Muriel Hernández, Beatriz (1999): Un modelo de coyuntura para la actividad industrial boliviana. Published in: Revista de Análisis Económico UDAPE , Vol. 17, : pp. 1-19.
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Abstract
The objective of this study is to evaluate and quantify the behavior of the industrial sector in Bolivia, identifying its trend and cyclical components, and projecting its behavior into the future. Due to the limited information available, the physical volume index of the manufacturing industry (IQVF), which has quarterly data since 1982, has been chosen as a short-term indicator. The methodology used is based on the following aspects. First, the series (in logarithms and seasonally adjusted by the X-11 method) is based on the specification of the ARIMA model that best fits the data, according to the Akaike and Schwarz criteria. Subsequently, the index is projected for four periods at the front of the sample, evaluating the predictive capacity of the model through the Theil inequality coefficient (U). Finally, the IQVF series is disaggregated into its trend and cyclical components, using the Hodrick and Prescott and Band Pass filters. The decomposition of the series allows us to clearly identify two long-term states in its underlying evolution. The first, which occurred in the eighties, marks an accelerated growth of the index, and the second, which occurs in the nineties, shows a relative stagnation in its development, with no prospect of improvement for 1999. The diagnosis of the industrial indicator as described above does not show the causes or determinants of this behavior; however, it does show the need to develop policies that will effectively stimulate the sector. To this end, it is advisable to study in more detail the main factors affecting the manufacturing industry, in order to stimulate those that are positive, such as physical and human capital, and to combat those that are negative, such as smuggling.
Item Type: | MPRA Paper |
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Original Title: | Un modelo de coyuntura para la actividad industrial boliviana |
English Title: | A conjuncture model for bolivian industry activity |
Language: | Spanish |
Keywords: | Business cycle; Manufacturing industry; Time series; Industrial growth |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles L - Industrial Organization > L6 - Industry Studies: Manufacturing > L60 - General O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O14 - Industrialization ; Manufacturing and Service Industries ; Choice of Technology O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O54 - Latin America ; Caribbean |
Item ID: | 124591 |
Depositing User: | Beatriz Muriel |
Date Deposited: | 21 May 2025 11:00 |
Last Modified: | 21 May 2025 11:00 |
References: | Baxter, M., y R. G. King, (1995), “Measuring Business-cycles: Approximate Band-Pass Filters for economics Series,” National Bureau of Economic Research, Working Paper n° 5022. Espasa, A., y J. R. Cancelo, (1993), Métodos Cuantitativos para el Análisis de la Coyuntura Económica, Alianza Editorial, S. A., Madrid, España. Green, W., (1993), Econometric Analysis, New York. Guay,A., y P. St-Amant, (1997), “Do the Hodrick-Prescott and Baxter-King Filters Provide a Good Approximation of Business Cycles,” Center for Research on Economic Fluctuation and Employment, Working Paper n° 53. Hamilton, J., D., (1994), Time Series Analysis, Princeton University Press, Princeton, New Jersey, United Sates. Hodrick, R., J., y E. C. Prescott, (1997), “Post-war U.S. Business Cycles: An Empirical Investigation,” Journal of Money, Credit, and Banking 29: 1–16. MacKinnon, J., G., (1991), “Critical Values for Cointegration Tests,” Long-run Economic Relationships: Readings in Cointegration, edited by R.F.Engle and C.W.J. Granger, Oxford University Press, United Sates. Marvall, A., s.f., “La Extracción de Señales y el Análisis de Coyuntura,” Documento de Trabajo n° 8903, Banco de España, España. Melis M., F., (1989), “Sobre la Hipótesis de Componentes y la Extracción de la Señal de Coyuntura sin Previa Desetacionalización,” Revista Española de Economía 6: 131-163. -----------------,(1991), “La Estimación del Ritmo de Variación en Series Económicas,” Estadística Española, Instituto Nacional de Estadística, Madrid, España. Mill, T., C., (1994), Time Series Techniques for Economists. Cambridge University Press. Great Britain. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/124591 |