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Michał Rubaszek
(Michal Rubaszek)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Michal Rubaszek & Margarita Rubio, 2017. "Does rental housing market stabilize the economy? A micro and macro perspective," Discussion Papers 2017/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).

    Mentioned in:

    1. Does rental housing market stabilize the economy? A micro and macro perspective.
      by Christian Zimmermann in NEP-DGE blog on 2017-09-26 20:45:35
  2. Kolasa, Marcin & Rubaszek, Michał & Skrzypczyński, Paweł, 2009. "Putting the New Keynesian DSGE model to the real-time forecasting test," Working Paper Series 1110, European Central Bank.

    Mentioned in:

    1. DSGE models and forecasting
      by Christian Zimmermann in NEP-DGE blog on 2009-12-21 06:35:25

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Rubaszek, Michal & Skrzypczynski, Pawel, 2008. "On the forecasting performance of a small-scale DSGE model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 498-512.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models > Forecasting with DSGE Models

Working papers

  1. Michał Rubaszek & Karol Szafranek, 2022. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," KAE Working Papers 2022-078, Warsaw School of Economics, Collegium of Economic Analysis.

    Cited by:

    1. Goodell, John W. & Gurdgiev, Constantin & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Global energy supply risk: Evidence from the reactions of European natural gas futures to Nord Stream announcements," Energy Economics, Elsevier, vol. 125(C).
    2. Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).
    3. Michał Rubaszek & Karol Szafranek, 2025. "The European energy crisis and the US natural gas market dynamics: a structural VAR investigation," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-22, February.
    4. Bańbura, Marta & Bobeica, Elena & Martínez Hernández, Catalina, 2023. "What drives core inflation? The role of supply shocks," Working Paper Series 2875, European Central Bank.

  2. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.

    Cited by:

    1. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).

  3. Mijakovic, Andrej & Rubaszek, Michał & Ca' Zorzi, Michele & Cap, Adam, 2020. "The predictive power of equilibrium exchange rate models," Working Paper Series 2358, European Central Bank.

    Cited by:

    1. Boris Fisera & Roman Horvath, 2020. "Are Exchange Rates Less Important for Trade in a More Globalized World? Evidence for the New EU Members," Working Papers IES 2020/10, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2020.
    2. Claire Giordano, 2019. "How frequent a BEER? Assessing the impact of data frequency on real exchange rate misalignment estimation," Questioni di Economia e Finanza (Occasional Papers) 522, Bank of Italy, Economic Research and International Relations Area.
    3. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    4. Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
    5. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    6. Biagio Bossone, 2021. "Exercising Economic Sovereignty in Today's Global Financial World: The Lessons from John Maynard Keynes," Working Papers PKWP2120, Post Keynesian Economics Society (PKES).
    7. Kwas, Marek & Beckmann, Joscha & Rubaszek, Michał, 2024. "Are consensus FX forecasts valuable for investors?," International Journal of Forecasting, Elsevier, vol. 40(1), pages 268-284.
    8. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
    9. Bacchetta, Philippe & Chikhani, Pauline, 2020. "On the Weakness of the Swedish Krona," CEPR Discussion Papers 15468, C.E.P.R. Discussion Papers.
    10. Valery Smirnov, 2023. "The Russian Rouble Crisis of December 2014: An Alternative View," Russian Journal of Money and Finance, Bank of Russia, vol. 82(1), pages 137-144, March.
    11. Biagio Bossone, 2021. "Global Capital, the Exchange Rate, and Policy (In)Effectiveness," Working Papers PKWP2113, Post Keynesian Economics Society (PKES).

  4. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.

    Cited by:

    1. Nie, Yan & Zhang, Guoxing & Zhong, Luhao & Su, Bin & Xi, Xi, 2024. "Urban‒rural disparities in household energy and electricity consumption under the influence of electricity price reform policies," Energy Policy, Elsevier, vol. 184(C).
    2. Said Rosli & Sulaimi Mardhiati & Majid Rohayu Ab & Aini Ainoriza Mohd & Olanrele Olusegun Olaopin & Akinsomi Omokolade, 2024. "Evaluating Market Attributes and Housing Affordability: Gaining Perspective on Future Value Trends," Real Estate Management and Valuation, Sciendo, vol. 32(3), pages 87-100.
    3. Martin McCarthy, Stephen Snudden, 2024. "Forecasts of Period-Average Exchange Rates: New Insights from Real-Time Daily Data," LCERPA Working Papers jc0148, Laurier Centre for Economic Research and Policy Analysis, revised Oct 2024.
    4. Raja, Aitazaz Ali & Pinson, Pierre & Kazempour, Jalal & Grammatico, Sergio, 2024. "A market for trading forecasts: A wagering mechanism," International Journal of Forecasting, Elsevier, vol. 40(1), pages 142-159.
    5. Simon Hirsch & Jonathan Berrisch & Florian Ziel, 2024. "Online Distributional Regression," Papers 2407.08750, arXiv.org, revised Aug 2024.
    6. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review," Energies, MDPI, vol. 16(6), pages 1-23, March.
    7. Jozef Barunik & Lubos Hanus, 2023. "Learning Probability Distributions of Day-Ahead Electricity Prices," Papers 2310.02867, arXiv.org, revised Oct 2023.
    8. Xiaoqian Wang & Yanfei Kang & Rob J Hyndman & Feng Li, 2020. "Distributed ARIMA Models for Ultra-long Time Series," Monash Econometrics and Business Statistics Working Papers 29/20, Monash University, Department of Econometrics and Business Statistics.
    9. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).
    10. Racek, Daniel & Thurner, Paul W. & Davidson, Brittany I. & Zhu, Xiao Xiang & Kauermann, Göran, 2024. "Conflict forecasting using remote sensing data: An application to the Syrian civil war," International Journal of Forecasting, Elsevier, vol. 40(1), pages 373-391.
    11. Huang, Congzhi & Yang, Mengyuan, 2023. "Memory long and short term time series network for ultra-short-term photovoltaic power forecasting," Energy, Elsevier, vol. 279(C).
    12. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    13. Wesley Marcos Almeida & Claudimar Pereira Veiga, 2023. "Does demand forecasting matter to retailing?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 219-232, June.
    14. Anna Sznajderska & Alfred A. Haug, 2023. "Bayesian VARs of the U.S. economy before and during the pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 211-236, June.
    15. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common factors and the dynamics of cereal prices. A forecasting perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    16. Grzegorz Marcjasz & Micha{l} Narajewski & Rafa{l} Weron & Florian Ziel, 2022. "Distributional neural networks for electricity price forecasting," Papers 2207.02832, arXiv.org, revised Dec 2022.
    17. Bernhard Tröster & Ulrich Gunter, 2023. "The Financialization of Coffee, Cocoa and Cotton Value Chains: The Role of Physical Actors," Development and Change, International Institute of Social Studies, vol. 54(6), pages 1550-1574, November.
    18. Tetiana Zatonatska & Olena Liashenko & Yana Fareniuk & Oleksandr Dluhopolskyi & Artur Dmowski & Marzena Cichorzewska, 2022. "The Migration Influence on the Forecasting of Health Care Budget Expenditures in the Direction of Sustainability: Case of Ukraine," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    19. Jeroen Rombouts & Marie Ternes & Ines Wilms, 2024. "Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning," Papers 2402.09033, arXiv.org, revised May 2024.
    20. Jonathan Berrisch & Florian Ziel, 2022. "Distributional modeling and forecasting of natural gas prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1065-1086, September.
    21. Oscar Espinosa & Valeria Bejarano & Jeferson Ramos & Boris Martínez, 2023. "Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning: historical comparability analysis for the Colombian health system, 2015–2021," Health Economics Review, Springer, vol. 13(1), pages 1-20, December.
    22. Shanshan Wang & Shih‐Chih Chen & Mohd Helmi Ali & Ming‐Lang Tseng, 2024. "Nexus of environmental, social, and governance performance in China‐listed companies: Disclosure and green bond issuance," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 1647-1660, March.
    23. Alroomi, Azzam & Karamatzanis, Georgios & Nikolopoulos, Konstantinos & Tilba, Anna & Xiao, Shujun, 2022. "Fathoming empirical forecasting competitions’ winners," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1519-1525.
    24. Rai, Amit & Shrivastava, Ashish & Jana, Kartick C., 2023. "Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting," Energy, Elsevier, vol. 263(PC).
    25. Anita M. Bunea & Mariangela Guidolin & Piero Manfredi & Pompeo Della Posta, 2022. "Diffusion of Solar PV Energy in the UK: A Comparison of Sectoral Patterns," Forecasting, MDPI, vol. 4(2), pages 1-21, April.
    26. Zheng, Zhuang & Shafique, Muhammad & Luo, Xiaowei & Wang, Shengwei, 2024. "A systematic review towards integrative energy management of smart grids and urban energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    27. Fernández, Joaquín Delgado & Menci, Sergio Potenciano & Lee, Chul Min & Rieger, Alexander & Fridgen, Gilbert, 2022. "Privacy-preserving federated learning for residential short-term load forecasting," Applied Energy, Elsevier, vol. 326(C).
    28. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.
    29. Li, Xin & Xu, Yechi & Law, Rob & Wang, Shouyang, 2024. "Enhancing tourism demand forecasting with a transformer-based framework," Annals of Tourism Research, Elsevier, vol. 107(C).
    30. Paul Ghelasi & Florian Ziel, 2023. "Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions," Papers 2305.16255, arXiv.org.
    31. Augusto Cerqua & Marco Letta & Gabriele Pinto, 2024. "On the (Mis)Use of Machine Learning with Panel Data," Papers 2411.09218, arXiv.org.
    32. Katarzyna Maciejowska & Bartosz Uniejewski & Rafa{l} Weron, 2022. "Forecasting Electricity Prices," Papers 2204.11735, arXiv.org.
    33. Allen, Sam & Koh, Jonathan & Segers, Johan & Ziegel, Johanna, 2024. "Tail calibration of probabilistic forecasts," LIDAM Discussion Papers ISBA 2024018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    34. Janczura, Joanna & Wójcik, Edyta, 2022. "Dynamic short-term risk management strategies for the choice of electricity market based on probabilistic forecasts of profit and risk measures. The German and the Polish market case study," Energy Economics, Elsevier, vol. 110(C).
    35. Heymann, Fabian & Milojevic, Tatjana & Covatariu, Andrei & Verma, Piyush, 2023. "Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options," Energy, Elsevier, vol. 262(PB).
    36. Spiliotis, Evangelos & Petropoulos, Fotios, 2024. "On the update frequency of univariate forecasting models," European Journal of Operational Research, Elsevier, vol. 314(1), pages 111-121.
    37. Ramos, Paulo Vitor B. & Villela, Saulo Moraes & Silva, Walquiria N. & Dias, Bruno H., 2023. "Residential energy consumption forecasting using deep learning models," Applied Energy, Elsevier, vol. 350(C).
    38. Ghelasi, Paul & Ziel, Florian, 2024. "Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions," International Journal of Forecasting, Elsevier, vol. 40(2), pages 581-596.
    39. Jacek Batóg & Barbara Batóg & Magdalena Mojsiewicz & Przemysław Pluskota, 2024. "Electrification of Public Urban Transport: Funding Opportunities, Bus Fleet, and Energy Use Forecasts for Poland," Energies, MDPI, vol. 17(23), pages 1-20, December.
    40. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
    41. Katarzyna Maciejowska & Weronika Nitka, 2024. "Multiple split approach -- multidimensional probabilistic forecasting of electricity markets," Papers 2407.07795, arXiv.org.
    42. Bergsteinsson, Hjörleifur G. & Sørensen, Mikkel Lindstrøm & Møller, Jan Kloppenborg & Madsen, Henrik, 2023. "Heat load forecasting using adaptive spatial hierarchies," Applied Energy, Elsevier, vol. 350(C).
    43. Nghia Chu & Binh Dao & Nga Pham & Huy Nguyen & Hien Tran, 2022. "Predicting Mutual Funds' Performance using Deep Learning and Ensemble Techniques," Papers 2209.09649, arXiv.org, revised Jul 2023.
    44. Mutele, Litshedzani & Carranza, Emmanuel John M., 2024. "Statistical analysis of gold production in South Africa using ARIMA, VAR and ARNN modelling techniques: Extrapolating future gold production, Resources–Reserves depletion, and Implication on South Afr," Resources Policy, Elsevier, vol. 93(C).
    45. Takahashi, Carlos Kazunari & Figueiredo, Júlio César Bastos de & Scornavacca, Eusebio, 2024. "Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    46. Li, Xishu & Zuidwijk, Rob & de Koster, M.B.M, 2023. "Optimal competitive capacity strategies: Evidence from the container shipping market," Omega, Elsevier, vol. 115(C).
    47. Pan Tang & Yuwei Zhang, 2024. "China's business cycle forecasting: a machine learning approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2783-2811, November.
    48. Richard Bean, 2023. "Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge," Energies, MDPI, vol. 16(3), pages 1-23, January.
    49. Emmanuel Senyo Fianu, 2022. "Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach," Forecasting, MDPI, vol. 4(2), pages 1-27, June.
    50. Joanna Janczura & Andrzej Puć, 2023. "ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation," Energies, MDPI, vol. 16(2), pages 1-28, January.
    51. Elalem, Yara Kayyali & Maier, Sebastian & Seifert, Ralf W., 2023. "A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1874-1894.
    52. Michael Pedersen, 2024. "Judgment in macroeconomic output growth predictions: Efficiency, accuracy and persistence," Papers 2404.04105, arXiv.org.
    53. Jun Meng & Jingfang Fan & Uma S. Bhatt & Jürgen Kurths, 2023. "Arctic weather variability and connectivity," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    54. Aitazaz Ali Raja & Pierre Pinson & Jalal Kazempour & Sergio Grammatico, 2022. "A Market for Trading Forecasts: A Wagering Mechanism," Papers 2205.02668, arXiv.org, revised Oct 2022.
    55. Niklas Valentin Lehmann, 2023. "Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts," Papers 2312.09081, arXiv.org.
    56. Silvia Golia & Luigi Grossi & Matteo Pelagatti, 2022. "Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices," Forecasting, MDPI, vol. 5(1), pages 1-21, December.
    57. Fałdziński, Marcin & Fiszeder, Piotr & Molnár, Peter, 2024. "Improving volatility forecasts: Evidence from range-based models," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    58. Qi, Lingzhi & Li, Xixi & Wang, Qiang & Jia, Suling, 2023. "fETSmcs: Feature-based ETS model component selection," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1303-1317.
    59. Guo, Su & Zheng, Kun & He, Yi & Kurban, Aynur, 2023. "The artificial intelligence-assisted short-term optimal scheduling of a cascade hydro-photovoltaic complementary system with hybrid time steps," Renewable Energy, Elsevier, vol. 202(C), pages 1169-1189.
    60. Swaminathan, Kritika & Venkitasubramony, Rakesh, 2024. "Demand forecasting for fashion products: A systematic review," International Journal of Forecasting, Elsevier, vol. 40(1), pages 247-267.
    61. Andrea Savio & Luigi De Giovanni & Mariangela Guidolin, 2022. "Modelling Energy Transition in Germany: An Analysis through Ordinary Differential Equations and System Dynamics," Forecasting, MDPI, vol. 4(2), pages 1-18, April.
    62. Radovan Šomplák & Veronika Smejkalová & Martin Rosecký & Lenka Szásziová & Vlastimír Nevrlý & Dušan Hrabec & Martin Pavlas, 2023. "Comprehensive Review on Waste Generation Modeling," Sustainability, MDPI, vol. 15(4), pages 1-29, February.

