Forecasting Swedish Inflation With a Markov Switching VAR

Citations

Cited by:

1. Hautsch, Nikolaus & Voigt, Stefan, 2019. "Large-scale portfolio allocation under transaction costs and model uncertainty," Journal of Econometrics, Elsevier, vol. 212(1), pages 221-240.
   • Nikolaus Hautsch & Stefan Voigt, 2017. "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty," Papers 1709.06296, arXiv.org, revised Jun 2018.
   • Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
2. Lawrence Christiano & Mathias Trabandt & Karl Walentin, 2021. "Involuntary Unemployment and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 26-54, January.
   • Christiano, Lawrence J. & Trabrandt, Mathias & Walentin, Karl, 2010. "Involuntary unemployment and the business cycle," Working Paper Series 1202, European Central Bank.
   • Lawrence J. Christiano & Mathias Trabandt & Karl Walentin, 2010. "Involuntary unemployment and the business cycle," FRB Atlanta CQER Working Paper 2010-03, Federal Reserve Bank of Atlanta.
   • Christiano, Lawrence J. & Trabrandt, Mathias & Walentin, Karl, 2010. "Involuntary Unemployment and the Business Cycle," Working Paper Series 238, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2012.
   • Mathias Trabandt & Karl Walentin & Lawrence Christiano, 2016. "Involuntary Unemployment and the Business Cycle," 2016 Meeting Papers 194, Society for Economic Dynamics.
   • Lawrence J. Christiano & Mathias Trabandt & Karl Walentin, 2010. "Involuntary Unemployment and the Business Cycle," NBER Working Papers 15801, National Bureau of Economic Research, Inc.
   • Lawrence Christiano & Mathias Trabandt & Karl Walentin, 2020. "Online Appendix to "Involuntary Unemployment and the Business Cycle"," Online Appendices 18-447, Review of Economic Dynamics.
   • Mathias Trabandt & Karl Walentin & Lawrence J. Christiano, 2010. "Involuntary Unemployment and the Business Cycle," 2010 Meeting Papers 129, Society for Economic Dynamics.
   • Lawrence Christiano & Mathias Trabandt & Karl Walentin, 2020. "Code and data files for "Involuntary Unemployment and the Business Cycle"," Computer Codes 18-447, Review of Economic Dynamics.
3. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
   • Roberto Duncan & Enrique Martínez García, 2018. "New Perspectives on Forecasting Inflation in Emerging Market Economies: An Empirical Assessment," Globalization Institute Working Papers 338, Federal Reserve Bank of Dallas.
4. Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
   • Capek, Jan & Crespo Cuaresma, Jesus & Hauzenberger, Niko & Reichel, Vlastimil, 2020. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," Department of Economics Working Paper Series 305, WU Vienna University of Economics and Business.
   • Jan Capek & Jesus Crespo Cuaresma & Niko Hauzenberger & Vlastimil Reichel, 2020. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," Department of Economics Working Papers wuwp305, Vienna University of Economics and Business, Department of Economics.
5. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
   • Gary Koop & Dimitris Korobilis, 2009. "Forecasting Inflation Using Dynamic Model Averaging," Working Paper series 34_09, Rimini Centre for Economic Analysis.
   • Koop, Gary & Korobilis, Dimitris, 2011. "Forecasting Inflation Using Dynamic Model Averaging," SIRE Discussion Papers 2011-40, Scottish Institute for Research in Economics (SIRE).
   • Koop, Gary & Korobilis, Dimitris, 2010. "Forecasting Inflation Using Dynamic Model Averaging," SIRE Discussion Papers 2010-113, Scottish Institute for Research in Economics (SIRE).
   • Gary Koop & Dimitris Korobilis, 2011. "Forecasting Inflation Using Dynamic Model Averaging," Working Papers 1119, University of Strathclyde Business School, Department of Economics.
6. Zijie Tang, 2019. "Economic Cycle and the Large-Scale Asset Allocation Strategy of Chinese National Social Security Fund," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(12), pages 1405-1418, December.
7. Constantinescu, Mihnea & Nguyen, Anh Dinh Minh, 2021. "A century of gaps: Untangling business cycles from secular trends," Economic Modelling, Elsevier, vol. 100(C).
