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Sylvia Kaufmann

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Sylvia Kaufmann & Sylvia Frühwirth-Schnatter, 2006. "How do changes in monetary policy affect bank lending? An analysis of Austrian bank data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 275-305.

    Mentioned in:

    1. How do changes in monetary policy affect bank lending? An analysis of Austrian bank data (Journal of Applied Econometrics 2006) in ReplicationWiki ()
  2. Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.

    Mentioned in:

    1. Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data (Journal of Applied Econometrics 2010) in ReplicationWiki ()

Working papers

  1. Fischer, Andreas & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, C.E.P.R. Discussion Papers.

    Cited by:

    1. Andreas M. Fischer & Pinar Yesin, 2023. "The kindness of strangers: Brexit and bilateral financial linkages," Working Papers 2023-02, Swiss National Bank.
    2. Wang, Xichen & Duan, Xiaomei, 2024. "What leads some countries to experience larger decreases in foreign flows during low-flow episodes? Evidence from international portfolio flows," Journal of International Money and Finance, Elsevier, vol. 148(C).
    3. Jean-Baptiste Hasse & Christelle Lecourt & Souhila Siagh, 2023. "Institutional Stock-Bond Portfolios Rebalancing and Financial Stability," AMSE Working Papers 2322, Aix-Marseille School of Economics, France.
    4. Chinn, Menzie D. & Ito, Hiro & McCauley, Robert N., 2022. "Do central banks rebalance their currency shares?," Journal of International Money and Finance, Elsevier, vol. 122(C).
    5. Jaydip Sen & Arup Dasgupta & Subhasis Dasgupta & Sayantani Roychoudhury, 2023. "A Portfolio Rebalancing Approach for the Indian Stock Market," Papers 2310.09770, arXiv.org.

  2. Sylvia Kaufmann, 2020. "Covid-19 outbreak and beyond: The information content of registered short-time workers for GDP now- and forecasting," Working Papers 20.03, Swiss National Bank, Study Center Gerzensee.

    Cited by:

    1. Peter Kugler & George Sheldon, 2023. "A monthly leading indicator of Swiss GDP growth based on Okun’s law," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-14, December.
    2. Rong Fu & Luze Xie & Tao Liu & Juan Huang & Binbin Zheng, 2022. "Chinese Economic Growth Projections Based on Mixed Data of Carbon Emissions under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    3. Sylvia Kaufmann, 2023. "Covid-19 outbreak and beyond: a retrospect on the information content of short-time workers for GDP now- and forecasting," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-10, December.
    4. Sylvia Kaufmann, 2022. "Covid-19 outbreak and beyond: A retrospect on the information content of registered short-time workers for GDP now- and forecasting," Working Papers 22.02, Swiss National Bank, Study Center Gerzensee.

  3. Monica Billio & Roberto Casarin & Sylvia Kaufmann & Matteo Iacopini, 2018. "Bayesian Dynamic Tensor Regression," Working Papers 2018:13, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Alain Hecq & Ivan Ricardo & Ines Wilms, 2024. "Reduced-Rank Matrix Autoregressive Models: A Medium $N$ Approach," Papers 2407.07973, arXiv.org.
    2. Monica Billio & Roberto Casarin & Michele Costola & Matteo Iacopini, 2021. "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Working Papers 2021:05, Department of Economics, University of Venice "Ca' Foscari".

  4. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.

    Cited by:

    1. Massimiliano Marcellino & Andrea Renzetti & Tommaso Tornese, 2024. "Firm Heterogeneity and Macroeconomic Fluctuations: a Functional VAR model," Papers 2411.05695, arXiv.org.
    2. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," PSE Working Papers halshs-02235543, HAL.

  5. Gregor Bäurle & Daniel Kaufmann & Sylvia Kaufmann & Rodney W. Strachan, 2016. "Changing dynamics at the zero lower bound," Working Papers 2016-16, Swiss National Bank.

    Cited by:

    1. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    2. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    3. Gregor Bäurle & Daniel Kaufmann, 2018. "Measuring Exchange Rate, Price, and Output Dynamics at the Effective Lower Bound," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1243-1266, December.

  6. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.

    Cited by:

    1. Kaufmann, Sylvia & Gaggl, Paul, 2016. "The Cyclical Component of Labor Market Polarization and Jobless Recoveries in the US," VfS Annual Conference 2016 (Augsburg): Demographic Change 145869, Verein für Socialpolitik / German Economic Association.

  7. Paul Gaggl & Sylvia Kaufmann, 2014. "The Cyclical Component of Labor Market Polarization and Jobless Recoveries in the US," Working Papers 14.03, Swiss National Bank, Study Center Gerzensee.

    Cited by:

    1. Paker, Meredith M., 2023. "The jobless recovery after the 1980–1981 British recession," Explorations in Economic History, Elsevier, vol. 90(C).
    2. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
    3. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    4. Zhang, Wen, 2019. "Deciphering the causes for the post-1990 slow output recoveries," Economics Letters, Elsevier, vol. 176(C), pages 28-34.
    5. Masao Fukui & Emi Nakamura & Jón Steinsson, 2018. "Women, Wealth Effects, and Slow Recoveries," NBER Working Papers 25311, National Bureau of Economic Research, Inc.
    6. Nir Jaimovich, 2015. "The Research Agenda: Nir Jaimovich on The changing nature of business cycles," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 16(2), November.

  8. Sylvia Kaufmann & Johann Scharler, 2013. "Bank-Lending Standards, Loan Growth and the Business Cycle in the Euro Area," Working Papers 2013-34, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Gibson, Heather D. & Hall, Stephen G. & Petroulas, Pavlos & Spiliotopoulos, Vassilis & Tavlas, George S., 2020. "The effect of emergency liquidity assistance (ELA) on bank lending during the euro area crisis," Journal of International Money and Finance, Elsevier, vol. 108(C).

  9. Sylvia Kaufmann & Christian Schumacher, 2013. "Bayesian estimation of sparse dynamic factor models with order-independent identification," Working Papers 13.04, Swiss National Bank, Study Center Gerzensee.

    Cited by:

    1. Kaufmann, Sylvia & Gaggl, Paul, 2016. "The Cyclical Component of Labor Market Polarization and Jobless Recoveries in the US," VfS Annual Conference 2016 (Augsburg): Demographic Change 145869, Verein für Socialpolitik / German Economic Association.
    2. Gregor Kastner, 2016. "Sparse Bayesian time-varying covariance estimation in many dimensions," Papers 1608.08468, arXiv.org, revised Nov 2017.
    3. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
    4. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    5. James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
    6. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
    7. Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017. "The role of indicator selection in nowcasting euro-area GDP in pseudo-real time," Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
    8. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
    9. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2014. "Bayesian analysis of dynamic factor models: An ex-post approach towards the rotation problem," Kiel Working Papers 1902, Kiel Institute for the World Economy (IfW Kiel).
    10. Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.

  10. Kaufmann, Sylvia & Schumacher, Christian, 2012. "Finding relevant variables in sparse Bayesian factor models: Economic applications and simulation results," Discussion Papers 29/2012, Deutsche Bundesbank.

    Cited by:

    1. Ana Beatriz Galvão & Michael T. Owyang, 2018. "Financial Stress Regimes and the Macroeconomy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1479-1505, October.
    2. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
    3. Jörg Breitung & Sandra Eickmeier, 2014. "Analyzing business and financial cycles using multi-level factor models," CAMA Working Papers 2014-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Gary Koop & Dimitris Korobilis, 2013. "A new index of financial conditions," Working Papers 1307, University of Strathclyde Business School, Department of Economics.
    5. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
    6. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    7. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    8. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers 2016:20, Department of Economics, University of Venice "Ca' Foscari".
    9. Sylvia Kaufmann & Christian Schumacher, 2013. "Bayesian estimation of sparse dynamic factor models with order-independent identification," Working Papers 13.04, Swiss National Bank, Study Center Gerzensee.

  11. Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.

    Cited by:

    1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    2. Kaufmann, Sylvia & Gaggl, Paul, 2016. "The Cyclical Component of Labor Market Polarization and Jobless Recoveries in the US," VfS Annual Conference 2016 (Augsburg): Demographic Change 145869, Verein für Socialpolitik / German Economic Association.
    3. Andrea Eross & Andrew Urquhart & Simon Wolfe, 2019. "Investigating risk contagion initiated by endogenous liquidity shocks: evidence from the US and eurozone interbank markets," The European Journal of Finance, Taylor & Francis Journals, vol. 25(1), pages 35-53, January.

  12. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, 2010. "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.

    Cited by:

    1. Sven Arndt, 2006. "Regional currency arrangements in North America," International Economics and Economic Policy, Springer, vol. 3(3), pages 265-280, December.
    2. Burgstaller Johann, 2010. "Bank Lending and Monetary Policy Transmission in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 163-185, April.
    3. Hans Genberg, 2006. "Exchange-Rate Arrangements an Financial Integration in East Asia: On a Collision Course?," Working Papers 122, Oesterreichische Nationalbank (Austrian Central Bank).
    4. Sylvia Kaufmann & Maria Teresa Valderrama, 2008. "Bank lending in Germany and the UK: are there differences between a bank-based and a market-based country?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 266-279.
    5. Sylvia Kaufmann & Peter Kugler, 2008. "Does Money Matter For Inflation In The Euro Area?," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 590-606, October.
    6. Bedayo, Mikel & Estrada, Ángel & Saurina, Jesús, 2020. "Bank capital, lending booms, and busts: Evidence from Spain over the last 150 years," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    7. Kaufmann, Sylvia & Valderrama, Maria Teresa, 2007. "The role of credit aggregates and asset prices in the transmission mechanism: a comparison between the euro area and the US," Working Paper Series 816, European Central Bank.

  13. Sylvia Kaufmann & Johann Scharler, 2009. "Bank-Lending Standards, the Cost Channel and Inflation Dynamics," Economics working papers 2009-16, Department of Economics, Johannes Kepler University Linz, Austria.

    Cited by:

    1. Muhammad Naveed Tahir, 2011. "Inflation Targeting, Exchange Rate and Financial Globalization," Working Papers 1130, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Lskavyan, Vahe, 2020. "Banking crisis and bank supervisory accountability," Journal of Economics and Business, Elsevier, vol. 107(C).
    3. Ernestas Virbickas, 2012. "New Keynesian Phillips Curve in Lithuania," Bank of Lithuania Working Paper Series 14, Bank of Lithuania.
    4. Domić Alan, 2012. "An application of New Keynesian models to inflation in Croatia," Business Systems Research, Sciendo, vol. 3(2), pages 6-13, September.
    5. Muhammad Naveed Tahir, 2011. "Inflation Targeting, Exchange Rate and Financial Globalization," Working Papers halshs-00646601, HAL.
    6. Maral Shamloo, 2011. "Inflation Dynamics in FYR Macedonia," IMF Working Papers 2011/287, International Monetary Fund.
    7. Martina Basarac & Blanka Škrabiæ & Petar Soriæ, 2011. "The Hybrid Phillips Curve: Empirical Evidence from Transition Economies," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(4), pages 367-383, August.
    8. Christopher Tsoukis & George Kapetanios & Joseph Pearlman, 2011. "Elusive Persistence: Wage And Price Rigidities, The New Keynesian Phillips Curve And Inflation Dynamics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 737-768, September.

