IDEAS home Printed from https://ideas.repec.org/r/cpr/ceprdp/2961.html
   My bibliography  Save this item

Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model

Citations

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


Cited by:

  1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model," Working Papers 2013:17, Department of Economics, University of Venice "Ca' Foscari", revised 2014.
  2. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
  3. Joanna Gravier-Rymaszewska, 2012. "How Aid Supply Responds to Economic Crises: A Panel VAR Approach," WIDER Working Paper Series wp-2012-025, World Institute for Development Economic Research (UNU-WIDER).
  4. Pfarrhofer, Michael, 2019. "Measuring international uncertainty using global vector autoregressions with drifting parameters," Working Papers in Economics 2019-3, University of Salzburg.
  5. Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
  6. Joshua C.C. Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2012. "Time Varying Dimension Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 358-367, January.
  7. Comunale, Mariarosaria, 2022. "A panel VAR analysis of macro-financial imbalances in the EU," Journal of International Money and Finance, Elsevier, vol. 121(C).
  8. Roberto Casarin & Claudia Foroni & Massimiliano Marcellino & Francesco Ravazzolo, 2016. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," Working Papers 585, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  9. William T. Gavin & Athena T. Theodorou, 2005. "A common model approach to macroeconomics: using panel data to reduce sampling error," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(3), pages 203-219.
  10. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
  11. Florian Huber & Gregor Kastner & Martin Feldkircher, 2019. "Should I stay or should I go? A latent threshold approach to large‐scale mixture innovation models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 621-640, August.
  12. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
  13. Stéphane Dées & Jochen Güntner, 2014. "Analysing and forecasting price dynamics across euro area countries and sectors: A panel VAR approach," Economics working papers 2014-10, Department of Economics, Johannes Kepler University Linz, Austria.
  14. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
  15. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. Van Dijk, 2016. "Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1352-1370, November.
  16. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
  17. Kosei Fukuda, 2009. "Forecasting growth cycle turning points using US and Japanese professional forecasters," Empirical Economics, Springer, vol. 36(2), pages 243-267, May.
  18. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2011. "Forecasting large datasets with Bayesian reduced rank multivariate models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 735-761, August.
  19. Canova, Fabio & Ciccarelli, Matteo, 2004. "Forecasting and turning point predictions in a Bayesian panel VAR model," Journal of Econometrics, Elsevier, vol. 120(2), pages 327-359, June.
  20. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
  21. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
  22. Cajas-Guijarro, John & Pérez-Almeida, Bryan, 2021. "Comercio, sobreexplotación laboral y ciclos en la periferia: una propuesta teórica y el caso ecuatoriano desde un modelo PVAR. || Trade, super-exploitation of labor power and cycles in the periphery: ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 161-197, June.
  23. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel vector autoregressive models: a survey," Working Paper Series 1507, European Central Bank.
  24. Mr. Alessandro Rebucci & Mr. Matteo Ciccarelli, 2003. "Measuring Contagion with a Bayesian Time-Varying Coefficient Model," IMF Working Papers 2003/171, International Monetary Fund.
  25. Follett, Lendie & Yu, Cindy, 2019. "Achieving parsimony in Bayesian vector autoregressions with the horseshoe prior," Econometrics and Statistics, Elsevier, vol. 11(C), pages 130-144.
  26. Joan Costa-Font & Cristina Vilaplana-Prieto, 2023. "‘Investing’ in care for old age? An examination of long-term care expenditure dynamics and its spillovers," Empirical Economics, Springer, vol. 64(1), pages 1-30, January.
  27. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
  28. Dovern, Jonas & Huber, Florian, 2015. "Global prediction of recessions," Economics Letters, Elsevier, vol. 133(C), pages 81-84.
  29. Camehl, Annika, 2023. "Penalized estimation of panel vector autoregressive models: A panel LASSO approach," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1185-1204.
