of its economic cycle: The case of Chile (1991-2015).
Preview |
PDF
MPRA_paper_67387.pdf Download (949kB) | Preview |
Abstract
Cement is a non-storable input in the medium- and long-term. The evidence in Chile shows that cement supply and demand are in relative equilibrium, so the demand or supply of this input can measure the activity in the structural construction or work. The aim of this paper is to backcast the series of cement production since January 2009, using as an instrument the connection of the series of cement sales, available on a monthly basis from 1991- 2013. To this end, we apply the Johansen cointegration method. Then, a model of state-space is proposed to characterize the cycle of cement production, taking its connection with investment in construction into account. Indeed, cement production, technically, is a leading indicator of sectoral investment.
Item Type: | MPRA Paper |
---|---|
Original Title: | Back-splicing of cement production and characterization of its economic cycle: The case of Chile (1991-2015) |
English Title: | Back-splicing of cement production and characterization of its economic cycle: The case of Chile (1991-2015) |
Language: | English |
Keywords: | cement; construction investment; retropolation; cointegration; state-space; Chile |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation |
Item ID: | 67387 |
Depositing User: | Byron Javier Idrovo Aguirre |
Date Deposited: | 22 Oct 2015 17:21 |
Last Modified: | 27 Sep 2019 13:54 |
References: | Aisen, A., Jones, I. (2009). Modelo de corto plazo para proyectar el empleo de la construcción. Economía Chilena 12, 77-82. Banco Central de Chile. Akaike, H. (1974). A new look at the statistical model identification. IEEE Trans. Automat. Control 19, 716-723. Aranoff, G. (2011). Competitive manufacturing with fluctuating demand and diverse technology: Mathematical proofs and illuminations on industry output-flexibility. Economic Modelling 28, 1441-1450. Banco Central de Chile (2007). La Política Monetaria del Banco Central de Chile en el Marco de Metas de Inflación. Publicaciones del Banco Central de Chile. http://www.bcch.cl Banco Central de Chile (2008). Cuentas Nacionales de Chile. Compilación de Referencia. Bergmann, R., Ludbrook, J., Spooren, W.P. (2000). Different outcomes of the Wilcoxon–Mann–Whitney test from different statistics packages. The American Statistician 54, 72-77. Bravo, H., Luna, L., Correa, V., Ruiz, F. (2002). Desestacionalización de series económicas: el procedimiento usado por el Banco Central de Chile. Banco Central de Chile. Working Paper No. 177. Cámara Chilena de la Construcción (2014). Infraestructura crítica para el desarrollo. Publicaciones de la Cámara Chilena de la Construcción (CChC). http://www.cchc.cl Cámara Chilena de la Construcción (2015). Informe de Macroeconomía y Construcción (MACh). Publicación semestral de la Cámara Chilena de la Construcción (CChC), Informe MACh, No. 42. http://www.cchc.cl Cerda, R., Vergara, R. (2008). Government subsidies and presidential election outcomes: evidence for a developing country. World Development 36, 2470-2488. Clark, P.K. (1989). Trend Reversion in Real Output and Unemployment. Journal of Econometrics 40, 15-32. Contreras-Reyes, J., Idrovo, B. (2011). En busca de un modelo Benchmark Univariado para predecir la tasa de desempleo de Chile. Cuadernos de Economía 30, 105-125. Contreras-Reyes, J.E., Palma, W. (2013). Statistical analysis of autoregressive fractionally integrated moving average models in R. Computational Statistics 28, 2309-2331. Crowder, W.J., Wohar, M.E. (2004). A cointegrated structural VAR model of the Canadian economy. Applied Economics 36, 195-213. Diaz-Alejandro, C. (1985). Good-bye financial repression, hello financial crash. Journal of Development Economics 19, 1-24. Dickey, D.A., Fuller, W.A. (1979). Distribution of the estimates for autoregressive time series with a unit root. Journal of the American Statistical Association 74, 427-431. Duran-Palma, F., Wilkinson, A., Korczynski, M. (2005). Labour reform in a neo-liberal ’protected’ democracy: Chile 1990–2001. The International Journal of Human Resource Managment 16, 65-89. Gupta, R., Kanda, P.T., Modise, M.P., Paccagnini, A. (2015). DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa. Applied Economics 47, 207-221. Hannan, E.J., Quinn, B.G. (1979). The determination of the order of an autoregression. Journal of the Royal Statistical Society B 41, 190-195. Harvey, A. (1990). The Econometric Analysis of Time Series. 2nd ed. Cambridge: MIT Press. Harvey, A. (2011). Modelling the Phillips curve with unobserved components. Applied Financial Economics 21, 7-17. Humphrey, C., Loft, A., Woods, M. (2009). The global audit profession and the international financial architecture: Understanding regulatory relationships at a time of financial crisis. Accounting, organizations and society 34, 810-825. Idrovo, B. (2010). Cuál es el Crecimiento de Largo Plazo de la Economía Chilena? Una Respuesta Formal para una Antigua Pregunta. Cuadernos de Economía 29, 31-55. Idrovo, B. (2012). Inversión en infraestructura pública y crecimiento económico, evidencia para Chile. Cámara Chilena de la Construcción, Documentos de Trabajo, No. 69. Jarque, C.M., Bera, A.K. (1987). A test for normality of observations and regression residuals. International Statistical Review 55, 163-172. Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica 59, 1551-1580. Johansen, S. (1995). Likelihood-based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press, Oxford. Johansen, S., Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration with Applications to the Demand for Money. Oxford Bulletin of Economics and Statistics 52, 169-210. Kim, C.-J., Nelson, C.R. (1999). State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications. MIT Press Books, edition 1, volume 1, number 0262112388, June. Ljung, G.M., Box, G.E. (1978). On a measure of lack of fit in time series models. Biometrika 65, 297-303. MacKinnon, J.G., Haug, A.A., Michelis, L. (1999). Numerical distribution functions of likelihood ratio tests for cointegration. Journal of Applied Econometrics 14, 563-577. Marcel, M., Tokman, M., Valdés, R., Venavides, P. (2001). Balance Estructural: La base de la nueva regla de política fiscal chilena. Economía Chilena 4, 5-27. Norman, G. (1979). Economies of scale in the cement industry. The Journal of Industrial Economics 27, 317-337. Piguillem, F. (2004). Los Ciclos Agregados y los Ciclos de la Construcción. Documento de Trabajo No. 18. Cámara Chilena de la Construcción. Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics 6, 461-464. Siembieda, W., Johnson, L., Franco, G. (2012). Rebuild fast but rebuild better: Chile’s initial recovery following the 27 February 2010 earthquake and tsunami. Earthquake Spectra 28, S621-S641. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/67387 |