  14. Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank).

    Cited by:

    1. Dolores Gadea-Rivas, M. & Gómez-Loscos, Ana & Bandrés, Eduardo, 2018. "Clustering regional business cycles," Economics Letters, Elsevier, vol. 162(C), pages 171-176.
    2. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    3. Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," NCER Working Paper Series 75, National Centre for Econometric Research.
    4. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    5. Antonio Pacifico, 2019. "Structural Panel Bayesian VAR Model to Deal with Model Misspecification and Unobserved Heterogeneity Problems," Econometrics, MDPI, vol. 7(1), pages 1-24, March.
    6. Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
    7. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
    8. Gomez-Loscos, Ana & Gadea, M. Dolores & Bandres, Eduardo, 2018. "Business cycle patterns in European regions," MPRA Paper 83964, University Library of Munich, Germany.
    9. Rubén Hernández-Murillo & Michael T Owyang & Margarita Rubio, 2013. "Clustered Housing Cycles," Discussion Papers 2013/02, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    10. Neville Francis & Michael T. Owyang & Ozge Savascin, 2017. "An endogenously clustered factor approach to international business cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1261-1276, November.
    11. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
    12. Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.
    13. James D. Hamilton & Michael T. Owyang, 2009. "The propagation of regional recessions," Working Papers 2009-013, Federal Reserve Bank of St. Louis.
    14. Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
    15. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    16. Roberto Casarin & Komla Mawulom Agudze & Monica Billio & Eric Girardin, 2014. "Growth-cycle phases in China�s provinces: A panel Markov-switching approach," Working Papers 2014:19, Department of Economics, University of Venice "Ca' Foscari".
    17. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
    18. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers 2016:20, Department of Economics, University of Venice "Ca' Foscari".
    19. Guisinger, Amy Y. & Owyang, Michael T. & Soques, Daniel, 2024. "Industrial Connectedness and Business Cycle Comovements," Econometrics and Statistics, Elsevier, vol. 29(C), pages 132-149.
    20. Marcellino, Massimiliano & Foroni, Claudia & Casarin, Roberto & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.

  15. Johann Scharler & Sylvia Kaufmann, 2007. "Financial Systems and the Cost Channel Transmission of Monetary Policy Shocks," Money Macro and Finance (MMF) Research Group Conference 2006 67, Money Macro and Finance Research Group.

    Cited by:

    1. Danilo Liberati, 2018. "An estimated DSGE model with search and matching frictions in the credit market," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 11(6), pages 567-617.
    2. Pierre-Richard Agénor & Karim El Aynaoui, 2008. "Excess Liquidity, Bank Pricing Rules, and Monetary Policy," Centre for Growth and Business Cycle Research Discussion Paper Series 105, Economics, The University of Manchester.
    3. Ida, Daisuke, 2014. "Role of financial systems in a sticky price model," Journal of Economics and Business, Elsevier, vol. 72(C), pages 44-57.
    4. Dorothea Schäfer & Andreas Stephan & Khanh Trung Hoang, 2017. "The Cost Channel Effect of Monetary Transmission: How Effective Is the ECB’s Low Interest Rate Policy for Increasing Inflation?," Discussion Papers of DIW Berlin 1654, DIW Berlin, German Institute for Economic Research.
    5. Claudia Kwapil & Johann Scharler, 2006. "Limited Pass-Through from Policy to Retail Interest Rates: Empirical Evidence and Macroeconomic Implications," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 26-36.
    6. Giuseppe Ciccarone & Francesco Giuli & Danilo Liberati, 2012. "The effects of monetary policy shocks in credit and labor markets with search and matching frictions," Working Papers in Public Economics 151, Department of Economics and Law, Sapienza University of Roma.
    7. Sylvia Kaufmann & Johann Scharler, 2009. "Bank-Lending Standards, the Cost Channel and Inflation Dynamics," Economics working papers 2009-16, Department of Economics, Johannes Kepler University Linz, Austria.
    8. Tayler, William & Zilberman, Roy, 2014. "Macroprudential Regulation and the Role of Monetary Policy," EconStor Preprints 95230, ZBW - Leibniz Information Centre for Economics.
    9. Meixing Dai & Qiao Zhang, 2017. "Central bank transparency under the cost channel," International Finance, Wiley Blackwell, vol. 20(2), pages 189-209, June.
    10. Ciccarone, Giuseppe & Giuli, Francesco & Liberati, Danilo, 2014. "Incomplete interest rate pass-through under credit and labor market frictions," Economic Modelling, Elsevier, vol. 36(C), pages 645-657.
    11. Pierre-Richard Agenor & Koray Alper, 2009. "Monetary Shocks and Central Bank Liquidity with Credit Market Imperfections," Working Papers 0906, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    12. Salmanov, Oleg & Zaernyuk, Viktor, 2015. "Роль Банковского Канала В Передаче Денежно-Кредитной Политики В России [The role of the banking channel in the transmission of monetary policy in Russia]," MPRA Paper 112388, University Library of Munich, Germany, revised 01 Nov 2015.
    13. Malikane, Christopher, 2012. "Inflation dynamics and the cost channel in emerging markets," MPRA Paper 42688, University Library of Munich, Germany.
    14. Giuli, Francesco & Tancioni, Massimiliano, 2012. "Real rigidities, productivity improvements and investment dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 100-118.
    15. Francesco Giuli & Massimiliano Tancioni, 2009. "Firm-Specific Capital, Productivity Shocks and Investment Dynamics," Working Papers in Public Economics 120, Department of Economics and Law, Sapienza University of Roma.
    16. Kapinos, Pavel, 2011. "Forward-looking monetary policy and anticipated shocks to inflation," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 620-633.
    17. Meixing Dai & Qiao Zhang, 2013. "Central bank transparency with the cost channel," Working Papers of BETA 2013-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    18. Hülsewig, Oliver & Mayer, Eric & Wollmershäuser, Timo, 2009. "Bank behavior, incomplete interest rate pass-through, and the cost channel of monetary policy transmission," Economic Modelling, Elsevier, vol. 26(6), pages 1310-1327, November.
    19. Nikhil Patel, 2016. "International Trade Finance and the Cost Channel of Monetary Policy in Open Economies," BIS Working Papers 539, Bank for International Settlements.

  16. Kaufmann, Sylvia & Valderrama, Maria Teresa, 2007. "The role of credit aggregates and asset prices in the transmission mechanism: a comparison between the euro area and the US," Working Paper Series 816, European Central Bank.

    Cited by:

    1. Tomas Konecny & Oxana Babecka Kucharcukova, 2013. "Evaluating the Links Between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Working Papers 2013/10, Czech National Bank.
    2. Marcin Kolasa & Michal Brzoza-Brzezina & Krzysztof Makarski, 2015. "A penalty function approach to occasionally binding credit constraints," EcoMod2015 8359, EcoMod.
    3. Giovanni Dell'Ariccia & Karl Habermeier & Vikram Haksar & Tommaso Mancini-Griffoli, 2017. "Monetary Policy and Financial Stability," RBA Annual Conference Volume (Discontinued), in: Jonathan Hambur & John Simon (ed.),Monetary Policy and Financial Stability in a World of Low Interest Rates, Reserve Bank of Australia.
    4. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    5. Hubrich, Kirstin & Tetlow, Robert J., 2015. "Financial stress and economic dynamics: The transmission of crises," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 100-115.
    6. Simone Auer, 2014. "Monetary policy shocks and foreign investment income: evidence from a large Bayesian VAR," Globalization Institute Working Papers 170, Federal Reserve Bank of Dallas.
    7. Marcellino, Massimiliano & Eickmeier, Sandra & Prieto, Esteban, 2013. "Time Variation in Macro-Financial Linkages," CEPR Discussion Papers 9436, C.E.P.R. Discussion Papers.
    8. Christian Heebøll-Christensen, 2011. "Financial Instability - a Result of Excess Liquidity or Credit Cycles?," Discussion Papers 11-21, University of Copenhagen. Department of Economics.
    9. Andrea Silvestrini & Andrea Zaghini, 2015. "Financial shocks and the real economy in a nonlinear world: a survey of the theoretical and empirical literature," Questioni di Economia e Finanza (Occasional Papers) 255, Bank of Italy, Economic Research and International Relations Area.
    10. Serwa, Dobromił, 2007. "Banking crises and nonlinear linkages between credit and output," MPRA Paper 5946, University Library of Munich, Germany.
    11. Eddie Gerba & Danilo Leiva-Leon, 2020. "Macro-financial interactions in a changing world," Working Papers 2018, Banco de España.
    12. Romuald Morhs, 2010. "Monetary Policy Transmission and Macroeconomic Dynamics in Luxembourg: Results from a VAR Analysis," BCL working papers 49, Central Bank of Luxembourg.
    13. Gerba, Eddie & Leiva-León, Danilo & Rubio, Margarita, 2024. "Inspecting cross-border macro-financial mechanisms," Journal of International Money and Finance, Elsevier, vol. 145(C).

  17. Kaufmann, Sylvia & Kugler, Peter, 2005. "Does Money Matter for Inflation in the Euro Area?," Working papers 2005/09, Faculty of Business and Economics - University of Basel.

    Cited by:

    1. Sylvia Kaufmann & Peter Kugler, 2006. "Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area," Working Papers 131, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Woodford, Michael, 2007. "Does a 'Two-Pillar Phillips Curve' Justify a Two-Pillar Monetary Policy Strategy?," CEPR Discussion Papers 6447, C.E.P.R. Discussion Papers.
    3. De Santis, Roberto A. & Favero, Carlo A. & Roffia, Barbara, 2008. "Euro area money demand and international portfolio allocation: a contribution to assessing risks to price stability," Working Paper Series 926, European Central Bank.
    4. Michael Woodford, 2007. "How Important is Money in the Conduct of Monetary Policy?," Levine's Working Paper Archive 122247000000001419, David K. Levine.
    5. Javier Gómez Biscarri & Javier Hualde, 2014. "A residual-based ADF test for stationary cointegration in I (2) settings," Economics Working Papers 1439, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Jonathan Benchimol & André Fourçans, 2010. "Money and risk aversion in a DSGE framework : a bayesian application to the euro zone," Post-Print hal-00572374, HAL.
    7. Hofmann, Boris, 2008. "Do monetary indicators lead euro area inflation?," Working Paper Series 867, European Central Bank.
    8. Michael T. Belongia & Peter N. Ireland, 2022. "Strengthening the second pillar: a greater role for money in the ECB’s strategy," Applied Economics, Taylor & Francis Journals, vol. 54(1), pages 99-114, January.
    9. Gebhard Kirchgässner & Jürgen Wolters, 2010. "The Role of Monetary Aggregates in the Policy Analysis of the Swiss National Bank," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 221-253, March.
    10. Hall, Stephen G. & Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2009. "Assessing the causal relationship between euro-area money and prices in a time-varying environment," Economic Modelling, Elsevier, vol. 26(4), pages 760-766, July.
    11. Berger, Helge & Stavrev, Emil, 2008. "The information content of money in forecasting Euro area inflation," Discussion Papers 2008/15, Free University Berlin, School of Business & Economics.
    12. Sylvia Kaufmann, 2007. "Capturing the Link between M3 Growth and Inflation in the Euro Area – An Econometric Model to Produce Conditional Inflation Forecasts," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 93-108.
    13. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    14. Jonas Stulz, 2007. "Exchange rate pass-through in Switzerland: Evidence from vector autoregressions," Economic Studies 2007-04, Swiss National Bank.
    15. El-Shagi, Makram & Giesen, Sebastian & Kelly, Logan J., 2012. "Monetary Policy in a World Where Money (Also) Matters," IWH Discussion Papers 6/2012, Halle Institute for Economic Research (IWH).
    16. Sylvia Kaufmann & Peter Kugler, 2010. "A monetary real-time conditional forecast of euro area inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 388-405.
    17. Gianni Amisano & Roberta Colavecchio, 2013. "Money Growth and Inflation: evidence from a Markov Switching Bayesian VAR," Macroeconomics and Finance Series 201304, University of Hamburg, Department of Socioeconomics.
    18. Kaufmann, Sylvia & Valderrama, Maria Teresa, 2007. "The role of credit aggregates and asset prices in the transmission mechanism: a comparison between the euro area and the US," Working Paper Series 816, European Central Bank.
    19. Kulaksizoglu, Tamer & Kulaksizoglu, Sebnem, 2009. "The U.S. Excess Money Growth and Inflation Relation in the Long-Run: A Nonlinear Analysis," MPRA Paper 23780, University Library of Munich, Germany.
    20. O. Evans, 2019. "Money, Inflation and Output in Nigeria and South Africa: Could Friedman and Schwartz Be Right?," Journal of African Business, Taylor & Francis Journals, vol. 20(3), pages 392-406, July.
    21. Dreger, Christian & Wolters, Jürgen, 2014. "Money demand and the role of monetary indicators in forecasting euro area inflation," International Journal of Forecasting, Elsevier, vol. 30(2), pages 303-312.
    22. El-Shagi, Makram & Giesen, Sebastian, 2010. "Money and Inflation: The Role of Persistent Velocity Movements," IWH Discussion Papers 2/2010, Halle Institute for Economic Research (IWH).
    23. Egorov D.A. (Егоров, Д.А.) & Perevyshina E.A. (Перевышина, Е.А.), 2016. "Modelling of Inflationary Processes in Russia [Моделирование Инфляционных Процессов В России]," Working Papers 2138, Russian Presidential Academy of National Economy and Public Administration.
    24. Mr. Emil Stavrev & Mr. Helge Berger, 2008. "The Information Content of Money in Forecasting Euro Area Inflation," IMF Working Papers 2008/166, International Monetary Fund.
    25. el-Shagi, Makram & Giesen, Sebastian & Kelly, Logan J., 2011. "The Quantity Theory Revisited: A New Structural Approach," IWH Discussion Papers 7/2011, Halle Institute for Economic Research (IWH).
    26. Claude Hillinger & Bernd Süssmuth & Marco Sunder, 2015. "The Quantity Theory of Money: Valid Only for High and Medium Inflation?," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 61(4), pages 315-329.
    27. El-Shagi, Makram & Giesen, Sebastian, 2013. "Money and inflation: Consequences of the recent monetary policy," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 520-537.

  18. Kaufmann, Sylvia & Kugler, Peter, 2005. "Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area," Working papers 2005/07, Faculty of Business and Economics - University of Basel.

    Cited by:

    1. Sylvia Kaufmann, 2007. "Capturing the Link between M3 Growth and Inflation in the Euro Area – An Econometric Model to Produce Conditional Inflation Forecasts," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 93-108.

  19. Kaufmann, Sylvia & Frühwirth-Schnatter, Sylvia, 2004. "Model-based Clustering of Multiple Time Series," CEPR Discussion Papers 4650, C.E.P.R. Discussion Papers.

    Cited by:

    1. Yoosoon Chang & Steven N. Durlauf & Bo Hu & Joon Y. Park, 2024. "Accounting for Individual-Specific Heterogeneity in Intergenerational Income Mobility," Working Papers No 03/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Dolores Gadea-Rivas, M. & Gómez-Loscos, Ana & Bandrés, Eduardo, 2018. "Clustering regional business cycles," Economics Letters, Elsevier, vol. 162(C), pages 171-176.
    3. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    4. Frühwirth-Schnatter, Sylvia & Pamminger, Christoph & Weber, Andrea & Winter-Ebmer, Rudolf, 2014. "When Is the Best Time to Give Birth?," IZA Discussion Papers 8396, Institute of Labor Economics (IZA).
    5. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
    6. Aßmann, Christian & Boysen-Hogrefe, Jens, 2011. "A Bayesian approach to model-based clustering for binary panel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 261-279, January.
    7. Jeffrey P. Cohen & Cletus C. Coughlin & Daniel Soques, 2019. "House Price Growth Interdependencies and Comovement," Working Papers 2019-028, Federal Reserve Bank of St. Louis, revised 11 Jan 2021.
    8. Tyler Roick & Dimitris Karlis & Paul D. McNicholas, 2021. "Clustering discrete-valued time series," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(1), pages 209-229, March.
    9. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," Working Paper series 18-12, Rimini Centre for Economic Analysis.
    10. Robert Darkins & Emma J Cooke & Zoubin Ghahramani & Paul D W Kirk & David L Wild & Richard S Savage, 2013. "Accelerating Bayesian Hierarchical Clustering of Time Series Data with a Randomised Algorithm," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-9, April.
    11. Crowley, Patrick M., 2008. "One money, several cycles? Evaluation of European business cycles using model-based cluster analysis," Bank of Finland Research Discussion Papers 3/2008, Bank of Finland.
    12. Juan C. Duque & Xinyue Ye & David C. Folch, 2015. "spMorph: An exploratory space-time analysis tool for describing processes of spatial redistribution," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 629-651, August.
    13. Gomez-Loscos, Ana & Gadea, M. Dolores & Bandres, Eduardo, 2018. "Business cycle patterns in European regions," MPRA Paper 83964, University Library of Munich, Germany.
    14. Sylvia Frühwirth‐Schnatter & Christoph Pamminger & Andrea Weber & Rudolf Winter‐Ebmer, 2012. "Labor market entry and earnings dynamics: Bayesian inference using mixtures‐of‐experts Markov chain clustering," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1116-1137, November.
    15. Sylvia Frühwirth‐Schnatter & Sylvia Kaufmann, 2006. "How do changes in monetary policy affect bank lending? An analysis of Austrian bank data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 275-305, April.
    16. Harvill, Jane L. & Ravishanker, Nalini & Ray, Bonnie K., 2013. "Bispectral-based methods for clustering time series," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 113-131.
    17. Rubén Hernández-Murillo & Michael T Owyang & Margarita Rubio, 2013. "Clustered Housing Cycles," Discussion Papers 2013/02, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    18. Joao, Igor Custodio & Lucas, André & Schaumburg, Julia & Schwaab, Bernd, 2021. "Dynamic clustering of multivariate panel data," Working Paper Series 2577, European Central Bank.
    19. Neville Francis & Michael T. Owyang & Ozge Savascin, 2017. "An endogenously clustered factor approach to international business cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1261-1276, November.
    20. Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2020. "The impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Papers 2012.14693, arXiv.org.
    21. Sylvia Frühwirth-Schnatter & Stefan Pittner & Andrea Weber & Rudolf Winter-Ebmer, 2016. "Analysing Plant Closure Effects Using Time-Varying Mixture-of-Experts Markov Chain Clustering," CDL Aging, Health, Labor working papers 2016-06, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    22. Lu, Emiao & Handl, Julia & Xu, Dong-ling, 2018. "Determining analogies based on the integration of multiple information sources," International Journal of Forecasting, Elsevier, vol. 34(3), pages 507-528.
    23. Michelle Gilmartin & Dimitris Korobilis, 2012. "On Regional Unemployment: An Empirical Examination of the Determinants of Geographical Differentials in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(2), pages 179-195, May.
    24. Mohammed Bouaddi & Jeroen V.K. Rombouts, 2007. "Mixed Exponential Power Asymmetric Conditional Heteroskedasticity," Cahiers de recherche 07-15, HEC Montréal, Institut d'économie appliquée.
    25. Carmelo J. León & Jorge E. Araña, 2012. "The Dynamics of Preference Elicitation after an Environmental Disaster: Stability and Emotional Load," Land Economics, University of Wisconsin Press, vol. 88(2), pages 362-381.
    26. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Model-based Clustering of non-Gaussian Panel Data," MPRA Paper 880, University Library of Munich, Germany.
    27. Beibei Zhang & Rong Chen, 2018. "Nonlinear Time Series Clustering Based on Kolmogorov-Smirnov 2D Statistic," Journal of Classification, Springer;The Classification Society, vol. 35(3), pages 394-421, October.
    28. Aßmann, Christian & Boysen-Hogrefe, Jens, 2009. "A bayesian approach to model-based clustering for panel probit models," Economics Working Papers 2009-03, Christian-Albrechts-University of Kiel, Department of Economics.
    29. Alonso, A.M. & Berrendero, J.R. & Hernandez, A. & Justel, A., 2006. "Time series clustering based on forecast densities," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 762-776, November.
    30. León, Carmelo J. & Araña, Jorge E. & Hanemann, W. Michael & Riera, Pere, 2014. "Heterogeneity and emotions in the valuation of non-use damages caused by oil spills," Ecological Economics, Elsevier, vol. 97(C), pages 129-139.
    31. Maruotti, Antonello & Punzo, Antonio, 2017. "Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 475-496.
    32. Amavilah, Voxi Heinrich & Otero, Abraham & Andres, Antonio Rodriguez, 2021. "Knowledge Economy Classification in African Countries: A Model-Based Clustering Approach," MPRA Paper 109188, University Library of Munich, Germany.
    33. Basturk, N. & Paap, R. & van Dijk, D.J.C., 2010. "Financial Development and Convergence Clubs," Econometric Institute Research Papers EI 2010-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    34. Ryo Okui & Wendun Wang, 2018. "Heterogeneous structural breaks in panel data models," Papers 1801.04672, arXiv.org, revised Nov 2018.
    35. James D. Hamilton & Michael T. Owyang, 2009. "The propagation of regional recessions," Working Papers 2009-013, Federal Reserve Bank of St. Louis.
    36. Michael Bergrab & Christian Aßmann, 2024. "Automated Bayesian variable selection methods for binary regression models with missing covariate data," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 18(2), pages 203-244, June.
    37. Jane L. Harvill & Priya Kohli & Nalini Ravishanker, 2017. "Clustering Nonlinear, Nonstationary Time Series Using BSLEX," Methodology and Computing in Applied Probability, Springer, vol. 19(3), pages 935-955, September.
    38. Christian Aßmann & Jens Boysen-Hogrefe, 2010. "Analysis of current account reversals via regime switching models," Economic Change and Restructuring, Springer, vol. 43(1), pages 21-43, February.
    39. Coroneo, Laura & Jackson, Laura E. & Owyang, Michael T., 2020. "International Stock Comovements with Endogenous Clusters," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    40. Florian Huber & Tam'as Krisztin & Michael Pfarrhofer, 2018. "A Bayesian panel VAR model to analyze the impact of climate change on high-income economies," Papers 1804.01554, arXiv.org, revised Feb 2021.
    41. Knut Are Aastveit & Jamie Cross & Francesco Furlanetto & Herman K. Van Dijk, 2024. "Taylor Rules with Endogenous Regimes," Tinbergen Institute Discussion Papers 24-030/III, Tinbergen Institute.
    42. Deb, Soudeep & Karmakar, Sayar, 2023. "A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States," Computational Statistics & Data Analysis, Elsevier, vol. 188(C).
    43. Edoardo Otranto & Massimo Mucciardi, 2019. "Clustering space-time series: FSTAR as a flexible STAR approach," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 175-199, March.
    44. Franses, Ph.H.B.F. & Wiemann, T., 2018. "Intertemporal Similarity of Economic Time Series," Econometric Institute Research Papers EI2018-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    45. Luca De Angelis & Leonard J. Paas, 2013. "A dynamic analysis of stock markets using a hidden Markov model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1682-1700, August.
    46. Juan Romero-Padilla, 2018. "A method for clustering panel data based on parameter homogeneity," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 7(3), pages 1-3.
    47. Roberto Casarin & Komla Mawulom Agudze & Monica Billio & Eric Girardin, 2014. "Growth-cycle phases in China�s provinces: A panel Markov-switching approach," Working Papers 2014:19, Department of Economics, University of Venice "Ca' Foscari".
    48. Franses, Ph.H.B.F., 2019. "Do African economies grow similarly?," Econometric Institute Research Papers EI2019-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    49. E. Otranto & M. Mucciardi, 2017. "Clustering Space-Time Series: A Flexible STAR Approach," Working Paper CRENoS 201707, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    50. Gregor Zens, 2019. "Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 1019-1051, December.
    51. Winter-Ebmer, Rudolf & Weber, Andrea & Frühwirth-Schnatter, Sylvia & Pamminger, Christoph, 2014. "When Is The Best Time To Give Birth - Career Effects Of Early Birth Decisions," CEPR Discussion Papers 10132, C.E.P.R. Discussion Papers.
    52. Sylvia Frühwirth-Schnatter, 2011. "Panel data analysis: a survey on model-based clustering of time series," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(4), pages 251-280, December.
    53. Gregor Zens, 2018. "Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership," Papers 1809.04853, arXiv.org, revised Jan 2019.
    54. Jacques, Julien & Preda, Cristian, 2014. "Model-based clustering for multivariate functional data," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 92-106.
    55. De Angelis, Luca & Dias, José G., 2014. "Mining categorical sequences from data using a hybrid clustering method," European Journal of Operational Research, Elsevier, vol. 234(3), pages 720-730.
    56. Philip Hans Franses & Thomas Wiemann, 2020. "Intertemporal Similarity of Economic Time Series: An Application of Dynamic Time Warping," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 59-75, June.
    57. Knut Are Aastveit & Jamie Cross & Francesco Furlanetto & Herman K van Dijk, 2024. "Asymmetric Gradualism in US Monetary Policy," Tinbergen Institute Discussion Papers 24-074/III, Tinbergen Institute.
    58. Mahmoudi, Mohammad Reza, 2021. "A computational technique to classify several fractional Brownian motion processes," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    59. De Angelis, L & Paas, L.J., 2009. "The dynamic analysis and prediction of stock markets through the latent Markov model," Serie Research Memoranda 0053, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    60. Rosetta Lombardo & Marianna Falcone, 2011. "Crime And Economic Performance. A Cluster Analysis Of Panel Data On Italy'S Nuts 3 Regions," Working Papers 201112, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    61. Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank).
    62. Sergei S. Shibaev, 2016. "Recession Propagation In Small Regional Economies: Spatial Spillovers And Endogenous Clustering," Working Paper 1369, Economics Department, Queen's University.
    63. Charles Bouveyron & Julien Jacques, 2011. "Model-based clustering of time series in group-specific functional subspaces," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(4), pages 281-300, December.
    64. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.