8. Davidson Heath, 2019. "Macroeconomic Factors in Oil Futures Markets," Management Science, INFORMS, vol. 65(9), pages 4407-4421, September.
9. Antonio Gargano & Davide Pettenuzzo & Allan Timmermann, 2019. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Management Science, INFORMS, vol. 65(2), pages 508-540, February.
   • Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75R, Brandeis University, Department of Economics and International Business School, revised Jul 2016.
   • Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75, Brandeis University, Department of Economics and International Business School.
   • Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
10. Gantert, Konstantin, 2022. "The impact of active aggregate demand on utilisation-adjusted TFP," IWH Discussion Papers 9/2022, Halle Institute for Economic Research (IWH).
11. Fabian Eser & Peter Karadi & Philip R. Lane & Laura Moretti & Chiara Osbat, 2020. "The Phillips Curve at the ECB," Manchester School, University of Manchester, vol. 88(S1), pages 50-85, September.
    • Eser, Fabian & Lane, Philip & Moretti, Laura & Osbat, Chiara & Karadi, Peter, 2020. "The Phillips Curve at the ECB," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224627, Verein für Socialpolitik / German Economic Association.
    • Eser, Fabian & Karadi, Peter & Lane, Philip R. & Moretti, Laura & Osbat, Chiara, 2020. "The Phillips Curve at the ECB," Working Paper Series 2400, European Central Bank.
12. Vincent Dropsy & Nathalie Grand, 2004. "Exchange Rate and Inflation Targeting in Morocco and Tunisia," Working Papers 0421, Economic Research Forum, revised 10 2004.
13. Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
    • John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2020. "Commodity Futures Return Predictability and Intertemporal Asset Pricing," Working Papers 202011, Geary Institute, University College Dublin.
    • John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2023. "Commodity futures return predictability and intertemporal asset pricing," Post-Print hal-04192933, HAL.
14. Bourioune, Tahar & Chiad, Faycal, 2022. "Estimation de l’IPC par les modèles non paramétriques : cas de l’Algérie [CPI estimation by non parametric models: case of Algeria]," MPRA Paper 113783, University Library of Munich, Germany, revised 2022.
15. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    • Oguzhan Akgun & Alain Pirotte & Giovanni Urga, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," Post-Print hal-04120413, HAL.
16. Bertrand Achou & Hippolyte d'Albis & Eleni Iliopulo, 2021. "House prices and rents: a reappraisal," Cahiers de recherche / Working Papers 6, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
17. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
18. Paloviita, Maritta & Mayes, David, 2005. "The use of real-time information in Phillips-curve relationships for the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 415-434, December.
    • Paloviita, Maritta & Mayes, David, 2004. "The use of real-time information in Phillips curve relationships for the euro area," Discussion Paper Series 1: Economic Studies 2004,28, Deutsche Bundesbank.
    • Paloviita, Maritta & Mayes, David G., 2004. "The use of real time information in Phillips curve relationships for the euro area," Bank of Finland Research Discussion Papers 16/2004, Bank of Finland.
19. Zhihong Chen & Azhar Iqbal & Huiwen Lai, 2011. "Forecasting the probability of US recessions: a Probit and dynamic factor modelling approach," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 651-672, May.
    • Zhihong Chen & Azhar Iqbal & Huiwen Lai, 2011. "Forecasting the probability of US recessions: a Probit and dynamic factor modelling approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(2), pages 651-672, May.
20. Kaloyan Ganev, 2020. "Real-Time vs. Full-Sample Performance of One-Sided and Two-Sided HP Filters. An Application to 27 EU Member States’ GDP Data," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(3), pages 251-272, September.
21. Bertrand Achou & Hippolyte d'Albis & Eleni Iliopulos, 2021. "Real Estate and Rental Markets during Covid Times," Documents de recherche 21-02, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    • Bertrand Achou & Hippolyte d'Albis & Eleni Iliopulos, 2021. "Real Estate and Rental Markets during Covid Times," Working Papers halshs-03231807, HAL.
