Improving Short-Term Forecasting of Macedonian GDP: Comparing the Factor Model with the Macroeconomic Structural Equation Model
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Bai, Jushan & Wang, Peng, 2014. "Identification theory for high dimensional static and dynamic factor models," Journal of Econometrics, Elsevier, vol. 178(2), pages 794-804.
- Mu-Chun Wang, 2009.
"Comparing the DSGE model with the factor model: an out-of-sample forecasting experiment,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 167-182.
- Wang, Mu-Chun, 2008. "Comparing the DSGE model with the factor model: an out-of-sample forecasting experiment," Discussion Paper Series 1: Economic Studies 2008,04, Deutsche Bundesbank.
- Marie Bessec, 2013.
"Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
- Bessec, M., 2012. "Short-term forecasts of French GDP: a dynamic factor model with targeted predictors," Working papers 409, Banque de France.
- Marie Bessec, 2013. "Short-term forecasts of French GDP: A dynamic factor model with targeted predictors," Post-Print hal-01515605, HAL.
- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Christian Schumacher, 2007.
"Forecasting German GDP using alternative factor models based on large datasets,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.
- Schumacher, Christian, 2005. "Forecasting German GDP using alternative factor models based on large datasets," Discussion Paper Series 1: Economic Studies 2005,24, Deutsche Bundesbank.
- Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
- Fuhrer, Jeffrey C & Moore, George R, 1995. "Monetary Policy Trade-offs and the Correlation between Nominal Interest Rates and Real Output," American Economic Review, American Economic Association, vol. 85(1), pages 219-239, March.
- Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
- Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
- Magdalena Petrovska & Aneta Krstevska & Nikola Naumovski, 2016.
"Forecasting Macedonian Business Cycle Turning Points Using Qual Var Model,"
Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 5(3), pages 61-78.
- Magdalena Petrovska & Aneta Krstevska & Nikola Naumovski, 2016. "Forecasting Macedonian business cycle turning points using Qual VAR model," Working Papers 2016-05, National Bank of the Republic of North Macedonia.
- Schumacher, Christian, 2010.
"Factor forecasting using international targeted predictors: The case of German GDP,"
Economics Letters, Elsevier, vol. 107(2), pages 95-98, May.
- Schumacher, Christian, 2009. "Factor forecasting using international targeted predictors: the case of German GDP," Discussion Paper Series 1: Economic Studies 2009,10, Deutsche Bundesbank.
- Dimitar Eftimoski, 2019. "An assessment of the dynamic effects of monetary policy in Macedonia," Applied Economics Letters, Taylor & Francis Journals, vol. 26(10), pages 823-829, June.
- Hall, Stephen, 1995. "Macroeconomics and a Bit More Reality," Economic Journal, Royal Economic Society, vol. 105(431), pages 974-988, July.
- Bernanke, Ben S. & Boivin, Jean, 2003.
"Monetary policy in a data-rich environment,"
Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
- Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc.
- Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.
- Bruno Merlevede & Joseph Plasmans & Bas van Aarle, 2003. "A Small Macroeconomic Model of the EU-Accession Countries," Open Economies Review, Springer, vol. 14(3), pages 221-250, July.
- Michael Artis & Anindya Banerjee & Massimiliano Marcellino, "undated".
"Factor forecasts for the UK,"
Working Papers
203, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Michael ARTIS & Anindya BANERJEE & Massimiliano MARCELLINO, 2001. "Factor Forecasts for the UK," Economics Working Papers ECO2001/15, European University Institute.
- Artis, Michael & Banerjee, Anindya & Marcellino, Massimiliano, 2002. "Factor Forecasts for the UK," CEPR Discussion Papers 3119, C.E.P.R. Discussion Papers.
- Glenn Rudebusch & Lars E.O. Svensson, 1999.
"Policy Rules for Inflation Targeting,"
NBER Chapters, in: Monetary Policy Rules, pages 203-262,
National Bureau of Economic Research, Inc.
- Glenn D. Rudebusch & Lars E. O. Svensson, 1998. "Policy rules for inflation targeting," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Glenn D. Rudebusch & Lars E. O. Svensson, 1998. "Policy Rules for Inflation Targeting," NBER Working Papers 6512, National Bureau of Economic Research, Inc.
- Rudebusch, Glenn D & Svensson, Lars E O, 1998. "Policy Rules for Inflation Targeting," CEPR Discussion Papers 1999, C.E.P.R. Discussion Papers.
- Svensson, Lars E.O. & Rudebusch , Glenn, 1998. "Policy Rules for Inflation Targeting," Seminar Papers 637, Stockholm University, Institute for International Economic Studies.
- Glenn D. Rudebusch & Lars E. O. Svensson, 1998. "Policy rules for inflation targeting," Working Papers in Applied Economic Theory 98-03, Federal Reserve Bank of San Francisco.
- Rudebusch, G.D. & Svensson, L.E.O., 1998. "Policy Rules for Inflation Targeting," Papers 637, Stockholm - International Economic Studies.
