IDEAS home Printed from https://ideas.repec.org/e/c/pka122.html
   My authors  Follow this author

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. 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.
    2. Menzie D. Chinn & Hiro Ito & Robert N. McCauley, 2021. "Do Central Banks Rebalance Their Currency Shares?," NBER Working Papers 29190, National Bureau of Economic Research, Inc.
    3. Andreas M. Fischer & Dr. Pinar Yesin, 2023. "The kindness of strangers: Brexit and bilateral financial linkages," Working Papers 2023-02, Swiss National Bank.
    4. 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. 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.
    2. 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 22.02R, Swiss National Bank, Study Center Gerzensee.
    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. 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.

  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. 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. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," PSE Working Papers halshs-02235543, HAL.

  5. Dr. 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. 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.

  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. 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.
    2. Masao Fukui & Emi Nakamura & Jón Steinsson, 2023. "Women, Wealth Effects, and Slow Recoveries," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 269-313, January.
    3. Zhang, Wen, 2019. "Deciphering the causes for the post-1990 slow output recoveries," Economics Letters, Elsevier, vol. 176(C), pages 28-34.
    4. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    5. 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. 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.
    2. 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.
    3. 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.
    4. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. 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).
    6. Gregor Kastner, 2016. "Sparse Bayesian time-varying covariance estimation in many dimensions," Papers 1608.08468, arXiv.org, revised Nov 2017.
    7. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
    8. 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.
    9. James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
    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. 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.
    2. Ana B. Galvão & Michael T. Owyang, 2014. "Financial stress regimes and the macroeconomy," Working Papers 2014-20, Federal Reserve Bank of St. Louis.
    3. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    4. 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.
    5. Gary Koop & Dimitris Korobilis, 2013. "A new index of financial conditions," Working Papers 1307, University of Strathclyde Business School, Department of Economics.
    6. 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".
    7. 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.
    8. 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.
    9. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.

  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. 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.
    3. 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.

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

    Cited by:

    1. 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.
    2. 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.
    3. Sven W. Arndt, 2006. "Regional Currency Arrangements in North America," Working Papers 40, Bank of Greece.
    4. 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).
    5. Hans Genberg, 2006. "Exchange-Rate Arrangements an Financial Integration in East Asia: On a Collision Course?," Working Papers 122, Oesterreichische Nationalbank (Austrian Central Bank).
    6. 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.
    7. 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.

  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. Domić Alan, 2012. "An application of New Keynesian models to inflation in Croatia," Business Systems Research, Sciendo, vol. 3(2), pages 6-13, September.
    2. 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.
    3. 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.
    4. 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.
    5. Lskavyan, Vahe, 2020. "Banking crisis and bank supervisory accountability," Journal of Economics and Business, Elsevier, vol. 107(C).
    6. Ernestas Virbickas, 2012. "New Keynesian Phillips Curve in Lithuania," Bank of Lithuania Working Paper Series 14, Bank of Lithuania.
    7. Maral Shamloo, 2011. "Inflation Dynamics in FYR Macedonia," IMF Working Papers 2011/287, International Monetary Fund.
    8. Muhammad Naveed Tahir, 2011. "Inflation Targeting, Exchange Rate and Financial Globalization," Working Papers halshs-00646601, HAL.

  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. 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. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    3. 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.
    4. Neville Francis & Michael T. Owyang & Özge Savascin, 2012. "An endogenously clustered factor approach to international business cycles," Working Papers 2012-014, Federal Reserve Bank of St. Louis.
    5. 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".
    6. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    7. 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.
    8. Ruben Hernandez-Murillo & Michael T. Owyang & Margarita Rubio, 2013. "Clustered housing cycles," Working Papers 2013-021, Federal Reserve Bank of St. Louis.
    9. 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.
    10. Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," CREATES Research Papers 2011-33, Department of Economics and Business Economics, Aarhus University.
    11. James D. Hamilton & Michael T. Owyang, 2011. "The Propagation of Regional Recessions," NBER Working Papers 16657, National Bureau of Economic Research, Inc.
    12. Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022. "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
    13. M. D. Gadea-Rivas & Ana Gómez-Loscos & Eduardo Bandrés, 2017. "Clustering regional business cycles," Working Papers 1744, Banco de España.
    14. Ana Gómez-Loscos & M. Dolores Gadea & Eduardo Bandres, 2020. "Business cycle patterns in European regions," Empirical Economics, Springer, vol. 59(6), pages 2639-2661, December.
    15. Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.
    16. 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".
    17. Christopher A. Sims & Daniel F. Waggoner & Tao Zha, 2006. "Methods for inference in large multiple-equation Markov-switching models," FRB Atlanta Working Paper 2006-22, Federal Reserve Bank of Atlanta.
    18. 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.
    19. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.