  5. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common factors and the dynamics of cereal prices. A forecasting perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Massimiliano Caporin & C. Vladimir Rodríguez-Caballero & Esther Ruiz, 2024. "The factor structure of exchange rates volatility: global and intermittent factors," Empirical Economics, Springer, vol. 67(1), pages 31-45, July.
    2. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

  6. Marcin Kolasa & Michał Rubaszek & Małgorzata Walerych, 2019. "Are flexible working hours helpful in stabilizing unemployment?," NBP Working Papers 319, Narodowy Bank Polski.

    Cited by:

    1. Noritaka Kudoh & Hiroaki Miyamoto, 2021. "General Equilibrium Effects and Labor Market Fluctuations," Working Papers SDES-2021-4, Kochi University of Technology, School of Economics and Management, revised May 2021.
    2. Hicham El Ouazzani & Hicham Ouakil & Abdelhamid Moustabchir, 2024. "Monetary Policy and Unemployment in Morocco: A DSGE Model Approach with Labor Market Frictions and Nash Wage Bargaining," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(4), pages 823-850, December.
    3. Kudoh, Noritaka & Miyamoto, Hiroaki, 2023. "Do general equilibrium effects matter for labor market dynamics?," Economic Modelling, Elsevier, vol. 119(C).
    4. Rujin, Svetlana, 2024. "Labor market institutions and technology-induced labor adjustment along the extensive and intensive margins," Journal of Macroeconomics, Elsevier, vol. 79(C).
    5. Tomasz Chmielewski & Andrzej Kocięcki & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Małgorzata Walerych & Ewa Wróbel, 2020. "Monetary policy transmission mechanism in Poland What do we know in 2019?," NBP Working Papers 329, Narodowy Bank Polski.
    6. Ivan D. Trofimov, 2024. "Is Business Cycle Gender Neutral? An Analysis of Aggregate and Sectoral Working Hours in Canadian Economy," Journal of Economics, Race, and Policy, Springer, vol. 7(3), pages 164-194, September.
    7. Soga, Lebene Richmond & Bolade-Ogunfodun, Yemisi & Mariani, Marcello & Nasr, Rita & Laker, Benjamin, 2022. "Unmasking the other face of flexible working practices: A systematic literature review," Journal of Business Research, Elsevier, vol. 142(C), pages 648-662.

  7. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.

    Cited by:

    1. Hordofa, Tolassa Temesgen & Liying, Song & Mughal, Nafeesa & Arif, Asma & Minh Vu, Hieu & Kaur, Prabjot, 2022. "Natural resources rents and economic performance: Post-COVID-19 era for G7 countries," Resources Policy, Elsevier, vol. 75(C).
    2. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    3. Anna Sznajderska & Alfred A. Haug, 2023. "Bayesian VARs of the U.S. economy before and during the pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 211-236, June.
    4. Zhang, Yaojie & He, Mengxi & Wen, Danyan & Wang, Yudong, 2023. "Forecasting crude oil price returns: Can nonlinearity help?," Energy, Elsevier, vol. 262(PB).
    5. Luo, Hongyuan & Wang, Deyun & Cheng, Jinhua & Wu, Qiaosheng, 2022. "Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction," Resources Policy, Elsevier, vol. 79(C).
    6. Shi, Tao & Li, Chongyang & Zhang, Wei & Zhang, Yi, 2023. "Forecasting on metal resource spot settlement price: New evidence from the machine learning model," Resources Policy, Elsevier, vol. 81(C).
    7. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.
    8. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).

  8. Michele Ca' Zorzi & Micha􏰀l Rubaszek, 2018. "Exchange rate forecasting on a napkin," GRU Working Paper Series GRU_2018_025, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.

    Cited by:

    1. Martin McCarthy, Stephen Snudden, 2024. "Forecasts of Period-Average Exchange Rates: New Insights from Real-Time Daily Data," LCERPA Working Papers jc0148, Laurier Centre for Economic Research and Policy Analysis, revised Oct 2024.
    2. Nasir, Muhammad Ali, 2020. "Forecasting inflation under uncertainty: The forgotten dog and the frisbee," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Liu, Congzheng & Letchford, Adam N. & Svetunkov, Ivan, 2022. "Newsvendor problems: An integrated method for estimation and optimisation," European Journal of Operational Research, Elsevier, vol. 300(2), pages 590-601.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).
    6. Charles Engel & Steve Pak Yeung Wu, 2021. "Forecasting the U.S. Dollar in the 21st Century," NBER Working Papers 28447, National Bureau of Economic Research, Inc.
    7. Feng, Wenjun & Zhang, Zhengjun, 2023. "Currency exchange rate predictability: The new power of Bitcoin prices," Journal of International Money and Finance, Elsevier, vol. 132(C).
    8. David Alaminos & M. Belén Salas & Manuel Á. Fernández-Gámez, 2023. "Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-21, December.
    9. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    10. Jackson, Karen & Magkonis, Georgios, 2024. "Exchange rate predictability: Fact or fiction?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    11. Oscar Claveria & Enric Monte & Petar Soric & Salvador Torra, 2022. ""An application of deep learning for exchange rate forecasting"," IREA Working Papers 202201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2022.
    12. Yang, Hu & Chen, Yu & Chen, Kedong & Wang, Haijun, 2024. "Temporal-spatial dependencies enhanced deep learning model for time series forecast," International Review of Financial Analysis, Elsevier, vol. 94(C).
    13. de Souza Vasconcelos, Camila & Hadad Júnior, Eli, 2023. "Forecasting exchange rate: A bibliometric and content analysis," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 607-628.
    14. Kwas, Marek & Beckmann, Joscha & Rubaszek, Michał, 2024. "Are consensus FX forecasts valuable for investors?," International Journal of Forecasting, Elsevier, vol. 40(1), pages 268-284.
    15. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
    16. Darvas, Zsolt & Schepp, Zoltán, 2024. "Exchange rates and fundamentals: Forecasting with long maturity forward rates," Journal of International Money and Finance, Elsevier, vol. 143(C).
    17. Wada, Tatsuma, 2022. "Out-of-sample forecasting of foreign exchange rates: The band spectral regression and LASSO," Journal of International Money and Finance, Elsevier, vol. 128(C).
    18. Krystian Jaworski, 2021. "Forecasting exchange rates for Central and Eastern European currencies using country‐specific factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 977-999, September.
    19. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.
    20. Jen Baggs & Loretta Fung & Beverly Lapham, 2021. "An Empirical Evaluation of the Effect of Covid-19 Travel Restrictions on Canadians' Cross Border Travel and Canadian Retailers," Working Paper 1457, Economics Department, Queen's University.

  9. Michal Rubaszek & Margarita Rubio, 2017. "Does rental housing market stabilize the economy? A micro and macro perspective," Discussion Papers 2017/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).

    Cited by:

    1. Vinicius Phillipe de Albuquerquemello & Cássio Besarria, 2020. "Rental market and macroeconomics: evidence for the US," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(3), pages 587-603, August.
    2. Michał Hebdzyński, 2024. "Price-setting factors or revealed preferences? How to understand the results of hedonic models and hedonic indices of the housing rental market that base on listings data?," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 519-550.
    3. Mateusz Tomal & Marco Helbich, 2023. "A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw," Environment and Planning B, , vol. 50(3), pages 579-599, March.
    4. Rubaszek Michał & Rubaszek Justyna, 2021. "Housing Tenure Preferences among Students from Two Polish Universities," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 71-83, June.
    5. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.
    6. Engerstam, Sviatlana & Warsame, Abukar & Wilhelmsson, Mats, 2022. "Long-term dynamics of new residential supply: A case study of the apartment segment in Sweden," Working Paper Series 22/5, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    7. Mateusz Tomal & Marco Helbich, 2022. "The private rental housing market before and during the COVID-19 pandemic: A submarket analysis in Cracow, Poland," Environment and Planning B, , vol. 49(6), pages 1646-1662, July.
    8. Adam Czerniak & Michał Rubaszek, 2018. "The Size of the Rental Market and Housing Market Fluctuations," Open Economies Review, Springer, vol. 29(2), pages 261-281, April.
    9. Marek Bryx & Janusz Sobieraj & Dominik Metelski & Izabela Rudzka, 2021. "Buying vs. Renting a Home in View of Young Adults in Poland," Land, MDPI, vol. 10(11), pages 1-31, November.
    10. Li, Yaoyao & Qi, Yuan & Liu, Licheng & Hou, Yuchen & Fu, Shuya & Yao, Jingtao & Zhu, Daolin, 2022. "Effect of increasing the rental housing supply on house prices: Evidence from China’s large and medium-sized cities," Land Use Policy, Elsevier, vol. 123(C).
    11. Camilo Meyberg & Ulrich Rendtel & Holger Leerhoff, 2024. "Flat rent price prediction in Berlin with web scraping," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 18(2), pages 245-278, June.

  10. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.

    Cited by:

    1. Kartono, Agus & Solekha, Siti & Sumaryada, Tony & Irmansyah,, 2021. "Foreign currency exchange rate prediction using non-linear Schrödinger equations with economic fundamental parameters," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    2. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    3. M S Eichenbaum & B K Johannsen & S T Rebelo, 2021. "Monetary Policy and the Predictability of Nominal Exchange Rates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 192-228.
    4. Martin McCarthy, Stephen Snudden, 2024. "Forecasts of Period-Average Exchange Rates: New Insights from Real-Time Daily Data," LCERPA Working Papers jc0148, Laurier Centre for Economic Research and Policy Analysis, revised Oct 2024.
    5. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    6. Bošnjak Mile & Novak Ivan & Vlajčić Davor, 2021. "Market Efficiency of Euro Exchange Rates and Trading Strategies," Naše gospodarstvo/Our economy, Sciendo, vol. 67(2), pages 10-19, June.
    7. Ca' Zorzi, Michele & Longaric, Pablo Anaya & Rubaszek, Michał, 2021. "The predictive power of equilibrium exchange rate models," Economic Bulletin Articles, European Central Bank, vol. 7.
    8. Marcin Kolasa & Michał Rubaszek, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," NBP Working Papers 282, Narodowy Bank Polski.
    9. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parrága, Susana & Carvalho,, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.
    10. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    11. Tomosk, Steve & Haysom, Joan E. & Wright, David, 2017. "Quantifying economic risk in photovoltaic power projects," Renewable Energy, Elsevier, vol. 109(C), pages 422-433.
    12. Sun, Shaolong & Wang, Shouyang & Wei, Yunjie, 2019. "A new multiscale decomposition ensemble approach for forecasting exchange rates," Economic Modelling, Elsevier, vol. 81(C), pages 49-58.
    13. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    14. Reinhard Ellwanger, Stephen Snudden, 2021. "Predictability of Aggregated Time Series," LCERPA Working Papers bm0127, Laurier Centre for Economic Research and Policy Analysis.
    15. Michal Rubaszek & Pawel Skrzypczynski & Grzegorz Koloch, 2011. "Forecasting the Polish zloty with non-linear models," NBP Working Papers 81, Narodowy Bank Polski.
    16. Paulo Canas Rodrigues & Olushina Olawale Awe & Jonatha Sousa Pimentel & Rahim Mahmoudvand, 2020. "Modelling the Behaviour of Currency Exchange Rates with Singular Spectrum Analysis and Artificial Neural Networks," Stats, MDPI, vol. 3(2), pages 1-21, June.
    17. Potì, Valerio & Levich, Richard & Conlon, Thomas, 2020. "Predictability and pricing efficiency in forward and spot, developed and emerging currency markets," Journal of International Money and Finance, Elsevier, vol. 107(C).
    18. David Alaminos & M. Belén Salas & Manuel Á. Fernández-Gámez, 2023. "Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-21, December.
    19. Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2018. "Long-Memory Modeling and Forecasting: Evidence from the U.S. Historical Series of Inflation," Working Papers 201869, University of Pretoria, Department of Economics.
    20. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    21. Firat Melih Yilmaz & Ozer Arabaci, 2021. "Should Deep Learning Models be in High Demand, or Should They Simply be a Very Hot Topic? A Comprehensive Study for Exchange Rate Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 217-245, January.
    22. Kharrat, Sabrine & Hammami, Yacine & Fatnassi, Ibrahim, 2020. "On the cross-sectional relation between exchange rates and future fundamentals," Economic Modelling, Elsevier, vol. 89(C), pages 484-501.
    23. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    24. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95, October –.
    25. Breen, John David & Hu, Liang, 2021. "The predictive content of oil price and volatility: New evidence on exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    26. Corbo, Vesna & Di Casola, Paola, 2020. "Drivers of consumer prices and exchange rates in small open economies," Working Paper Series 387, Sveriges Riksbank (Central Bank of Sweden).
    27. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.
    28. Adrian Marek Burda & Blazej Mazur & Mateusz Pawel Pipien, 2017. "Forecasting EUR/PLN Exchange Rate: the Role of Purchasing Power Parity Hypothesis in ESTVEC Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 97-114.
    29. Yugang He & Zhuoqi Teng, 2024. "Navigating Uncharted Waters: The Transformation of the Bank of Korea’s Monetary Policy in Response to Global Economic Uncertainty," Mathematics, MDPI, vol. 12(11), pages 1-24, May.
    30. Kose, M. Ayhan & Claessens, Stijn, 2017. "Asset Prices and Macroeconomic Outcomes: A Survey," CEPR Discussion Papers 12460, C.E.P.R. Discussion Papers.
    31. Kwas, Marek & Beckmann, Joscha & Rubaszek, Michał, 2024. "Are consensus FX forecasts valuable for investors?," International Journal of Forecasting, Elsevier, vol. 40(1), pages 268-284.
    32. Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020. "Mean-reversion, non-linearities and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 65(C).
    33. Corbo, Vesna & Di Casola, Paola, 2022. "Drivers of consumer prices and exchange rates in small open economies," Journal of International Money and Finance, Elsevier, vol. 122(C).

  11. Marcin Kolasa & Michal Rubaszek, 2016. "Does foreign sector help forecast domestic variables in DSGE models?," EcoMod2016 9393, EcoMod.

    Cited by:

    1. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    2. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    3. Rachatar Nilavongse & Michał Rubaszek & Karsten Staehr & Gazi Salah Uddin, 2021. "Foreign and Domestic Uncertainty Shocks in Four Open Economies," Open Economies Review, Springer, vol. 32(5), pages 933-954, November.
    4. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    5. Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.
    6. Sergii Kiiashko, 2018. "Applications for DSGE Models in Central Banking: Key Issues Explored During Research Workshop of the National Bank of Ukraine," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 246, pages 4-9.
    7. Van Nguyen, Phuong, 2020. "The Vietnamese business cycle in an estimated small open economy New Keynesian DSGE model," Dynare Working Papers 56, CEPREMAP.
    8. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.

  12. Michele Ca' Zorzi & Jakub Muck & Michal Rubaszek, 2015. "Real exchange rate forecasting and ppp: this time the random walk loses," Globalization Institute Working Papers 229, Federal Reserve Bank of Dallas.

