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Eleonora Granziera

Personal Details

First Name:Eleonora
Middle Name:
Last Name:Granziera
Suffix:
RePEc Short-ID:pgr548
https://sites.google.com/site/eleonoragranziera/

Affiliation

Suomen Pankki

Helsinki, Finland
https://www.bof.fi/
RePEc:edi:bofgvfi (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Research Discussion Papers 16/2019, Bank of Finland.
  2. Granziera, Eleonora & Sekhposyan, Tatevik, 2018. "Predicting relative forecasting performance : An empirical investigation," Research Discussion Papers 23/2018, Bank of Finland.
  3. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.
  4. Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.
  5. Eleonora Granziera & Sharon Kozicki, 2012. "House Price Dynamics: Fundamentals and Expectations," Staff Working Papers 12-12, Bank of Canada.
  6. Eleonara Granziera & Mihye Lee & Hyungsik Roger Moon & Frank Schorfheide, 2011. "Inference for VARs identified with sign restrictions," Working Papers 11-20, Federal Reserve Bank of Philadelphia.

Articles

  1. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
  2. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Inference for VARs identified with sign restrictions," Quantitative Economics, Econometric Society, vol. 9(3), pages 1087-1121, November.
  3. Gregory H. Bauer & Eleonora Granziera, 2017. "Monetary Policy, Private Debt, and Financial Stability Risks," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 337-373, September.
  4. Granziera, Eleonora & Kozicki, Sharon, 2015. "House price dynamics: Fundamentals and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 152-165.
  5. Granziera, Eleonora & Hubrich, Kirstin & Moon, Hyungsik Roger, 2014. "A predictability test for a small number of nested models," Journal of Econometrics, Elsevier, vol. 182(1), pages 174-185.
  6. Eleonora Granziera & Corinne Luu & Pierre St-Amant, 2013. "The Accuracy of Short-Term Forecast Combinations," Bank of Canada Review, Bank of Canada, vol. 2013(Summer), pages 13-21.

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.

Working papers

  1. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Research Discussion Papers 16/2019, Bank of Finland.

    Cited by:

    1. Giacomo Rella, 2021. "The Fed, housing and household debt over time," Department of Economics University of Siena 850, Department of Economics, University of Siena.
    2. Simone Auer & Marco Bernardini & Martina Cecioni, 2019. "Corporate Leverage and Monetary Policy Effectiveness in the Euro Area," 2019 Meeting Papers 1102, Society for Economic Dynamics.
    3. Andrew Keinsley & Sandeep Kumar Rangaraju, 2021. "The Nonlinear Unemployment-Inflation Relationship and the Factors That Define It," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(3), pages 354-377, June.
    4. Rashad Ahmed & Claudio Borio & Piti Disyatat & Boris Hofmann, 2021. "Losing traction? The real effects of monetary policy when interest rates are low," BIS Working Papers 983, Bank for International Settlements.
    5. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
    6. Albertazzi, Ugo & Martin, Alberto & Assouan, Emmanuelle & Tristani, Oreste & Galati, Gabriele & Vlassopoulos, Thomas & Adolf, Petra & Kok, Christoffer & Altavilla, Carlo & Lewis, Vivien & Andreeva, De, 2021. "The role of financial stability considerations in monetary policy and the interaction with macroprudential policy in the euro area," Occasional Paper Series 272, European Central Bank.
    7. Aaron Mehrotra & Jochen Schanz, 2020. "Financial market development and monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), Financial market development, monetary policy and financial stability in emerging market economies, volume 113, pages 1-18, Bank for International Settlements.
    8. Giovanni Pellegrino, 2021. "Uncertainty and monetary policy in the US: A journey into nonlinear territory," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1106-1128, July.
    9. Andrejs Zlobins, 2020. "ZLB and Beyond: Real and Financial Effects of Low and Negative Interest Rates in the Euro Area," Working Papers 2020/06, Latvijas Banka.
    10. Abo-Zaid, Salem & Kamara, Ahmed H., 2020. "Credit Constraints and the Government Spending Multiplier," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).