  30. Farrukh Suvankulov, 2016. "Crude Oil Prices and Fixed-Asset Cash Spending in the Oil and Gas Industry: Findings from VAR Models," Staff Analytical Notes 16-8, Bank of Canada.
  31. Schnücker, A.M., 2019. "Penalized Estimation of Panel Vector Autoregressive Models," Econometric Institute Research Papers EI-2019-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  32. Chai, Jian & Guo, Ju-E. & Meng, Lei & Wang, Shou-Yang, 2011. "Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model," Energy Policy, Elsevier, vol. 39(12), pages 8022-8036.
  33. Alessandro Crociata & Massimiliano Agovino & Donatella Furia & Giacomo Osmi & Nicola Mattoscio & Massimiliano Cerciello, 2020. "Impulse and time persistence of disaggregate welfare expenditure on growth in the EU," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 13-38, April.
  34. Francesco Simone Lucidi, 2023. "The misalignment of fiscal multipliers in Italian regions," Regional Studies, Taylor & Francis Journals, vol. 57(10), pages 2073-2086, October.
  35. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
  36. Evgenidis, Anastasios & Hamano, Masashige & Vermeulen, Wessel N., 2021. "Economic consequences of follow-up disasters: Lessons from the 2011 Great East Japan Earthquake," Energy Economics, Elsevier, vol. 104(C).
  37. Camehl, Annika & von Schweinitz, Gregor, 2023. "What explains international interest rate co-movement?," IWH Discussion Papers 3/2023, Halle Institute for Economic Research (IWH), revised 2023.
  38. Bassetti, Federico & Casarin, Roberto & Leisen, Fabrizio, 2014. "Beta-product dependent Pitman–Yor processes for Bayesian inference," Journal of Econometrics, Elsevier, vol. 180(1), pages 49-72.
  39. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
  40. Adebayo Augustine Kutu & Harold Ngalawa, 2016. "Monetary Policy Shocks And Industrial Output In Brics Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 66(3), pages 3-24, July-Sept.
  41. Alexander Chudik & Roland Straub, 2017. "Size, Openness, And Macroeconomic Interdependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(1), pages 33-55, February.
  42. Florian Huber & Tam'as Krisztin & Michael Pfarrhofer, 2018. "A Bayesian panel VAR model to analyze the impact of climate change on high-income economies," Papers 1804.01554, arXiv.org, revised Feb 2021.
  43. Christiane Nickel & Andreas Tudyka, 2014. "Fiscal Stimulus in Times of High Debt: Reconsidering Multipliers and Twin Deficits," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1313-1344, October.
  44. Gravier-Rymaszewska, Joanna, 2012. "How Aid Supply Responds to Economic Crises: A Panel VAR Approach," WIDER Working Paper Series 025, World Institute for Development Economic Research (UNU-WIDER).
  45. Rodney Strachan & Herman K. van Dijk, "undated". "Bayesian Model Averaging in Vector Autoregressive Processes with an Investigation of Stability of the US Great Ratios and Risk of a Liquidity Trap in the USA, UK and Japan," MRG Discussion Paper Series 1407, School of Economics, University of Queensland, Australia.
  46. Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco & van Dijk, Herman K., 2012. "Combination schemes for turning point predictions," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 402-412.
  47. Sandra Eickmeier, 2009. "Comovements and heterogeneity in the euro area analyzed in a non-stationary dynamic factor model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 933-959.
  48. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers 2016:20, Department of Economics, University of Venice "Ca' Foscari".
  49. Long Chen & Nan Wang & Qiyun Li & Wenjun Zhou, 2023. "Environmental regulation, foreign direct investment and China’s economic development under the new normal: restrain or promote?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4195-4216, May.
  50. Angeliki ANAGNOSTOU & Stephanos PAPADAMOU, 2014. "The Impact Of Monetary Shocks On Regional Output: Evidence From Four South Eurozone Countries," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 105-130.