    Cited by:

    1. M S Eichenbaum & B K Johannsen & S T Rebelo, 2021. "Monetary Policy and the Predictability of Nominal Exchange Rates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 192-228.
    2. Martin McCarthy, Stephen Snudden, 2024. "Forecasts of Period-Average Exchange Rates: New Insights from Real-Time Daily Data," LCERPA Working Papers jc0148, Laurier Centre for Economic Research and Policy Analysis, revised Oct 2024.
    3. Ca' Zorzi, Michele & Longaric, Pablo Anaya & Rubaszek, Michał, 2021. "The predictive power of equilibrium exchange rate models," Economic Bulletin Articles, European Central Bank, vol. 7.
    4. Shaowen Luo, 2023. "Risk and return in the foreign exchange market: Measurement without VARs," International Finance, Wiley Blackwell, vol. 26(1), pages 64-81, April.
    5. Yin-Wong Cheung & Menzie D. Chinn & Antonio Garcia Pascual & Yi Zhang, 2017. "Exchange Rate Prediction Redux: New Models, New Data, New Currencies," NBER Working Papers 23267, National Bureau of Economic Research, Inc.
    6. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    8. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).
    9. Abakah, Emmanuel Joel Aikins & Brahim, Mariem & Carlotti, Jean-Etienne & Tiwari, Aviral Kumar & Mensi, Walid, 2024. "Extreme downside risk connectedness and portfolio hedging among the G10 currencies," International Economics, Elsevier, vol. 178(C).
    10. Michał Chojnowski & Piotr Dybka, 2017. "Is Exchange Rate Moody? Forecasting Exchange Rate with Google Trends Data," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 1-21, June.
    11. Nyoni, Thabani, 2019. "An ARIMA analysis of the Indian Rupee/USD exchange rate in India," MPRA Paper 96908, University Library of Munich, Germany.
    12. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    13. Maria Eleftheriou & Nikolas A. Müller-Plantenberg, 2018. "The Purchasing Power Parity Fallacy: Time to Reconsider the PPP Hypothesis," Open Economies Review, Springer, vol. 29(3), pages 481-515, July.
    14. Jackson, Karen & Magkonis, Georgios, 2024. "Exchange rate predictability: Fact or fiction?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    15. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    16. Adrian Marek Burda & Blazej Mazur & Mateusz Pawel Pipien, 2017. "Forecasting EUR/PLN Exchange Rate: the Role of Purchasing Power Parity Hypothesis in ESTVEC Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 97-114.
    17. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
    18. Christina Anderl & Guglielmo Maria Caporale, 2021. "Nonlinearities and asymmetric adjustment to PPP in an exchange rate model with inflation expectations," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(6), pages 937-959, August.
    19. Reaz, Md & Mahat, Fauziah & Dahir, Ahmed Mohamed & Sahabuddin, Mohammad & Al Mahi, Abu Saad Md Masnun, 2017. "Exchange rate volatility and financial performance of agriculture firms in Malaysia: An empirical analysis using GARCH, wavelet and system GMM," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(3).

  13. Marcin Kolasa & Michał Rubaszek, 2014. "How frequently should we re-estimate DSGE models?," NBP Working Papers 194, Narodowy Bank Polski.

    Cited by:

    1. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    2. Jonathan Benchimol, 2016. "Money and monetary policy in Israel during the last decade," Post-Print hal-01272174, HAL.
    3. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    4. 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.
    5. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    6. Jonathan Benchimol & André Fourçans, 2017. "Monetary Rule, Central Bank Loss and Household’s Welfare: an Empirical Investigation," Globalization Institute Working Papers 329, Federal Reserve Bank of Dallas.

  14. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.

    Cited by:

    1. Galvão, Ana Beatriz & Giraitis, Liudas & Kapetanios, George & Petrova, Katerina, 2016. "A time varying DSGE model with financial frictions," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 690-716.
    2. 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.
    3. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    4. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    5. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2018. "Limited Asset Market Participation and the Euro Area Crisis. An Empirical DSGE Model," Working Papers 391, University of Milano-Bicocca, Department of Economics, revised Nov 2018.
    6. Marcin Kolasa & Michał Rubaszek, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," NBP Working Papers 282, Narodowy Bank Polski.
    7. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
    8. Bartkus Algirdas, 2016. "A New Model with Regime Switching Errors: Forecasting Gdp in Times of Great Recession," Ekonomika (Economics), Sciendo, vol. 95(2), pages 7-29, February.
    9. Bekiros, Stelios & Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2016. "Dealing with financial instability under a DSGE modeling approach with banking intermediation: A predictability analysis versus TVP-VARs," Journal of Financial Stability, Elsevier, vol. 26(C), pages 216-227.
    10. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    11. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    12. Marcin Kolasa & Michał Rubaszek, 2014. "How frequently should we re-estimate DSGE models?," NBP Working Papers 194, Narodowy Bank Polski.
    13. 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.
    14. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
    15. Aliaga Miranda, Augusto, 2020. "Monetary policy rules for an open economy with financial frictions: A Bayesian approach," Dynare Working Papers 62, CEPREMAP.
    16. Fritz Breuss, 2016. "Would DSGE Models have Predicted the Great Recession in Austria?," WIFO Working Papers 530, WIFO.
    17. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2018. "Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods," MPRA Paper 85523, University Library of Munich, Germany.
    18. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2014. "Estimating a DSGE model with Limited Asset Market Participation for the Euro Area," Working Papers 286, University of Milano-Bicocca, Department of Economics, revised Nov 2014.
    19. Karol Szafranek, 2017. "Bagged artificial neural networks in forecasting inflation: An extensive comparison with current modelling frameworks," NBP Working Papers 262, Narodowy Bank Polski.
    20. Erlan Konebayev, 2023. "Forecasting a Commodity-Exporting Small Open Developing Economy Using DSGE and DSGE-BVAR," International Economic Journal, Taylor & Francis Journals, vol. 37(1), pages 39-70, January.
    21. Doriane Intungane, 2023. "The impact of macroprudential policies on the transmission of shocks across financially integrated countries," Review of International Economics, Wiley Blackwell, vol. 31(1), pages 249-273, February.
    22. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    23. Alberto BUCCI & Simone MARSIGLIO, 2016. "Financial Development and Economic Growth: Long Run Equilibrium and Transitional Dynamics," Departmental Working Papers 2016-16, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    24. Paccagnini, Alessia, 2019. "Did financial factors matter during the Great Recession?," Economics Letters, Elsevier, vol. 174(C), pages 26-30.
    25. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    26. Fritz Breuss, 2018. "Would DSGE Models Have Predicted the Great Recession in Austria?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 105-126, April.
    27. Aliaga, Augusto, 2020. "Reglas de política monetaria para una economía abierta con fricciones financieras: Un enfoque Bayesiano [Monetary policy rules for an open economy with financial frictions: A Bayesian approach]," MPRA Paper 100604, University Library of Munich, Germany.
    28. Bahram Adrangi & Juan Nicolás D’Amico, 2023. "Equity Returns and the Output Shocks in a Dynamic Stochastic General Equilibrium Framework," JRFM, MDPI, vol. 16(5), pages 1-14, April.
    29. Josef Hollmayr & Michael Kuehl, 2016. "Imperfect Information about Financial Frictions and Consequences for the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 179-207, October.
    30. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    31. Sean Langcake & Tim Robinson, 2018. "Forecasting the Australian economy with DSGE and BVAR models," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 251-267, January.
    32. Roberto Duncan & Enrique Martínez‐García, 2023. "Forecasting inflation in open economies: What can a NOEM model do?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 481-513, April.
    33. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    34. Caraiani, Petre, 2016. "The role of money in DSGE models: a forecasting perspective," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 315-330.

  15. Ca' Zorzi, Michele & Rubaszek, Michał & Muck, Jakub, 2013. "Real exchange rate forecasting: a calibrated half-life PPP model can beat the random walk," Working Paper Series 1576, European Central Bank.

    Cited by:

    1. M S Eichenbaum & B K Johannsen & S T Rebelo, 2021. "Monetary Policy and the Predictability of Nominal Exchange Rates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 192-228.
    2. Martin McCarthy, Stephen Snudden, 2024. "Forecasts of Period-Average Exchange Rates: New Insights from Real-Time Daily Data," LCERPA Working Papers jc0148, Laurier Centre for Economic Research and Policy Analysis, revised Oct 2024.
    3. Ca' Zorzi, Michele & Longaric, Pablo Anaya & Rubaszek, Michał, 2021. "The predictive power of equilibrium exchange rate models," Economic Bulletin Articles, European Central Bank, vol. 7.
    4. Shaowen Luo, 2023. "Risk and return in the foreign exchange market: Measurement without VARs," International Finance, Wiley Blackwell, vol. 26(1), pages 64-81, April.
    5. Yin-Wong Cheung & Menzie D. Chinn & Antonio Garcia Pascual & Yi Zhang, 2017. "Exchange Rate Prediction Redux: New Models, New Data, New Currencies," NBER Working Papers 23267, National Bureau of Economic Research, Inc.
    6. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    8. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).
    9. Abakah, Emmanuel Joel Aikins & Brahim, Mariem & Carlotti, Jean-Etienne & Tiwari, Aviral Kumar & Mensi, Walid, 2024. "Extreme downside risk connectedness and portfolio hedging among the G10 currencies," International Economics, Elsevier, vol. 178(C).
    10. Michał Chojnowski & Piotr Dybka, 2017. "Is Exchange Rate Moody? Forecasting Exchange Rate with Google Trends Data," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 1-21, June.
    11. Nyoni, Thabani, 2019. "An ARIMA analysis of the Indian Rupee/USD exchange rate in India," MPRA Paper 96908, University Library of Munich, Germany.
    12. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    13. Maria Eleftheriou & Nikolas A. Müller-Plantenberg, 2018. "The Purchasing Power Parity Fallacy: Time to Reconsider the PPP Hypothesis," Open Economies Review, Springer, vol. 29(3), pages 481-515, July.
    14. Jackson, Karen & Magkonis, Georgios, 2024. "Exchange rate predictability: Fact or fiction?," Journal of International Money and Finance, Elsevier, vol. 142(C).
    15. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    16. Ca' Zorzi, Michele & Chudik, Alexander, 2013. "Spatial considerations on the PPP debate," Working Paper Series 1534, European Central Bank.
    17. Adrian Marek Burda & Blazej Mazur & Mateusz Pawel Pipien, 2017. "Forecasting EUR/PLN Exchange Rate: the Role of Purchasing Power Parity Hypothesis in ESTVEC Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 97-114.
    18. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
    19. Christina Anderl & Guglielmo Maria Caporale, 2021. "Nonlinearities and asymmetric adjustment to PPP in an exchange rate model with inflation expectations," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(6), pages 937-959, August.
    20. Reaz, Md & Mahat, Fauziah & Dahir, Ahmed Mohamed & Sahabuddin, Mohammad & Al Mahi, Abu Saad Md Masnun, 2017. "Exchange rate volatility and financial performance of agriculture firms in Malaysia: An empirical analysis using GARCH, wavelet and system GMM," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(3).

  16. Rubaszek, Michał & Serwa, Dobromil, 2012. "Determinants of credit to households in a life-cycle model," Working Paper Series 1420, European Central Bank.

    Cited by:

    1. Enache Calcedonia, 2022. "Macroeconomic Determinants of Household Indebtedness in Romania: An Econometric Approach," Journal of Social and Economic Statistics, Sciendo, vol. 11(1-2), pages 102-117, December.
    2. Dobromil Serwa, 2011. "Identifying multiple regimes in the model of credit to households," NBP Working Papers 99, Narodowy Bank Polski.
    3. Haithem Awijen & Younes Ben Zaied & Ahmed Imran Hunjra, 2023. "Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 561-587, August.
    4. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    5. Sophocles Brissimis & Eugenie Garganas & Stephen G. Hall, 2012. "Consumer credit in an era of financial liberalisation: an overreaction to repressed demand?," Working Papers 148, Bank of Greece.

  17. Kociecki, Andrzej & Rubaszek, Michał & Ca' Zorzi, Michele, 2012. "Bayesian analysis of recursive SVAR models with overidentifying restrictions," Working Paper Series 1492, European Central Bank.

    Cited by:

    1. Jiranyakul, Komain, 2016. "Identifying the Effects of Monetary Policy Shock on Output and Prices in Thailand," MPRA Paper 75708, University Library of Munich, Germany.
    2. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    3. Ca' Zorzi, Michele & Kocięcki, Andrzej & Rubaszek, Michał, 2015. "Bayesian forecasting of real exchange rates with a Dornbusch prior," Economic Modelling, Elsevier, vol. 46(C), pages 53-60.
    4. Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating Overidentified, Nonrecursive Time-Varying Coefficients Structural VARs," Working Papers 637, Barcelona School of Economics.
    5. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.
    6. Han, Xu, 2018. "Estimation and inference of dynamic structural factor models with over-identifying restrictions," Journal of Econometrics, Elsevier, vol. 202(2), pages 125-147.

  18. Andrzej Kociecki & Marcin Kolasa & Michal Rubaszek, 2011. "Predictivistic Bayesian Forecasting System," NBP Working Papers 87, Narodowy Bank Polski.

    Cited by:

    1. Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.

  19. Michał Brzoza-Brzezina & Marcin Kolasa & Grzegorz Koloch & Krzysztof Makarski & Michal Rubaszek, 2011. "Monetary policy in a non-representative agent economy: A survey," NBP Working Papers 95, Narodowy Bank Polski.

    Cited by:

    1. Tyrowicz, Joanna, 2020. "Are incentivized old-age savings schemes effective under incomplete rationality?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224526, Verein für Socialpolitik / German Economic Association.
    2. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Research Reports JRC111603, Joint Research Centre.
    3. Paul Levine, 2010. "Monetary Policy in an Uncertain World : Probability Models and the Design of Robust Monetary Rules," Macroeconomics Working Papers 21853, East Asian Bureau of Economic Research.
    4. Joanna Tyrowicz & Krzysztof Makarski & Artur Rutkowski, 2020. "Fiscal incentives to pension savings – are they efficient?," Working Paper series 20-06, Rimini Centre for Economic Analysis.
    5. Villarreal, Francisco G., 2014. "Monetary Policy and Inequality in Mexico," MPRA Paper 57074, University Library of Munich, Germany.
    6. Przemysław Włodarczyk, 2016. "Modele reprezentatywnych podmiotów gospodarczych jako narzędzie analizy w nowej syntezie neoklasycznej," Bank i Kredyt, Narodowy Bank Polski, vol. 47(6), pages 553-584.

  20. Michal Rubaszek & Pawel Skrzypczynski & Grzegorz Koloch, 2011. "Forecasting the Polish zloty with non-linear models," NBP Working Papers 81, Narodowy Bank Polski.

    Cited by:

    1. Michal Rubaszek & Pawel Skrzypczynski & Grzegorz Koloch, 2011. "Forecasting the Polish zloty with non-linear models," NBP Working Papers 81, Narodowy Bank Polski.
    2. Jakub Muck & Pawel Skrzypczynski, 2012. "Can we beat the random walk in forecasting CEE exchange rates?," NBP Working Papers 127, Narodowy Bank Polski.

  21. Marcin Kolasa & Michal Rubaszek & Daria Taglioni, 2010. "Firms in the great global recession: The role of foreign ownership and financial dependence," NBP Working Papers 77, Narodowy Bank Polski.

