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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. 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. 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.
    2. 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.
    3. Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
    4. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    5. 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).
    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. 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.
    8. 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.
    9. Bacchetta, Philippe & Chikhani, Pauline, 2020. "On the Weakness of the Swedish Krona," CEPR Discussion Papers 15468, C.E.P.R. Discussion Papers.
    10. 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. 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).
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. Paul Ghelasi & Florian Ziel, 2023. "Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions," Papers 2305.16255, arXiv.org.
    11. 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).
    12. 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).
    13. 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.
    14. 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.
    15. Wang, Xiaoqian & Kang, Yanfei & Hyndman, Rob J. & Li, Feng, 2023. "Distributed ARIMA models for ultra-long time series," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1163-1184.
    16. 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.
    17. 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.
    18. 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.
    19. Jozef Barunik & Lubos Hanus, 2023. "Learning Probability Distributions of Day-Ahead Electricity Prices," Papers 2310.02867, arXiv.org, revised Oct 2023.
    20. 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.
    21. Jeroen Rombouts & Marie Ternes & Ines Wilms, 2024. "Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning," Papers 2402.09033, arXiv.org.
    22. 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.
    23. 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).
    24. 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.
    25. 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.
    26. Katarzyna Maciejowska & Bartosz Uniejewski & Rafa{l} Weron, 2022. "Forecasting Electricity Prices," Papers 2204.11735, arXiv.org.
    27. 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).
    28. 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).
    29. 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).
    30. Richard Bean, 2023. "Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge," Energies, MDPI, vol. 16(3), pages 1-23, January.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. Niklas Valentin Lehmann, 2023. "Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts," Papers 2312.09081, arXiv.org.
    36. 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.
    37. 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.
    38. 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. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

  6. Kolasa, Marcin & Rubaszek, Michał & Walerych, Małgorzata, 2019. "Are flexible working hours helpful in stabilizing unemployment?," Bank of Finland Research Discussion Papers 24/2019, Bank of Finland.

    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. Kudoh, Noritaka & Miyamoto, Hiroaki, 2023. "Do general equilibrium effects matter for labor market dynamics?," Economic Modelling, Elsevier, vol. 119(C).
    3. 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.
    4. 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.

  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. 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.
    3. 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).
    4. 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.
    5. Zhang, Yaojie & He, Mengxi & Wen, Danyan & Wang, Yudong, 2023. "Forecasting crude oil price returns: Can nonlinearity help?," Energy, Elsevier, vol. 262(PB).
    6. 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).
    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. Kolasa, Marcin & Rubaszek, Michał & Walerych, Małgorzata, 2019. "Are flexible working hours helpful in stabilizing unemployment?," Bank of Finland Research Discussion Papers 24/2019, Bank of Finland.

    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. Kudoh, Noritaka & Miyamoto, Hiroaki, 2023. "Do general equilibrium effects matter for labor market dynamics?," Economic Modelling, Elsevier, vol. 119(C).
    3. 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.
    4. 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.

  9. 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. 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.
    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. 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).
    4. Engel, Charles & Wu, Steve Pak Yeung, 2021. "Forecasting the U.S. Dollar in the 21st Century," CEPR Discussion Papers 15915, C.E.P.R. Discussion Papers.
    5. 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.
    6. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Nasir, Muhammad Ali, 2020. "Forecasting inflation under uncertainty: The forgotten dog and the frisbee," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    13. 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.
    14. 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).
    15. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

  10. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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.