  20. Sylvia Fruehwirth-Schnatter & Sylvia Kaufmann, 2003. "Investigating asymmetries in the bank lending channel. An analysis using Austrian banks’ balance sheet data," Working Papers 85, Oesterreichische Nationalbank (Austrian Central Bank).

    Cited by:

    1. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, 2010. "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    2. Werner Hölzl & Sögner Leopold, 2004. "Entry and Exit Dynamics in Austrian Manufacturing," Working Papers geewp36, Vienna University of Economics and Business Research Group: Growth and Employment in Europe: Sustainability and Competitiveness.

  21. Sylvia Kaufmann, 2003. "The business cycle of European countries Bayesian clustering of country - individual IP growth series," Working Papers 83, Oesterreichische Nationalbank (Austrian Central Bank).

    Cited by:

    1. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    2. Zsolt Darvas & György Szapáry, 2008. "Business Cycle Synchronization in the Enlarged EU," Open Economies Review, Springer, vol. 19(1), pages 1-19, February.
    3. Zsolt Darvas & György Szapáry, 2004. "Business Cycle Synchronisation in the Enlarged EU: Comovements in the New and Old Members," MNB Working Papers 2004/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    4. Darvas, Zsolt & Szapáry, György, 2004. "Konjunktúraciklusok együttmozgása a régi és új EU-tagországokban [Business cycle harmonization in new and old EU member-states]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 415-448.
    5. Monica Billio & Massimiliano Caporin & Guido Cazzavillan, 2007. "Dating EU15 Monthly Business Cycle Jointly Using GDP and IPI," Working Papers 2007_19, Department of Economics, University of Venice "Ca' Foscari".
    6. Jacques Anas & Monica Billio & Laurent Ferrara & Gian Luigi Mazzi, 2008. "A System For Dating And Detecting Turning Points In The Euro Area," Manchester School, University of Manchester, vol. 76(5), pages 549-577, September.
    7. Sonia de Lucas Santos & M. Jesús Delgado Rodríguez & Inmaculada Álvarez Ayuso & José Luis Cendejas Bueno, 2011. "Los ciclos económicos internacionales: antecedentes y revisión de la literatura," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 34(95), pages 73-84, Agosto.

  22. Kaufmann, Sylvia, 2001. "Asymmetries in bank lending behaviour. Austria during the 1990s," Working Paper Series 97, European Central Bank.

    Cited by:

    1. Jean-Bernard Chatelain & Andrea Generale & Philip Vermeulen & Michael Ehrmann & Jorge Martínez-Pagés & Andreas Worms, 2003. "Monetary policy transmission in the euro area: New evidence from micro data on firms and banks," Post-Print halshs-00119489, HAL.
    2. Sylvia Frühwirth‐Schnatter & Sylvia Kaufmann, 2006. "How do changes in monetary policy affect bank lending? An analysis of Austrian bank data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 275-305, April.
    3. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, 2010. "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    4. Kashyap, Anil K. & Mojon, Benoît & Terlizzese, Daniele & Backé, Peter, 2002. "Monetary Transmission in the Euro Area : Where Do We Stand?," Working Paper Series 114, European Central Bank.
    5. Vanessa Redak & Alexander Tscherteu, 2003. "Basel II, Procyclicality and Credit Growth - First Conclusions from QIS 3," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 5, pages 56-69.

  23. Sylvia Kaufmann, 2001. "Is there an asymmetric effect on monetary policy over time? A bayesian analysis using Austrian data," Working Papers 45, Oesterreichische Nationalbank (Austrian Central Bank).

    Cited by:

    1. Roman Horv??th, 2006. "Financial Accelerator Effects in the Balance Sheets of Czech Firms," William Davidson Institute Working Papers Series wp847, William Davidson Institute at the University of Michigan.
    2. Zare , Roohollah, 2015. "Asymmetric Effects of Monetary Policy and Business Cycles in Iran using Markov-switching Models," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(4), pages 125-142, October.
    3. Vítor Castro, 2008. "Are Central Banks following a linear or nonlinear (augmented) Taylor rule?," NIPE Working Papers 19/2008, NIPE - Universidade do Minho.
    4. Renée Fry-Mckibbin & Jasmine Zheng, 2016. "Effects of the US monetary policy shocks during financial crises – a threshold vector autoregression approach," Applied Economics, Taylor & Francis Journals, vol. 48(59), pages 5802-5823, December.
    5. Rather, Sartaj Rasool & Durai, S. Raja Sethu & Ramachandran, M., 2015. "Asymmetric price adjustment – evidence for India," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 73-79.
    6. Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2016. "Do Fed Forecast Errors Matter?," Working Papers 2016-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Vinícius Dos Santos Cerqueira & Márcio Bruno Ribeiro & Thiago Sevilhano Martinez, 2014. "Propagaçãoassimétrica De Choques Monetários Na Economia Brasileira: Evidênciascom Base Em Um Modelo Vetorial Não-Linear De Transição Suave," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 032, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    8. Babutsidze, Zakaria, 2006. "(S,s) Pricing: Does the Heterogeneity Wipe Out the Asymmetry on Micro Level?," MERIT Working Papers 2006-033, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020. "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers 20.04, Swiss National Bank, Study Center Gerzensee.
    10. Beutler, Toni & Gubler, Matthias & Hauri, Simona & Kaufmann, Sylvia, 2021. "Bank lending in Switzerland: Driven by business models and exposed to uncertainty," International Review of Financial Analysis, Elsevier, vol. 78(C).
    11. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2015. "The Role of Financial Depth on The Asymmetric Impact of Monetary Policy," EcoMod2015 8285, EcoMod.
    12. Chuku Chuku & Paul Middleditch, 2016. "Characterizing monetary and fiscal policy rules and interactions when commodity prices matter," Centre for Growth and Business Cycle Research Discussion Paper Series 222, Economics, The University of Manchester.
    13. Zakaria Babutsidze, 2012. "Asymmetric (S,s) pricing: implications for monetary policy," Post-Print hal-01053560, HAL.
    14. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2017. "Financial Depth and the Asymmetric Impact of Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1195-1218, December.
    15. Fidrmuc, Jarko & Horváth, Roman & Horváthová, Eva, 2008. "Corporate Interest Rates and the Financial Accelerator in the Czech Republic," Discussion Papers in Economics 7191, University of Munich, Department of Economics.
    16. Kaufmann, Sylvia, 2001. "Asymmetries in bank lending behaviour. Austria during the 1990s," Working Paper Series 97, European Central Bank.
    17. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, 2010. "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    18. Alvaro Aguiar & Manuel Martins, 2005. "Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area," Empirical Economics, Springer, vol. 30(3), pages 665-691, October.
    19. Ming-Yuan Leon Li, 2009. "Reexamining asymmetric effects of monetary and government spending policies on economic growth using quantile regression," Journal of Developing Areas, Tennessee State University, College of Business, vol. 43(1), pages 137-154, September.
    20. Mundra, Sruti & Bicchal, Motilal, 2023. "Asymmetric effects of monetary policy and financial accelerator: Evidence from India," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    21. Haykaz Igityan, 2019. "Asymmetric Effects of Monetary Policy in Different Phases of Armenia's Business Cycle," Working Papers 11, Central Bank of Armenia.
    22. Kwangyong Park, 2019. "Uncertainty, Attention Allocation and Monetary Policy Asymmetry," Working Papers 2019-5, Economic Research Institute, Bank of Korea.
    23. Stockwell, Thomas, 2023. "Should models of monetary policy asymmetry include interaction terms?," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    24. Lo, Ming Chien & Piger, Jeremy, 2005. "Is the Response of Output to Monetary Policy Asymmetric? Evidence from a Regime-Switching Coefficients Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(5), pages 865-886, October.
    25. Fredj Jawadi & Sushanta K. Mallick & Ricardo M. Sousa, 2011. "Monetary Policy Rules in the BRICS: How Important is Nonlinearity?," NIPE Working Papers 18/2011, NIPE - Universidade do Minho.
    26. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.
    27. Kuang‐Liang Chang & Chi‐Wei He, 2010. "Does The Magnitude Of The Effect Of Inflation Uncertainty On Output Growth Depend On The Level Of Inflation?," Manchester School, University of Manchester, vol. 78(2), pages 126-148, March.
    28. Sylvia Kaufmann, 2003. "The business cycle of European countries Bayesian clustering of country - individual IP growth series," Working Papers 83, Oesterreichische Nationalbank (Austrian Central Bank).
    29. Osama D. Sweidan, 2008. "Does Policy Interest Rate Have Asymmetric Adjustment: Case Of Jordan," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 151-158.