    Cited by:

    1. Golikova Victoria & Kuznetsov Boris, 2016. "The Role of Innovation and Globalization Strategies in Post-Crisis Recovery," HSE Working papers WP BRP 123/EC/2016, National Research University Higher School of Economics.
    2. Strieborny, Martin, 2013. "Suppliers, Investors, and Equity Market Liberalizations," Working Papers 2013:12, Lund University, Department of Economics.
    3. Anna Ferragina & Fernanda Mazzotta, 2018. "Firm Employment Resilience and FDI: Evidence from Italy," L'industria, Società editrice il Mulino, issue 4, pages 523-556.
    4. Lo Turco, Alessia & Maggioni, Daniela, 2014. "The micro evolution of trade and turnover in Turkey under the global crisis," Economic Systems, Elsevier, vol. 38(3), pages 397-414.
    5. Gereben, Áron & Rop, Anton & Petriček, Matic & Winkler, Adalbert, 2019. "The impact of international financial institutions on small and medium enterprises: The case of EIB lending in Central and Eastern Europe," EIB Working Papers 2019/09, European Investment Bank (EIB).
    6. Brahima Coulibaly & Horacio Sapriza & Andrei Zlate, 2011. "Trade credit and international trade during the 2008-09 global financial crisis," International Finance Discussion Papers 1020, Board of Governors of the Federal Reserve System (U.S.).
    7. Saara Tamminen, 2017. "Regional effects or none? Firms' profitability during the Great Recession in Finland," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 33-59, March.
    8. Tomislav Galac, 2015. "Microeconomic Aspects of the Impact of the Global Crisis on the Growth of Non-financial Corporations in the Republic of Croatia," Working Papers 44, The Croatian National Bank, Croatia.
    9. Iwasaki, Ichiro, 2014. "Global financial crisis, corporate governance, and firm survival:," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 178-211.
    10. Muzi,Silvia & Jolevski,Filip & Ueda,Kohei & Viganola,Domenico, 2021. "Productivity and Firm Exit during the COVID-19 Crisis : Cross-Country Evidence," Policy Research Working Paper Series 9671, The World Bank.
    11. Crisóstomo, Vicente Lima & López-Iturriaga, Félix Javier & Vallelado González, Eleuterio, 2014. "Nonfinancial companies as large shareholders alleviate financial constraints of Brazilian firm," Emerging Markets Review, Elsevier, vol. 18(C), pages 62-77.
    12. Ting Zhang & Dan Gerlowski & Zoltan Acs, 2022. "Working from home: small business performance and the COVID-19 pandemic," Small Business Economics, Springer, vol. 58(2), pages 611-636, February.
    13. Iwasaki, Ichiro & 岩﨑, 一郎 & イワサキ, イチロウ, 2012. "Global Financial Crisis, Corporate Governance, and Firm Survival: The Case of Russia," RRC Working Paper Series 37, Russian Research Center, Institute of Economic Research, Hitotsubashi University.
    14. Hayoung Park & Taewon Kang & Jeong-Dong Lee, 2019. "R&D Dynamics And Firm Growth: The Importance Of R&D Persistency In The Economic Crisis," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(05), pages 1-24, June.
    15. Biljana Jovanovikj & Ljupka Georgievska, 2013. "Transmission Channels Of The Global Economic Crisis: Micro Evidence For The Republic Of Macedonia," Working Papers 2013-01, National Bank of the Republic of North Macedonia.
    16. Gereffi, Gary & Luo, Xubei, 2014. "Risks and opportunities of participation in global value chains," Policy Research Working Paper Series 6847, The World Bank.
    17. Iwasaki, Ichiro & 岩﨑, 一郎, 2013. "Global Financial Crisis, Corporate Governance, and Firm Survival: The Russian Experience," RRC Working Paper Series 37_v2, Russian Research Center, Institute of Economic Research, Hitotsubashi University.
    18. Andrea Fracasso & Kun Jiang, 2022. "The performance of private companies in China before and during the global financial crisis: firms’ characteristics and entrepreneurs’ attributes," Economic Change and Restructuring, Springer, vol. 55(2), pages 803-836, May.
    19. Michał Brzozowski & Grzegorz Tchorek, 2017. "Exchange Rate Risk as an Obstacle to Export Activity," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 115-141.
    20. Bartz, Wiebke & Winkler, Adalbert, 2016. "Flexible or fragile? The growth performance of small and young businesses during the global financial crisis — Evidence from Germany," Journal of Business Venturing, Elsevier, vol. 31(2), pages 196-215.
    21. Heo, Ye Jin, 2024. "The effect of trade credit on firm performance: Evidence from Korean firms during the Global Financial Crisis," Journal of International Money and Finance, Elsevier, vol. 140(C).
    22. Mariola Ciszewska-Mlinarič & Piotr Trąpczyński, 2019. "Foreign Market Adaptation and Performance: The Role of Institutional Distance and Organizational Capabilities," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    23. Coulibaly, Brahima & Sapriza, Horacio & Zlate, Andrei, 2013. "Financial frictions, trade credit, and the 2008–09 global financial crisis," International Review of Economics & Finance, Elsevier, vol. 26(C), pages 25-38.
    24. OGREAN Claudia & HERCIU Mihaela, 2016. "Some Insights On The Changing Architecture Of The World’S Top 100 Multinationals," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 11(3), pages 90-106, December.
    25. David Bruce Audretsch & Martina Aronica & Maksim Belitski & Davide Piacentino, 2024. "Natural selection or strategic adaptation? Entrepreneurial digital technologies and survival of the species," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1631-1659, October.
    26. Gary Gereffi & Xubei Luo, 2015. "Risks and Opportunities of Participation in Global Value Chains," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(4), pages 51-63, June.
    27. Sandra M. Leitner & Robert Stehrer, 2013. "Access to finance and funding composition during the crisis: A firm-level analysis of Latin American countries," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(1), pages 1-47, May.
    28. Anna Maria Ferragina & Fernanda Mazzotta & Erol Taymaz & Kamil Yilmaz, 2013. "The Impact Of Fdi On Firm Survival And Employment: A Comparative Analysis For Turkey And Italy," ERSA conference papers ersa13p1211, European Regional Science Association.
    29. Duc Nam Phung & Anil V. Mishra, 2016. "Ownership Structure and Firm Performance: Evidence from Vietnamese Listed Firms," Australian Economic Papers, Wiley Blackwell, vol. 55(1), pages 63-98, March.
    30. Bykova, Anna & Jardon, Carlos M., 2017. "Lean against the wind: The moderation effect of foreign investments during the economic recession in Russia," Journal of Economics and Business, Elsevier, vol. 93(C), pages 1-14.
    31. Trinh, Q. Long & Morgan, Peter J. & Sonobe, Tetsushi, 2020. "Investment behavior of MSMEs during the downturn periods: Empirical evidence from Vietnam," Emerging Markets Review, Elsevier, vol. 45(C).
    32. A. Arrighetti & F. Landini & A. Lasagni, 2016. "Swimming Upstream Throughout the Turmoil: Evidence on Firm Growth During the Great Recession," Economics Department Working Papers 2016-EP04, Department of Economics, Parma University (Italy).
    33. Mariola Ciszewska-Mlinarič, 2016. "Foreign Market Knowledge and SME’s International Performance: Moderating Effects of Strategic Intent and Time-to-Internationalization," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(4), pages 51-66.
    34. Bernhard Dachs, 2014. "R&D Internationalisation and the Global Financial Crisis," Chapters, in: Bernhard Dachs & Robert Stehrer & Georg Zahradnik (ed.), The Internationalisation of Business R&D, chapter 13, pages 1-3, Edward Elgar Publishing.
    35. Jensen Camilla & Rastenienė Aušrytė, 2016. "Lithuanian Exporters in the Financial Crisis," Ekonomika (Economics), Sciendo, vol. 95(2), pages 118-138, February.
    36. Piotr Banbula & Witold Kozinski & Michal Rubaszek, 2011. "The role of the exchange rate in monetary policy in Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Capital flows, commodity price movements and foreign exchange intervention, volume 57, pages 285-295, Bank for International Settlements.

  22. Kolasa, Marcin & Rubaszek, Michał & Skrzypczyński, Paweł, 2009. "Putting the New Keynesian DSGE model to the real-time forecasting test," Working Paper Series 1110, European Central Bank.

    Cited by:

    1. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    2. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    3. Jesús Botero García & Humberto Franco González & Álvaro Hurtado Rendón & Manuel Mesa, 2012. "Una aplicación de un modelo neoclásico DSGE con política fiscal," Documentos de Trabajo de Valor Público 10567, Universidad EAFIT.
    4. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    5. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    6. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    7. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    8. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2018. "Limited Asset Market Participation and the Euro Area Crisis. An Empirical DSGE Model," Working Papers 391, University of Milano-Bicocca, Department of Economics, revised Nov 2018.
    9. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    10. Villa, Stefania, 2016. "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1313-1340, July.
    11. Bekiros Stelios & Paccagnini Alessia, 2015. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 107-136, April.
    12. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    13. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    14. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    15. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.
    16. Stelios D. Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Open Access publications 10197/7329, School of Economics, University College Dublin.
    17. Marcin Kolasa & Michał Rubaszek, 2014. "How frequently should we re-estimate DSGE models?," NBP Working Papers 194, Narodowy Bank Polski.
    18. 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.
    19. Yantao Gao & Xilong Yao & Wenxi Wang & Xin Liu, 2019. "Dynamic effect of environmental tax on export trade: Based on DSGE mode," Energy & Environment, , vol. 30(7), pages 1275-1290, November.
    20. João Valle e Azevedo & Inês Maria Gonçalves, 2015. "Macroeconomic Forecasting Starting from Survey Nowcasts," Working Papers w201502, Banco de Portugal, Economics and Research Department.
    21. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
    22. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2018. "Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods," MPRA Paper 85523, University Library of Munich, Germany.
    23. Javier Andrés & José E. Boscá & Javier Ferri & Cristina Fuentes-Albero, 2018. "Households' balance sheets and the effect of fiscal policy," Working Papers 1831, Banco de España.
    24. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2014. "Estimating a DSGE model with Limited Asset Market Participation for the Euro Area," Working Papers 286, University of Milano-Bicocca, Department of Economics, revised Nov 2014.
    25. Erlan Konebayev, 2023. "Forecasting a Commodity-Exporting Small Open Developing Economy Using DSGE and DSGE-BVAR," International Economic Journal, Taylor & Francis Journals, vol. 37(1), pages 39-70, January.
    26. Fair, Ray C., 2020. "Variable mismeasurement in a class of DSGE models: Comment," Journal of Macroeconomics, Elsevier, vol. 66(C).
    27. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models," Working Papers 2014-426, Department of Research, Ipag Business School.
    28. Stelios D. Bekiros & Alessia Paccagnini, 2015. "Macroprudential policy and forecasting using Hybrid DSGE models with financial frictions and State space Markov-Switching TVP-VARs," Open Access publications 10197/7333, School of Economics, University College Dublin.
    29. Bialowolski, Piotr & Kuszewski, Tomasz & Witkowski, Bartosz, 2015. "Bayesian averaging vs. dynamic factor models for forecasting economic aggregates with tendency survey data," Economics Discussion Papers 2015-28, Kiel Institute for the World Economy (IfW Kiel).
    30. Ray C. Fair, 2019. "Variable Mismeasurement in a Class of DSGE Models: Comment," Cowles Foundation Discussion Papers 2166R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2019.
    31. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    32. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    33. Ray C. Fair, 2019. "Inflation in the Great Recession and New Keynesian Models: Comment," Cowles Foundation Discussion Papers 2166, Cowles Foundation for Research in Economics, Yale University.
    34. Stefano Neri & Tiziano Ropele, 2012. "Imperfect Information, Real‐Time Data and Monetary Policy in the Euro Area," Economic Journal, Royal Economic Society, vol. 122(561), pages 651-674, June.
    35. Ray Fair, 2018. "Information Content of DSGE Forecasts," Papers 1808.02910, arXiv.org.
    36. Renata Wróbel-Rotter, 2016. "Impulse Response Functions in the Dynamic Stochastic General Equilibrium Vector Autoregression Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 93-114, June.
    37. Kwas, Marek & Beckmann, Joscha & Rubaszek, Michał, 2024. "Are consensus FX forecasts valuable for investors?," International Journal of Forecasting, Elsevier, vol. 40(1), pages 268-284.
    38. Ray C. Fair, 2018. "Information Content of DSGE Forecasts," Cowles Foundation Discussion Papers 2140, Cowles Foundation for Research in Economics, Yale University.
    39. Yuliya Rychalovska & Sergey Slobodyan & Rafael Wouters, 2023. "Professional Survey Forecasts and Expectations in DSGE Models," CERGE-EI Working Papers wp766, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    40. Martin Slanicay & Jan Čapek & Miroslav Hloušek, 2016. "Some Notes On Problematic Issues In Dsge Models," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 61(210), pages 79-100, July - Se.
    41. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    42. Sean Langcake & Tim Robinson, 2018. "Forecasting the Australian economy with DSGE and BVAR models," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 251-267, January.
    43. Roberto Duncan & Enrique Martínez‐García, 2023. "Forecasting inflation in open economies: What can a NOEM model do?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 481-513, April.
    44. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    45. Capek Jan, 2015. "Estimating DSGE model parameters in a small open economy: Do real-time data matter?," Review of Economic Perspectives, Sciendo, vol. 15(1), pages 89-114, March.

  23. Rubaszek, Michał, 2008. "Economic convergence and the fundamental equilibrium exchange rate in Poland," MPRA Paper 12910, University Library of Munich, Germany.

    Cited by:

    1. Magdalena Osinska & Karolina Kluth, 2010. "Convergence of Greek Economy with the EU and Some Comparisons with Polish Experience," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 139-156.
    2. Katarzyna Budnik & Michal Greszta & Michal Hulej & Oskar Krzesicki & Roza Lewinska & Karol Murawski & Michal Rot & Bartosz Rybaczyk, 2009. "An update of the macroeconometric model of the Polish economy NECMOD," NBP Working Papers 64, Narodowy Bank Polski.
    3. Roszkowski, Piotr & Sławińska, Kamila & Torój, Andrzej, 2014. "BEER tastes better in a panel of neighbours. On equilibrium exchange rates in CEE countries," MF Working Papers 20, Ministry of Finance in Poland.
    4. Ebrahim Hadian; & Najmeh Sajedianfard, 2018. "Monetary Fundamental-Based Exchange Rate Model in Iran: Applying a MS-TVTP Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 557-578, Spring.
    5. Kamila Kuziemska-Pawlak & Jakub Mućk, 2024. "Global Value Chains and Equilibrium Exchange Rate: Evidence from Central European Economies," KAE Working Papers 2024-100, Warsaw School of Economics, Collegium of Economic Analysis.
    6. Piotr Wdowiński, 2011. "Model monetarny kursu równowagi złoty/euro: analiza kointegracyjna," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 67-86.
    7. Andrea Salazar-Díaz & Aarón Levi Garavito-Acosta & Sergio Restrepo-Ángel & Leidy Viviana Arcila-Agudelo, 2022. "Real Equilibrium Exchange Rate in Colombia: Thousands of VEC Models Approach," Borradores de Economia 1221, Banco de la Republica de Colombia.
    8. Dudek, Sławomir & Pachucki, Dawid & Zachłod-Jelec, Magdalena & Zając, Tomasz & Kolski, Paweł & Fudała-Poradzińska, Iwona & Danielski, Kamil, 2012. "eMPF Econometric Model of Public Finance," MF Working Papers 14, Ministry of Finance in Poland, revised 12 Jun 2012.
    9. Michal Adam & Witold Kozinski & Janusz Zielinski, 2013. "To what extent can central banks influence exchange rates with foreign exchange interventions? The case of Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Sovereign risk: a world without risk-free assets?, volume 73, pages 279-291, Bank for International Settlements.
    10. Abdelghani, Echchabi & Osman, Sayid & Isares, Mahamad & Khalid, Sorhiran & Zulhilmi, Zulkifli, 2011. "The implementation of Gulf Dinar among the GCC member countries and its possible impacts," MPRA Paper 28245, University Library of Munich, Germany.
    11. Lucian Claudiu ANGHEL & Laurentiu-Mihai TREAPAT, 2015. "Main Economic Policies in order to Manage an Optimum Accession of Romania to the Euro Zone," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 151-169, March.