  2. Granziera, Eleonora & Sekhposyan, Tatevik, 2018. "Predicting relative forecasting performance : An empirical investigation," Research Discussion Papers 23/2018, Bank of Finland.

    Cited by:

    1. Nima Nonejad, 2021. "Crude oil price point forecasts of the Norwegian GDP growth rate," Empirical Economics, Springer, vol. 61(5), pages 2913-2930, November.
    2. Nonejad, Nima, 2021. "Predicting equity premium by conditioning on macroeconomic variables: A prediction selection strategy using the price of crude oil," Finance Research Letters, Elsevier, vol. 41(C).
    3. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    4. Philip Beran & Arne Vogler, 2021. "Multi-Day-Ahead Electricity Price Forecasting: A Comparison of fundamental, econometric and hybrid Models," EWL Working Papers 2102, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Oct 2021.
    5. Dalibor Stevanovic & Stéphane Surprenant & Philippe Goulet Coulombe, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    6. Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating forecast performance with state dependence," Economics Working Papers 1800, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    8. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020. "Predicting bond return predictability," CREATES Research Papers 2020-09, Department of Economics and Business Economics, Aarhus University.

  3. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.

    Cited by:

    1. Mr. Andrea Pescatori & Stefan Laseen, 2016. "Financial Stability and Interest-Rate Policy: A Quantitative Assessment of Costs and Benefits," IMF Working Papers 2016/073, International Monetary Fund.
    2. Paolo Gelain & Kevin J. Lansing & Gisele J. Natvik, 2017. "Leaning Against the Credit Cycle," Working Paper Series 2017-18, Federal Reserve Bank of San Francisco.
    3. Ragna Alstadheim & Ørjan Robstad & Nikka Husom Vonen, 2017. "Financial imbalances, crisis probability and monetary policy in Norway," Working Paper 2017/21, Norges Bank.
    4. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    5. Bruno Albuquerque, 2019. "One Size Fits All? Monetary Policy and Asymmetric Household Debt Cycles in U.S. States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1309-1353, August.
    6. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    7. Boris Hofmann & Gert Peersman, 2017. "Is there a debt service channel of monetary transmission?," BIS Quarterly Review, Bank for International Settlements, December.
    8. Svensson, Lars E O, 2017. "Leaning Against the Wind: Costs and Benefits, Effects on Debt, Leaning in DSGE Models, and a Framework for Comparison of Results," CEPR Discussion Papers 12226, C.E.P.R. Discussion Papers.
    9. Deimantė Teresienė & Greta Keliuotytė-Staniulėnienė & Rasa Kanapickienė, 2021. "Sustainable Economic Growth Support through Credit Transmission Channel and Financial Stability: In the Context of the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(5), pages 1-34, March.
    10. Alpanda, Sami & Zubairy, Sarah, 2017. "Addressing household indebtedness: Monetary, fiscal or macroprudential policy?," European Economic Review, Elsevier, vol. 92(C), pages 47-73.
    11. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Research Discussion Papers 16/2019, Bank of Finland.
    12. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2020. "The effects of quasi-random monetary experiments," Journal of Monetary Economics, Elsevier, vol. 112(C), pages 22-40.
    13. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    14. J. Boeckx & M. de Sola Perea & M. Deroose & G. de Walque & Th. Lejeune & Ch. Van Nieuwenhuyse, 2018. "What will happen when interest rates go up?," Economic Review, National Bank of Belgium, issue iii, pages 35-56, september.
    15. Gabor Katay & Lisa Kerdelhué & Matthieu Lequien, 2020. "Semi-Structural VAR and Unobserved Components Models to Estimate Finance-Neutral Output Gap," Working Papers 2020-11, Joint Research Centre, European Commission.
    16. Lars E.O. Svensson, 2016. "Cost-Benefit Analysis of Leaning Against the Wind," NBER Working Papers 21902, National Bureau of Economic Research, Inc.
    17. Moritz Schularick & Lucas ter Steege & Felix Ward, 2020. "Leaning against the wind and crisis risk," ECONtribute Discussion Papers Series 041, University of Bonn and University of Cologne, Germany.
    18. Trent Saunders & Peter Tulip, 2019. "Cost-benefit Analysis of Leaning against the Wind," RBA Research Discussion Papers rdp2019-05, Reserve Bank of Australia.
    19. Svensson, Lars E. O., 2017. "How robust is the result that the cost of "leaning against the wind" exceeds the benefit?," Working Paper Series 2031, European Central Bank.
    20. Moritz Schularick & Lucas ter Steege & Felix Ward, 2020. "Leaning against the Wind and Crisis Risk," CESifo Working Paper Series 8484, CESifo.
    21. François Gourio & Anil K. Kashyap & Jae W. Sim, 2017. "The Tradeoffs in Leaning Against the Wind," Working Paper Series WP-2017-21, Federal Reserve Bank of Chicago.
    22. Thibaut Duprey & Alexander Ueberfeldt, 2018. "How to Manage Macroeconomic and Financial Stability Risks: A New Framework," Staff Analytical Notes 2018-11, Bank of Canada.
    23. Schüler, Yves S., 2018. "On the cyclical properties of Hamilton's regression filter," Discussion Papers 03/2018, Deutsche Bundesbank.
    24. Grégory Levieuge, 2018. "La politique monétaire doit-elle être utilisée à des fins de stabilité financière ?," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 63-104.
    25. Schüler, Yves S., 2018. "Detrending and financial cycle facts across G7 countries: mind a spurious medium term!," Working Paper Series 2138, European Central Bank.
    26. Svensson, Lars E O, 2017. "How Robust Is the Result That the Cost of "Leaning Against the Wind" Exceeds the Benefit? Response to Adrian and Liang," CEPR Discussion Papers 11744, C.E.P.R. Discussion Papers.
    27. Warapong Wongwachara & Bovonvich Jindarak & Nuwat Nookhwun & Sophon Tunyavetchakit & Chutipha Klungjaturavet, 2018. "Integrating Monetary Policy and Financial Stability: A New Framework," PIER Discussion Papers 100, Puey Ungphakorn Institute for Economic Research.