  24. Sylvia Fruhwirth-Schnattaer & Sylvia Kaufmann, 2000. "Bayesian Analysis of Switching ARCH Models," Econometric Society World Congress 2000 Contributed Papers 1381, Econometric Society.

    Cited by:

    1. Song, Zefang & Song, Xinyuan & Li, Yuan, 2023. "Bayesian Analysis of ARCH-M model with a dynamic latent variable," Econometrics and Statistics, Elsevier, vol. 28(C), pages 47-62.
    2. Sylvia Kaufmann, 2001. "Is there an asymmetric effect on monetary policy over time? A bayesian analysis using Austrian data," Working Papers 45, Oesterreichische Nationalbank (Austrian Central Bank).
    3. Jan Henneke & Svetlozar Rachev & Frank Fabozzi & Metodi Nikolov, 2011. "MCMC-based estimation of Markov Switching ARMA-GARCH models," Applied Economics, Taylor & Francis Journals, vol. 43(3), pages 259-271.
    4. Lanne, Markku & Luoto, Jani, 2008. "Robustness of the risk-return relationship in the U.S. stock market," Finance Research Letters, Elsevier, vol. 5(2), pages 118-127, June.
    5. Monica Billio & Roberto Casarin & Anthony Osuntuyi, 2012. "Efficient Gibbs Sampling for Markov Switching GARCH Models," Working Papers 2012:35, Department of Economics, University of Venice "Ca' Foscari".
    6. Miazhynskaia, Tatiana & Fruhwirth-Schnatter, Sylvia & Dorffner, Georg, 2006. "Bayesian testing for non-linearity in volatility modeling," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2029-2042, December.
    7. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
    8. Mihaela Craioveanu & Eric Hillebrand, 2012. "Level changes in volatility models," Annals of Finance, Springer, vol. 8(2), pages 277-308, May.
    9. Masaru Chiba, 2023. "Robust and efficient specification tests in Markov-switching autoregressive models," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 99-137, April.
    10. Hyun Kook Shin & Byoung Hark Yoo, 2012. "The Volatility Of The Won-Dollar Exchange Rate During The 2008-9 Crisis," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 37(4), pages 61-77, December.
    11. Ardia, David & Hoogerheide, Lennart F., 2010. "Efficient Bayesian estimation and combination of GARCH-type models," MPRA Paper 22919, University Library of Munich, Germany.
    12. Grassi, Stefano & Ravazzolo, Francesco & Vespignani, Joaquin & Vocalelli, Giorgio, 2023. "Global money supply and energy and non-energy commodity prices: A MS-TV-VAR approach," Working Papers 2023-01, University of Tasmania, Tasmanian School of Business and Economics.
    13. Hotta, Luiz Koodi & Trucíos Maza, Carlos César & Pereira, Pedro L. Valls & Zevallos Herencia, Mauricio Henrique, 2024. "Forecasting VaR and ES through Markov-switching GARCH models: does the specication matter?," Textos para discussão 567, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    14. Tatiana Miazhynskaia & Georg Dorffner, 2006. "A comparison of Bayesian model selection based on MCMC with an application to GARCH-type models," Statistical Papers, Springer, vol. 47(4), pages 525-549, October.

  25. Sylvia KAUFMANN & Johann SCHARLER & Georg WINCKLER, 1999. "The Austrian current account deficit: Driven by twin deficits or by intertemporal expenditure allocation?," Vienna Economics Papers vie9903, University of Vienna, Department of Economics.

    Cited by:

    1. Narayan, Seema & Narayan, Paresh Kumar & Tobing, Lutzardo, 2021. "Has tourism influenced Indonesia’s current account?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 225-237.
    2. Mossadak Anas, PhD researcher, 2013. "Twin deficits in Morocco: An empirical investigation," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 3(7), pages 160-172, July.
    3. Ergin Akalpler & Yohanna Panshak, 2019. "Dynamic relationship between budget deficit and current account deficit in the light of Nigerian empirical application," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 159-179, June.
    4. António Afonso & José Carlos Coelho, 2021. "Fiscal and current account imbalances: the cases of Germany and Portugal," Working Papers REM 2021/0208, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    5. Kalou, Sofia & Paleologou, Suzanna-Maria, 2012. "The twin deficits hypothesis: Revisiting an EMU country," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 230-241.
    6. Umaima Arif & Maryam Latif & Asma Arif, 2024. "Assessing the triple deficit hypothesis in G-7 and D-8 countries: an evidence from heterogeneous panel methods," International Journal of Economic Policy Studies, Springer, vol. 18(2), pages 497-527, August.
    7. Demdoumi, Meriem, 2016. "La gestion structurelle des déficits jumeaux au Maroc et la recherche d’une stratégie d’équilibre [Structural management of twin deficits in Morocco and Finding an equilibrium strategy]," MPRA Paper 71533, University Library of Munich, Germany, revised 2016.
    8. Bilman, Mustafa Erhan & Karaoğlan, Sadık, 2020. "Does the twin deficit hypothesis hold in the OECD countries under different real interest rate regimes?," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 205-215.
    9. Xie, Zixiong & Chen, Shyh-Wei, 2014. "Untangling the causal relationship between government budget and current account deficits in OECD countries: Evidence from bootstrap panel Granger causality," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 95-104.
    10. Ahmad Zubaidi Baharumshah & Evan Lau & Ahmed M. Khalid, 2005. "Testing Twin Deficits Hypothesis: Using VARs and Variance Decomposition," International Finance 0504001, University Library of Munich, Germany.
    11. Eduardo Garzón Espinosa & Bibiana Medialdea García & Esteban Cruz Hidalgo, 2021. "Fiscal Policy Approaches: An Inquiring Look From The Modern Monetary Theory," Journal of Economic Issues, Taylor & Francis Journals, vol. 55(4), pages 999-1022, October.
    12. Paolo Bianchi & Bruno Deschamps & Khurshid M. Kiani, 2015. "Fiscal Balance and Current Account in Professional Forecasts," Review of International Economics, Wiley Blackwell, vol. 23(2), pages 361-378, May.
    13. Misztal, Piotr, 2012. "The link between government budget and current account in the Baltic countries," MPRA Paper 40784, University Library of Munich, Germany.
    14. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    15. Ibrar Hussain & Umar Hayat & Md Shabbir Alam & Uzma Khan, 2024. "A Dynamic Analysis of the Twin-Deficit Hypothesis: the Case of a Developing Country," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 25-52, March.
    16. Puah, Chin-Hong & Lau, Evan & Tan, Kim Lee, 2006. "Budget-current account deficits nexus in Malaysia," MPRA Paper 37677, University Library of Munich, Germany.
    17. António Afonso & José Carlos Coelho, 2021. "Current Account Targeting Hypothesis versus Twin Deficit Hypothesis: The EMU Experience of Portugal," EconPol Working Paper 68, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    18. Evan Lau & Tuck Cheong Tang, 2009. "Twin deficits in Cambodia: An Empirical Study," Economics Bulletin, AccessEcon, vol. 29(4), pages 2783-2794.
    19. Asrafuzzaman & Amit Roy & Sanat Das Gupta, 2013. "An Empirical Investigation of Budget and Trade Deficits: The Case of Bangladesh," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 570-579.
    20. Narayan, Seema, 2013. "A structural VAR model of the Fiji Islands," Economic Modelling, Elsevier, vol. 31(C), pages 238-244.
    21. Chowdhury, Khorshed & Saleh, Ali Salman, 2007. "Testing the Keynesian Proposition of Twin Deficits in the Presence of Trade Liberalisation: Evidence from Sri Lanka after War: the case of a bridge too far?," Economics Working Papers wp07-09, School of Economics, University of Wollongong, NSW, Australia.
    22. Ahmad Zubaidi Baharumshah & Evan Lau, 2005. "Budget and Current Account Deficits in SEACEN Countries: Evidence Based on the Panel Approach," International Finance 0504002, University Library of Munich, Germany.
    23. Suresh K.G. & Aviral Kumar Tiwari, 2014. "A Structural VAR (SVAR) analysis of fiscal shocks on current accounts in India," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 7(1), pages 140-153, March.
    24. Vishal Sharma & Masudul Hasan Adil & Sana Fatima & Ashok Mittal, 2024. "Asymmetric Effect of Fiscal Deficit on Current Account Deficit: Evidence from India," Vision, , vol. 28(4), pages 480-493, August.
    25. Umer Jeelanie Banday & Ranjan Aneja, 2019. "Twin deficit hypothesis and reverse causality: a case study of China," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-10, December.
    26. António Afonso & José Carlos Coelho, 2021. "60%, -4% and 6%, a tale of thresholds for EU fiscal and current account developments," Working Papers REM 2021/0196, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    27. E Lau & S Abu Mansor & C-H Puah, 2010. "Revival of the Twin Deficits in Asian Crisis-affected Countries," Economic Issues Journal Articles, Economic Issues, vol. 15(1), pages 29-54, March.
    28. Eregha, Perekunah B. & Aworinde, Olalekan B. & Vo, Xuan Vinh, 2022. "Modeling twin deficit hypothesis with oil price volatility in African oil-producing countries," Resources Policy, Elsevier, vol. 75(C).
    29. Ashima Goyal & Abhishek Kumar, 2017. "The Effect of oil shocks and cyclicality in hiding Indian twin deficits," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2017-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    30. Bernardin Senadza & Godson Korbla Aloryito, 2016. "The twin deficits hypothesis: Evidence from Ghana," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 9(3), pages 55-62, December.
    31. Samia OMRANE BELGUITH, 2016. "Twin deficit in MENA countries: an empirical investigation," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 19(60), pages 123-146, June.
    32. Evan Lau & Tuck Cheong Tang, 2009. "Twin deficits in Cambodia: Are there Reasons for Concern? An Empirical Study," Monash Economics Working Papers 11-09, Monash University, Department of Economics.
    33. Lau, E. & Baharumshah, A. Z., 2006. "Twin Deficits Hypothesis in SEACEN Countries: A Panel Data Analysis of Relationships between Public Budget and Current Account Deficits," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(2).
    34. Seema Narayan & Sivagowry Sriananthakumar, 2020. "Are the Current Account Imbalances on a Sustainable Path?," JRFM, MDPI, vol. 13(9), pages 1-24, September.
    35. EL-Moussawi, Chawki & Awdeh, Ali, 2013. "Detecting the Causality between Budget Deficit and Trade Deficit in Lebanon," MPRA Paper 119123, University Library of Munich, Germany.
    36. Seema Wati Narayan, 2020. "Asian Current Account Balances And Spillovers From A Foreign Country, A Region And The United States," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(1), pages 1-24, April.
    37. Szilágyi, Katalin, 2006. "Újraosztó fiskális politika nyitott gazdaságban [Redistributive fiscal policy in an open economy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 330-348.