  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. 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.
    2. 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, University of Rome La Sapienza, Department of Economics and Law.
    3. 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.
    4. Danilo Liberati, 2014. "An estimated DSGE model with search and matching frictions in the credit market," Temi di discussione (Economic working papers) 986, Bank of Italy, Economic Research and International Relations Area.
    5. 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.
    6. Malikane, Christopher, 2012. "Inflation dynamics and the cost channel in emerging markets," MPRA Paper 42688, University Library of Munich, Germany.
    7. 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.
    8. Nikhil Patel, 2016. "International Trade Finance and the Cost Channel of Monetary Policy in Open Economies," BIS Working Papers 539, Bank for International Settlements.
    9. 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.
    10. Ida, Daisuke, 2014. "Role of financial systems in a sticky price model," Journal of Economics and Business, Elsevier, vol. 72(C), pages 44-57.
    11. 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.
    12. Francesco Giuli & Massimiliano Tancioni, 2009. "Firm-Specific Capital, Productivity Shocks and Investment Dynamics," Working Papers in Public Economics 120, University of Rome La Sapienza, Department of Economics and Law.
    13. 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.
    14. 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.
    15. William Tayler & Roy Zilberman, 2014. "Macroprudential regulation and the role of monetary policy," Working Papers 63933064, Lancaster University Management School, Economics Department.
    16. 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.
    17. 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.
    18. Kapinos, Pavel, 2011. "Forward-looking monetary policy and anticipated shocks to inflation," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 620-633.
    19. Meixing Dai & Qiao Zhang, 2017. "Central bank transparency under the cost channel," Post-Print hal-02166805, HAL.

  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. 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. 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.
    4. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Working Papers 30, Department of Applied Econometrics, Warsaw School of Economics.
    5. Prieto, Esteban & Eickmeier, Sandra & Marcellino, Massimiliano, 2013. "Time variation in macro-financial linkages," Discussion Papers 13/2013, Deutsche Bundesbank.
    6. Kirstin Hubrich & Robert J. Tetlow, 2012. "Financial stress and economic dynamics: the transmission of crises," Finance and Economics Discussion Series 2012-82, Board of Governors of the Federal Reserve System (U.S.).
    7. 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.
    8. Romuald Morhs, 2010. "Monetary Policy Transmission and Macroeconomic Dynamics in Luxembourg: Results from a VAR Analysis," BCL working papers 49, Central Bank of Luxembourg.
    9. Marcin Kolasa & Michal Brzoza-Brzezina & Krzysztof Makarski, 2015. "A penalty function approach to occasionally binding credit constraints," EcoMod2015 8359, EcoMod.
    10. Eddie Gerba & Danilo Leiva-Leon, 2020. "Macro-financial interactions in a changing world," Working Papers 2018, Banco de España.
    11. 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.
    12. Christian Heebøll-Christensen, 2011. "Financial Instability - a Result of Excess Liquidity or Credit Cycles?," Discussion Papers 11-21, University of Copenhagen. Department of Economics.