  4. Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.

    Cited by:

    1. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    2. Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers (Old Series) 1120, Federal Reserve Bank of Cleveland.
    3. Kirstin Hubrich & Frauke Skudelny, 2016. "Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?," Finance and Economics Discussion Series 2016-104, Board of Governors of the Federal Reserve System (U.S.).
    4. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.
    5. Tae-Hwy Lee & He Wang & Zhou Xi & Ru Zhang, 2021. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Working Papers 202115, University of California at Riverside, Department of Economics.
    6. Daniel Borup & Martin Thyrsgaard, 2017. "Statistical tests for equal predictive ability across multiple forecasting methods," CREATES Research Papers 2017-19, Department of Economics and Business Economics, Aarhus University.

  5. Eleonora Granziera & Sharon Kozicki, 2012. "House Price Dynamics: Fundamentals and Expectations," Staff Working Papers 12-12, Bank of Canada.

    Cited by:

    1. Sami Alpanda & Gino Cateau & Césaire Meh, 2014. "A Policy Model to Analyze Macroprudential Regulations and Monetary Policy," Staff Working Papers 14-6, Bank of Canada.
    2. Paolo Gelain & Kevin J. Lansing, 2013. "House prices, expectations, and time-varying fundamentals," Working Paper 2013/05, Norges Bank.
    3. David C. Ling & Joseph T.L. Ooi & Thao T.T. Le, 2015. "Explaining House Price Dynamics: Isolating the Role of Nonfundamentals," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 87-125, March.
    4. Andrew Plantinga & Christopher Severen, 2017. "Land-Use Regulations, Property Values, and Rents: Decomposing the Effects of the California Coastal Act," Working Papers 17-33, Federal Reserve Bank of Philadelphia.
    5. Caterina Mendicino & Sandra Gomes, 2011. "Housing Market Dynamics: Any News?," Working Papers w201121, Banco de Portugal, Economics and Research Department.
    6. Joshua J. Miller & Kevin A. Park, 2018. "Same-sex marriage laws and demand for mortgage credit," Review of Economics of the Household, Springer, vol. 16(2), pages 229-254, June.
    7. Stefano Colonnello & Roberto Marfè & Qizhou Xiong, 2021. "Housing Yields," Working Papers 2021:21, Department of Economics, University of Venice "Ca' Foscari".
    8. Colin C. Caines, 2016. "Can Learning Explain Boom-Bust Cycles In Asset Prices? An Application to the US Housing Boom," International Finance Discussion Papers 1181, Board of Governors of the Federal Reserve System (U.S.).
    9. Luis Armona & Andreas Fuster & Basit Zafar, 2016. "Home price expectations and behavior: evidence from a randomized information experiment," Staff Reports 798, Federal Reserve Bank of New York.
    10. Andrea Nobili & Francesco Zollino, 2012. "A structural model for the housing and credit markets in Italy," Temi di discussione (Economic working papers) 887, Bank of Italy, Economic Research and International Relations Area.
    11. Paolo Gelain & Kevin J. Lansing & Gisele J. Natvik, 2015. "Explaining the Boom-Bust Cycle in the U.S. Housing Market: A Reverse-Engineering Approach," Working Paper Series 2015-2, Federal Reserve Bank of San Francisco.
    12. Alpanda, Sami & Zubairy, Sarah, 2017. "Addressing household indebtedness: Monetary, fiscal or macroprudential policy?," European Economic Review, Elsevier, vol. 92(C), pages 47-73.