    • Bertrand Achou & Hippolyte d'Albis & Eleni Iliopulos, 2021. "Real Estate and Rental Markets during Covid Times," PSE Working Papers halshs-03231807, HAL.
22. Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020. "A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth," International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
    • Tony Chernis & Calista Cheung & Gabriella Velasco, 2017. "A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth," Discussion Papers 17-8, Bank of Canada.
23. W. Scott Frame & Nika Lazaryan & Ping McLemore & Atanas Mihov, 2022. "Operational Loss Recoveries and the Macroeconomic Environment: Evidence from the U.S. Banking Sector," Working Papers 2215, Federal Reserve Bank of Dallas.
24. Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
    • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
    • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
25. Lingfeng Li, 2003. "Macroeconomic Factors and the Correlation of Stock and Bond Returns," Yale School of Management Working Papers ysm328, Yale School of Management.
26. Bhattacharya, Rudrani & Kapoor, Mrigankshi, 2020. "Forecasting Consumer Price Index Inflation in India: Vector Error Correction Mechanism Vs. Dynamic Factor Model Approach for Non-Stationary Time Series," Working Papers 20/323, National Institute of Public Finance and Policy.
27. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    • Bańbura, Marta & Bobeica, Elena, 2020. "Does the Phillips curve help to forecast euro area inflation?," Working Paper Series 2471, European Central Bank.
28. Le Ha Thu & Roberto Leon-Gonzalez, 2021. "Forecasting Macroeconomic Variables in Emerging Economies: An Application to Vietnam," GRIPS Discussion Papers 21-03, National Graduate Institute for Policy Studies.
29. Clements, Michael P. & Reade, J. James, 2020. "Forecasting and forecast narratives: The Bank of England Inflation Reports," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1488-1500.
30. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
31. Han, Liyan & Jin, Jiayu & Wu, Lei & Zeng, Hongchao, 2020. "The volatility linkage between energy and agricultural futures markets with external shocks," International Review of Financial Analysis, Elsevier, vol. 68(C).
32. Amélie Charles & Olivier Darné, 2021. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 15(2), pages 419-442, May.
    • Amélie Charles & Olivier Darné, 0. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 0, pages 1-24.
    • Amélie Charles & Olivier Darné, 2021. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 15(2), pages 419-442, May.
    • Amélie Charles & Olivier Darné, 2021. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Post-Print hal-03186891, HAL.
33. Christiane Baumeister & Lutz Kilian, 2014. "What Central Bankers Need To Know About Forecasting Oil Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 869-889, August.
    • Kilian, Lutz & Baumeister, Christiane, 2012. "What Central Bankers Need to Know about Forecasting Oil Prices," CEPR Discussion Papers 9118, C.E.P.R. Discussion Papers.
    • Christiane Baumeister & Lutz Kilian, 2013. "What Central Bankers Need to Know about Forecasting Oil Prices," Staff Working Papers 13-15, Bank of Canada.
34. Pham, Binh Thai & Sala, Hector & Silva, José I., 2020. "Growth and real business cycles in Vietnam and the Asean-5. Does the trend shock matter?," Economic Systems, Elsevier, vol. 44(1).
    • Pham, Binh T. & Sala, Hector & Silva, José I., 2018. "Growth and real business cycles in Vietnam and the ASEAN-5. Does the trend shock matter?," MPRA Paper 90297, University Library of Munich, Germany.
35. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, August.
36. Elmar Mertens & James M. Nason, 2020. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, vol. 11(4), pages 1485-1520, November.
    • Elmar Mertens & James M Nason, 2015. "Inflation and Professional Forecast Dynamics: An Evaluation of Stickiness, Persistence, and Volatility," CAMA Working Papers 2015-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Elmar Mertens & James M. Nason, 2018. "Inflation and professional forecast dynamics: an evaluation of stickiness, persistence, and volatility," BIS Working Papers 713, Bank for International Settlements.
    • Elmar Mertens & James M. Nason, 2017. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," CAMA Working Papers 2017-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
37. Donadelli, Michael & Jüppner, Marcus & Prosperi, Lorenzo, 2019. "Risk weighting, private lending and macroeconomic dynamics," Discussion Papers 30/2019, Deutsche Bundesbank.
38. Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
    • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Papers 2019_07, Business School - Economics, University of Glasgow.
    • Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
    • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
    • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
39. Mili, Mehdi & Sahut, Jean-Michel & Teulon, Frédéric, 2012. "Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence," Economic Modelling, Elsevier, vol. 29(3), pages 734-741.
40. Ooft, Gavin & Bhaghoe, Sailesh & Hans Franses, Philip, 2021. "Forecasting annual inflation in Suriname," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    • Ooft, G. & Bhaghoe, S. & Franses, Ph.H.B.F., 2019. "Forecasting Annual Inflation in Suriname," Econometric Institute Research Papers EI2019-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
41. Matei Demetrescu & Christoph Hanck & Robinson Kruse‐Becher, 2022. "Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1010-1030, August.
42. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
43. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," BEMPS - Bozen Economics & Management Paper Series BEMPS88, Faculty of Economics and Management at the Free University of Bozen.
    • Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," CIRANO Working Papers 2021s-33, CIRANO.
    • Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," Cahiers de recherche / Working Papers 2105, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics.
44. Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2022. "A Suggestion For A Dynamic Multifactor Model (Dmfm)," Macroeconomic Dynamics, Cambridge University Press, vol. 26(6), pages 1423-1443, September.
    • Heather D. Gibson & Stephen G. Hall & George S. Tavlas, 2020. "A Suggestion for a Dynamic Multi Factor Model (DMFM)," Working Papers 282, Bank of Greece.
45. Anna Staszewska-Bystrova & Victor Bystrov, 2022. "The Evolution of Fiscal Policy and Public Debt Dynamics: The Case of Sweden," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 67-83.
46. Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2019. "Forecasting with instabilities: An application to DSGE models with financial frictions," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    • Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    • Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2019. "Forecasting with instabilities: an application to DSGE models with financial frictions," Temi di discussione (Economic working papers) 1234, Bank of Italy, Economic Research and International Relations Area.
47. Roccazzella, Francesco & Candelon, Bertrand, 2022. "Should we care about ECB inflation expectations?," LIDAM Discussion Papers LFIN 2022004, Université catholique de Louvain, Louvain Finance (LFIN).
48. Doina Chichernea & Kershen Huang & Alex Petkevich, 2019. "Does maturity matter? The case of treasury futures volume," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1301-1321, October.
49. Afees A. Salisu & Raymond Swaray & Hadiza Sa'id, 2021. "Improving forecasting accuracy of the Phillips curve in OECD countries: The role of commodity prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2946-2975, April.
50. Grand Nathalie & Dropsy Vincent, 2005. "Exchange Rate And Inflation Targeting In Morocco And Tunisia," Macroeconomics 0507018, University Library of Munich, Germany.
51. Gantert, Konstantin, 2022. "The Impact of Active Aggregate Demand on Utilization-Adjusted TFP," VfS Annual Conference 2022 (Basel): Big Data in Economics 264103, Verein für Socialpolitik / German Economic Association.
52. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    • Karol Szafranek, 2017. "Bagged artificial neural networks in forecasting inflation: An extensive comparison with current modelling frameworks," NBP Working Papers 262, Narodowy Bank Polski.
53. Oyenyinka Sunday Omoshoro‐Jones & Lumengo Bonga‐Bonga, 2022. "Intra‐regional spillovers from Nigeria and South Africa to the rest of Africa: New evidence from a FAVAR model," The World Economy, Wiley Blackwell, vol. 45(1), pages 251-275, January.
    • Omoshoro-Jones, Oyeyinka Sunday & Bonga-Bonga, Lumengo, 2020. "Intra-regional spillovers from Nigeria and South Africa to the rest of Africa: New evidence from a FAVAR model," MPRA Paper 99514, University Library of Munich, Germany.
54. Sung Won Seo & Suk Joon Byun & Jun Sik Kim, 2020. "Index options open interest and stock market returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 989-1010, June.
55. Florian Huber & Michael Pfarrhofer & Philipp Piribauer, 2020. "A multi‐country dynamic factor model with stochastic volatility for euro area business cycle analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 911-926, September.