  24. Ca' Zorzi, Michele & Rubaszek, Michał, 2008. "On the empirical evidence of the intertemporal current account model for the euro area countries," Working Paper Series 895, European Central Bank.

    Cited by:

    1. Pham Van Ha & Tom Kompas & Hoa-Thi-Minh Nguyen & Chu Hoang Long, 2018. "Building a better trade model to determine local effects: A regional and intertemporal GTAP model," Crawford School Research Papers 1802, Crawford School of Public Policy, The Australian National University.
    2. Angelini, Elena & Ca' Zorzi, Michele & Forster, Katrin, 2014. "External and macroeconomic adjustment in the larger euro area countries," Working Paper Series 1647, European Central Bank.
    3. Philip R. Lane & Barbara Pels, 2012. "Current Account Imbalances in Europe," The Institute for International Integration Studies Discussion Paper Series iiisdp397, IIIS.
    4. Michele Ca' Zorzi & Alistair Dieppe & Alex Chudik, 2011. "Thousands of Models, One Story: Current Account Imbalances in the Global Economy," EcoMod2011 3184, EcoMod.
    5. Matthieu Bussiere & Aikaterini Karadimitropoulou & Miguel A. Leon-Ledesma, 2017. "Current account dynamics and the real exchange rate: disentangling the evidence," Working Papers 239, Bank of Greece.
    6. Patrik RYFF, 2010. "Friedman Meets the Joneses: A Model of Essential Money with Consumption Externalities," EcoMod2010 259600146, EcoMod.
    7. Enno Schröder, 2015. "Eurozone Imbalances: Measuring the Contribution of Expenditure Switching and Expenditure Volumes 1990-2013," Working Papers 1508, New School for Social Research, Department of Economics, revised Sep 2015.
    8. Kamel Jlassi, 2015. "Modelling and Forecasting of Tunisian Current Account: Aggregate versus Disaggregate Approach," IHEID Working Papers 13-2015, Economics Section, The Graduate Institute of International Studies.
    9. Sophocles N. Brissimis & George Hondroyiannis & Christos Papazoglou & Nicholas T. Tsaveas & Melina A. Vasardani, 2010. "Current account determinants and external sustainability in periods of structural change," Working Papers 117, Bank of Greece.
    10. Boonman, Tjeerd & Litsios, Ioannis & Pilbeam, Keith & Pouliot, William, 2022. "Modelling the trade balance between the northern and southern eurozone using an intertemporal approach," Journal of International Money and Finance, Elsevier, vol. 121(C).
    11. Antonis Adam & Sofia Tsarsitalidou, 2018. "Do democracies have higher current account deficits?," Constitutional Political Economy, Springer, vol. 29(1), pages 40-68, March.
    12. Karl Farmer, 2016. "The Intertemporal Equilibrium Modeling of Intra-EMU and Global Trade Imbalances," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(4), pages 377-395, November.
    13. Bajo-Rubio, Oscar & Esteve, Vicente, 2021. "The Current Account Of The Spanish Economy, 1850-2016: Was It Optimal?," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 39(2), pages 329-354, September.
    14. Mr. Helge Berger & Volker Nitsch, 2010. "The Euro’s Effecton Trade Imbalances," IMF Working Papers 2010/226, International Monetary Fund.
    15. Mr. Jörg Decressin & Mr. Emil Stavrev, 2009. "Current Accounts in a Currency Union," IMF Working Papers 2009/127, International Monetary Fund.
    16. Berger, Helge & Nitsch, Volker, 2014. "Wearing corset, losing shape: The euro's effect on trade imbalances," Journal of Policy Modeling, Elsevier, vol. 36(1), pages 136-155.
    17. Bussière, Matthieu & Ca' Zorzi, Michele & Chudik, Alexander & Dieppe, Alistair, 2010. "Methodological advances in the assessment of equilibrium exchange rates," Working Paper Series 1151, European Central Bank.
    18. Florian Morvillier, 2018. "On the impact of the launch of the euro on EMU macroeconomic vulnerability," EconomiX Working Papers 2018-51, University of Paris Nanterre, EconomiX.
    19. Florian Morvillier, 2018. "On the impact of the launch of the euro on EMU macroeconomic vulnerability," Working Papers hal-04141675, HAL.
    20. Paul Gretton, 2022. "National and Sectoral Effects of a Decline in the Desirability of Investing in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(1), pages 91-121, March.
    21. Danica Unevska Andonova & Branimir Jovanovic, 2011. "Sustainability of the Macedonian Current Account," Working Papers 2011-06, National Bank of the Republic of North Macedonia.
    22. Garg, Bhavesh & Prabheesh, K.P., 2017. "Drivers of India’s current account deficits, with implications for ameliorating them," Journal of Asian Economics, Elsevier, vol. 51(C), pages 23-32.
    23. Karl Farmer & Irina Ban, 2017. "Modeling Financial Integration, Intra-EMU and Asian-US External Imbalances," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(3), pages 261-281, August.
    24. Michal Rubaszek, 2017. "Reforming housing rental market in a life-cycle model," KAE Working Papers 2017-028, Warsaw School of Economics, Collegium of Economic Analysis.
    25. Torój, Andrzej, 2017. "Managing external macroeconomic imbalances in the EU: the welfare cost of scoreboard-based constraints," Economic Modelling, Elsevier, vol. 61(C), pages 293-311.

  25. Michal Rubaszek & Pawel Skrzypczynski, 2007. "Can a simple DSGE model outperform Professional Forecasters?," NBP Working Papers 43, Narodowy Bank Polski.

    Cited by:

    1. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.

  26. Michal Rubaszek, 2005. "Fundamental equilibrium exchange rate for the Polish zloty," NBP Working Papers 35, Narodowy Bank Polski.

    Cited by:

    1. Katarzyna Budnik & Michal Greszta & Michal Hulej & Marcin Kolasa & Karol Murawski & Michal Rot & Bartosz Rybaczyk & Magdalena Tarnicka, 2009. "The new macroeconometric model of the Polish economy," NBP Working Papers 62, Narodowy Bank Polski.

  27. Tatiana Fic & Marcin Kolasa & Adam Kot & Karol Murawski & Michal Rubaszek & Magdalena Tarnicka, 2005. "ECMOD Model of the Polish Economy," NBP Working Papers 36, Narodowy Bank Polski.

    Cited by:

    1. Katarzyna Budnik & Michal Greszta & Michal Hulej & Marcin Kolasa & Karol Murawski & Michal Rot & Bartosz Rybaczyk & Magdalena Tarnicka, 2009. "The new macroeconometric model of the Polish economy," NBP Working Papers 62, Narodowy Bank Polski.
    2. Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    3. Katarzyna Budnik, 2008. "Non-accelerating wage inflation rate of unemployment in Poland," NBP Working Papers 48, Narodowy Bank Polski.
    4. Biljana Petkovska, 2008. "Estimation of the investment function for the Republic of Macedonia," Working Papers 2008-04, National Bank of the Republic of North Macedonia.
    5. Malugin, Vladimir & Demidenko , Mikhail & Kalechits, Dmitry & Miksjuk , Alexei & Tsukarev , Taras, 2009. "Development and Application of Econometric Models for Forecasting and Analysis of Monetary Policy Scenarios," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 24-38.
    6. Jerzy Pruski & Piotr Szpunar, 2008. "The monetary transmission mechanism in Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Transmission mechanisms for monetary policy in emerging market economies, volume 35, pages 427-437, Bank for International Settlements.
    7. Chmielewski, Tomasz & Kot, Adam, 2006. "Impact of globalisation? Changes in the MTM in Poland," MPRA Paper 8386, University Library of Munich, Germany.
    8. Thomas Reininger, 2008. "Factors Driving Import Demand in Selected Central, Eastern and Southeastern European Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 100-125.
    9. Krzysztof Zalewski, 2009. "Forecasting Turning Points with Composite Leading Indicators - the Case of Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 24.
    10. Piotr Banbula & Witold Kozinski & Michal Rubaszek, 2011. "The role of the exchange rate in monetary policy in Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Capital flows, commodity price movements and foreign exchange intervention, volume 57, pages 285-295, Bank for International Settlements.
    11. Damdinsuren, Batnyam & Doojav, Gan-Ochir & Łyziak, Tomasz, 2008. "Small Inflation Model of Mongolia (SIMOM)," MPRA Paper 72139, University Library of Munich, Germany, revised Apr 2008.

  28. Wojciech Mroczek & Michal Rubaszek, 2004. "Development of the trade links between Poland and the European Union in the years 1992–2002," NBP Working Papers 30, Narodowy Bank Polski.

    Cited by:

    1. Thomas Reininger, 2008. "Factors Driving Import Demand in Selected Central, Eastern and Southeastern European Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 100-125.

Articles

  1. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    See citations under working paper version above.
  2. Kwas, Marek & Beckmann, Joscha & Rubaszek, Michał, 2024. "Are consensus FX forecasts valuable for investors?," International Journal of Forecasting, Elsevier, vol. 40(1), pages 268-284.

    Cited by:

    1. Joscha Beckmann & Robert L. Czudaj, 2022. "Fundamental determinants of exchange rate expectations," Chemnitz Economic Papers 056, Department of Economics, Chemnitz University of Technology, revised Mar 2022.

  3. Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).

    Cited by:

    1. Karol Szafranek & Michał Rubaszek & Gazi Salah Uddin, 2023. "The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets," KAE Working Papers 2023-095, Warsaw School of Economics, Collegium of Economic Analysis.
    2. Francesco Calise & Francesco Liberato Cappiello & Luca Cimmino & Massimo Dentice d’Accadia & Maria Vicidomini, 2024. "A Novel Layout for Combined Heat and Power Production for a Hospital Based on a Solid Oxide Fuel Cell," Energies, MDPI, vol. 17(5), pages 1-21, February.
    3. Michał Rubaszek & Karol Szafranek, 2025. "The European energy crisis and the US natural gas market dynamics: a structural VAR investigation," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-22, February.

  4. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).

    Cited by:

    1. Prabheesh, K.P. & Prakash, Branesh & Vuniivi, Viliame, 2023. "Assessment of Fiji’s exchange rate," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1282-1305.

  5. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2022. "Common factors and the dynamics of cereal prices. A forecasting perspective," Journal of Commodity Markets, Elsevier, vol. 28(C).
    See citations under working paper version above.
  6. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).

    Cited by:

    1. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    2. Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).
    3. Su, Chi Wei & Qin, Meng & Chang, Hsu-Ling & Țăran, Alexandra-Mădălina, 2023. "Which risks drive European natural gas bubbles? Novel evidence from geopolitics and climate," Resources Policy, Elsevier, vol. 81(C).
    4. Michał Rubaszek & Karol Szafranek, 2025. "The European energy crisis and the US natural gas market dynamics: a structural VAR investigation," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-22, February.

  7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    See citations under working paper version above.
  8. Dąbrowski, Marek A. & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2022. "The role of economic development for the effect of oil market shocks on oil-exporting countries. Evidence from the interacted panel VAR model," Energy Economics, Elsevier, vol. 110(C).

    Cited by:

    1. Mohamed Sadok Gassouma & Adel Benhamed, 2023. "The Impact of the Islamic System on Economic and Social Factors: A Macroeconomic Uncertainty Context," Economies, MDPI, vol. 11(12), pages 1-17, December.
    2. Karol Szafranek & Michał Rubaszek & Gazi Salah Uddin, 2023. "The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets," KAE Working Papers 2023-095, Warsaw School of Economics, Collegium of Economic Analysis.
    3. Sohag, Kazi & Hassan, M. Kabir & Kalina, Irina & Mariev, Oleg, 2023. "The relative response of Russian National Wealth Fund to oil demand, supply and risk shocks," Energy Economics, Elsevier, vol. 123(C).
    4. Wen, Yixian & Zhang, Suo, 2024. "Assessing the impact of resource efficiency on sustainable development: Policies to cope with resource scarcity in Chinese provinces," Resources Policy, Elsevier, vol. 90(C).
    5. Sohag, Kazi & Kalina, Irina & Samargandi, Nahla, 2024. "Oil market cyclical shocks and fiscal stance in OPEC+," Energy, Elsevier, vol. 296(C).
    6. Ding, Shusheng & Zheng, Dandan & Cui, Tianxiang & Du, Min, 2023. "The oil price-inflation nexus: The exchange rate pass- through effect," Energy Economics, Elsevier, vol. 125(C).
    7. Bruna, Karel & Van Tran, Quang, 2023. "Asymmetric effects of oil price shocks on EUR/USD exchange rate and structural shock decomposition in a BVAR model with sign restriction," Energy Economics, Elsevier, vol. 128(C).
    8. Jakub Horák & Michaela Jannová, 2023. "Predicting the Oil Price Movement in Commodity Markets in Global Economic Meltdowns," Forecasting, MDPI, vol. 5(2), pages 1-16, March.

  9. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2021. "Common factors and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 74(C).

    Cited by:

    1. Henriques, Irene & Sadorsky, Perry, 2023. "Forecasting rare earth stock prices with machine learning," Resources Policy, Elsevier, vol. 86(PA).
    2. Arabinda Basistha & Richard Startz, 2024. "Measuring persistent global economic factors with output, commodity price, and commodity currency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2860-2885, November.
    3. He, Zhichao & Huang, Jianhua, 2023. "A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction," Resources Policy, Elsevier, vol. 86(PB).
    4. Luo, Hongyuan & Wang, Deyun & Cheng, Jinhua & Wu, Qiaosheng, 2022. "Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction," Resources Policy, Elsevier, vol. 79(C).
    5. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    6. Choi, Insu & Kim, Woo Chang, 2024. "Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques," International Review of Financial Analysis, Elsevier, vol. 94(C).
    7. Liu, Yanqiong & Guo, Yaoqi & Wei, Qing, 2024. "Time-varying and multi-scale analysis of copper price influencing factors based on LASSO and EMD methods," Journal of Commodity Markets, Elsevier, vol. 34(C).

  10. Rubaszek Michał & Rubaszek Justyna, 2021. "Housing Tenure Preferences among Students from Two Polish Universities," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 71-83, June.

    Cited by:

    1. Justyna Rubaszek & Janusz Gubański & Anna Podolska, 2023. "Do We Need Public Green Spaces Accessibility Standards for the Sustainable Development of Urban Settlements? The Evidence from Wrocław, Poland," IJERPH, MDPI, vol. 20(4), pages 1-26, February.

  11. Jakub Mućk & Michał Rubaszek & Karol Szafranek, 2021. "A note on the heterogenous economic effects of COVID-19 on GDP via the sectoral structure," Bank i Kredyt, Narodowy Bank Polski, vol. 52(3), pages 253-266.