    13. Jia, Fei & Shen, Yao & Ren, Junfan & Xu, Xiangyun, 2021. "The impact of offshore exchange rate expectations on onshore exchange rates: The case of Chinese RMB," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    14. Bekiros, Stelios & Nilavongse, Rachatar & Uddin, Gazi Salah, 2020. "Expectation-driven house prices and debt defaults: The effectiveness of monetary and macroprudential policies," Journal of Financial Stability, Elsevier, vol. 49(C).
    15. Allen Head & Huw Lloyd-Ellis, 2016. "Has Canadian house price growth been excessive?," Canadian Journal of Economics, Canadian Economics Association, vol. 49(4), pages 1367-1400, November.
    16. Petre Caraiani & Adrian Cantemir Călin, 2020. "Housing markets, monetary policy, and the international co‐movement of housing bubbles," Review of International Economics, Wiley Blackwell, vol. 28(2), pages 365-375, May.
    17. Alessia Bruzzo & Marco Mazzoli, 2018. "An Empirical Investigation on the European Housing Market Prices," Review of Economics & Finance, Better Advances Press, Canada, vol. 12, pages 29-42, May.
    18. Beatrice D. Simo-Kengne & Rangan Gupta & Goodness C. Aye, 2013. "Macro Shocks And House Prices In South Africa," Working Papers 201302, University of Pretoria, Department of Economics.
    19. Tang, Yang & Zeng, Ting & Zhu, Shenghao, 2020. "Bubbles and house price dispersion in the United States during 1975–2017," Journal of Macroeconomics, Elsevier, vol. 63(C).
    20. Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
    21. Luisa Lambertini & Caterina Mendicino & Maria Teresa Punzi, 2011. "Leaning Against Boom-Bust Cycles in Credit and Housing Prices," Working Papers CELEG 1104, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    22. Paolo Gelain & Kevin J. Lansing & Caterina Mendicino, 2012. "House prices, credit growth, and excess volatility: implications for monetary and macroprudential policy," Working Paper Series 2012-11, Federal Reserve Bank of San Francisco.
    23. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.
    24. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    25. Martin Hodula & Milan Szabo & Lukas Pfeifer & Martin Melecky, 2022. "Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending," Working Papers 2022/3, Czech National Bank.
    26. Zheng, Min & Wang, Hefei & Wang, Chengzhang & Wang, Shouyang, 2017. "Speculative behavior in a housing market: Boom and bust," Economic Modelling, Elsevier, vol. 61(C), pages 50-64.
    27. Pauline Gandré, 2020. "Learning, house prices and macro-financial linkages," EconomiX Working Papers 2020-10, University of Paris Nanterre, EconomiX.
    28. Philipp an de Meulen & Martin Micheli & Torsten Schmidt, 2014. "Forecasting real estate prices in Germany: the role of consumer confidence," Journal of Property Research, Taylor & Francis Journals, vol. 31(3), pages 244-263, September.
    29. Hu, Lirong & He, Shenjing & Han, Zixuan & Xiao, He & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2019. "Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies," Land Use Policy, Elsevier, vol. 82(C), pages 657-673.
    30. Nico Valckx & Mr. Sohaib Shahid & Mitsuru Katagiri & Andrea Deghi, 2020. "Predicting Downside Risks to House Prices and Macro-Financial Stability," IMF Working Papers 2020/011, International Monetary Fund.

