IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/75861.html
   My bibliography  Save this paper

Predicción de la Actividad Económica a Partir de Indicadores de las Encuestas de Opinión Empresarial: Evidencia para República Dominicana
[Forecasting Economic Activity using Manufacturing Opinion Surveys: Evidence for the Dominican Republic]

Author

Listed:
  • Jimenez Polanco, Miguel A.
  • Ramírez Escoboza, Merlym

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.

Suggested Citation

  • Jimenez Polanco, Miguel A. & Ramírez Escoboza, Merlym, 2015. "Predicción de la Actividad Económica a Partir de Indicadores de las Encuestas de Opinión Empresarial: Evidencia para República Dominicana [Forecasting Economic Activity using Manufacturing Opinion ," MPRA Paper 75861, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:75861
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/75861/1/MPRA_paper_75861.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    2. Timothy G. Schiller & Michael E. Trebing, 2003. "Taking the measure of manufacturing," Business Review, Federal Reserve Bank of Philadelphia, issue Q4, pages 24-37.
    3. William R. Keeton & Michael Verba, 2004. "What can regional manufacturing surveys tell us? lessons from the Tenth District," Economic Review, Federal Reserve Bank of Kansas City, vol. 89(Q III), pages 39-70.
    4. Pablo Pincheira, 2014. "Predicción del Empleo Sectorial y Total en Base a Indicadores de Confianza Empresarial," Working Papers Central Bank of Chile 729, Central Bank of Chile.
    5. Gallardo, Mauricio & Pedersen, Michael, 2008. "Encuestas de opinión empresarial del sector industrial en América Latina," Estudios Estadísticos 4770, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    7. Richard Deitz & Charles Steindel, 2005. "The predictive abilities of the New York Fed's Empire State Manufacturing Survey," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 11(Jan).
    8. Matthew Harris & Raymond E. Owens & Pierre-Daniel G. Sarte, 2004. "Using manufacturing surveys to assess economic conditions," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 90(Fall), pages 65-92.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richard Deitz & Charles Steindel, 2005. "The predictive abilities of the New York Fed's Empire State Manufacturing Survey," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 11(Jan).
    2. Camila Figueroa S. & Michael Pedersen, 2019. "Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile)," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 098-131, December.
    3. Jesus Cañas & Amy Jordan, 2018. "Texas Service Sector Outlook Survey: Survey Methodology and Performance," Working Papers 1807, Federal Reserve Bank of Dallas.
    4. Jesus Cañas & Emily Kerr, 2014. "Texas Manufacturing Outlook Survey: survey methodology and performance," Working Papers 1416, Federal Reserve Bank of Dallas.
    5. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    6. Jaromir Benes & David Vavra, 2004. "Eigenvalue Decomposition of Time Series with Application to the Czech Business Cycle," Working Papers 2004/08, Czech National Bank.
    7. Andreas Hornstein, 1998. "Inventory investment and the business cycle," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 49-71.
    8. Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.
    9. Alexandra Ferreira-Lopes & Álvaro Pina, 2011. "Business Cycles, Core, and Periphery in Monetary Unions: Comparing Europe and North America," Open Economies Review, Springer, vol. 22(4), pages 565-592, September.
    10. jose ramos pires manso, 2004. "Economical Versus Political Cycles In An Iberian Manufacturing Sector," Industrial Organization 0404003, University Library of Munich, Germany.
    11. Dewald, William G. & Haug, Alfred A., 2004. "Longer-term effects of monetary growth on real and nominal variables, major industrial countries, 1880-2001," Working Paper Series 382, European Central Bank.
    12. Bergman, Michael, 2001. "Finnish and Swedish Business Cycles in a Global Context," Working Papers 2001:20, Lund University, Department of Economics.
    13. Dagum, Estela Bee, 2010. "Business Cycles and Current Economic Analysis/Los ciclos económicos y el análisis económico actual," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 28, pages 577-594, Diciembre.
    14. Mohanty, Jaya & Singh, Bhupal & Jain, Rajeev, 2003. "Business cycles and leading indicators of industrial activity in India," MPRA Paper 12149, University Library of Munich, Germany.
    15. Siem Jan Koopman & Soon Yip Wong, 2006. "Extracting Business Cycles using Semi-parametric Time-varying Spectra with Applications to US Macroeconomic Time Series," Tinbergen Institute Discussion Papers 06-105/4, Tinbergen Institute.
    16. Efe Can KILINÇ & Cafer Necat BERBEROĞLU, 2019. "The Relationship Between Saving, Profit Rates and Business CyclesAbstract:There are different approaches of economics schools on the sources, causes and determinants of business cycles. These approach," Sosyoekonomi Journal, Sosyoekonomi Society.
    17. Olivier Bandt & Catherine Bruneau & Alexis Flageollet, 2006. "Assessing Aggregate Comovements in France, Germany and Italy Using a Non Stationary Factor Model of the Euro Area," Springer Books, in: Convergence or Divergence in Europe?, pages 95-120, Springer.
    18. Petr Rozmahel & Ladislava Issever Grochová & Marek Litzman, 2014. "The Effect of Asymmetries in Fiscal Policy Conducts on Business Cycle Correlation in the EU. WWWforEurope Working Paper No. 62," WIFO Studies, WIFO, number 47249, March.
    19. Andreas Groth & Michael Ghil & Stéphane Hallegatte & Patrice Dumas, 2015. "The role of oscillatory modes in US business cycles," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(1), pages 63-81.
    20. J. M. Binner & R. K. Bissoondeeal & A. W. Mullineux, 2005. "A composite leading indicator of the inflation cycle for the Euro area," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1257-1266.

    More about this item

    Keywords

    Surveys; Diffusion Index; Cyclical Component.;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:75861. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.