  26. Sylvia KAUFMANN, 1997. "Measuring Business Cycles with a Dynamic Markov Switching Factor Model," Vienna Economics Papers vie9710, University of Vienna, Department of Economics.

    Cited by:

    1. Alejandro Justiniano, 2004. "Sources and Propagation Mechanims of Foreign Disturbances in Small Open Economies: A Dynamic Factor Analysis," Econometric Society 2004 Latin American Meetings 148, Econometric Society.

Articles

  1. Monica Billio & Roberto Casarin & Matteo Iacopini & Sylvia Kaufmann, 2023. "Bayesian Dynamic Tensor Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 429-439, April.
    See citations under working paper version above.
  2. Sylvia Kaufmann, 2023. "Covid-19 outbreak and beyond: a retrospect on the information content of short-time workers for GDP now- and forecasting," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-10, December.

    Cited by:

    1. Giorgiana Roxana Ene, 2023. "A Snapshot of Where We Are. A Gross Domestic Product Analysis Related to Household Energy Price Index in the European Union," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 360-367, August.

  3. Fischer, Andreas M. & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," Journal of International Money and Finance, Elsevier, vol. 113(C).
    See citations under working paper version above.
  4. Beutler, Toni & Gubler, Matthias & Hauri, Simona & Kaufmann, Sylvia, 2021. "Bank lending in Switzerland: Driven by business models and exposed to uncertainty," International Review of Financial Analysis, Elsevier, vol. 78(C).

    Cited by:

    1. Palmieri, Egidio & Ferilli, Greta Benedetta & Altunbas, Yener & Stefanelli, Valeria & Geretto, Enrico Fioravante, 2024. "Business model and ESG pillars: The impacts on banking default risk," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Edmund Mallinguh & Zeman Zoltan, 2022. "Financial Institution Type and Firm-Related Attributes as Determinants of Loan Amounts," JRFM, MDPI, vol. 15(3), pages 1-12, March.

  5. Simon Beyeler & Sylvia Kaufmann, 2021. "Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 989-1012, November.

    Cited by:

    1. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," PSE Working Papers halshs-03626503, HAL.

  6. Sylvia Kaufmann, 2020. "COVID-19 outbreak and beyond: the information content of registered short-time workers for GDP now- and forecasting," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-12, December.
    See citations under working paper version above.
  7. Bäurle Gregor & Kaufmann Daniel & Kaufmann Sylvia & Strachan Rodney, 2020. "Constrained interest rates and changing dynamics at the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-26, April.

    Cited by:

    1. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.

  8. Gaggl, Paul & Kaufmann, Sylvia, 2020. "The cyclical component of labor market polarization and jobless recoveries in the US," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 334-347.
    See citations under working paper version above.
  9. Kaufmann, Sylvia & Schumacher, Christian, 2019. "Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification," Journal of Econometrics, Elsevier, vol. 210(1), pages 116-134.

    Cited by:

    1. Sylvia Fruhwirth-Schnatter, 2023. "Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis," Papers 2303.00473, arXiv.org.
    2. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    3. Sylvia Kaufmann & Markus Pape, 2024. "A geometric approach to factor model identification," Working Papers 24.06, Swiss National Bank, Study Center Gerzensee.
    4. Florian Huber & Gary Koop, 2021. "Subspace Shrinkage in Conjugate Bayesian Vector Autoregressions," Papers 2107.07804, arXiv.org.
    5. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    6. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2020. "Bayesian Modelling of TVP-VARs Using Regression Trees," Working Papers 2308, University of Strathclyde Business School, Department of Economics, revised Aug 2023.
    7. Simon Freyaldenhoven, 2020. "Identification Through Sparsity in Factor Models," Working Papers 20-25, Federal Reserve Bank of Philadelphia.
    8. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
    9. Sylvia Kaufmann & Markus Pape, 2025. "A geometric approach to factor model identification," Working Papers 24.06R, Swiss National Bank, Study Center Gerzensee.
    10. Joshua C. C. Chan, 2024. "BVARs and stochastic volatility," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 3, pages 43-67, Edward Elgar Publishing.
    11. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Working Papers halshs-02235543, HAL.
    12. Simon Beyeler & Sylvia Kaufmann, 2021. "Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 989-1012, November.
    13. Hu, Guanyu, 2021. "Spatially varying sparsity in dynamic regression models," Econometrics and Statistics, Elsevier, vol. 17(C), pages 23-34.
    14. Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
    15. Florian Huber & Massimiliano Marcellino, 2023. "Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification," Papers 2304.07856, arXiv.org, revised May 2023.
    16. Iacopini, Matteo & Poon, Aubrey & Rossini, Luca & Zhu, Dan, 2023. "Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    17. Sylvia Frühwirth-Schnatter & Darjus Hosszejni & Hedibert Freitas Lopes, 2023. "When It Counts—Econometric Identification of the Basic Factor Model Based on GLT Structures," Econometrics, MDPI, vol. 11(4), pages 1-30, November.
    18. Darjus Hosszejni & Sylvia Fruhwirth-Schnatter, 2022. "Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis," Papers 2211.00671, arXiv.org, revised Feb 2025.
    19. Joshua Chan & Eric Eisenstat & Xuewen Yu, 2022. "Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis," Papers 2207.03988, arXiv.org.
    20. Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023. "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, vol. 236(1).
    21. Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023. "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, vol. 237(2).
    22. Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
    23. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    24. Sylvia Kaufmann & Markus Pape, 2023. "Bayesian (non-)unique sparse factor modelling," Working Papers 23.04, Swiss National Bank, Study Center Gerzensee.
    25. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," PSE Working Papers halshs-03626503, HAL.
    26. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
    27. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," PSE Working Papers halshs-02235543, HAL.

  10. Sylvia Kaufmann & Christian Schumacher, 2017. "Identifying relevant and irrelevant variables in sparse factor models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1123-1144, September.

    Cited by:

    1. Michael Stanley Smith, 2021. "Implicit Copulas: An Overview," Papers 2109.04718, arXiv.org.
    2. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
    3. Simon Beyeler & Sylvia Kaufmann, 2021. "Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 989-1012, November.
    4. Kaufmann, Sylvia & Schumacher, Christian, 2019. "Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification," Journal of Econometrics, Elsevier, vol. 210(1), pages 116-134.
    5. Philippe Goulet Coulombe & Maximilian Goebel & Karin Klieber, 2024. "Dual Interpretation of Machine Learning Forecasts," Papers 2412.13076, arXiv.org.
    6. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
    7. Sylvia Frühwirth-Schnatter & Darjus Hosszejni & Hedibert Freitas Lopes, 2023. "When It Counts—Econometric Identification of the Basic Factor Model Based on GLT Structures," Econometrics, MDPI, vol. 11(4), pages 1-30, November.
    8. Adrian Quintero & Emmanuel Lesaffre & Geert Verbeke, 2024. "Bayesian Exploratory Factor Analysis via Gibbs Sampling," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 121-142, February.
    9. Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
    10. Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023. "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, vol. 237(2).
    11. Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
    12. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    13. Smith, Michael Stanley, 2023. "Implicit Copulas: An Overview," Econometrics and Statistics, Elsevier, vol. 28(C), pages 81-104.
    14. Sylvia Kaufmann & Markus Pape, 2023. "Bayesian (non-)unique sparse factor modelling," Working Papers 23.04, Swiss National Bank, Study Center Gerzensee.
    15. Javier Maldonado & Esther Ruiz, 2021. "Accurate Confidence Regions for Principal Components Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1432-1453, December.
    16. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," PSE Working Papers halshs-03626503, HAL.
    17. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
    18. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," PSE Working Papers halshs-02235543, HAL.

  11. Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.

    Cited by:

    1. Ge, Shuyi, 2023. "A revisit to sovereign risk contagion in eurozone with mutual exciting regime-switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Laura E. Jackson & Michael T. Owyang & Daniel Soques, 2016. "Nonlinearities, Smoothing and Countercyclical Monetary Policy," Working Papers 2016-8, Federal Reserve Bank of St. Louis.
    3. Antonio Pacifico, 2019. "Structural Panel Bayesian VAR Model to Deal with Model Misspecification and Unobserved Heterogeneity Problems," Econometrics, MDPI, vol. 7(1), pages 1-24, March.
    4. Spezia, Luigi, 2020. "Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    5. Huber, Florian & Fischer, Manfred M., 2015. "A Markov switching factor-augmented VAR model for analyzing US business cycles and monetary policy," Department of Economics Working Paper Series 201, WU Vienna University of Economics and Business.
    6. Gregor Bäurle & Daniel Kaufmann & Sylvia Kaufmann & Rodney W. Strachan, 2016. "Changing dynamics at the zero lower bound," Working Papers 16.02, Swiss National Bank, Study Center Gerzensee.
    7. Neville Francis & Michael T. Owyang & Daniel Soques, 2019. "Business Cycles Across Space and Time," Working Papers 2019-010, Federal Reserve Bank of St. Louis, revised 05 May 2021.
    8. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Interconnections between Eurozone and US Booms and Busts using a Bayesian Panel Markov-Switching VAR Mode," Tinbergen Institute Discussion Papers 15-111/III, Tinbergen Institute.
    9. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2020. "Bayesian Modelling of TVP-VARs Using Regression Trees," Working Papers 2308, University of Strathclyde Business School, Department of Economics, revised Aug 2023.
    10. Maximilian Goedl & Christoph Zwick, 2018. "Assessing the stochastic stability of public debt: the case of Austria," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(3), pages 559-585, August.
    11. Hauzenberger, Niko & Huber, Florian, 2018. "Model instability in predictive exchange rate regressions," Department of Economics Working Paper Series 276, WU Vienna University of Economics and Business.
    12. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
    13. Florian Huber & Thomas Zörner, 2017. "Threshold cointegration and adaptive shrinkage," Department of Economics Working Papers wuwp250, Vienna University of Economics and Business, Department of Economics.
    14. Ge, S., 2020. "A Revisit to Sovereign Risk Contagion in Eurozone with Mutual Exciting Regime-Switching Model," Cambridge Working Papers in Economics 20114, Faculty of Economics, University of Cambridge.
    15. Ringwald, Leopold & Zörner, Thomas O., 2023. "The money-inflation nexus revisited," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 293-333.
    16. Bäurle Gregor & Kaufmann Daniel & Kaufmann Sylvia & Strachan Rodney, 2020. "Constrained interest rates and changing dynamics at the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-26, April.
    17. Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
    18. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    19. Eller, Markus & Hauzenberger, Niko & Huber, Florian & Schuberth, Helene & Vashold, Lukas, 2021. "The impact of macroprudential policies on capital flows in CESEE," Journal of International Money and Finance, Elsevier, vol. 119(C).
    20. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    21. Huber, Florian & Pfarrhofer, Michael & Zörner, Thomas O., 2018. "Stochastic model specification in Markov switching vector error correction models," Working Papers in Economics 2018-3, University of Salzburg.
    22. Chikashi Tsuji, 2016. "Did the expectations channel work? Evidence from quantitative easing in Japan, 2001–06," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1210996-121, December.
    23. Grassi, Stefano & Ravazzolo, Francesco & Vespignani, Joaquin & Vocalelli, Giorgio, 2023. "Global money supply and energy and non-energy commodity prices: A MS-TV-VAR approach," Working Papers 2023-01, University of Tasmania, Tasmanian School of Business and Economics.
    24. Guisinger, Amy Y. & Owyang, Michael T. & Soques, Daniel, 2024. "Industrial Connectedness and Business Cycle Comovements," Econometrics and Statistics, Elsevier, vol. 29(C), pages 132-149.
    25. Marcellino, Massimiliano & Foroni, Claudia & Casarin, Roberto & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.
    26. Michael T. Owyang & Hannah Shell & Daniel Soques, 2022. "The Evolution of Regional Beveridge Curves," Working Papers 2022-037, Federal Reserve Bank of St. Louis.
    27. Ovielt Baltodano L'opez & Roberto Casarin, 2022. "A Dynamic Stochastic Block Model for Multi-Layer Networks," Papers 2209.09354, arXiv.org.

  12. Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
    See citations under working paper version above.
  13. Sylvia Kaufmann & Peter Kugler, 2010. "A monetary real-time conditional forecast of euro area inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 388-405.

    Cited by:

    1. Christian Aßmann & Jens Boysen-Hogrefe & Markus Pape, 2024. "Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 577-609, September.
    2. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    3. Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michele Modugno, 2012. "An Area-Wide Real-Time Database for the Euro Area," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1000-1013, November.
    4. Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank).

  14. Sylvia Kaufmann & Maria Teresa Valderrama, 2010. "The Role Of Credit Aggregates And Asset Prices In The Transmission Mechanism: A Comparison Between The Euro Area And The Usa," Manchester School, University of Manchester, vol. 78(4), pages 345-377, July.
    See citations under working paper version above.
  15. Kaufmann, Sylvia & Scharler, Johann, 2009. "Financial systems and the cost channel transmission of monetary policy shocks," Economic Modelling, Elsevier, vol. 26(1), pages 40-46, January.
    See citations under working paper version above.
  16. Sylvia Kaufmann & Peter Kugler, 2008. "Does Money Matter For Inflation In The Euro Area?," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 590-606, October.
    See citations under working paper version above.
  17. Jarko Fidrmuc & Sylvia Kaufmann & Andreas Resch, 2008. "Structural breaks in Austrian foreign trade with Eastern Europe during the early 1970s," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(5), pages 465-479, December.

    Cited by:

    1. Christian Ragacs & Klaus Vondra, 2009. "Austria’s Economic Activities in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 5, pages 66-72.
    2. Beckmann, Elisabeth & Fidrmuc, Jarko, 2009. "Oil Price Shock and Structural Changes in CMEA Trade," Discussion Papers in Economics 10963, University of Munich, Department of Economics.
    3. Elisabeth Beckmann & Jarko Fidrmuc, 2012. "Oil Price Shock and Structural Changes in CMEA Trade: Pouring Oil on Troubled Waters?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 9(1), pages 31-49, April.
    4. Florian Verheyen, 2014. "The stability of German export demand equations – have German exports suffered from the strength of the euro?," International Economics and Economic Policy, Springer, vol. 11(4), pages 529-548, December.

  18. Sylvia Kaufmann & Maria Teresa Valderrama, 2008. "Bank lending in Germany and the UK: are there differences between a bank-based and a market-based country?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 266-279.

    Cited by:

    1. Tomas Konecny & Oxana Babecka Kucharcukova, 2013. "Evaluating the Links Between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Working Papers 2013/10, Czech National Bank.
    2. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    3. Fischer, Andreas M. & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," Journal of International Money and Finance, Elsevier, vol. 113(C).
    4. Stefanos Papadamou & Vaggelis Arvanitis & Costas Siriopoulos, 2014. "A Bank Lending Channel that is Working via Housing or via Consumer Loans? Evidence from Europe," Bulletin of Applied Economics, Risk Market Journals, vol. 1(1), pages 15-34.
    5. Markus Eller & Michael Frömmel & Nora Srzentic, 2010. "Private Sector Credit in CESEE: Long-Run Relationships and Short-Run Dynamics," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 50-78.
    6. Sylvia Kaufmann & Johann Scharler, 2009. "Bank-Lending Standards, the Cost Channel and Inflation Dynamics," Economics working papers 2009-16, Department of Economics, Johannes Kepler University Linz, Austria.
    7. Mariarosaria Agostino & Lucia Errico & Sandro Rondinella & Francesco Trivieri, 2022. "Do cooperative banks matter for new business creation? Evidence on Italian manufacturing industry," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(3), pages 637-675, September.
    8. Vithessonthi, Chaiporn, 2016. "Deflation, bank credit growth, and non-performing loans: Evidence from Japan," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 295-305.
    9. Florian Kiy & Theresa Zick, 2020. "Effects of declining bank health on borrowers’ earnings quality: evidence from the European sovereign debt crisis," Journal of Business Economics, Springer, vol. 90(4), pages 615-673, May.
    10. Sylvia Kaufmann & Peter Kugler, 2008. "Does Money Matter For Inflation In The Euro Area?," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 590-606, October.
    11. Sylvia Kaufmann & Peter Kugler, 2010. "A monetary real-time conditional forecast of euro area inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 388-405.
    12. Mustafa Tevfik Kartal & Derviş Kirikkaleli & Fatih Ayhan, 2023. "Nexus between non‐performing loans and economic growth in emerging countries: Evidence from Turkey with wavelet coherence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1250-1260, April.
    13. Kaufmann, Sylvia & Valderrama, Maria Teresa, 2007. "The role of credit aggregates and asset prices in the transmission mechanism: a comparison between the euro area and the US," Working Paper Series 816, European Central Bank.
    14. Subhan Ullah & Sardar Ahmad & Saeed Akbar & Devendra Kodwani & Jane Frecknall‐Hughes, 2021. "Governance disclosure quality and market valuation of firms in UK and Germany," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5031-5055, October.
    15. Nadja König, 2016. "Personal Insolvency Dynamics in Germany and the UK -- A SUR-TAR Approach," Macroeconomics and Finance Series 201602, University of Hamburg, Department of Socioeconomics.

  19. Fruhwirth-Schnatter, Sylvia & Kaufmann, Sylvia, 2008. "Model-Based Clustering of Multiple Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 78-89, January.
    See citations under working paper version above.
  20. Sylvia Kaufmann, 2007. "Capturing the Link between M3 Growth and Inflation in the Euro Area – An Econometric Model to Produce Conditional Inflation Forecasts," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 93-108.

    Cited by:

    1. Kulaksizoglu, Tamer & Kulaksizoglu, Sebnem, 2009. "The U.S. Excess Money Growth and Inflation Relation in the Long-Run: A Nonlinear Analysis," MPRA Paper 23780, University Library of Munich, Germany.

  21. Sylvia Kaufmann & Sylvia Frühwirth-Schnatter, 2006. "How do changes in monetary policy affect bank lending? An analysis of Austrian bank data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 275-305.

    Cited by:

    1. Christian Merkl & Stephanie Stolz, 2009. "Banks' regulatory buffers, liquidity networks and monetary policy transmission," Applied Economics, Taylor & Francis Journals, vol. 41(16), pages 2013-2024.
    2. Burgstaller Johann, 2010. "Bank Lending and Monetary Policy Transmission in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 163-185, April.
    3. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," Working Paper series 18-12, Rimini Centre for Economic Analysis.
    4. Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020. "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers 20.04, Swiss National Bank, Study Center Gerzensee.
    5. Beutler, Toni & Gubler, Matthias & Hauri, Simona & Kaufmann, Sylvia, 2021. "Bank lending in Switzerland: Driven by business models and exposed to uncertainty," International Review of Financial Analysis, Elsevier, vol. 78(C).
    6. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    7. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, 2010. "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    8. Nektarios A. Michail & Christos S. Savva & Demetris Koursaros, 2021. "Are central banks to blame? Monetary policy and bank lending behavior," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 762-779, October.
    9. Iwanicz-Drozdowska, Małgorzata & Witkowski, Bartosz, 2016. "Credit growth in Central, Eastern, and South-Eastern Europe: The case of foreign bank subsidiaries," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 146-158.
    10. Sylvia Frühwirth-Schnatter, 2011. "Panel data analysis: a survey on model-based clustering of time series," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(4), pages 251-280, December.
    11. Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank).

  22. Kaufmann Sylvia & Scheicher Martin, 2006. "A Switching ARCH Model for the German DAX Index," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-37, December.

    Cited by:

    1. Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
    2. Roberta Colavecchio & Michael Funke, 2009. "Volatility Dependence across Asia-Pacific Onshore and Offshore Currency Forwards Markets," Working Papers 112009, Hong Kong Institute for Monetary Research.
    3. Ardia, David & Hoogerheide, Lennart F., 2010. "Efficient Bayesian estimation and combination of GARCH-type models," MPRA Paper 22919, University Library of Munich, Germany.
    4. Abounoori, Esmaiel & Elmi, Zahra (Mila) & Nademi, Younes, 2016. "Forecasting Tehran stock exchange volatility; Markov switching GARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 264-282.

  23. Sylvia Kaufmann & Maria Teresa Valderrama, 2004. "The Role of Bank Lending in Market-Based and Bank-Based Financial Systems," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 88-97.

    Cited by:

    1. Kim-Leng Goh & Sook-Lu Yong, 2007. "Bank lending and monetary policy: the effects of structural shift in interest rates," Economics Bulletin, AccessEcon, vol. 5(5), pages 1-14.
    2. CIOBU Stela & PARtACHI Ileana, 2009. "The impact of the bank credits on the sustainable development of the real sector in the Republic of Moldova," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(1 Special), pages 227-233, July.
    3. Lee, Chien-Chiang & Hsieh, Meng-Fen & Yang, Shih-Jui, 2014. "The relationship between revenue diversification and bank performance: Do financial structures and financial reforms matter?," Japan and the World Economy, Elsevier, vol. 29(C), pages 18-35.