    • Florian Huber & Michael Pfarrhofer & Philipp Piribauer, 2020. "A multi-country dynamic factor model with stochastic volatility for euro area business cycle analysis," Papers 2001.03935, arXiv.org.
56. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2019. "Forecast density combinations with dynamic learning for large data sets in economics and finance," Working Paper 2019/7, Norges Bank.
    • Roberto Casarin & Stefano Grassi & Francesco Ravazzollo & Herman K. van Dijk, 2019. "Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 19-025/III, Tinbergen Institute.
57. Lu, Fei & Ma, Feng & Li, Pan & Huang, Dengshi, 2022. "Natural gas volatility predictability in a data-rich world," International Review of Financial Analysis, Elsevier, vol. 83(C).
58. Kevin S. Nell, 2006. "Structural Change And Nonlinearities In A Phillips Curve Model For South Africa," Contemporary Economic Policy, Western Economic Association International, vol. 24(4), pages 600-617, October.
59. Barbara Roffia & Andrea Zaghini, 2007. "Excess Money Growth and Inflation Dynamics," International Finance, Wiley Blackwell, vol. 10(3), pages 241-280, December.
    • Roffia, Barbara & Zaghini, Andrea, 2007. "Excess money growth and inflation dynamics," Working Paper Series 749, European Central Bank.
    • Barbara Roffia & Andrea Zaghini, 2008. "Excess money growth and inflation dynamics," Temi di discussione (Economic working papers) 657, Bank of Italy, Economic Research and International Relations Area.
60. Pincheira-Brown, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2019. "Forecasting inflation in Latin America with core measures," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1060-1071.
    • Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2017. "Forecasting Inflation in Latin America with Core Measures," MPRA Paper 80496, University Library of Munich, Germany.
61. Jean-michel Sahut & Medhi Mili & Frédéric Teulon, 2012. "What is the linkage between real growth in the Euro area and global financial market conditions?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2464-2480.
    • Jean-Michel Sahut & Medhi Mili & Frédéric Teulon, 2014. "What is the linkage between real growth in the Euro area and global financial market conditions ?," Working Papers 2014-324, Department of Research, Ipag Business School.
62. Anthoulla Phella, 2020. "Consistent Specification Test of the Quantile Autoregression," Papers 2010.03898, arXiv.org, revised Jan 2024.
63. Peter C. B. Phillips & Sainan Jin, 2021. "Business Cycles, Trend Elimination, And The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 469-520, May.
    • Peter C. B. Phillips & Sainan Jin, 2015. "Business Cycles, Trend Elimination, and the HP Filter," Cowles Foundation Discussion Papers 2005, Cowles Foundation for Research in Economics, Yale University.
64. Niko Hauzenberger & Florian Huber & Karin Klieber & Massimiliano Marcellino, 2022. "Bayesian Neural Networks for Macroeconomic Analysis," Papers 2211.04752, arXiv.org, revised Apr 2024.
    • Hauzenberger , Niko & Huber, Florian & Klieber, Karin & Marcellino, Massimiliano, 2024. "Bayesian Neural Networks for Macroeconomic Analysis," CEPR Discussion Papers 19381, C.E.P.R. Discussion Papers.
65. Kimolo, Deogratius, 2009. "Modelling and Forecasting Inflation in Tanzania: A Univariate Time Series Analysis," MPRA Paper 114782, University Library of Munich, Germany.
66. McKnight, Stephen & Mihailov, Alexander & Rumler, Fabio, 2020. "Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend," Economic Modelling, Elsevier, vol. 87(C), pages 383-393.
    • Stephen McKnight & Alexander Mihailov & Kerry Patterson & Fabio Rumler, 2014. "The Predictive Performance of Fundamental Inflation Concepts: An Application to the Euro Area and the United States," Economics Discussion Papers em-dp2014-03, Department of Economics, University of Reading.
    • Stephen McKnight & Alexander Mihailov & Fabio Rumler, 2018. "NKPC-Based Inflation Forecasts with a Time-Varying Trend," Serie documentos de trabajo del Centro de Estudios Económicos 2018-05, El Colegio de México, Centro de Estudios Económicos.
67. Julie Smith, 2005. "Inflation targeting and core inflation," Canadian Journal of Economics, Canadian Economics Association, vol. 38(3), pages 1018-1036, August.