  11. 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. 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.
    5. 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.
    6. Marcin Kolasa & Michal Rubaszek, 2016. "Does foreign sector help forecast domestic variables in DSGE models?," EcoMod2016 9393, EcoMod.
    7. 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.
    8. Tomosk, Steve & Haysom, Joan E. & Wright, David, 2017. "Quantifying economic risk in photovoltaic power projects," Renewable Energy, Elsevier, vol. 109(C), pages 422-433.
    9. 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.
    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. Reinhard Ellwanger, Stephen Snudden, 2021. "Predictability of Aggregated Time Series," LCERPA Working Papers bm0127, Laurier Centre for Economic Research and Policy Analysis.
    12. Michal Rubaszek & Pawel Skrzypczynski & Grzegorz Koloch, 2011. "Forecasting the Polish zloty with non-linear models," NBP Working Papers 81, Narodowy Bank Polski.
    13. 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.
    14. 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.
    15. Rubaszek, Michał & Beckmann, Joscha & Ca' Zorzi, Michele & Kwas, Marek, 2022. "Boosting carry with equilibrium exchange rate estimates," Working Paper Series 2731, European Central Bank.
    16. 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.
    17. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    18. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    19. 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).
    20. 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.
    21. Kose, M. Ayhan & Claessens, Stijn, 2017. "Asset Prices and Macroeconomic Outcomes: A Survey," CEPR Discussion Papers 12460, C.E.P.R. Discussion Papers.
    22. 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).
    23. 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.
    24. 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).
    25. 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.
    26. 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.
    27. 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).
    28. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.
    29. 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).
    30. 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).

  12. 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. 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.
    3. 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.
    4. Van Nguyen, Phuong, 2020. "The Vietnamese business cycle in an estimated small open economy New Keynesian DSGE model," Dynare Working Papers 56, CEPREMAP.
    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. 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.
    7. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    8. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.

  13. 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. 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.
    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. 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).
    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. 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.
    7. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    8. 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.
    9. 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.
    10. Cheung, Yin-Wong & Chinn, Menzie D. & Garcia Pascual, Antonio & Zhang, Yi, 2017. "Exchange rate prediction redux: new models, new data, new currencies," Working Paper Series 2018, European Central Bank.
    11. 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.
    12. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    13. 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.
    14. Nyoni, Thabani, 2019. "An ARIMA analysis of the Indian Rupee/USD exchange rate in India," MPRA Paper 96908, University Library of Munich, Germany.
    15. 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.
    16. 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).

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

    Cited by:

    1. 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.
    2. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    3. Benchimol, Jonathan, 2016. "Money and monetary policy in Israel during the last decade," MPRA Paper 69587, University Library of Munich, Germany.
    4. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    5. 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.
    6. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.

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

    Cited by:

    1. 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.
    2. 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.
    3. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    4. 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.
    5. Marcin Kolasa & Michal Rubaszek, 2016. "Does foreign sector help forecast domestic variables in DSGE models?," EcoMod2016 9393, EcoMod.
    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. 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. 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.
    9. Aliaga Miranda, Augusto, 2020. "Monetary policy rules for an open economy with financial frictions: A Bayesian approach," Dynare Working Papers 62, CEPREMAP.
    10. 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.
    11. 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.
    12. Karol Szafranek, 2017. "Bagged artificial neural networks in forecasting inflation: An extensive comparison with current modelling frameworks," NBP Working Papers 262, Narodowy Bank Polski.
    13. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Time Varying DSGE Model with Financial Frictions," Working Papers 769, Queen Mary University of London, School of Economics and Finance.
    14. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    15. Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016. "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Open Access publications 10197/7323, School of Economics, University College Dublin.
    16. 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.
    17. 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.
    18. Erlan Konebayev, 2022. "Forecasting a commodity-exporting small open developing economy using DSGE and DSGE-BVAR," NAC Analytica Working Paper 24, NAC Analytica, Nazarbayev University, revised May 2022.
    19. 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.
    20. 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.
    21. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. Fritz Breuss, 2016. "Would DSGE Models have Predicted the Great Recession in Austria?," WIFO Working Papers 530, WIFO.
    27. 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.
    28. 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.
    29. 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.
    30. Paccagnini, Alessia, 2019. "Did financial factors matter during the Great Recession?," Economics Letters, Elsevier, vol. 174(C), pages 26-30.
    31. 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.
    32. 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.
    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.