    Cited by:

    1. Bukalska Elżbieta & Skibińska-Fabrowska Ilona, 2023. "Corporate Investment in Bank-Dependent Companies in Crisis Time," Central European Economic Journal, Sciendo, vol. 10(57), pages 1-22, January.
    2. Jakub Rybacki & Michał Gniazdowski, 2023. "Macroeconomic forecasting in Poland: lessons from the external shocks," Bank i Kredyt, Narodowy Bank Polski, vol. 54(1), pages 45-64.

  12. Rubaszek, Michał, 2021. "Forecasting crude oil prices with DSGE models," International Journal of Forecasting, Elsevier, vol. 37(2), pages 531-546.
    See citations under working paper version above.
  13. Śmiech, Sławomir & Papież, Monika & Rubaszek, Michał & Snarska, Małgorzata, 2021. "The role of oil price uncertainty shocks on oil-exporting countries," Energy Economics, Elsevier, vol. 93(C).

    Cited by:

    1. Ren, Xiaohang & liu, Ziqing & Jin, Chenglu & Lin, Ruya, 2023. "Oil price uncertainty and enterprise total factor productivity: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 201-218.
    2. Wang, Kai-Hua & Liu, Lu & Li, Xin & Oana-Ramona, Lobonţ, 2022. "Do oil price shocks drive unemployment? Evidence from Russia and Canada," Energy, Elsevier, vol. 253(C).
    3. Yin, Libo & Su, Zhi & Lu, Man, 2022. "Is oil risk important for commodity-related currency returns?," Research in International Business and Finance, Elsevier, vol. 60(C).
    4. Karol Szafranek & Michał Rubaszek & Gazi Salah Uddin, 2023. "The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets," KAE Working Papers 2023-095, Warsaw School of Economics, Collegium of Economic Analysis.
    5. Shahbaz, Muhammad & Sheikh, Umaid A. & Tabash, Mosab I. & Jiao, Zhilun, 2024. "Shock transmission between climate policy uncertainty, financial stress indicators, oil price uncertainty and industrial metal volatility: Identifying moderators, hedgers and shock transmitters," Energy Economics, Elsevier, vol. 136(C).
    6. Radosław Puka & Bartosz Łamasz & Marek Michalski, 2021. "Effectiveness of Artificial Neural Networks in Hedging against WTI Crude Oil Price Risk," Energies, MDPI, vol. 14(11), pages 1-26, June.
    7. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    8. Nikita D. Fokin & Ekaterina V. Malikova & Andrey V. Polbin, 2024. "Time-varying parameters error correction model for real ruble exchange rate and oil prices: What has changed due to capital control and sanctions?," Russian Journal of Economics, ARPHA Platform, vol. 10(1), pages 20-33, March.
    9. Ge, Zhenyu & Sun, Yang, 2024. "Asymmetric impact of oil price shocks on inflation: Evidence from quantile-on-quantile regression," International Review of Financial Analysis, Elsevier, vol. 92(C).
    10. Miramir Bagirov & Cesario Mateus, 2024. "A Survey of Literature on the Interlinkage between Petroleum Prices and Equity Markets," JRFM, MDPI, vol. 17(1), pages 1-48, January.
    11. Wang, Xinghua & Lee, Zhengzheng & Wu, Shuang & Qin, Meng, 2023. "Exploring the vital role of geopolitics in the oil market: The case of Russia," Resources Policy, Elsevier, vol. 85(PB).
    12. Zheng, Tingguo & Gong, Lu & Ye, Shiqi, 2023. "Global energy market connectedness and inflation at risk," Energy Economics, Elsevier, vol. 126(C).
    13. Abdulrahman Alhassan & Atsuyuki Naka & Abdullah Noman, 2021. "Oil Market Factors as a Source of Commonality in Liquidity in International Equity Markets," JRFM, MDPI, vol. 14(8), pages 1-33, August.
    14. Sugra Humbatova & Ibrahim Guliyev Gadim & Sabuhi Tanriverdiyev Mileddin & Natig Gadim-Oglu Hajiyev, 2023. "Impact of Oil Factor on Consumer Market: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 202-215, July.
    15. Lee, Chien-Chiang & Olasehinde-Williams, Godwin & Özkan, Oktay, 2024. "Is geopolitical oil price uncertainty forcing the world to use energy more efficiently? Evidence from advanced statistical methods," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 908-919.
    16. Dąbrowski, Marek A. & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2022. "The role of economic development for the effect of oil market shocks on oil-exporting countries. Evidence from the interacted panel VAR model," Energy Economics, Elsevier, vol. 110(C).
    17. Song, Xinyu & Yang, Baochen, 2022. "Oil price uncertainty, corporate governance and firm performance," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 469-487.
    18. Jin Shang & Shigeyuki Hamori, 2024. "The response of oil-importing and oil-exporting countries’ macroeconomic aggregates to crude oil price shocks: some international evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 933-980, December.
    19. Rabin K. Jana & Aviral Kumar Tiwari & Shawkat Hammoudeh & Claudiu Albulescu, 2022. "Financial modeling, risk management of energy and environmental instruments and derivatives: past, present, and future," Annals of Operations Research, Springer, vol. 313(1), pages 1-7, June.
    20. Tan, Yan & Uprasen, Utai, 2023. "Asymmetric effects of oil price shocks on income inequality in ASEAN countries," Energy Economics, Elsevier, vol. 126(C).

  14. Kolasa, Marcin & Rubaszek, Michał & Walerych, Małgorzata, 2021. "Do flexible working hours amplify or stabilize unemployment fluctuations?," European Economic Review, Elsevier, vol. 131(C).
    See citations under working paper version above.
  15. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

    Cited by:

    1. Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023. "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, vol. 86(PA).
    2. Markos Farag, Stephen Snudden, Greg Upton, 2024. "Can Futures Prices Predict the Real Price of Primary Commodities?," LCERPA Working Papers jc0145, Laurier Centre for Economic Research and Policy Analysis, revised 2024.
    3. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    4. Oleksandr Castello & Marina Resta, 2023. "A Machine-Learning-Based Approach for Natural Gas Futures Curve Modeling," Energies, MDPI, vol. 16(12), pages 1-22, June.

  16. Rachatar Nilavongse & Michał Rubaszek & Karsten Staehr & Gazi Salah Uddin, 2021. "Foreign and Domestic Uncertainty Shocks in Four Open Economies," Open Economies Review, Springer, vol. 32(5), pages 933-954, November.

    Cited by:

    1. Niels Gillmann & Ostap Okhrin, 2023. "Adaptive local VAR for dynamic economic policy uncertainty spillover," Papers 2302.02808, arXiv.org.

  17. Ca' Zorzi, Michele & Longaric, Pablo Anaya & Rubaszek, Michał, 2021. "The predictive power of equilibrium exchange rate models," Economic Bulletin Articles, European Central Bank, vol. 7.
    See citations under working paper version above.
  18. Rubaszek, Michał & Szafranek, Karol & Uddin, Gazi Salah, 2021. "The dynamics and elasticities on the U.S. natural gas market. A Bayesian Structural VAR analysis," Energy Economics, Elsevier, vol. 103(C).

    Cited by:

    1. Cavicchioli, Maddalena, 2024. "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    2. Szafranek, Karol & Szafrański, Grzegorz & Leszczyńska-Paczesna, Agnieszka, 2024. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 789-810.
    3. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    4. Delalibera, Bruno R. & Serrano-Quintero, Rafael & Zimmermann, Guilherme G., 2023. "Reforms in the natural gas sector and economic development," Economic Modelling, Elsevier, vol. 125(C).
    5. Piergiorgio Alessandri & Andrea Gazzani, 2023. "Natural gas and the macroeconomy: not all energy shocks are alike," Temi di discussione (Economic working papers) 1428, Bank of Italy, Economic Research and International Relations Area.
    6. Michał Rubaszek & Karol Szafranek, 2025. "The European energy crisis and the US natural gas market dynamics: a structural VAR investigation," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-22, February.

  19. Michal Rubaszek & Margarita Rubio, 2020. "Does the rental housing market stabilize the economy? A micro and macro perspective," Empirical Economics, Springer, vol. 59(1), pages 233-257, July.
    See citations under working paper version above.
  20. Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020. "Mean-reversion, non-linearities and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 65(C).

    Cited by:

    1. Henriques, Irene & Sadorsky, Perry, 2023. "Forecasting rare earth stock prices with machine learning," Resources Policy, Elsevier, vol. 86(PA).
    2. Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2023. "Modelling and Forecasting Energy Market Cycles: A Generalized Smooth Transition Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202318, University of Turin.
    3. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2021. "Common factors and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 74(C).
    4. He, Zhichao & Huang, Jianhua, 2023. "A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction," Resources Policy, Elsevier, vol. 86(PB).
    5. Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023. "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, vol. 86(PA).
    6. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2020. "A random walk through the trees: Forecasting copper prices using decision learning methods," Resources Policy, Elsevier, vol. 69(C).
    7. Zuzanna Karolak, 2021. "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 577-598.
    8. Choi, Insu & Kim, Woo Chang, 2024. "Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques," International Review of Financial Analysis, Elsevier, vol. 94(C).
    9. Shi, Tao & Li, Chongyang & Zhang, Wei & Zhang, Yi, 2023. "Forecasting on metal resource spot settlement price: New evidence from the machine learning model," Resources Policy, Elsevier, vol. 81(C).
    10. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

  21. Rubaszek Michal & Karolak Zuzanna & Kwas Marek & Uddin Gazi Salah, 2020. "The role of the threshold effect for the dynamics of futures and spot prices of energy commodities," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-20, December.

    Cited by:

    1. Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
    2. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    3. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    4. Pincheira-Brown, Pablo & Bentancor, Andrea & Hardy, Nicolás & Jarsun, Nabil, 2022. "Forecasting fuel prices with the Chilean exchange rate: Going beyond the commodity currency hypothesis," Energy Economics, Elsevier, vol. 106(C).
    5. Zuzanna Karolak, 2021. "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 577-598.
    6. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

  22. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    See citations under working paper version above.
  23. Tomasz Piotr Kostyra & Michał Rubaszek, 2020. "Forecasting the Yield Curve for Poland," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(2), pages 103-117, December.

    Cited by:

    1. Tomasz P. Kostyra, 2022. "Yield Curve Modelling with the Nelson-Siegel Method for Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 44-56.

  24. Rubaszek, Michał & Uddin, Gazi Salah, 2020. "The role of underground storage in the dynamics of the US natural gas market: A threshold model analysis," Energy Economics, Elsevier, vol. 87(C).

    Cited by:

    1. Farhangdoost, Sara & Etienne, Xiaoli L., 2020. "Time-Varying Storage Announcement Effect in Natural Gas Market," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304476, Agricultural and Applied Economics Association.
    2. Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
    3. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    4. Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023. "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, vol. 86(PA).
    5. Rubaszek, Michał & Szafranek, Karol & Uddin, Gazi Salah, 2021. "The dynamics and elasticities on the U.S. natural gas market. A Bayesian Structural VAR analysis," Energy Economics, Elsevier, vol. 103(C).
    6. Adolfsen, Jakob Feveile & Ferrari Minesso, Massimo & Mork, Jente Esther & Van Robays, Ine, 2024. "Gas price shocks and euro area inflation," Working Paper Series 2905, European Central Bank.
    7. V., Ernesto Guerra & H., Eugenio Bobenrieth & H., Juan Bobenrieth & Wright, Brian D., 2023. "Endogenous thresholds in energy prices: Modeling and empirical estimation," Energy Economics, Elsevier, vol. 121(C).
    8. Yanting Chen & Peter R. Hartley & Yihui Lan, 2023. "Temperature, storage, and natural gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 549-575, April.
    9. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    10. Jinniao Qiu & Antony Ware & Yang Yang, 2024. "Stochastic Path-Dependent Volatility Models for Price-Storage Dynamics in Natural Gas Markets and Discrete-Time Swing Option Pricing," Papers 2406.16400, arXiv.org.
    11. Michał Rubaszek & Karol Szafranek, 2025. "The European energy crisis and the US natural gas market dynamics: a structural VAR investigation," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-22, February.

  25. Nilavongse, Rachatar & Rubaszek, Michał, & Uddin, Gazi Salah, 2020. "Economic policy uncertainty shocks, economic activity, and exchange rate adjustments," Economics Letters, Elsevier, vol. 186(C).

    Cited by:

    1. Tan, Xueping & Zhong, Yiran & Vivian, Andrew & Geng, Yong & Wang, Ziyi & Zhao, Difei, 2024. "Towards an era of multi-source uncertainty: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    2. Ivana Lolić & Petar Sorić & Marija Logarušić, 2022. "Economic Policy Uncertainty Index Meets Ensemble Learning," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 401-437, August.
    3. Yoshito Funashima, 2022. "Economic policy uncertainty and unconventional monetary policy," Manchester School, University of Manchester, vol. 90(3), pages 278-292, June.
    4. Azad, Nahiyan Faisal & Serletis, Apostolos, 2022. "Spillovers of U.S. monetary policy uncertainty on inflation targeting emerging economies," Emerging Markets Review, Elsevier, vol. 51(PA).
    5. Sammy G. Muriithi & Bruce A. Walters & William R. McCumber & Luis R. Robles, 2022. "Managerial entrenchment and corporate social responsibility engagement: the role of economic policy uncertainty," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 26(2), pages 621-640, June.
    6. Dai, Xingyu & Dai, Peng-Fei & Wang, Qunwei & Ouyang, Zhi-Yi, 2023. "The impact of energy-exporting countries’ EPUs on China’s energy futures investors: Risk preference, investment position and investment horizon," Research in International Business and Finance, Elsevier, vol. 64(C).
    7. Yoshito Funashima, 2024. "How does economic policy uncertainty respond to permanent and transitory shocks?," Bulletin of Economic Research, Wiley Blackwell, vol. 76(1), pages 267-282, January.
    8. Li, Yiying & Yan, Cheng & Ren, Xiaohang, 2023. "Do uncertainties affect clean energy markets? Comparisons from a multi-frequency and multi-quantile framework," Energy Economics, Elsevier, vol. 121(C).
    9. Szafranek, Karol & Szafrański, Grzegorz & Leszczyńska-Paczesna, Agnieszka, 2024. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 789-810.
    10. Rachatar Nilavongse & Michał Rubaszek & Karsten Staehr & Gazi Salah Uddin, 2021. "Foreign and Domestic Uncertainty Shocks in Four Open Economies," Open Economies Review, Springer, vol. 32(5), pages 933-954, November.
    11. Milas, Costas & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2024. "UK Foreign Direct Investment in uncertain economic times," Journal of International Money and Finance, Elsevier, vol. 147(C).
    12. Arigoni, Filippo & Lenarcic, Crt, 2023. "Foreign economic policy uncertainty shocks and real activity in the Euro area," Research Technical Papers 7/RT/23, Central Bank of Ireland.
    13. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
    14. Wang, Xinya, 2024. "Extreme risk spillovers in RMB exchange rates: The role of categorical economic policy uncertainties," International Review of Economics & Finance, Elsevier, vol. 94(C).
    15. Guoxin Fu, 2021. "Toward achieving sustainable development goal 3: Determinants, innovations, and reactions from 110 countries with different income levels," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 607-623, July.
    16. French, Joseph J. & Li, Wei-Xuan, 2022. "Economic policy uncertainty and fund flows to the United States," Finance Research Letters, Elsevier, vol. 45(C).
    17. Riadh El Abed & Zouheir Mighri & Abderrazek Ben Hamouda, 2022. "Does Economic Policy Uncertainty Affect Exchange Rate in China and Japan? Evidence from Threshold Cointegration with Asymmetric Adjustment," International Journal of Economics and Financial Issues, Econjournals, vol. 12(1), pages 28-36.
    18. Konstantina Vartholomatou & Konstantina Pendaraki & Athanasios Tsagkanos, 2022. "Corporate bonds, exchange rates and memorandum: Evidence from Greece and Ireland," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3484-3489, July.
    19. Abir ABID & Christophe RAULT, 2020. "On the Exchange Rates Volatility and Economic Policy Uncertainty Nexus: A Panel VAR Approach for Emerging Markets," LEO Working Papers / DR LEO 2894, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    20. Long, Shaobo & Zhang, Rui & Hao, Jing, 2022. "Asymmetric impact of Sino-US interest rate differentials and economic policy uncertainty ratio on RMB exchange rate," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    21. Nguyen, Thanh Pham Thien & Nghiem, Son & Tripe, David, 2021. "Does oil price aggravate the impact of economic policy uncertainty on bank performance in India?," Energy Economics, Elsevier, vol. 104(C).
    22. Jing Chen & Junxiong Fang & Chunqiu Zhang & Yi Zhou, 2023. "Homemade international diversification under economic policy uncertainty," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 31-62, February.
    23. Pastorek, Daniel, 2023. "Euro area uncertainty and Euro exchange rate volatility: Exploring the role of transnational economic policy," Finance Research Letters, Elsevier, vol. 58(PA).
    24. Abid, Abir & Rault, Christophe, 2020. "On the Exchange Rate and Economic Policy Uncertainty Nexus: A Panel VAR Approach for Emerging Markets," IZA Discussion Papers 13365, Institute of Labor Economics (IZA).
    25. Wu, Weixing & Zhao, Jing, 2022. "Economic policy uncertainty and household consumption: Evidence from Chinese households," Journal of Asian Economics, Elsevier, vol. 79(C).
    26. Lin Liu, 2022. "Economic Uncertainty and Exchange Market Pressure: Evidence From China," SAGE Open, , vol. 12(1), pages 21582440211, January.
    27. Wu, Hao & Zhu, Huiming & Huang, Fei & Mao, Weifang, 2023. "How does economic policy uncertainty drive time–frequency connectedness across commodity and financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    28. Xin Li, 2022. "Dynamic spillovers between U.S. climate policy uncertainty and global foreign exchange markets: the pass-through effect of crude oil prices," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 665-673, December.
    29. Anna A. Gainetdinova, 2023. "Asymmetric Impact of Geopolitical Risk and Economic Policy Uncertainty on Russian Ruble Exchange Rate," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(2), pages 270-293.
    30. Abir ABID & Christophe RAULT, 2020. "On the Exchange Rates Volatility and Economic Policy Uncertainty Nexus: A Panel VAR Approach for Emerging Markets," LEO Working Papers / DR LEO 2816, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    31. Jimoh Sina Ogede & Adedamola Akeem Siyanbola & Soliu Bidemi Adegboyega & Olayinka Esther Atoyebi, 2023. "On the asymmetric effects of economic policy uncertainty on renewable energy consumption: insights from sub-Saharan African countries," SN Business & Economics, Springer, vol. 3(10), pages 1-19, October.
    32. Marija Hruska & Mirjana Cizmesija, 2024. "Traditional or social media: which capture employment better?," Public Sector Economics, Institute of Public Finance, vol. 48(4), pages 399-419.

  26. Michal Rubaszek, 2019. "Private rental housing market underdevelopment: life cycle model simulations for Poland," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(2), pages 334-358.

    Cited by:

    1. Olszewski Krzysztof & Matel Anna, 2022. "Housing Cost Stress of Mortgagers and Tenants in Poland," Real Estate Management and Valuation, Sciendo, vol. 30(2), pages 61-72, June.
    2. Rubaszek Michał & Rubaszek Justyna, 2021. "Housing Tenure Preferences among Students from Two Polish Universities," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 71-83, June.
    3. Matel Anna, 2021. "Tenure Status in Life Cycle Cohorts in Poland," Real Estate Management and Valuation, Sciendo, vol. 29(3), pages 1-12, September.

  27. Kolasa, Marcin & Rubaszek, Michał, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," International Journal of Forecasting, Elsevier, vol. 34(4), pages 809-821.
    See citations under working paper version above.
  28. Adam Czerniak & Michał Rubaszek, 2018. "The Size of the Rental Market and Housing Market Fluctuations," Open Economies Review, Springer, vol. 29(2), pages 261-281, April.

    Cited by:

    1. Michal Rubaszek & Margarita Rubio, 2017. "Does rental housing market stabilize the economy? A micro and macro perspective," Discussion Papers 2017/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    2. Jakub Borowski & Adam Czerniak & Beáta Farkas, 2023. "Diverse Models of Capitalism and Synchronization of Business Cycles," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(4), pages 681-712, December.
    3. Shengqin Zheng & Ye Cheng & Yingjie Ju, 2019. "Understanding the Intention and Behavior of Renting Houses among the Young Generation: Evidence from Jinan, China," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    4. Wu Guancen & Li Chen & Niu Xing & Li Ping & Tao Li, 2021. "Evolution of Relationship Between Housing and Rental Prices and Inter-Urban Differences in China Under the Context of the Simultaneous Rental and Sales Markets Policy," Real Estate Management and Valuation, Sciendo, vol. 29(3), pages 29-38, September.
    5. Michał Hebdzyński, 2024. "Price-setting factors or revealed preferences? How to understand the results of hedonic models and hedonic indices of the housing rental market that base on listings data?," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 519-550.
    6. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.
    7. Vítor Martins & Alessandro Turrini & Bořek Vašíček & Madalina Zamfir, 2021. "Euro Area Housing Markets: Trends, Challenges and Policy Responses," European Economy - Discussion Papers 147, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    8. Michał Rubaszek & Adam Czerniak, 2017. "Preferencje Polaków dotyczące struktury własnościowej mieszkań: opis wyników ankiety," Bank i Kredyt, Narodowy Bank Polski, vol. 48(2), pages 197-234.
    9. Rapacki Ryszard & Czerniak Adam, 2018. "Emerging models of patchwork capitalism in Central and Eastern Europe: empirical results of subspace clustering," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 54(4), pages 251-268, December.
    10. Czerniak, Adam & Borowski, Jakub & Boratyński, Jakub & Rosati, Dariusz, 2020. "Asset price bubbles in a monetary union: Mind the convergence gap," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 288-302.
    11. Camilo Meyberg & Ulrich Rendtel & Holger Leerhoff, 2024. "Flat rent price prediction in Berlin with web scraping," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 18(2), pages 245-278, June.

  29. Ca’ Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2017. "Exchange rate forecasting with DSGE models," Journal of International Economics, Elsevier, vol. 107(C), pages 127-146.
    See citations under working paper version above.
  30. Michał Rubaszek & Adam Czerniak, 2017. "Preferencje Polaków dotyczące struktury własnościowej mieszkań: opis wyników ankiety," Bank i Kredyt, Narodowy Bank Polski, vol. 48(2), pages 197-234.

    Cited by:

    1. Michal Rubaszek & Margarita Rubio, 2017. "Does rental housing market stabilize the economy? A micro and macro perspective," Discussion Papers 2017/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    2. Rubaszek Michał & Rubaszek Justyna, 2021. "Housing Tenure Preferences among Students from Two Polish Universities," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 71-83, June.
    3. Matel Anna, 2021. "Tenure Status in Life Cycle Cohorts in Poland," Real Estate Management and Valuation, Sciendo, vol. 29(3), pages 1-12, September.

  31. Piotr Dybka & Michal Rubaszek, 2017. "What Determines the Current Account: Intratemporal versus Intertemporal Factors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(1), pages 2-14, March.

    Cited by:

    1. Beata K. Bierut & Piot Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," KAE Working Papers 2019-043, Warsaw School of Economics, Collegium of Economic Analysis.
    2. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
    3. Bierut, Beata K. & Dybka, Piotr, 2021. "Increase versus transformation of exports through technological and institutional innovation: Evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 99(C).
    4. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2020. "Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging," KAE Working Papers 2020-046, Warsaw School of Economics, Collegium of Economic Analysis.
    5. Dąbrowski, Marek A., 2021. "A novel approach to the estimation of an actively managed component of foreign exchange reserves," Economic Modelling, Elsevier, vol. 96(C), pages 83-95.
    6. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
    7. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.

  32. Anna KOSIOR & Michał RUBASZEK & Kamil WIERUS, 2016. "The potential effects of labour market duality for countries in a monetary union," International Labour Review, International Labour Organization, vol. 155(4), pages 509-534, December.

    Cited by:

    1. Peter Claeys & Borek Vasicek, 2017. "Transmission of Uncertainty Shocks: Learning from Heterogeneous Responses on a Panel of EU Countries," Working Papers 2017/13, Czech National Bank.

  33. Michał Rubaszek, 2016. "Forecasting the Yield Curve With Macroeconomic Variables," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 1(1), pages 1-21, June.

    Cited by:

    1. Tomasz Piotr Kostyra & Michał Rubaszek, 2020. "Forecasting the Yield Curve for Poland," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(2), pages 103-117, December.
    2. Jakub Rybacki, 2019. "Does Forward Guidance Matter in Small Open Economies? Examples from Europe," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 4(1), pages 1-26, June.
    3. Tomasz P. Kostyra, 2022. "Yield Curve Modelling with the Nelson-Siegel Method for Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 44-56.

  34. Kolasa, Aleksandra & Rubaszek, Michał, 2016. "The effect of ageing on the European economies in a life-cycle model," Economic Modelling, Elsevier, vol. 52(PA), pages 50-57.

    Cited by:

    1. Park, Cyn-Young & Shin, Kwanho & Kikkawa, Aiko, 2020. "Demographic Change, Technological Advances, and Growth: A Cross-Country Analysis," ADB Economics Working Paper Series 617, Asian Development Bank.
    2. Jeongseok Song & Doojin Ryu, 2018. "Aging effects on consumption risk-sharing channels in European countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 585-617.
    3. Georges, Patrick & Seçkin, Aylin, 2016. "From pro-natalist rhetoric to population policies in Turkey? An OLG general equilibrium analysis," Economic Modelling, Elsevier, vol. 56(C), pages 79-93.
    4. Patrik Rovný & Serhiy Moroz & Jozef Palkovič & Elena Horská, 2021. "Impact of Demographic Structure on Economic Development of Ukrainian Coastal Regions," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    5. Pascual-Saez, Marta & Cantarero-Prieto, David & Pires Manso, José R., 2020. "Does population ageing affect savings in Europe?," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 291-306.

  35. Michele Ca’ Zorzi & Jakub Muck & Michal Rubaszek, 2016. "Real Exchange Rate Forecasting and PPP: This Time the Random Walk Loses," Open Economies Review, Springer, vol. 27(3), pages 585-609, July.
    See citations under working paper version above.
  36. Kolasa, Marcin & Rubaszek, Michał, 2015. "Forecasting using DSGE models with financial frictions," International Journal of Forecasting, Elsevier, vol. 31(1), pages 1-19.
    See citations under working paper version above.
  37. Ca' Zorzi, Michele & Kocięcki, Andrzej & Rubaszek, Michał, 2015. "Bayesian forecasting of real exchange rates with a Dornbusch prior," Economic Modelling, Elsevier, vol. 46(C), pages 53-60.

    Cited by:

    1. He, Kaijian & Chen, Yanhui & Tso, Geoffrey K.F., 2018. "Forecasting exchange rate using Variational Mode Decomposition and entropy theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 15-25.
    2. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).
    3. Sarthak Behera & Hyeongwoo Kim, 2019. "Forecasting Dollar Real Exchange Rates and the Role of Real Activity Factors," Auburn Economics Working Paper Series auwp2019-04, Department of Economics, Auburn University.
    4. Kharrat, Sabrine & Hammami, Yacine & Fatnassi, Ibrahim, 2020. "On the cross-sectional relation between exchange rates and future fundamentals," Economic Modelling, Elsevier, vol. 89(C), pages 484-501.
    5. Chikashi Tsuji, 2015. "Exchange Rate Effects on Equity Prices: The Recent Case from Japan," Business and Management Research, Business and Management Research, Sciedu Press, vol. 4(4), pages 1-12, December.
    6. Emiliano Brancaccio & Raffaele Giammetti & Milena Lopreite & Michelangelo Puliga, 2023. "Convergence in solvency and capital centralization: A B‐VAR analysis for high‐income and euro area countries," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 40-73, February.
    7. Leandro Maciel & Rosangela Ballini, 2021. "Functional Fuzzy Rule-Based Modeling for Interval-Valued Data: An Empirical Application for Exchange Rates Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 743-771, February.

  38. Marcin Kolasa & Michal Rubaszek, 2015. "How Frequently Should We Reestimate DSGE Models?," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 279-305, December.
    See citations under working paper version above.
  39. Rubaszek, Michał & Serwa, Dobromił, 2014. "Determinants of credit to households: An approach using the life-cycle model," Economic Systems, Elsevier, vol. 38(4), pages 572-587.

    Cited by:

    1. José Alves & Rita Pereira, 2017. "The Portuguese Households' Indebtedness," Working Papers Department of Economics 2017/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Kim, Hyeongjun & Cho, Hoon & Ryu, Doojin, 2018. "An empirical study on credit card loan delinquency," Economic Systems, Elsevier, vol. 42(3), pages 437-449.
    3. Piotr Bolibok, 2018. "The Macroeconomic Drivers Of Household Debt-To-Income Ratio: An Evidence Frome The Oecd Countries," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 7(2), pages 29-41.
    4. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
    5. Berrak Bahadir & Neven Valev, 2021. "Credit information sharing and the shift in bank lending towards households," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 60-72, January.
    6. Nigmonov, Asror & Shams, Syed & Alam, Khorshed, 2022. "Macroeconomic determinants of loan defaults: Evidence from the U.S. peer-to-peer lending market," Research in International Business and Finance, Elsevier, vol. 59(C).
    7. Stockhammer, Engelbert & Wildauer, Rafael, 2017. "Expenditure Cascades, Low Interest Rates or Property Booms? Determinants of Household Debt in OECD countries," Greenwich Papers in Political Economy 18276, University of Greenwich, Greenwich Political Economy Research Centre.
    8. Andreea Maura Bobiceanu & Ioana Georgiana Fä‚Rcaè˜ & Andreea Maria Pece, 2022. "Covid Crisis Effects On Lending In The Romanian Banking Marke," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 30, pages 39-52, December.
    9. Massimiliano Affinito & Raffaele Santioni & Luca Tomassetti, 2023. "Inside household debt: disentangling mortgages and consumer credit, and household and bank factors. Evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 788, Bank of Italy, Economic Research and International Relations Area.
    10. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing Credit Gaps in CESEE Based on Levels Justified by Fundamentals – A Comparison Across Different Estimation Approaches (Mariarosaria Comunale, Markus Eller, Mathias Lahnsteiner)," Working Papers 229, Oesterreichische Nationalbank (Austrian Central Bank).
    11. José Ricardo Borges Alves & Rita Maria Henriques Pereira, 2020. "The indebtedness of households up until the economic adjustment programme for Portugal: an empirical assessment," Public Sector Economics, Institute of Public Finance, vol. 44(4), pages 529-550.