  51. Dimitris Korobilis, 2013. "Var Forecasting Using Bayesian Variable Selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 204-230, March.
  52. Fabio Canova & Matteo Ciccarelli, 2002. "Panel Index Var Models: Specification, Estimation, Testing And Leading Indicators," Working Papers. Serie AD 2002-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  53. Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
  54. Matteo Ciccarelli & Alessandro Rebucci, 2001. "The Transmission Mechanism of European Monetary Policy: Is There Heterogeneity? Is It Changing Over Time?," Working Papers 0115, Banco de España.
  55. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
  56. Niccolò Casnici & Pierpaolo Dondio & Roberto Casarin & Flaminio Squazzoni, 2015. "Decrypting Financial Markets through E-Joint Attention Efforts: On-Line Adaptive Networks of Investors in Periods of Market Uncertainty," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-15, August.
  57. Patricio Jaramillo, 2009. "Estimación de VAR Bayesianos para la Economía Chilena," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 24(1), pages 101-126, Junio.
  58. Monica Billio & Roberto Casarin & Matteo Iacopini & Sylvia Kaufmann, 2023. "Bayesian Dynamic Tensor Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 429-439, April.
  59. Canova, Fabio, 2002. "G-7 Inflation forecasts," Working Paper Series 151, European Central Bank.
  60. Antonio Pacifico, 2019. "Structural Panel Bayesian VAR Model to Deal with Model Misspecification and Unobserved Heterogeneity Problems," Econometrics, MDPI, vol. 7(1), pages 1-24, March.
  61. Marek Jarocinski, 2010. "Responses to monetary policy shocks in the east and the west of Europe: a comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 833-868.
  62. Horváth, Csilla & Wieringa, Jaap E., 2003. "Combining time series and cross sectional data for the analysis of dynamic marketing systems," Research Report 03F13, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  63. Peter Pedroni, 2013. "Structural Panel VARs," Econometrics, MDPI, vol. 1(2), pages 1-27, September.
  64. Rebucci, Alessandro, 2010. "Estimating VARs with long stationary heterogeneous panels: A comparison of the fixed effect and the mean group estimators," Economic Modelling, Elsevier, vol. 27(5), pages 1183-1198, September.
  65. Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," NCER Working Paper Series 75, National Centre for Econometric Research.
  66. Evelyn Nwamaka Ogbeide-Osaretin & Victoria Nkiruka Ishiwu, 2021. "Macroeconomic Shocks and Aggregate Welfare in Sub-Saharan African Countries," Business & Management Compass, University of Economics Varna, issue 4, pages 380-396.
  67. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
  68. repec:unu:wpaper:wp2012-25 is not listed on IDEAS
  69. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
  70. Jack Fosten & Shaoni Nandi, 2023. "Nowcasting from cross‐sectionally dependent panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 898-919, September.
  71. Pesce, Antonio, 2014. "International (spillovers in) macrofinancial linkages and the decoupling phenomenon," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 41-67.
  72. Fabio Canova, 2005. "The transmission of US shocks to Latin America," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 229-251.
  73. Alege P.O. & George E.O. & Ojeaga P.I. & Oluwatimiro Q., 2015. "Is Africa’s current growth reducing inequality? Evidence from some selected african countries," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 49-67, June.
  74. Osabiyi, Kolawole Emmanuel & Aiyegbusi Oluwole. Oladipo & OLOFIN, Olabode Philip, 2019. "Corruption, Institutional Quality and Economic Growth in West African Countries (1995-2017)," Journal of Public Administration and Governance, Macrothink Institute, vol. 9(2), pages 217-229, December.
  75. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, October.
  76. Mr. Matteo Ciccarelli & Mr. Alessandro Rebucci, 2003. "Bayesian Vars: A Survey of the Recent Literature with An Application to the European Monetary System," IMF Working Papers 2003/102, International Monetary Fund.