  16. 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. 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.
    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. 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).
    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. 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.
    7. Zorzi, Michele Ca’ & Rubaszek, Michał, 2020. "Exchange rate forecasting on a napkin," Journal of International Money and Finance, Elsevier, vol. 104(C).
    8. Ca' Zorzi, Michele & Chudik, Alexander, 2013. "Spatial considerations on the PPP debate," Working Paper Series 1534, European Central Bank.
    9. 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.
    10. 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.
    11. Cheung, Yin-Wong & Chinn, Menzie D. & Garcia Pascual, Antonio & Zhang, Yi, 2017. "Exchange rate prediction redux: new models, new data, new currencies," Working Paper Series 2018, European Central Bank.
    12. 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.
    13. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
    14. 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.
    15. Nyoni, Thabani, 2019. "An ARIMA analysis of the Indian Rupee/USD exchange rate in India," MPRA Paper 96908, University Library of Munich, Germany.
    16. 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.
    17. 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).

  17. 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. Dobromil Serwa, 2011. "Identifying multiple regimes in the model of credit to households," NBP Working Papers 99, Narodowy Bank Polski.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

  18. 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. 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.
    2. 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.
    3. Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating Overidentified, Nonrecursive Time-Varying Coefficients Structural VARs," Working Papers 637, Barcelona School of Economics.
    4. 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.
    5. Jiranyakul, Komain, 2016. "Identifying the Effects of Monetary Policy Shock on Output and Prices in Thailand," MPRA Paper 75708, University Library of Munich, Germany.
    6. 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.

  19. 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.

  20. 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. Paul Levine, 2012. "Monetary policy in an uncertain world: probability models and the design of robust monetary rules," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 70-88, April.
    2. 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.
    3. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Research Reports JRC111603, Joint Research Centre.
    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.

  21. 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.

  22. 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. Anna Ferragina & Fernanda Mazzotta, 2018. "Firm Employment Resilience and FDI: Evidence from Italy," L'industria, Società editrice il Mulino, issue 4, pages 523-556.
    2. 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.
    3. 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).
    4. 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.).
    5. 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.
    6. 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.
    7. Strieborny, Martin, 2013. "Suppliers, Investors, and Equity Market Liberalizations," Knut Wicksell Working Paper Series 2013/13, Lund University, Knut Wicksell Centre for Financial Studies.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Gereffi, Gary & Luo, Xubei, 2014. "Risks and opportunities of participation in global value chains," Policy Research Working Paper Series 6847, The World Bank.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Jensen Camilla & Rastenienė Aušrytė, 2016. "Lithuanian Exporters in the Financial Crisis," Ekonomika (Economics), Sciendo, vol. 95(2), pages 118-138, February.
    20. 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.
    21. 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.
    22. Iwasaki, Ichiro, 2014. "Global financial crisis, corporate governance, and firm survival:," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 178-211.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    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.

  23. 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. 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. 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.
    3. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    4. 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.
    5. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    14. Stelios Bekiros & Alessia Paccagnini, 2013. "Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models," Working Papers 236, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
    15. Erlan Konebayev, 2022. "Forecasting a commodity-exporting small open developing economy using DSGE and DSGE-BVAR," NAC Analytica Working Paper 24, NAC Analytica, Nazarbayev University, revised May 2022.
    16. Ray C. Fair, 2018. "Information Content of DSGE Forecasts," Cowles Foundation Discussion Papers 2140, Cowles Foundation for Research in Economics, Yale University.
    17. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    18. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    19. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    20. 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.
    21. 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.
    22. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    23. 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.
    24. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    25. 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).
    26. 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.
    27. 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.
    28. 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.
    29. João Valle e Azevedo & Inês Maria Gonçalves, 2015. "Macroeconomic Forecasting Starting from Survey Nowcasts," Working Papers w201502, Banco de Portugal, Economics and Research Department.
    30. 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.
    31. 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.
    32. Fair, Ray C., 2020. "Variable mismeasurement in a class of DSGE models: Comment," Journal of Macroeconomics, Elsevier, vol. 66(C).
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. Ray Fair, 2018. "Information Content of DSGE Forecasts," Papers 1808.02910, arXiv.org.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.