- George Kapetanios & Massimiliano Marcellino, 2009.
"A parametric estimation method for dynamic factor models of large dimensions,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 30(2), pages 208-238, March.
- Marcellino, Massimiliano & Kapetanios, George, 2006. "A Parametric Estimation Method for Dynamic Factor Models of Large Dimensions," CEPR Discussion Papers 5620, C.E.P.R. Discussion Papers.
- Branimir Jovanovic & Magdalena Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," Working Papers 2010-02, National Bank of the Republic of North Macedonia, revised Aug 2010.
- Jesús Crespo Cuaresma & Martin Feldkircher & Tomáš Slacík & Julia Wörz, 2009. "Simple but Effective: The OeNB’s Forecasting Model for Selected CESEE Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 84-95.
- Maximo Camacho & Gabriel Perez-Quiros, 2010.
"Introducing the euro-sting: Short-term indicator of euro area growth,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 663-694.
- Maximo Camacho & Gabriel Perez-Quiros, 2008. "Introducing the EURO-STING: Short Term INdicator of Euro Area Growth," Working Papers 0807, Banco de España.
- Pérez-Quirós, Gabriel & Camacho, Máximo, 2009. "Introducing the Euro-STING: Short-Term Indicator of Euro Area Growth," CEPR Discussion Papers 7343, C.E.P.R. Discussion Papers.
- Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
- Jean Boivin & Serena Ng, 2005.
"Understanding and Comparing Factor-Based Forecasts,"
International Journal of Central Banking, International Journal of Central Banking, vol. 1(3), December.
- Jean Boivin & Serena Ng, 2005. "Understanding and Comparing Factor-Based Forecasts," NBER Working Papers 11285, National Bureau of Economic Research, Inc.
- Boivin, Jean & Ng, Serena, 2005. "Understanding and Comparing Factor-Based Forecasts," MPRA Paper 836, University Library of Munich, Germany.
- repec:dau:papers:123456789/10079 is not listed on IDEAS
- Jasper de Winter, 2011. "Forecasting GDP growth in times of crisis: private sector forecasts versus statistical models," DNB Working Papers 320, Netherlands Central Bank, Research Department.
- Jushan Bai & Peng Wang, 2016. "Econometric Analysis of Large Factor Models," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 53-80, October.
- Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
- Bai, Jushan & Ng, Serena, 2013. "Principal components estimation and identification of static factors," Journal of Econometrics, Elsevier, vol. 176(1), pages 18-29.
- Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
- Dias, Francisco & Pinheiro, Maximiano & Rua, António, 2015. "Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence," Economic Modelling, Elsevier, vol. 44(C), pages 266-272.
- Klein, Lawrence R. & Roudoi, Andrei & Eskin, Vladimir & Nicolae, Mariana, 2004. "Principal Components Model Of The Romanian Economy. Study Of The Oil Price Impact Upon Gdp," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 1(5), pages 67-80.
- Magdalena Petrovska & Gani Ramadani & Nikola Naumovski & Biljana Jovanovic, 2017. "Forecasting Macedonian Inflation: Evaluation of different models for short-term forecasting," Working Papers 2017-06, National Bank of the Republic of North Macedonia.
- Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.
- Lucian Liviu ALBU & Carlos MatéJIMÉNEZ & Mihaela SIMIONESCU, 2015. "The Assessment of Some Macroeconomic Forecasts for Spain using Aggregated Accuracy Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 30-47, June.
- Antonello D’ Agostino & Domenico Giannone, 2012.
"Comparing Alternative Predictors Based on Large‐Panel Factor Models,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 306-326, April.
- D'Agostino, Antonello & Giannone, Domenico, 2006. "Comparing Alternative Predictors Based on Large-Panel Factor Models," Research Technical Papers 14/RT/06, Central Bank of Ireland.
- Giannone, Domenico & D’Agostino, Antonello, 2007. "Comparing Alternative Predictors Based on Large-Panel Factor Models," CEPR Discussion Papers 6564, C.E.P.R. Discussion Papers.
- D'Agostino, Antonello & Giannone, Domenico, 2006. "Comparing alternative predictors based on large-panel factor models," Working Paper Series 680, European Central Bank.
- Klein, Lawrence R. & Roudoi, Andrei & Eskin, Vladimir & Albu, Lucian Liviu & Stanica, Cristian Nicolae & Nicolae, Mariana & Chilian, Mihaela Nona, 2004. "Principal Components Model Of The Romanian Economy. Gdp – Production Side," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 1(5), pages 52-66.
- Ángel Cuevas & Enrique Quilis, 2012. "A factor analysis for the Spanish economy," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(3), pages 311-338, September.
- John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
- Marta Bańbura & Michele Modugno, 2014.
"Maximum Likelihood Estimation Of Factor Models On Datasets With Arbitrary Pattern Of Missing Data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 133-160, January.
