Predicción de la Actividad Económica a Partir de Indicadores de las Encuestas de Opinión Empresarial: Evidencia para República Dominicana

Jimenez Polanco, Miguel A. and Ramírez Escoboza, Merlym (2015): Predicción de la Actividad Económica a Partir de Indicadores de las Encuestas de Opinión Empresarial: Evidencia para República Dominicana. Published in: Series de Estudios Económicos No. No. 12 (1 December 2015)

Abstract

Manufacturing Surveys conducted by central banks, serve as a support to monetary policy decisions. This research analyzes the predictive power of indicators from EOE manufacturing survey of the Central Bank of the Dominican Republic to predict the economic cycle and to the development of macroeconomic forecasts. Additionally, we made an analysis of the indicators built from the qualitative responses of the survey and how they are related to official data. This analysis is performed by extracting the cyclical component using the Bry-Boschan (1971) approach used by the NBER for the analysis of business cycles. By doing this, the turning points of the series are identified. We estimate bivariate Vector Autoregressive to test for Granger causality in order to see if there is predictive causality in the indicators from EOE. Finally, we develop some forecasting exercises that show evidence of substantial improvements in short-term forecasts of the Monthly Economic Activity Index (IMAE), when indicators from the manufacturing survey are included. We conclude that the indicators obtained from the surveys have predictive information that can be used to model economic activity and that can serve as a support for the monetary policy decisions.

• Item Type: MPRA Paper
• English Title: Forecasting Economic Activity using Manufacturing Opinion Surveys: Evidence for the Dominican Republic
• Language: Spanish
• Keywords: Surveys, Diffusion Index, Cyclical Component.
• Subjects: E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles

References

Baxter, M. King, R. (1995) “Measuring Business Cycles Aproximate Band Pass Filters for Economic Time Series”, National Bureau of Economic Research (NBER) Working Paper #5022.

Box, G. y Jenkings, G. (1970) “Time Series Analysis: Forecasting and Control”, Holden Day, San Francisco, USA.

Britton, E.; Cutler, J. y Wardlow A. (1999) “The Bank's use of survey data”, Bank of England Quaterly Bulletin, Volumen 39, #2, (pp. 177-182).

Bry, G. y Boschan, C. (1971) “Cyclical Analysis of Time Series: Selected Procedures and Computed Programs”, National Bureau of Economic Research (NBER), New York.

Burns, A. y Mitchel, W. (1946) “Measuring Business Cycles”, National Bureau of Economic Research (NBER), New York.

Cabrera y Salazar (2009) “Las Encuestas de Opinión en el Análisis del Ciclo Económico Salvadoreño: Un estudio Exploratorio” Banco Central de Reserva de El Salvador, Tópicos Económicos. Año 2, #31.

Deitz, R. y Steindel, C. (2005) “The Predictive Abilities of the New York Fed's Empire State Manufacturing Survey” Current Issues in Economics and Finance. Volume 11, #1, Federal Reserve Bank of New York.

Gallardo, M. y Pedersen, M. (2008) “Encuestas de Opinión Empresarial del Sector Industrial en América Latina” Series de Estudios Estadísticos y Prospectivos, #64. Comisión Económica para América Latina y el Caribe (CEPAL).

Harris, Ethan S. (1991) “Tracking the Economy with the Purchasing Managers' Index” Federal Reserve Bank of New York Quaterly Review/ Otoño 1999 (pp. 61-69).

Harris, M.; Owens, R. y Sarte, P. (2004) “Using Manufacturing Surveys to Assess Economic Conditions” Federal Reserve Bank of Richmond Economic Quarterly. Volume 90/4 otoño 2004 (pp. 65-92).

Keeton, W. y Verba, M. (2004) “What can Regional Manufacturing Surveys Tell Us? Lessons from the Tenth District” Federal Reserve Bank of Kansas City Economic Review/ Third Quarter 2004 (pp.39-70).

Koenig, E. (2002) “Using the Purchasing Managers' Index to Assess the Economy's Strength and the Likely Direction of Monetary Policy” Federal Reserve Bank of Dallas Economic and Financial Policy Review, Volumen 1, #6 (pp. 1-14).43

Misas, M. y Ripoll, M. (1993) “El Uso de las Encuestas de Opinión Empresarial en la Construcción de Pronósticos y Precios” Revista Ensayos Sobre Política Económica, Volumen 23 (pp. 123-143). Bogotá, Colombia.

Paredes, E. (2013) “Indicador Adelantado del Ciclo Económico para la República Dominicana“, Documento de Trabajo (2013-03), Banco Central de la República Dominicana (BCRD).

Pincheira, P. (2014) “Predicción del Empleo Sectorial y Total en Base a Indicadores de Confianza Empresarial”, Banco Central de Chile. Documento de Trabajo #729.

Schiller, T. y Trebing, M. (2003) “Taking the Measure of Manufacturing”Federal Reserve Bank of Philadelphia Business Review. (pp. 24-37).