  24. 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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

  25. 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. Philip R. Lane & Barbara Pels, 2012. "Current Account Imbalances in Europe," The Institute for International Integration Studies Discussion Paper Series iiisdp397, IIIS.
    3. Karl Farmer & Irina Ban, 2014. "Modeling financial integration, intra-EMU and Asian-US external imbalances," Graz Economics Papers 2014-06, University of Graz, Department of Economics.
    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. 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.
    8. 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).
    9. 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.
    10. Sophocles Brissimis & George Hondroyiannis & Christos Papazoglou & Nicholas Tsaveas & Melina Vasardani, 2012. "Current account determinants and external sustainability in periods of structural change," Economic Change and Restructuring, Springer, vol. 45(1), pages 71-95, February.
    11. 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.
    12. Mr. Jörg Decressin & Mr. Emil Stavrev, 2009. "Current Accounts in a Currency Union," IMF Working Papers 2009/127, International Monetary Fund.
    13. 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.
    14. 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.
    15. 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.
    16. Danica Unevska Andonova & Branimir Jovanovic, 2011. "Sustainability of the Macedonian Current Account," Working Papers 2011-06, National Bank of the Republic of North Macedonia.
    17. 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.
    18. Enno Schröder, 2016. "Euro Area Imbalances: Measuring the Contribution of Expenditure Growth and Expenditure Switching," Working Papers 1604, New School for Social Research, Department of Economics.
    19. Berger, Helge & Nitsch, Volker, 2014. "Wearing corset, losing shape: The euro's effect on trade imbalances," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63681, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    20. Adam, Antonis & Tsarsitalidou, Sofia, 2017. "Do Democracies Have Higher Current Account Deficits?," MPRA Paper 76400, University Library of Munich, Germany.
    21. 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.
    22. 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.
    23. Mr. Helge Berger & Volker Nitsch, 2010. "The Euro’s Effecton Trade Imbalances," IMF Working Papers 2010/226, International Monetary Fund.
    24. Florian Morvillier, 2018. "On the impact of the launch of the euro on EMU macroeconomic vulnerability," Working Papers hal-04141675, HAL.
    25. 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.

  26. 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.

  27. 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.

  28. 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. Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    2. Katarzyna Budnik, 2008. "Non-accelerating wage inflation rate of unemployment in Poland," NBP Working Papers 48, Narodowy Bank Polski.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Chmielewski, Tomasz & Kot, Adam, 2006. "Impact of globalisation? Changes in the MTM in Poland," MPRA Paper 8386, University Library of Munich, Germany.

  29. 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 & 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. 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.
    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.

  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).

    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.

  3. 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.
  4. 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. 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).
    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).

  5. 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.
  6. 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. 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).
    2. 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 1-18, December.
    3. 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.
    4. 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).
    5. 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.

  7. 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. 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.
    2. 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).

  8. 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.

  9. 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.

  10. 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.
  11. 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. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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).

  12. Kolasa, Marcin & Rubaszek, Michał & Walerych, Małgorzata, 2021. "Do flexible working hours amplify or stabilize unemployment fluctuations?," European Economic Review, Elsevier, vol. 131(C).

    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. Kudoh, Noritaka & Miyamoto, Hiroaki, 2023. "Do general equilibrium effects matter for labor market dynamics?," Economic Modelling, Elsevier, vol. 119(C).
    3. 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.
    4. 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.

  13. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

    Cited by:

    1. 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.
    2. 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.

  14. 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.

  15. 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.
  16. 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. 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).
    2. 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.
    3. 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.

  17. 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.
  18. 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. Zuzanna Karolak, 2021. "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 577-598.
    2. 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).
    3. 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.
    4. 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).
    5. 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).
    6. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

  19. 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. 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).
    2. 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.
    3. Zuzanna Karolak, 2021. "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 577-598.
    4. 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).
    5. 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).
    6. Marek Kwas & Michał Rubaszek, 2021. "Forecasting Commodity Prices: Looking for a Benchmark," Forecasting, MDPI, vol. 3(2), pages 1-13, June.

  20. 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.
  21. 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.

  22. 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. 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.
    2. 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.
    3. 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).
    4. 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.
    5. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    6. 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.
    7. 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).
    8. 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).