  6. Eleonara Granziera & Mihye Lee & Hyungsik Roger Moon & Frank Schorfheide, 2011. "Inference for VARs identified with sign restrictions," Working Papers 11-20, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Breitenlechner, Max & Nuutilainen, Riikka, 2019. "China's monetary policy and the loan market : How strong is the credit channel in China?," BOFIT Discussion Papers 15/2019, Bank of Finland, Institute for Economies in Transition.
    2. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identi?ed SVARs," CeMMAP working papers CWP45/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Mayer, Eric & Rüth, Sebastian & Scharler, Johann, 2016. "Total factor productivity and the propagation of shocks: Empirical evidence and implications for the business cycle," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 335-346.
    4. Klug, Thorsten & Mayer, Eric & Schuler, Tobias, 2021. "The corporate saving glut and the current account in Germany," Working Paper Series 2586, European Central Bank.
    5. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    6. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    7. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2014. "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," Dynare Working Papers 30, CEPREMAP.
    8. Bicu, A.C. & Lieb, L.M., 2015. "Cross-border effects of fiscal policy in the Eurozone," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    10. Hyunseung Oh & Nicolas Crouzet, 2013. "Can news shocks account for the business-cycle dynamics of inventories?," 2013 Meeting Papers 504, Society for Economic Dynamics.
    11. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2013. "Identification-robust analysis of DSGE and structural macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 340-350.
    12. Pooyan Amir Ahmadi & Harald Uhlig, 2015. "Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks," NBER Working Papers 21738, National Bureau of Economic Research, Inc.
    13. Andrea Carriero & Alessio Volpicella, 2022. "Identification through the Forecast Error Variance Decomposition: an Application to Uncertainty," School of Economics Discussion Papers 0322, School of Economics, University of Surrey.
    14. Kilian, Lutz & Murphy, Daniel P, 2009. "Why Agnostic Sign Restrictions Are Not Enough: Understanding the Dynamics of Oil Market VAR Models," CEPR Discussion Papers 7471, C.E.P.R. Discussion Papers.
    15. Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    16. Sergio Ocampo & Norberto Rodríguez, 2011. "An Introductory Review of a Structural VAR-X Estimation and Applications," Borradores de Economia 686, Banco de la Republica de Colombia.
    17. Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
    18. Gerald A. Carlino & Thorsten Drautzburg, 2017. "The Role of Startups for Local Labor Markets," Working Papers 17-31, Federal Reserve Bank of Philadelphia.
    19. Pooyan Amir‐Ahmadi & Christian Matthes & Mu‐Chun Wang, 2016. "Drifts and volatilities under measurement error: Assessing monetary policy shocks over the last century," Quantitative Economics, Econometric Society, vol. 7(2), pages 591-611, July.
    20. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    21. Sam Ouliaris & Adrian Pagan, 2022. "Three Basic Issues that Arise when Using Informational Restrictions in SVARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 1-20, February.
    22. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
    23. Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
    24. James H. Stock, 2010. "The Other Transformation in Econometric Practice: Robust Tools for Inference," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 83-94, Spring.
    25. Fischer, Andreas M & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, C.E.P.R. Discussion Papers.
    26. Pooyan Amir-Ahmadi & Thorsten Drautzburg, 2017. "Identification through Heterogeneity," CESifo Working Paper Series 6359, CESifo.
    27. Matthew Read, 2021. "Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions," Papers 2109.10676, arXiv.org, revised Jan 2022.
    28. Danne, Christian, 2015. "VARsignR: Estimating VARs using sign restrictions in R," MPRA Paper 68429, University Library of Munich, Germany.
    29. Pooyan Amir-Ahmadi & Gustavo S. Cortes & Marc D. Weidenmier, 2020. "Regional Monetary Policies and the Great Depression," NBER Working Papers 26695, National Bureau of Economic Research, Inc.
    30. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2020. "Testing the effectiveness of unconventional monetary policy in Japan and the United States," Papers 2012.15158, arXiv.org, revised May 2021.
    32. Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
    33. Atsushi Inoue & Lutz Kilian, 2019. "The Uniform Validity of Impulse Response Inference in Autoregressions," Working Papers 1908, Federal Reserve Bank of Dallas.
    34. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.
    35. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    36. Pérez-Forero, Fernando & Vega, Marco, 2014. "The Dynamic Effects of Interest Rates and Reserve Requirements," Working Papers 2014-018, Banco Central de Reserva del Perú.
    37. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
    38. Liudas Giraitis & George Kapetanios & Konstantinos Theodoridis & Tony Yates, 2015. "Estimating Time-Varying DSGE Models Using Minimum Distance Methods," Working Papers 768, Queen Mary University of London, School of Economics and Finance.
    39. Njindan Iyke, Bernard, 2015. "Assessing the Effects of Housing Market Shocks on Output: The Case of South Africa," MPRA Paper 69610, University Library of Munich, Germany, revised 01 Feb 2016.
    40. Rüth, Sebastian & Mayer, Eric & Scharler, Johann, 2014. "TFP and the Transmission of Shocks," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100549, Verein für Socialpolitik / German Economic Association.
    41. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
    42. Keating, John W., 2013. "What do we learn from Blanchard and Quah decompositions of output if aggregate demand may not be long-run neutral?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 203-217.
    43. Pooyan Amir‐Ahmadi & Thorsten Drautzburg, 2021. "Identification and inference with ranking restrictions," Quantitative Economics, Econometric Society, vol. 12(1), pages 1-39, January.
    44. Breitenlechner, Max & Scharler, Johann, 2017. "Decomposing the U.S. Great Depression: How important were Loan Supply Shocks?," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168208, Verein für Socialpolitik / German Economic Association.
    45. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    46. John W. Keating, 2013. "What Do We Learn from Blanchard and Quah Decompositions If Aggregate Demand May Not be Long-Run Neutral?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201302, University of Kansas, Department of Economics.