    • Julie K. Smith, 2005. "Inflation targeting and core inflation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(3), pages 1018-1036, August.
68. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
69. Khan, Zeeshan & Hussain, Muzzammil & Shahbaz, Muhammad & Yang, Siqun & Jiao, Zhilun, 2020. "Natural resource abundance, technological innovation, and human capital nexus with financial development: A case study of China," Resources Policy, Elsevier, vol. 65(C).
70. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2020. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Working Paper series 20-27, Rimini Centre for Economic Analysis.
    • Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
71. Aparicio, Diego & Bertolotto, Manuel I., 2020. "Forecasting inflation with online prices," International Journal of Forecasting, Elsevier, vol. 36(2), pages 232-247.
72. Garegnani, Lorena & Gómez Aguirre, Maximiliano, 2018. "Forecasting Inflation in Argentina," IDB Publications (Working Papers) 8940, Inter-American Development Bank.
73. William A. Barnett & Sohee Park, 2023. "Forecasting inflation and output growth with credit‐card‐augmented Divisia monetary aggregates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 331-346, March.
    • William A. Barnett & Sohee Park, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202120, University of Kansas, Department of Economics, revised Oct 2021.
    • Barnett, William & Park, Sohee, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," MPRA Paper 110298, University Library of Munich, Germany.
74. Ibrahim L. Awad, 2019. "Revisiting the Exchange Rate Pass-Through to Domestic Inflation in Egypt: Why Is the Statistical Association Weak in the Short Run?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 18(1), pages 59-78, June.
75. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
76. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
77. Choi, Jin Ho & Suh, Sangwon, 2021. "A filtered currency carry trade," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
78. Mohsen Khezri & Seyed Ehsan Hosseinidoust & Mohammad Kazem Naziri, 2019. "Investigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(1), pages 209-234, Winter.
79. Gonzalo, Jesús & Pitarakis, Jean-Yves, 2021. "Spurious relationships in high-dimensional systems with strong or mild persistence," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1480-1497.
    • Pitarakis, Jean-Yves, 2020. "Spurious relationships in high dimensional systems with strong or mild persistence," UC3M Working papers. Economics 31553, Universidad Carlos III de Madrid. Departamento de Economía.
80. Bo Zhang & Jamie Cross & Na Guo, 2020. "Time-Varying Trend Models for Forecasting Inflation in Australia," Working Papers No 09/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
81. Josefine Quast & Maik H. Wolters, 2022. "Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 152-168, January.
    • Quast, Josefine & Wolters, Maik H., 2019. "Reliable real-time output gap estimates based on a modified Hamilton filter," IMFS Working Paper Series 133, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    • Quast, Josefine & Wolters, Maik H., 2019. "Reliable Real-time Output Gap Estimates Based on a Modified Hamilton Filter," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203535, Verein für Socialpolitik / German Economic Association.
    • Quast, Josefine & Wolters, Maik H., 2020. "Reliable real-time output gap estimates based on a modified Hamilton filter," Kiel Working Papers 2158, Kiel Institute for the World Economy (IfW Kiel).
82. 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.
83. Lopez-Buenache, German, 2019. "The evolution of monetary policy effectiveness under macroeconomic instability," Economic Modelling, Elsevier, vol. 83(C), pages 221-233.
84. Bhaghoe, Sailesh & Ooft, Gavin, 2021. "Nowcasting Quarterly GDP Growth in Suriname with Factor-MIDAS and Mixed-Frequency VAR Models," Studies in Applied Economics 176, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
85. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    • Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
86. Fasanya, Ismail O. & Awodimila, Crystal P., 2020. "Are commodity prices good predictors of inflation? The African perspective," Resources Policy, Elsevier, vol. 69(C).
87. Niko Hauzenberger & Daniel Kaufmann & Rebecca Stuart & Cédric Tille, 2022. "What Drives Long-Term Interest Rates? Evidence from the Entire Swiss Franc History 1852-2020," IRENE Working Papers 22-03, IRENE Institute of Economic Research.