  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. 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.
    2. Michael Woodford, 2008. "How Important Is Money in the Conduct of Monetary Policy?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1561-1598, December.
    3. Hofmann, Boris, 2009. "Do monetary indicators lead euro area inflation?," Journal of International Money and Finance, Elsevier, vol. 28(7), pages 1165-1181, November.
    4. Gebhard Kirchgässner & Jürgen Wolters, 2009. "The Role of Monetary Aggregates in the Policy Analysis of the Swiss National Bank," CREMA Working Paper Series 2009-30, Center for Research in Economics, Management and the Arts (CREMA).
    5. Jonathan Benchimol & André Fourçans, 2010. "Money and risk aversion in a DSGE framework: a Bayesian application to the Euro zone," Working Papers hal-00800082, HAL.
    6. 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.
    7. 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.
    8. 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.
    9. Dr. Jonas Stulz, 2007. "Exchange rate pass-through in Switzerland: Evidence from vector autoregressions," Economic Studies 2007-04, Swiss National Bank.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Javier Gómez Biscarri & Javier Hualde, 2014. "A Residual-Based ADF Test for Stationary Cointegration in I (2) Settings," Working Papers 779, Barcelona School of Economics.
    20. 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).
    21. Gerlach, Stefan & Assenmacher, Katrin, 2006. "Interpreting Euro Area Inflation at High and Low Frequencies," CEPR Discussion Papers 5632, C.E.P.R. Discussion Papers.
    22. Emil Stavrev & Helge Berger, 2012. "The information content of money in forecasting euro area inflation," Applied Economics, Taylor & Francis Journals, vol. 44(31), pages 4055-4072, November.
    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. 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.
    25. 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).
    26. 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).
    27. 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.

  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. 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.
    2. 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.
    3. 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.
    4. Neville Francis & Michael T. Owyang & Özge Savascin, 2012. "An endogenously clustered factor approach to international business cycles," Working Papers 2012-014, Federal Reserve Bank of St. Louis.
    5. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
    6. 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.
    7. 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".
    8. 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.
    9. 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.
    10. 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.
    11. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    12. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    13. 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.
    14. 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.
    15. Ruben Hernandez-Murillo & Michael T. Owyang & Margarita Rubio, 2013. "Clustered housing cycles," Working Papers 2013-021, Federal Reserve Bank of St. Louis.
    16. Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2021. "The Impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Working Papers 2021:03, Department of Economics, University of Venice "Ca' Foscari".
    17. 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.
    18. Frühwirth-Schnatter, Sylvia & Pittner, Stefan & Weber, Andrea & Winter-Ebmer, Rudolf, 2016. "Analysing Plant Closure Effects Using Time-Varying Mixture-of-Experts Markov Chain Clustering," Economics Series 324, Institute for Advanced Studies.
    19. 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.
    20. 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.
    21. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Model-based Clustering of non-Gaussian Panel Data," MPRA Paper 880, University Library of Munich, Germany.
    22. 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.
    23. James D. Hamilton & Michael T. Owyang, 2011. "The Propagation of Regional Recessions," NBER Working Papers 16657, National Bureau of Economic Research, Inc.
    24. Antonio Rodríguez Andrés & Abraham Otero & Voxi Heinrich Amavilah, 2022. "Knowledge economy classification in African countries: A model-based clustering approach," Information Technology for Development, Taylor & Francis Journals, vol. 28(2), pages 372-396, April.
    25. Gregor Zens, 2018. "Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership," Papers 1809.04853, arXiv.org, revised Jan 2019.
    26. 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.
    27. Ryo Okui & Wendun Wang, 2018. "Heterogeneous structural breaks in panel data models," Papers 1801.04672, arXiv.org, revised Nov 2018.
    28. 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.
    29. 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.
    30. 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).
    31. Laura Coroneo & Laura E. Jackson & Michael T. Owyang, 2018. "International Stock Comovements with Endogenous Clusters," Working Papers 2018-038, Federal Reserve Bank of St. Louis, revised 27 Mar 2020.
    32. 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).
    33. M. D. Gadea-Rivas & Ana Gómez-Loscos & Eduardo Bandrés, 2017. "Clustering regional business cycles," Working Papers 1744, Banco de España.
    34. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
    35. 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.
    36. 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).
    37. Sylvia Frühwirth-Schnatter & Andrea Weber & Rudolf Winter-Ebmer, 2010. "Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering," Economics working papers 2010-11, Department of Economics, Johannes Kepler University Linz, Austria.
    38. BOUADDI, Mohammed & ROMBOUTS, Jeroen V.K., 2007. "Mixed exponential power asymmetric conditional heteroskedasticity," LIDAM Discussion Papers CORE 2007097, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    39. 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.
    40. Ana Gómez-Loscos & M. Dolores Gadea & Eduardo Bandres, 2020. "Business cycle patterns in European regions," Empirical Economics, Springer, vol. 59(6), pages 2639-2661, December.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    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, 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.
    56. Sergei S. Shibaev, 2016. "Recession Propagation In Small Regional Economies: Spatial Spillovers And Endogenous Clustering," Working Paper 1369, Economics Department, Queen's University.
    57. 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.
    58. 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.
    59. Mahmoudi, Mohammad Reza, 2021. "A computational technique to classify several fractional Brownian motion processes," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).

