IDEAS home Printed from https://ideas.repec.org/a/rjr/romjef/v5y2008i1p182-192.html
   My bibliography  Save this article

Forecasting Romanian GDP Using a Small DSGE Model

Author

Listed:
  • Caraiani, Petre

    (Institute of Economic Forecasting, Romanian Academy)

Abstract

In this study I apply a simple DSGE model to forecast the quarterly Romanian GDP. The forecast is based on the posterior distribution of the model parameters resulted from the Bayesian estimation. The forecast for the 2006-2007 period shows that the realized GDP is within the confidence interval of the forecast when the shock uncertainty is also included. The projection for the 2007-2010 period indicates an average growth rate of almost 6%.

Suggested Citation

  • Caraiani, Petre, 2008. "Forecasting Romanian GDP Using a Small DSGE Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(1), pages 182-192, March.
    • Handle: RePEc:rjr:romjef:v:5:y:2008:i:1:p:182-192
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/rjef/rjef1_08/rjef1_08_15.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
    2. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    3. Ali Dib & Mohamed Gammoudi & Kevin Moran, 2008. "Forecasting Canadian time series with the New Keynesian model," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(1), pages 138-165, February.
    4. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    5. Guangling (dave Liu & Rangan Gupta, 2007. "A Small‐Scale Dsge Model For Forecasting The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 75(2), pages 179-193, June.
    6. Juillard, Michel, 1996. "Dynare : a program for the resolution and simulation of dynamic models with forward variables through the use of a relaxation algorithm," CEPREMAP Working Papers (Couverture Orange) 9602, CEPREMAP.
    7. Dobrescu, Emilian, 1996. "Macromodels of the Romanian transition Economy," MPRA Paper 35810, University Library of Munich, Germany.
    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. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.
    2. Mossadak, Anas, 2013. "Monetary and Fiscal Policy in an Estimated DSGE Model for Morocco," MPRA Paper 104579, University Library of Munich, Germany, revised 2013.
    3. Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
    4. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    5. Caraiani, Petre, 2007. "An Analysis of the Fluctuations in the Romanian Economy using the Real Business Cycles Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 4(2), pages 76-86, June.
    6. Shirota, Toyoichiro, 2018. "What is the major source of business cycles: Spillovers from land prices, investment shocks, or anything else?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 138-149.
    7. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
    8. Meyer-Gohde, Alexander & Neuhoff, Daniel, 2015. "Generalized exogenous processes in DSGE: A Bayesian approach," SFB 649 Discussion Papers 2015-014, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    9. Charles, Amélie & Darné, Olivier & Tripier, Fabien, 2015. "Are Unit Root Tests Useful In The Debate Over The (Non)Stationarity Of Hours Worked?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 167-188, January.
    10. Charles Olivier Mao Takongmo, 2021. "DSGE models, detrending, and the method of moments," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 67-99, January.
    11. Matteo Iacoviello & Fabio Schiantarelli & Scott Schuh, 2011. "Input And Output Inventories In General Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(4), pages 1179-1213, November.
    12. Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulà lia-Llopis, Raül, 2009. "Methods versus Substance: Measuring the Effects of Technology Shocks on Hours," CEPR Discussion Papers 7474, C.E.P.R. Discussion Papers.
    13. Guangling (Dave) Liu & Rangan Gupta & Eric Schaling, 2007. "Forecasting the South African Economy: A DSGE-VAR Approach," Working Papers 200724, University of Pretoria, Department of Economics.
    14. Binh Thai Pham & Hector Sala, 2022. "The implications of public expenditures on a small economy in transition: a Bayesian DSGE approach," Economic Change and Restructuring, Springer, vol. 55(1), pages 401-431, February.
    15. Mr Steinbach & Pt Mathuloe & Bw Smit, 2009. "An Open Economy New Keynesian Dsge Model Of The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 77(2), pages 207-227, June.
    16. Xiao, Bowen & Fan, Ying & Guo, Xiaodan, 2018. "Exploring the macroeconomic fluctuations under different environmental policies in China: A DSGE approach," Energy Economics, Elsevier, vol. 76(C), pages 439-456.
    17. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1439-1512, Elsevier.
    18. repec:hum:wpaper:sfb649dp2015-014 is not listed on IDEAS
    19. Eyal Argov & Emanuel Barnea & Alon Binyamini & Eliezer Borenstein & David Elkayam & Irit Rozenshtrom, 2012. "MOISE: A DSGE Model for the Israeli Economy," Bank of Israel Working Papers 2012.06, Bank of Israel.
    20. Guangling 'Dave' Liu & Rangan Gupta & Eric Schaling, 2009. "A New-Keynesian DSGE model for forecasting the South African economy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 387-404.
    21. Stan du Plessis & Ben Smit & Rudi Steinbach, 2014. "A mediumsized open economy DSGE model of South Africa," Working Papers 6319, South African Reserve Bank.

    More about this item

    Keywords

    forecasting methods; DSGE models; Bayesian methods; real business cycles.;
    All these keywords.

    JEL classification:

    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

    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:rjr:romjef:v:5:y:2008:i:1:p:182-192. 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/ipacaro.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.