  40. Michał Brzoza-Brzezina & Marcin Kolasa & Grzegorz Koloch & Krzysztof Makarski & Michał Rubaszek, 2013. "Monetary Policy In A Non-Representative Agent Economy: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 27(4), pages 641-669, September.
    See citations under working paper version above.
  41. Michele Ca' Zorzi & Michał Rubaszek, 2012. "On the Empirical Evidence of the Intertemporal Current Account Model for the Euro Area Countries," Review of Development Economics, Wiley Blackwell, vol. 16(1), pages 95-106, February.
    See citations under working paper version above.
  42. Michał Rubaszek, 2012. "Mortgage down-payment and welfare in a life-cycle model," Bank i Kredyt, Narodowy Bank Polski, vol. 43(4), pages 5-28.

    Cited by:

    1. Aleksandra Kolasa, 2017. "Macroeconomic consequences of the demographic and educational transition in Poland," Working Papers 2017-30, Faculty of Economic Sciences, University of Warsaw.
    2. Michal Rubaszek & Dobromil Serwa, 2011. "Determinants of credit to households in a life-cycle model," NBP Working Papers 92, Narodowy Bank Polski.
    3. Rubaszek, Michał & Serwa, Dobromił, 2014. "Determinants of credit to households: An approach using the life-cycle model," Economic Systems, Elsevier, vol. 38(4), pages 572-587.
    4. Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski & Joanna Waszczuk, 2013. "Housing market cycles – a disequilibrium model and its application to the primary housing market in Warsaw," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 35.
    5. Arkadiusz Florczak & Janusz Jabłonowski, 2016. "Consumption over the life cycle in Poland," NBP Working Papers 252, Narodowy Bank Polski.
    6. Jan Acedański & Julia Włodarczyk, 2018. "Demographics, retirement age, and real interest rates in Poland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(4), pages 355-385, December.
    7. Aleksandra Kolasa, 2022. "The long-term impact of quasi-universal transfers to older households," Working Papers 2022-28, Faculty of Economic Sciences, University of Warsaw.
    8. Michał Rubaszek & Adam Czerniak, 2017. "Preferencje Polaków dotyczące struktury własnościowej mieszkań: opis wyników ankiety," Bank i Kredyt, Narodowy Bank Polski, vol. 48(2), pages 197-234.
    9. Michal Rubaszek, 2017. "Reforming housing rental market in a life-cycle model," KAE Working Papers 2017-028, Warsaw School of Economics, Collegium of Economic Analysis.

  43. Kocięcki, Andrzej & Kolasa, Marcin & Rubaszek, Michał, 2012. "A Bayesian method of combining judgmental and model-based density forecasts," Economic Modelling, Elsevier, vol. 29(4), pages 1349-1355.

    Cited by:

    1. Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    2. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    3. Yuri S. Popkov & Yuri A. Dubnov & Alexey Yu. Popkov, 2016. "New Method of Randomized Forecasting Using Entropy-Robust Estimation: Application to the World Population Prediction," Mathematics, MDPI, vol. 4(1), pages 1-16, March.
    4. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.

  44. Marcin Kolasa & MichaŁ Rubaszek & PaweŁ SkrzypczyŃski, 2012. "Putting the New Keynesian DSGE Model to the Real-Time Forecasting Test," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1301-1324, October.
    See citations under working paper version above.
  45. Rubaszek, Michał, 2012. "The Role Of Two Interest Rates In The Intertemporal Current Account Model," Macroeconomic Dynamics, Cambridge University Press, vol. 16(S2), pages 176-189, September.

    Cited by:

    1. Meliha ENER & Feyza ARICA, 2012. "The current account-interest rate relation: A panel data study for OECD countries," E3 Journal of Business Management and Economics., E3 Journals, vol. 3(2), pages 048-054.
    2. Rubaszek, Michał & Serwa, Dobromił, 2014. "Determinants of credit to households: An approach using the life-cycle model," Economic Systems, Elsevier, vol. 38(4), pages 572-587.

  46. Kolasa, Marcin & Rubaszek, Michal & Taglioni, Daria, 2010. "Firms in the great global recession: The role of foreign ownership and financial dependence," Emerging Markets Review, Elsevier, vol. 11(4), pages 341-357, December.
    See citations under working paper version above.
  47. Michał Rubaszek & Paweł Skrzypczyński & Grzegorz Koloch, 2010. "Forecasting the Polish Zloty with Non-Linear Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(2), pages 151-167, March.
    See citations under working paper version above.
  48. Michal Rubaszek, 2009. "Economic convergence and the fundamental equilibrium exchange rate in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 40(1), pages 7-22.
    See citations under working paper version above.
  49. Rubaszek, Michal & Rawdanowicz, Lukasz, 2009. "Economic convergence and the fundamental equilibrium exchange rate in central and eastern Europe," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 277-284, December.

    Cited by:

    1. Lòpez-Villavicencio, Antonia & Mazier, Jacques & Saadaoui, Jamel, 2012. "Temporal dimension and equilibrium exchange rate: A FEER/BEER comparison," Emerging Markets Review, Elsevier, vol. 13(1), pages 58-77.
    2. Roszkowski, Piotr & Sławińska, Kamila & Torój, Andrzej, 2014. "BEER tastes better in a panel of neighbours. On equilibrium exchange rates in CEE countries," MF Working Papers 20, Ministry of Finance in Poland.
    3. Ebrahim Hadian; & Najmeh Sajedianfard, 2018. "Monetary Fundamental-Based Exchange Rate Model in Iran: Applying a MS-TVTP Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 557-578, Spring.
    4. Piotr Kębłowski, 2011. "The Behaviour of Exchange Rates in the Central European Countries and Credit Default Risk Premiums," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(4), pages 221-236, December.
    5. Piotr Wdowiński, 2011. "Model monetarny kursu równowagi złoty/euro: analiza kointegracyjna," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 67-86.
    6. Andrea Salazar-Díaz & Aarón Levi Garavito-Acosta & Sergio Restrepo-Ángel & Leidy Viviana Arcila-Agudelo, 2022. "Real Equilibrium Exchange Rate in Colombia: Thousands of VEC Models Approach," Borradores de Economia 1221, Banco de la Republica de Colombia.
    7. Dudek, Sławomir & Pachucki, Dawid & Zachłod-Jelec, Magdalena & Zając, Tomasz & Kolski, Paweł & Fudała-Poradzińska, Iwona & Danielski, Kamil, 2012. "eMPF Econometric Model of Public Finance," MF Working Papers 14, Ministry of Finance in Poland, revised 12 Jun 2012.
    8. Michal Adam & Witold Kozinski & Janusz Zielinski, 2013. "To what extent can central banks influence exchange rates with foreign exchange interventions? The case of Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Sovereign risk: a world without risk-free assets?, volume 73, pages 279-291, Bank for International Settlements.
    9. Lucian Claudiu ANGHEL & Laurentiu-Mihai TREAPAT, 2015. "Main Economic Policies in order to Manage an Optimum Accession of Romania to the Euro Zone," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 151-169, March.
    10. Saadaoui, Jamel, 2012. "Déséquilibres globaux, taux de change d’équilibre et modélisation stock-flux cohérente [Global Imbalances, Equilibrium Exchange Rates and Stock-Flow Consistent Modelling]," MPRA Paper 51332, University Library of Munich, Germany.

  50. Rubaszek, Michal & Skrzypczynski, Pawel, 2008. "On the forecasting performance of a small-scale DSGE model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 498-512.

    Cited by:

    1. Sergey Ivashchenko, 2022. "Dynamic Stochastic General Equilibrium Model with Multiple Trends and Structural Breaks," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 46-72, March.
    2. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    3. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    4. Kitlinski, Tobias & Schmidt, Torsten, 2011. "The Forecasting Performance of an Estimated Medium Run Model," Ruhr Economic Papers 301, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    6. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
    7. Gonzalo Fernandez-de-Córdoba & José L. Torres, 2009. "Forecasting the Spanish economy with an Augmented VAR-DSGE model," Working Papers 2009-1, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    8. Bekiros Stelios & Paccagnini Alessia, 2015. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 107-136, April.
    9. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    10. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.
    11. Stelios D. Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Open Access publications 10197/7329, School of Economics, University College Dublin.
    12. João Valle e Azevedo, 2011. "Rational vs. professional forecasts," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    13. Marcin Kolasa & Michał Rubaszek, 2014. "How frequently should we re-estimate DSGE models?," NBP Working Papers 194, Narodowy Bank Polski.
    14. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    15. Yantao Gao & Xilong Yao & Wenxi Wang & Xin Liu, 2019. "Dynamic effect of environmental tax on export trade: Based on DSGE mode," Energy & Environment, , vol. 30(7), pages 1275-1290, November.
    16. João Valle e Azevedo & Inês Maria Gonçalves, 2015. "Macroeconomic Forecasting Starting from Survey Nowcasts," Working Papers w201502, Banco de Portugal, Economics and Research Department.
    17. Ivashchenko, S., 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 27-50.
    18. Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," CFS Working Paper Series 577, Center for Financial Studies (CFS).
    19. Nyberg, Henri & Saikkonen, Pentti, 2012. "Forecasting with a noncausal VAR model," Bank of Finland Research Discussion Papers 33/2012, Bank of Finland.
    20. Skrove Falch, Nina & Nymoen, Ragnar, 2011. "The accuracy of a forecast targeting central bank," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-36.
    21. Kolasa, Marcin & Rubaszek, Michał & Skrzypczyński, Paweł, 2009. "Putting the New Keynesian DSGE model to the real-time forecasting test," Working Paper Series 1110, European Central Bank.
    22. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    23. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models," Working Papers 2014-426, Department of Research, Ipag Business School.
    24. Sergey Ivashchenko, 2015. "A 5-sector DSGE Model of Russia," EUSP Department of Economics Working Paper Series 2015/01, European University at St. Petersburg, Department of Economics.
    25. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," EERI Research Paper Series EERI RP 2017/04, Economics and Econometrics Research Institute (EERI), Brussels.
    26. Sergey Ivashchenko, 2014. "Forecasting in a Non-Linear DSGE Model," EUSP Department of Economics Working Paper Series 2014/02, European University at St. Petersburg, Department of Economics.
    27. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    28. Österholm, Pär, 2012. "The limited usefulness of macroeconomic Bayesian VARs when estimating the probability of a US recession," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 76-86.
    29. Stefano Neri & Tiziano Ropele, 2012. "Imperfect Information, Real‐Time Data and Monetary Policy in the Euro Area," Economic Journal, Royal Economic Society, vol. 122(561), pages 651-674, June.
    30. Andrzej Kociecki & Marcin Kolasa & Michal Rubaszek, 2011. "Predictivistic Bayesian Forecasting System," NBP Working Papers 87, Narodowy Bank Polski.
    31. Periklis Gogas & Theophilos Papadimitriou & Elvira Takli, 2013. "Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach," Economics Bulletin, AccessEcon, vol. 33(2), pages 1101-1115.
    32. Kwas, Marek & Beckmann, Joscha & Rubaszek, Michał, 2024. "Are consensus FX forecasts valuable for investors?," International Journal of Forecasting, Elsevier, vol. 40(1), pages 268-284.
    33. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    34. Sergey Ivashchenko & Semih Emre Cekin & Rangan Gupta & Chien-Chiang Lee, 2022. "Real-Time Forecast of DSGE Models with Time-Varying Volatility in GARCH Form," Working Papers 202204, University of Pretoria, Department of Economics.
    35. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    36. Иващенко Сергей Михайлович, 2016. "Многосекторная Модель Динамического Стохастического Общего Экономического Равновесия Российской Экономики," Vestnik of the St. Petersburg University. Series 5. Economics Вестник Санкт-Петербургского университета. Серия 5. Экономика, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный университет», issue 3, pages 176-202.
    37. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    38. Ulrich Gunter, 2019. "Estimating and forecasting with a two-country DSGE model of the Euro area and the USA: the merits of diverging interest-rate rules," Empirical Economics, Springer, vol. 56(4), pages 1283-1323, April.
    39. Víctor López-Pérez, 2017. "Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 147-174, February.
    40. Ruey Yau & C. James Hueng, 2019. "Nowcasting GDP Growth for Small Open Economies with a Mixed-Frequency Structural Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 177-198, June.
    41. Kocięcki, Andrzej & Kolasa, Marcin & Rubaszek, Michał, 2012. "A Bayesian method of combining judgmental and model-based density forecasts," Economic Modelling, Elsevier, vol. 29(4), pages 1349-1355.

  51. Michal Rubaszek, 2004. "A Model of Balance of Payments Equilibrium Exchange Rate," Eastern European Economics, Taylor & Francis Journals, vol. 42(3), pages 5-22, May.

    Cited by:

    1. Keblowski, Piotr & Welfe, Aleksander, 2010. "Estimation of the equilibrium exchange rate: The CHEER approach," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1385-1397, November.
    2. Martin Melecky & Lubos Komarek, 2005. "The Behavioral Equilibrium Exchange Rate of the Czech Koruna," International Finance 0504010, University Library of Munich, Germany.
    3. Kiptui, Moses C. & Ndirangu, Lydia, 2015. "Determinants of Equilibrium Real Exchange Rate and its Misalignment in Kenya: A Behavioral Equilibrium Exchange Rate Approach," MPRA Paper 70542, University Library of Munich, Germany, revised 06 Apr 2016.
    4. Kębłowski, Piotr & Welfe, Aleksander, 2012. "A risk-driven approach to exchange rate modelling," Economic Modelling, Elsevier, vol. 29(4), pages 1473-1482.
    5. Alper, Ahmet Murat & Civcir, İrfan, 2012. "Can overvaluation prelude to crisis and harm growth in Turkey," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 112-131.
    6. Horvath, Roman & Komarek, Lubos, 2006. "Equilibrium Exchange Rates in EU New Members: Applicable for Setting the ERM II Central Parity?," MPRA Paper 1180, University Library of Munich, Germany.
    7. Jakub Borowski & Adam Czerniak & Krystian Jaworski, 2014. "The quest for determinants of Chinese exchange rate policy," Bank i Kredyt, Narodowy Bank Polski, vol. 45(5), pages 407�432-4.
    8. Przystupa, Jan, 2009. "Approaching a problem of the long-run real equilibrium exchange rate of Polish zloty while entering the ERM-2 and Euro zone," MPRA Paper 19549, University Library of Munich, Germany.

Chapters

  1. Piotr Banbula & Witold Kozinski & Michal Rubaszek, 2011. "The role of the exchange rate in monetary policy in Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Capital flows, commodity price movements and foreign exchange intervention, volume 57, pages 285-295, Bank for International Settlements.

    Cited by:

    1. Lazăr, Dorina & Todea, Alexandru & Filip, Diana, 2012. "Martingale difference hypothesis and financial crisis: Empirical evidence from European emerging foreign exchange markets," Economic Systems, Elsevier, vol. 36(3), pages 338-350.
    2. Katarzyna Twarowska, 2015. "The Impact of Exchange Rate on Poland’s Trade Flows," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 4(1), pages 41-57.
    3. Vujanić Vlado & Gligorić Dragan & Žarković Nikola, 2019. "The Contribution of Monetary Policy to Mitigating the Consequences of the World Economic Crisis in Poland," Economic Themes, Sciendo, vol. 57(3), pages 329-350, September.
    4. Toktaş, Yılmaz & Parlińska, Agnieszka, 2020. "The Impact of the Real Effective Exchange Rate on Poland’s Food and Live Animal Exports," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 20(35, Part ), December.

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