  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. Monica Billio & Massimiliano Caporin & Guido Cazzavillan, 2008. "Dating EU15 monthly business cycle jointly using GDP and IPI," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2007(3), pages 333-366.
    2. 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.
    3. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    4. Zsolt Darvas & György Szapáry, 2006. "Business Cycle Synchronization in the Enlarged EU," Working Papers 0604, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    5. 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.
    6. 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).
    7. 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.

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

    Cited by:

    1. 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.
    2. 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.
    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. 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.
    2. 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).
    3. Caglayan, Mustafa & Kandemir Kocaaslan, Ozge & Mouratidis, Kostas, 2016. "Financial Depth and the Asymmetric Impact of Monetary Policy," MPRA Paper 75250, University Library of Munich, Germany, revised Aug 2016.
    4. Pao‐Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2021. "Do Fed Forecast Errors Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 686-712, June.
    5. Kwangyong Park, 2019. "Uncertainty, Attention Allocation and Monetary Policy Asymmetry," Working Papers 2019-5, Economic Research Institute, Bank of Korea.
    6. Ming Chien Lo & Jeremy M. Piger, 2003. "Is the response of output to monetary policy asymmetric? evidence from a regime-switching coefficients model," Working Papers 2001-022, Federal Reserve Bank of St. Louis.
    7. 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.
    8. Vítor Castro, 2008. "Are Central Banks following a linear or nonlinear (augmented) Taylor rule?," NIPE Working Papers 19/2008, NIPE - Universidade do Minho.
    9. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, 2010. "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    10. 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).
    11. Chuku Chuku & Paul Middleditch, 2020. "Characterizing Monetary and Fiscal Policy Rules and Interactions when Commodity Prices Matter," Manchester School, University of Manchester, vol. 88(3), pages 373-404, June.
    12. 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.
    13. Cerqueira, Vinícius Dos Santos & Ribeiro, Márcio Bruno & Martinez, Thiago Sevilhano, 2014. "Propagação Assimétrica de Choques Monetários na Economia Brasileira: Evidências com base em um modelo vetorial não-linear de transição suave," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
    14. Renee Fry-McKibbin & Jasmine Zheng, 2016. "Effects of US monetary policy shocks during financial crises - A threshold vector autoregression approach," CAMA Working Papers 2016-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2015. "The Role of Financial Depth on The Asymmetric Impact of Monetary Policy," EcoMod2015 8285, EcoMod.
    16. 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.
    17. Kaufmann, Sylvia, 2001. "Asymmetries in bank lending behaviour. Austria during the 1990s," Working Paper Series 97, European Central Bank.
    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. Zakaria Babutsidze, 2012. "Asymmetric (S,s) pricing: implications for monetary policy," SciencePo Working papers Main hal-01053560, HAL.
    20. Stockwell, Thomas, 2023. "Should models of monetary policy asymmetry include interaction terms?," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    21. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.
    22. 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).
    23. Horvath, Roman, 2006. "Financial Accelerator Effects in the Balance Sheets of Czech Firms," MPRA Paper 829, University Library of Munich, Germany.
    24. 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.
    25. 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).
    26. 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.
    27. 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.
    28. 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.
    29. Haykaz Igityan, 2019. "Asymmetric Effects of Monetary Policy in Different Phases of Armenia's Business Cycle," Working Papers 11, Central Bank of the Republic of Armenia.

  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. 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".
    4. 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.
    5. 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.
    6. 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.
    7. David Ardia & Lennart F. Hoogerheide, 2010. "Efficient Bayesian Estimation and Combination of GARCH-Type Models," Tinbergen Institute Discussion Papers 10-046/4, Tinbergen Institute.
    8. 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.
    9. 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.
    10. Lanne, Markku & Luoto, Jani, 2007. "Robustness of the Risk-Return Relationship in the U.S. Stock Market," MPRA Paper 3879, University Library of Munich, Germany.
    11. 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).
    12. 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.
    13. Mihaela Craioveanu & Eric Hillebrand, 2012. "Level changes in volatility models," Annals of Finance, Springer, vol. 8(2), pages 277-308, May.
    14. 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.