- Bańbura, Marta & Modugno, Michele, 2010. "Maximum likelihood estimation of factor models on data sets with arbitrary pattern of missing data," Working Paper Series 1189, European Central Bank.
- Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
- Basdevant, Olivier, 2000. "An econometric model of the Russian Federation," Economic Modelling, Elsevier, vol. 17(2), pages 305-336, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Emilian DOBRESCU, 2020. "Self-fulfillment degree of economic expectations within an integrated space: The European Union case study," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-32, December.
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.- Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014.
"Dynamic factor models: A review of the literature,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
- Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Dynamic factor models: A review of the literature," Post-Print hal-01385974, HAL.
- Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
- Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021.
"Factor extraction using Kalman filter and smoothing: This is not just another survey,"
International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
- Poncela Blanco, Maria Pilar, 2020. "Factor extraction using Kalman filter and smoothing: this is not just another survey," DES - Working Papers. Statistics and Econometrics. WS 30644, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Luciani, Matteo, 2014.
"Forecasting with approximate dynamic factor models: The role of non-pervasive shocks,"
International Journal of Forecasting, Elsevier, vol. 30(1), pages 20-29.
- Matteo Luciani, 2011. "Forecasting with Approximate Dynamic Factor Models: the Role of Non-Pervasive Shocks," Working Papers ECARES ECARES 2011‐022, ULB -- Universite Libre de Bruxelles.
- Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010.
"Are disaggregate data useful for factor analysis in forecasting French GDP?,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
- Barhoumi, K. & Darné, O. & Ferrara, L., 2009. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Working papers 232, Banque de France.
- Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
- Banbura, Marta & Rünstler, Gerhard, 2011.
"A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP,"
International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
- Bańbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346.
- Rünstler, Gerhard & Bańbura, Marta, 2007. "A look into the factor model black box: publication lags and the role of hard and soft data in forecasting GDP," Working Paper Series 751, European Central Bank.
- Gupta, Rangan & Kabundi, Alain, 2011.
"A large factor model for forecasting macroeconomic variables in South Africa,"
International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
- Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
- Dias, Francisco & Pinheiro, Maximiano & Rua, António, 2015. "Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence," Economic Modelling, Elsevier, vol. 44(C), pages 266-272.
- Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
- Pilar Poncela & Esther Ruiz, 2016.
"Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment,"
Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434,
Emerald Group Publishing Limited.
- Poncela, Pilar, 2015. "Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment," DES - Working Papers. Statistics and Econometrics. WS ws1502, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
- Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
- Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017.
"The role of indicator selection in nowcasting euro-area GDP in pseudo-real time,"
Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
- A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
- António Rua & Francisco Craveiro Dias & Maximiano Pinheiro, 2014. "Forecasting Portuguese GDP with factor models," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
- Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
- Catherine Doz & Peter Fuleky, 2019.
"Dynamic Factor Models,"
Working Papers
halshs-02262202, HAL.
- Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," PSE-Ecole d'économie de Paris (Postprint) halshs-02491811, HAL.
- Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
- Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
- Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.
- Matteo Luciani & Lorenzo Ricci, 2014.
"Nowcasting Norway,"
International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
- Matteo Luciani & Lorenzo Ricci, 2013. "Nowcasting Norway," Working Papers ECARES ECARES 2013-10, ULB -- Universite Libre de Bruxelles.
- Marcellino, Massimiliano & Schumacher, Christian, 2007.
"Factor-MIDAS for now- and forecasting with ragged-edge data: a model comparison for German GDP,"
Discussion Paper Series 1: Economic Studies
2007,34, Deutsche Bundesbank.
- Schumacher, Christian & Marcellino, Massimiliano, 2008. "Factor-MIDAS for now- and forecasting with ragged-edge data: A model comparison for German GDP," CEPR Discussion Papers 6708, C.E.P.R. Discussion Papers.
- Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Economics Working Papers ECO2008/16, European University Institute.
- Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012.
"Nowcasting German GDP: A comparison of bridge and factor models,"
Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
- Antipa, P. & Barhoumi, K. & Brunhes-Lesage, V. & Darné, O., 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Working papers 401, Banque de France.
- Eickmeier, Sandra & Ng, Tim, 2011.
"Forecasting national activity using lots of international predictors: An application to New Zealand,"
International Journal of Forecasting, Elsevier, vol. 27(2), pages 496-511, April.
- Eickmeier, Sandra & Ng, Tim, 2011. "Forecasting national activity using lots of international predictors: An application to New Zealand," International Journal of Forecasting, Elsevier, vol. 27(2), pages 496-511.
- Sandra Eickmeier & Tim Ng, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/04, Reserve Bank of New Zealand.
- Eickmeier, Sandra & Ng, Tim, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Discussion Paper Series 1: Economic Studies 2009,11, Deutsche Bundesbank.
More about this item
Keywords
factor model; macroeconomic structural equation model; forecasting and forecasting evaluation; GDP;All these keywords.
JEL classification:
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
Statistics
Access and download statisticsCorrections
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:2019:i:2:p:32-53. 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.