  24. Dulleck, Uwe & Kaufmann, Sylvia, 2004. "Do customer information programs reduce household electricity demand?--the Irish program," Energy Policy, Elsevier, vol. 32(8), pages 1025-1032, June.

    Cited by:

    1. Elbaz Shimon & Zaiţ Adriana, 2016. "Efficient Use of Behavioral Tools to Reduce Electricity Demand of Domestic Consumers," Scientific Annals of Economics and Business, Sciendo, vol. 63(s1), pages 89-107, December.
    2. Xu, Bing & Nayak, Amar & Gray, David & Ouenniche, Jamal, 2016. "Assessing energy business cases implemented in the North Sea Region and strategy recommendations," Applied Energy, Elsevier, vol. 172(C), pages 360-371.
    3. Georgopoulou, E. & Sarafidis, Y. & Mirasgedis, S. & Balaras, C.A. & Gaglia, A. & Lalas, D.P., 2006. "Evaluating the need for economic support policies in promoting greenhouse gas emission reduction measures in the building sector: The case of Greece," Energy Policy, Elsevier, vol. 34(15), pages 2012-2031, October.
    4. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    5. María del P. Pablo-Romero ,, & Rafael Pozo-Barajas & Javier Sánchez-Rivas, 2017. "Relationships between Tourism and Hospitality Sector Electricity Consumption in Spanish Provinces (1999–2013)," Sustainability, MDPI, vol. 9(4), pages 1-12, March.
    6. Aisbett, Emma & Steinhauser, Ralf, 2013. "Maintaining the Common Poolː Voluntary Water Conservation in Response to Varying Scarcity," WiSo-HH Working Paper Series 7, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    7. Diffney, Sean & Lyons, Sean & Malguzzi Valeri, Laura, 2009. "Advertising to boost energy efficiency: the Power of One campaign and natural gas consumption," Papers WP280, Economic and Social Research Institute (ESRI).
    8. Will Gans & Anna Alberini & Alberto Longo, 2011. "Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland," Working Papers 2011.36, Fondazione Eni Enrico Mattei.
    9. Omar Alrawi & I. Safak Bayram & Sami G. Al-Ghamdi & Muammer Koc, 2019. "High-Resolution Household Load Profiling and Evaluation of Rooftop PV Systems in Selected Houses in Qatar," Energies, MDPI, vol. 12(20), pages 1-25, October.
    10. Ashina, Shuichi & Nakata, Toshihiko, 2008. "Energy-efficiency strategy for CO2 emissions in a residential sector in Japan," Applied Energy, Elsevier, vol. 85(2-3), pages 101-114, February.
    11. di Cosmo, Valeria & Lyons, Seán & Nolan, Anne, 2014. "Estimating the Impact of Time-of-Use Pricing on Irish Electricity Demand," Papers RB2014/2/2, Economic and Social Research Institute (ESRI).
    12. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    13. Bergaentzlé, Claire & Clastres, Cédric & Khalfallah, Haikel, 2014. "Demand-side management and European environmental and energy goals: An optimal complementary approach," Energy Policy, Elsevier, vol. 67(C), pages 858-869.
    14. Said, Fathin Faizah & Babatunde, Kazeem Alasinrin & Md Nor, Nor Ghani & Mahmoud, Moamin A. & Begum, Rawshan Ara, 2022. "Decarbonizing the Global Electricity Sector through Demand-Side Management: A Systematic Critical Review of Policy Responses," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(1), pages 71-91.
    15. Ashina, Shuichi & Nakata, Toshihiko, 2008. "Quantitative analysis of energy-efficiency strategy on CO2 emissions in the residential sector in Japan - Case study of Iwate prefecture," Applied Energy, Elsevier, vol. 85(4), pages 204-217, April.
    16. Kenichi Mizobuchi & Kenji Takeuchi, 2012. "Using Economic Incentives to Reduce Electricity Consumption: A field Experiment in Matsuyama, Japan," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 318-332.
    17. Delaney, Jason & Jacobson, Sarah, 2013. "Payments or persuasion: common pool resource management with price and non-price measures," Department of Economics Working Papers 2013-02, Department of Economics, Williams College, revised Mar 2015.
    18. Diffney, Sean & Lyons, Sean & Malaguzzi Valeri, Laura, 2014. "Evaluation of the Effect of the Power of One Campaign on Natural Gas Consumption," Papers RB2013/3/1, Economic and Social Research Institute (ESRI).
    19. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    20. Nina Boogen & Souvik Datta & Massimo Filippini, 2016. "Demand-side management by electric utilities in Switzerland: Analyzing its impact on residential electricity demand," CER-ETH Economics working paper series 16/247, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    21. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    22. He, Xian & Keyaerts, Nico & Azevedo, Isabel & Meeus, Leonardo & Hancher, Leigh & Glachant, Jean-Michel, 2013. "How to engage consumers in demand response: A contract perspective," Utilities Policy, Elsevier, vol. 27(C), pages 108-122.
    23. Claire Bergaentzlé & Cédric Clastres & Haikel Khalfallah, 2014. "Demand-side management and European environmental and energy goals: an optimal complementary approach," Post-Print halshs-00928678, HAL.
    24. Streimikiene, Dalia & Volochovic, Andzej, 2011. "The impact of household behavioral changes on GHG emission reduction in Lithuania," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4118-4124.
    25. Zaneta Simanaviciene & Andzej Volochovic & Akvile Cibinskiene, 2016. "Features Of Energy Saving Potential In Lithuanian Households," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 145-157, March.
    26. Benders, Rene M.J. & Kok, Rixt & Moll, Henri C. & Wiersma, Gerwin & Noorman, Klaas Jan, 2006. "New approaches for household energy conservation--In search of personal household energy budgets and energy reduction options," Energy Policy, Elsevier, vol. 34(18), pages 3612-3622, December.
    27. Aasen, M. & Westskog, H. & Wilhite, H. & Lindberg, M., 2010. "The EU electricity disclosure from the business perspective--A study from Norway," Energy Policy, Elsevier, vol. 38(12), pages 7921-7928, December.
    28. Hong, Jun & Johnstone, Cameron & Torriti, Jacopo & Leach, Matthew, 2012. "Discrete demand side control performance under dynamic building simulation: A heat pump application," Renewable Energy, Elsevier, vol. 39(1), pages 85-95.

  25. Sylvia Kaufmann & Burkhard Raunig & Helene Schuberth, 2004. "Growth and Stability in the EU," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 100-108.

    Cited by:

    1. Kim-Leng Goh & Sook-Lu Yong, 2007. "Bank lending and monetary policy: the effects of structural shift in interest rates," Economics Bulletin, AccessEcon, vol. 5(5), pages 1-14.
    2. Burgstaller Johann, 2010. "Bank Lending and Monetary Policy Transmission in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 163-185, April.
    3. CIOBU Stela & PARtACHI Ileana, 2009. "The impact of the bank credits on the sustainable development of the real sector in the Republic of Moldova," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(1 Special), pages 227-233, July.
    4. David Natali, 2009. "The Lisbon strategy a decade on: a critical review of a multi-disciplinary literature," Transfer: European Review of Labour and Research, , vol. 15(1), pages 111-137, February.

  26. Sylvia Kaufmann & Sylvia Frühwirth‐Schnatter, 2002. "Bayesian analysis of switching ARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(4), pages 425-458, July.
    See citations under working paper version above.
  27. Sylvia Kaufmann & Georg Winckler & Johann Scharler, 2002. "The Austrian current account deficit: Driven by twin deficits or by intertemporal expenditure allocation?," Empirical Economics, Springer, vol. 27(3), pages 529-542.
    See citations under working paper version above.
  28. Sylvia Kaufmann, 2002. "Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data," Empirical Economics, Springer, vol. 27(2), pages 277-297.
    See citations under working paper version above.
  29. Sylvia Kaufmann, 2000. "Measuring business cycles with a dynamic Markov switching factor model: an assessment using Bayesian simulation methods," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 39-65.

    Cited by:

    1. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Post-Print halshs-00423890, HAL.
    2. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An extended Markov-Switching Dynamic Factor Model," OECD Statistics Working Papers 2020/01, OECD Publishing.
    3. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    4. Sylvia Kaufmann, 2001. "Is there an asymmetric effect on monetary policy over time? A bayesian analysis using Austrian data," Working Papers 45, Oesterreichische Nationalbank (Austrian Central Bank).
    5. Michael Funke & Harm Bandholz, 2003. "In search of leading indicators of economic activity in Germany," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 277-297.
    6. Konstantin A., Kholodilin, 2003. "Identifying and Forecasting the Turns of the Japanese Business Cycle," LIDAM Discussion Papers IRES 2003008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    7. Sylvia Kaufmann & Sylvia Frühwirth‐Schnatter, 2002. "Bayesian analysis of switching ARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(4), pages 425-458, July.
    8. Wang, Jin-ming & Gao, Tie-mei & McNown, Robert, 2009. "Measuring Chinese business cycles with dynamic factor models," Journal of Asian Economics, Elsevier, vol. 20(2), pages 89-97, March.
    9. Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 227-244, October.
    10. Louise Holm, 2016. "The Swedish business cycle, 1969-2013," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(2), pages 1-22.
    11. Konstantin A. Kholodilin, 2006. "Using the Dynamic Bi-Factor Model with Markov Switching to Predict the Cyclical Turns in the Large European Economies," Discussion Papers of DIW Berlin 554, DIW Berlin, German Institute for Economic Research.
    12. Aneta Wlodarczyk & Marcin Zawada, 2008. "Markov-Switching Models for the Prices of Electric Energy on the Energy Stock Market in Poland," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 171-178.
    13. Rokas Gylys & Jonas Šiaulys, 2020. "Estimation of Uncertainty in Mortality Projections Using State-Space Lee-Carter Model," Mathematics, MDPI, vol. 8(7), pages 1-23, June.
    14. Chuku Chuku & Paul Middleditch, 2016. "Characterizing monetary and fiscal policy rules and interactions when commodity prices matter," Centre for Growth and Business Cycle Research Discussion Paper Series 222, Economics, The University of Manchester.
    15. Catherine Doz & Anna Petronevich, 2016. "Dating Business Cycle Turning Points for the French Economy: An MS-DFM approach," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 481-538, Emerald Group Publishing Limited.
    16. Monica Billio & Roberto Casarin & Matteo Iacopini, 2018. "Bayesian Markov Switching Tensor Regression for Time-varying Networks," Working Papers 2018:14, Department of Economics, University of Venice "Ca' Foscari".
    17. Sungyup Chung, 2016. "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 229-252, January.
    18. Huber, Florian & Pfarrhofer, Michael & Zörner, Thomas O., 2018. "Stochastic model specification in Markov switching vector error correction models," Working Papers in Economics 2018-3, University of Salzburg.
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