  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. 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.
    3. 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).
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Misztal, Piotr, 2012. "The link between government budget and current account in the Baltic countries," MPRA Paper 40784, University Library of Munich, Germany.
    10. 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.
    11. Ahmad Baharumshah & Evan Lau & Ahmed Khalid, 2006. "Testing Twin Deficits Hypothesis using VARs and Variance Decomposition," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 11(3), pages 331-354.
    12. Ashima Goyal & Abhishek Kumar, 2018. "The effect of oil shocks and cyclicality in hiding Indian twin deficits," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(1), pages 27-45, January.
    13. 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.
    14. 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.
    15. 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.
    16. António Afonso & José Carlos Coelho, 2021. "Fiscal and Current Account Imbalances: The Cases of Germany and Portugal," EconPol Working Paper 72, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    17. Narayan, Seema, 2013. "A structural VAR model of the Fiji Islands," Economic Modelling, Elsevier, vol. 31(C), pages 238-244.
    18. 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.
    19. 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.
    20. 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.
    21. Bernardin Senadza & Godson Korbla Aloryito, 2016. "The twin deficits hypothesis: Evidence from Ghana," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 9(3), pages 55-62, December.
    22. 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.
    23. 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.
    24. 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.
    25. Seema Narayan & Sivagowry Sriananthakumar, 2020. "Are the Current Account Imbalances on a Sustainable Path?," JRFM, MDPI, vol. 13(9), pages 1-24, September.
    26. 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.
    27. Evan Lau & Tuck Cheong Tang, 2009. "Twin deficits in Cambodia: An Empirical Study," Economics Bulletin, AccessEcon, vol. 29(4), pages 2783-2794.
    28. 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.
    29. 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.
    30. 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.
    31. Puah, Chin-Hong & Lau, Evan & Tan, Kim Lee, 2006. "Budget-current account deficits nexus in Malaysia," MPRA Paper 37677, University Library of Munich, Germany.
    32. 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.
    33. 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.
    34. 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.

  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. 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. 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.
    2. Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
    3. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," PSE Working Papers halshs-02235543, HAL.
    4. Sylvia Fruhwirth-Schnatter, 2023. "Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis," Papers 2303.00473, arXiv.org.
    5. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    6. 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.
    7. 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.
    8. 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.
    9. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    10. 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.
    11. Simon Freyaldenhoven, 2020. "Identification Through Sparsity in Factor Models," Working Papers 20-25, Federal Reserve Bank of Philadelphia.
    12. 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).
    13. Darjus Hosszejni & Sylvia Fruhwirth-Schnatter, 2022. "Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis," Papers 2211.00671, arXiv.org, revised Nov 2022.
    14. 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.
    15. Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
    16. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
    17. Hu, Guanyu, 2021. "Spatially varying sparsity in dynamic regression models," Econometrics and Statistics, Elsevier, vol. 17(C), pages 23-34.
    18. Florian Huber & Massimiliano Marcellino, 2023. "Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification," Papers 2304.07856, arXiv.org, revised May 2023.
    19. Florian Huber & Gary Koop, 2023. "Subspace shrinkage in conjugate Bayesian vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 556-576, June.
    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. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," PSE Working Papers halshs-03626503, HAL.
    22. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Working Papers halshs-02235543, HAL.
    23. 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).
    24. Sylvia Fruhwirth-Schnatter & Darjus Hosszejni & Hedibert Freitas Lopes, 2023. "When it counts -- Econometric identification of the basic factor model based on GLT structures," Papers 2301.06354, arXiv.org.
    25. Sylvia Kaufmann & Markus Pape, 2023. "Bayesian (non-)unique sparse factor modelling," Working Papers 23.04, Swiss National Bank, Study Center Gerzensee.

  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. 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.
    2. 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.
    3. 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.
    4. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    5. Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," PSE Working Papers halshs-02235543, HAL.
    6. 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.
    7. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    8. 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.
    9. Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
    10. Michael Stanley Smith, 2021. "Implicit Copulas: An Overview," Papers 2109.04718, arXiv.org.
    11. 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.
    12. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," PSE Working Papers halshs-03626503, HAL.
    13. 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.
    14. 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).
    15. Smith, Michael Stanley, 2023. "Implicit Copulas: An Overview," Econometrics and Statistics, Elsevier, vol. 28(C), pages 81-104.
    16. Sylvia Fruhwirth-Schnatter & Darjus Hosszejni & Hedibert Freitas Lopes, 2023. "When it counts -- Econometric identification of the basic factor model based on GLT structures," Papers 2301.06354, arXiv.org.
    17. Sylvia Kaufmann & Markus Pape, 2023. "Bayesian (non-)unique sparse factor modelling," Working Papers 23.04, Swiss National Bank, Study Center Gerzensee.

