IDEAS home Printed from https://ideas.repec.org/a/rjr/romjef/vy2011i4p141-162.html
   My bibliography  Save this article

Possible Evolutions of Investment Rate – Error Correction Models Scenarios

Author

Listed:
  • Scutaru, Cornelia

    (Institute for Economic Forecasting, Centre for Macroeconomic Modelling, NIER, Romanian Academy, Member of Academy of Romanian Scientists)

Abstract

Starting from the basic relationship among investment, GDP and the active interest rate estimated as long-term tendency, several short-term dynamics equation are built for revealing the impact of different factors: cost of capital, foreign direct investments, labor (unemployment rate, real net wage, tax burden). The impact of the economic crisis is analyzed in relation to the changes that occur on long term in the elasticities of different factors. Scenarios are built, which allow for previsions on the possible macroeconomic evolutions. Some required economic policy measures are suggested, with the view to diminish the negative impacts of certain factors in times of economic crisis.

Suggested Citation

  • Scutaru, Cornelia, 2011. "Possible Evolutions of Investment Rate – Error Correction Models Scenarios," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 141-162, December.
  • Handle: RePEc:rjr:romjef:v::y:2011:i:4:p:141-162
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/rjef/rjef4_11/rjef4_2011p141-162.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dobrescu, Emilian, 2008. "A Desirable Scenario For The Romanian Economy During 2008-2013," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(4), pages 15-58, December.
    2. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2010. "The "Dobrescu Macromodel" Of The Romanian Market Economy - 2005 Version Yearly Forecast - Spring Forecast 2010," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 215-217, March.
    3. Scutaru, Cornelia & Saman, Corina & Stanica, Cristian, 2009. "The Relation between Predictability and Complexity: Domestic and Public Consumption in the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(3), pages 34-46, September.
    4. Nicolas Carnot & Vincent Koen & Bruno Tissot, 2005. "Economic Forecasting," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-00581-5.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dinica, Mihai Cristian & Armeanu, Daniel, 2014. "The Optimal Hedging Ratio for Non-Ferrous Metals," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 105-122, March.

    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. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2011. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version Yearly Forecast Preliminate for 2011, November Estimates," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 197-199, December.
    2. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2010. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version - Yearly Forecast – Preliminate for 2010, November estimate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 208-212, December.
    3. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2011. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version - Yearly Forecast – Autumn Forecast 2011, September Estimate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 267-269, September.
    4. F. J. H. Don & J. P. Verbruggen, 2006. "Models and methods for economic policy: 60 years of evolution at CPB," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(2), pages 145-170, May.
    5. Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
    6. Comanescu , Anton, 2012. "Central Bank Transparency and Monetary Policy Effectiveness," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 6(4), pages 61-88, July.
    7. Maria Blangiewicz & Krystyna Strzala, 2008. "Notes on a Forecasting Procedure," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 75-84.
    8. Macomodel of the Romanian Market Economy Group (Cornelia Scutaru, Ion Ghizdeanu, Lucian Liviu Albu, Bianca Pauna, Corina Saman), 2009. "The "Dobrescu Macromodel" Of The Romanian Market Economy - 2005 Version* Yearly Forecast - Spring Forecast 2009," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(1), pages 155-159, March.
    9. Scutaru, Cornelia & Fomin, Petre & Stanica, Cristian, 2010. "Prospects for the Evolution of the Economic Sectors’ Behavior," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(5), pages 120-142.
    10. Ghizdeanu, Ion & Tudorescu, Veronica, 2007. "Unit Labor Cost In Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 4(1), pages 57-64, March.
    11. Ackon, Kwabena Meneabe, 2020. "Fiscal Policy Innovations In Advanced Economies," MPRA Paper 100737, University Library of Munich, Germany.
    12. Bruno Tissot & Les Skoczylas, 2005. "Revisiting recent productivity developments across OECD countries," BIS Working Papers 182, Bank for International Settlements.
    13. Christian Gayer & Alessandro Girardi & Andreas Reuter, 2016. "Replacing Judgment by Statistics: Constructing Consumer Confidence Indicators on the basis of Data-driven Techniques. The Case of the Euro Area," Working Papers LuissLab 16125, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    14. Constantin Anghelache & Madalina Gabriela Anghel & Marius Popovici, 2015. "Multiple Regressions Used in Analysis of Private Consumption and Public Final Consumption Evolution," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 69-73, October.
    15. ALBU Lucian-Liviu, 2011. "Changes In Economy Or Changes In Economics?," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 55(2), pages 28-31.
    16. Albu, Lucian-Liviu, 2010. "Scenarios for post-crisis period based on a set of presumed changes in the interest rate – investment – GDP growth relationship," MPRA Paper 32753, University Library of Munich, Germany.
    17. Knetsch, Thomas A., 2010. "Trend and cycle features in German residential investment before and after reunification," Discussion Paper Series 1: Economic Studies 2010,10, Deutsche Bundesbank.
    18. Escudero, Verónica & López Mourelo, Elva, 2012. "Improving Competitiveness and Fostering Productivity in Spain/Mejorar la competitividad y fomentar la productividad en España," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 105-136, Abril.
    19. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2010. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version - Yearly Forecast – Autumn Forecast for 2010," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 187-190, September.
    20. Klaus Abberger & Wolfgang Nierhaus, 2010. "Markov-Switching and the Ifo Business Climate: the Ifo Business Cycle Traffic Lights," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-13.

    More about this item

    Keywords

    investment; simulation;

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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::y:2011:i:4:p:141-162. 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.