  23. 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. 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.
    2. Yoshito Funashima, 2022. "Economic policy uncertainty and unconventional monetary policy," Manchester School, University of Manchester, vol. 90(3), pages 278-292, June.
    3. 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.
    4. 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).
    5. 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.
    6. 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).
    7. 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.
    8. Abir Abid & Christophe Rault, 2021. "On the Exchange Rates Volatility and Economic Policy Uncertainty Nexus: A Panel VAR Approach for Emerging Markets," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 403-425, September.
    9. 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).
    10. 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.
    11. 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).
    12. Lin Liu, 2022. "Economic Uncertainty and Exchange Market Pressure: Evidence From China," SAGE Open, , vol. 12(1), pages 21582440211, January.
    13. 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.
    14. Arigoni, Filippo & Lenarčič, Črt, 2023. "Foreign economic policy uncertainty shocks and real activity in the Euro area," MPRA Paper 120022, University Library of Munich, Germany.
    15. 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.
    16. 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).
    17. 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.
    18. Xiao, Jihong & Wang, Yudong, 2021. "Investor attention and oil market volatility: Does economic policy uncertainty matter?," Energy Economics, Elsevier, vol. 97(C).
    19. 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.
    20. French, Joseph J. & Li, Wei-Xuan, 2022. "Economic policy uncertainty and fund flows to the United States," Finance Research Letters, Elsevier, vol. 45(C).
    21. 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.
    22. 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).
    23. Wu, Weixing & Zhao, Jing, 2022. "Economic policy uncertainty and household consumption: Evidence from Chinese households," Journal of Asian Economics, Elsevier, vol. 79(C).
    24. 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).
    25. 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.
    26. 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.

  24. 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. 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.
    2. 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.
    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.

  25. 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.
  26. 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. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    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. 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.

  27. 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.
  28. 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. 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.
    2. 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).
    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.

  29. 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. 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.
    2. Beata Bierut & Piotr Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," NBP Working Papers 306, Narodowy Bank Polski.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    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.

  30. 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.

  31. 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.

  32. 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. 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.
    4. 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.
    5. 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.

  33. 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.
  34. 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.
  35. 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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

  36. 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.
  37. 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. 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).
    6. Engelbert Stockhammer & Rafael Wildauer, 2017. "Expenditure cascades, low interest rates or property booms? Determinants of household debt in OECD Countries," Working Papers PKWP1710, Post Keynesian Economics Society (PKES).
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.

  38. 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.
  39. 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.
  40. 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. 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.
    3. 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.
    4. Michal Rubaszek & Dobromil Serwa, 2011. "Determinants of credit to households in a life-cycle model," NBP Working Papers 92, Narodowy Bank Polski.
    5. 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.
    6. Arkadiusz Florczak & Janusz Jabłonowski, 2016. "Consumption over the life cycle in Poland," NBP Working Papers 252, Narodowy Bank Polski.
    7. 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.
    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.

  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.

    Cited by:

    1. 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.
    2. Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    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.

  42. 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.
  43. 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.

  44. 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.
  45. 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.
  46. 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.
  47. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.

  48. 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. 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. 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.
    3. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    12. 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.
    13. 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.
    14. 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.
    15. Stelios Bekiros & Alessia Paccagnini, 2013. "Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models," Working Papers 236, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
    16. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    17. 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.
    18. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    19. João Valle e Azevedo & João Tovar Jalles, 2011. "Rational vs. Professional Forecasts," Working Papers w201114, Banco de Portugal, Economics and Research Department.
    20. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    21. Nyberg, Henri & Saikkonen, Pentti, 2014. "Forecasting with a noncausal VAR model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 536-555.
    22. Periklis Gogas & Theophilos Papadimitriou & Elvira Takli, 2013. "Comparison of Simple Sum and Divisia Monetary Aggregates in GDP Forecasting: A Support Vector Machines Approach," Working Paper series 04_13, Rimini Centre for Economic Analysis.
    23. 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.
    24. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
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    26. 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.
    27. 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.
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  49. 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. 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.
    6. 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.
    7. 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.
    8. 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.

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. 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.
    2. 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.
    3. 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.
    4. 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.

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