  77. E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 257-278.
  78. Yao Xiao & Weimin Yan & Benhong Peng, 2023. "Explore the Complex Interaction between Green Investment and Green Ecology: Evaluation from Spatial Econometric Models and China’s Provincial Panel Data," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
  79. Fabio Canova, 2005. "The transmission of US shocks to Latin America," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 229-251.
  80. Annalisa Marini, 2019. "The Impact of Weather on Commodity Prices: A Warning for the Future," Discussion Papers 1902, University of Exeter, Department of Economics.
  81. Christos Kollias & Suzanna-Maria Paleologou, 2019. "Military spending, economic growth and investment: a disaggregated analysis by income group," Empirical Economics, Springer, vol. 56(3), pages 935-958, March.
  82. Oguzhan Ozcelebi & Nurtac Yildirim, 2017. "Interrelations Between External and Internal Macroeconomic Factors: Empirical Evidence on Some OECD Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(2), pages 147-174.
  83. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.
  84. Antonio Pesce, 2013. "Is Decoupling in action?," ERSA conference papers ersa13p1252, European Regional Science Association.
  85. Charles Shaaba Saba & Nicholas Ngepah, 2021. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, December.
  86. Christos Kollias & Suzanna-Maria Paleologou, 2016. "Investment, growth, and defense expenditure in the EU15: Revisiting the nexus using SIPRI’s new consistent dataset," Economics of Peace and Security Journal, EPS Publishing, vol. 11(2), pages 28-37, October.
  87. Saba, Charles S., 2023. "Investigation of Telecommunication Infrastructures-Industrialisation-Growth Nexus: Evidence from Disaggregated Panel Data Analysis," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 76(2), pages 209-264.
  88. Valentina Aprigliano, 2020. "A large Bayesian VAR with a block‐specific shrinkage: A forecasting application for Italian industrial production," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1291-1304, December.
  89. Canova, Fabio, 2002. "G-7 Inflation Forecasts," CEPR Discussion Papers 3283, C.E.P.R. Discussion Papers.
  90. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
  91. Cimadomo, Jacopo & Giuliodori, Massimo & Lengyel, Andras & Mumtaz, Haroon, 2023. "Changing patterns of risk-sharing channels in the United States and the euro area," Working Paper Series 2849, European Central Bank.
  92. Michael D. Bordo & John Landon Lane & Angela Redish, 2004. "Good versus Bad Deflation: Lessons from the Gold Standard Era," NBER Working Papers 10329, National Bureau of Economic Research, Inc.
  93. Huber, Florian, 2018. "Dealing with heterogeneity in panel VARs using sparse finite mixtures," Department of Economics Working Paper Series 262, WU Vienna University of Economics and Business.
  94. Charles Shaaba Saba & Nicholas Ngepah, 2022. "ICT Diffusion, Industrialisation and Economic Growth Nexus: an International Cross-country Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2030-2069, September.
  95. Paolo Gorgi & Siem Jan Koopman & Julia Schaumburg, 2021. "Vector Autoregressions with Dynamic Factor Coefficients and Conditionally Heteroskedastic Errors," Tinbergen Institute Discussion Papers 21-056/III, Tinbergen Institute.
  96. Ageliki Anagnostou & Piotr Krajewski & Katarzyna Pilat, 2020. "Regional Specific Idiosyncrasies and Fiscal Policy: Evidence from 47 Regions of the Central and Eastern European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 936-954.
  97. John Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Staff Working Papers 07-1, Bank of Canada.
  98. repec:hal:spmain:info:hdl:2441/27od5pb99881folvtfs8s3k16l is not listed on IDEAS
  99. Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
  100. repec:onb:oenbwp:y::i:144:b:1 is not listed on IDEAS
  101. repec:onb:oenbwp:y::i:124:b:1 is not listed on IDEAS
  102. Valentin Jouvanceau, 2023. "Consumer price rigidity in periods of low and high inflation: the case of Lithuania," Bank of Lithuania Discussion Paper Series 34, Bank of Lithuania.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.