88. Muellbauer, John, 2018. "The Future of Macroeconomics," INET Oxford Working Papers 2018-10, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
89. In Choi & Hanbat Jeong, 2020. "Differencing versus nondifferencing in factor‐based forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 728-750, September.
90. Na Guo & Bo Zhang & Jamie L. Cross, 2022. "Time‐varying trend models for forecasting inflation in Australia," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 316-330, March.
91. Koffi, Siméon, 2022. "Prévision de l’inflation en Côte D’ivoire : Analyse Comparée des Modèles Arima, Holt-Winters, et Lstm [Inflation Forecasting in Côte D'Ivoire: A Comparative Analysis of the Arima, Holt-Winters, and," MPRA Paper 113961, University Library of Munich, Germany.
92. Davidson, James, 2004. "Forecasting Markov-switching dynamic, conditionally heteroscedastic processes," Statistics & Probability Letters, Elsevier, vol. 68(2), pages 137-147, June.
93. Jan Prüser, 2021. "Forecasting US inflation using Markov dimension switching," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 481-499, April.
94. Mehmet Ezer, 2019. "Do Monetary Aggregates Belong In A Monetary Model? Evidence From The Uk," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 509-530, December.
95. Andrejs Bessonovs & Olegs Krasnopjorovs, 2021. "Short-term inflation projections model and its assessment in Latvia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 21(2), pages 184-204.
    • Andrejs Bessonovs & Olegs Krasnopjorovs, 2020. "Short-Term Inflation Projections Model and Its Assessment in Latvia," Working Papers 2020/01, Latvijas Banka.
96. Kate Ivory & Eddie Casey & Niall Conroy, 2020. "Ireland’s Fiscal Spending Multipliers," The Economic and Social Review, Economic and Social Studies, vol. 51(1), pages 133-172.
97. Jane Ihrig & Jaime Marquez, 2004. "An Empirical Analysis of Inflation in OECD Countries," International Finance, Wiley Blackwell, vol. 7(1), pages 61-84, March.
98. Jonas Dovern & Christopher Zuber, 2020. "Recessions and Potential Output: Disentangling Measurement Errors, Supply Shocks, and Hysteresis Effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(4), pages 1431-1466, October.
99. Gianluca Laganà & Andrew Mountford, 2005. "Measuring Monetary Policy In The Uk: A Factor‐Augmented Vector Autoregression Model Approach," Manchester School, University of Manchester, vol. 73(s1), pages 77-98, September.
100. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
101. Luca Brugnolini & Giuseppe Ragusa, 2022. "Euro Area Deflationary Pressure Index," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 883-900, October.
102. Eddie Casey, 2019. "Inside the "Upside Down": Estimating Ireland's Output Gap," The Economic and Social Review, Economic and Social Studies, vol. 50(1), pages 5-34.
103. Thu, Le Ha & Leon-Gonzalez, Roberto, 2021. "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, vol. 77(C).
104. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
105. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
     • Garratt, Anthony & Petrella, Ivan, 2019. "Commodity Prices and Inflation Risk," EMF Research Papers 23, Economic Modelling and Forecasting Group.
106. Solikin M. Juhro & Bernard Njindan Iyke, 2019. "Forecasting Indonesian Inflation Within An Inflation-Targeting Framework: Do Large-Scale Models Pay Off?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 423-436, December.
107. Ibrahim L. Awad, 2019. "Revisiting the Exchange Rate Pass-Through to Domestic Inflation in Egypt: Why Is the Statistical Association Weak in the Short Run?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 18(1), pages 59-77, June.
108. Khemiri, Rim & Ali, Mohamed Sami Ben, 2013. "Exchange rate pass-through and inflation dynamics in Tunisia: A Markov-switching approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-30.
109. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
110. James H. James & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," Working Papers 2005-2, Princeton University. Economics Department..
111. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager, 2019. "Systemic early warning systems for EU14 based on the 2008 crisis: proposed estimation and model assessment for classification forecasting," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(3), pages 226-244, September.
112. Wolf, Elias & Mokinski, Frieder & Schüler, Yves, 2020. "On adjusting the one-sided Hodrick-Prescott filter," Discussion Papers 11/2020, Deutsche Bundesbank.