  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. 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.
    2. 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.
    3. Florian Huber & Manfred M. Fischer, 2018. "A Markov Switching Factor‐Augmented VAR Model for Analyzing US Business Cycles and Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(3), pages 575-604, June.
    4. Jackson, Laura E. & Owyang, Michael T. & Soques, Daniel, 2018. "Nonlinearities, smoothing and countercyclical monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 136-154.
    5. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. Van Dijk, 2016. "Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1352-1370, November.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
    12. 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.
    13. Dr. Gregor Bäurle & Daniel Kaufmann & Sylvia Kaufmann & Rodney W. Strachan, 2016. "Changing dynamics at the zero lower bound," Working Papers 2016-16, Swiss National Bank.
    14. Michael T. Owyang & Hannah Shell & Daniel Soques, 2022. "The Evolution of Regional Beveridge Curves," Working Papers 2022-037, Federal Reserve Bank of St. Louis.
    15. Ringwald, Leopold & Zörner, Thomas O., 2023. "The money-inflation nexus revisited," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 293-333.
    16. Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022. "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
    17. 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.
    18. 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.
    19. 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.
    20. Ovielt Baltodano L'opez & Roberto Casarin, 2022. "A Dynamic Stochastic Block Model for Multi-Layer Networks," Papers 2209.09354, arXiv.org.
    21. 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).
    22. 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.
    23. 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).
    24. 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.
    25. 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.
    26. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.

  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. Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michèle Modugno, 2010. "An Area Wide Real Time Data Base for the Euro Area," Working Papers ECARES ECARES 2010-026, ULB -- Universite Libre de Bruxelles.
    2. 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).
    3. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.

  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. 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.
    2. 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.
    3. 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.
    4. 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.

  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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. 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.

  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. 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).
    2. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
    3. Merkl, Christian & Stolz, Stéphanie, 2006. "Banks' regulatory buffers, liquidity networks and monetary policy transmission," Discussion Paper Series 2: Banking and Financial Studies 2006,06, Deutsche Bundesbank.
    4. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, 2010. "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.

  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. David Ardia & Lennart F. Hoogerheide, 2010. "Efficient Bayesian Estimation and Combination of GARCH-Type Models," Tinbergen Institute Discussion Papers 10-046/4, Tinbergen Institute.
    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. 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.
    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. 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.
    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. 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.

  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. 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.
    2. 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.
    3. Xian He & Nico Keyaerts & Isabel Azevedo, Leonardo Meeus, Leigh Hancher, Jean-Michel Glachant, 2013. "How to engage consumers in demand response: a contract perspective," RSCAS Working Papers 2013/76, European University Institute.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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).
    23. 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).
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.

  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. 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).
    2. 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.
    3. 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," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    4. 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".
    5. Sylvia Frühwirth-Schnatter, 2001. "Fully Bayesian Analysis of Switching Gaussian State Space Models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 53(1), pages 31-49, March.
    6. 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.
    7. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," Working Papers halshs-02443364, HAL.
    8. Chuku Chuku & Paul Middleditch, 2020. "Characterizing Monetary and Fiscal Policy Rules and Interactions when Commodity Prices Matter," Manchester School, University of Manchester, vol. 88(3), pages 373-404, June.
    9. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
    10. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    11. Catherine Doz & Anna Petronevich, 2015. "Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach," Documents de travail du Centre d'Economie de la Sorbonne 15009, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Harm Bandholz & Michael Funke, 2003. "In Search of Leading Indicators of Economic Activity in Germany," Quantitative Macroeconomics Working Papers 20307, Hamburg University, Department of Economics.
    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. 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.
    19. 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.
    20. 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).
    21. 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.
    22. Penelope A. Smith & Peter M. Summers, 2004. "Identification and normalization in Markov switching models of \"business cycles\"," Research Working Paper RWP 04-09, Federal Reserve Bank of Kansas City.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.