Articles

  1. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    See citations under working paper version above.
  2. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Inference for VARs identified with sign restrictions," Quantitative Economics, Econometric Society, vol. 9(3), pages 1087-1121, November.
    See citations under working paper version above.
  3. Gregory H. Bauer & Eleonora Granziera, 2017. "Monetary Policy, Private Debt, and Financial Stability Risks," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 337-373, September.
    See citations under working paper version above.
  4. Granziera, Eleonora & Kozicki, Sharon, 2015. "House price dynamics: Fundamentals and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 152-165.
    See citations under working paper version above.
  5. Granziera, Eleonora & Hubrich, Kirstin & Moon, Hyungsik Roger, 2014. "A predictability test for a small number of nested models," Journal of Econometrics, Elsevier, vol. 182(1), pages 174-185.
    See citations under working paper version above.
  6. Eleonora Granziera & Corinne Luu & Pierre St-Amant, 2013. "The Accuracy of Short-Term Forecast Combinations," Bank of Canada Review, Bank of Canada, vol. 2013(Summer), pages 13-21.

    Cited by:

    1. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    2. Maxime Leboeuf & Louis Morel, 2014. "Forecasting Short-Term Real GDP Growth in the Euro Area and Japan Using Unrestricted MIDAS Regressions," Discussion Papers 14-3, Bank of Canada.
    3. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
    4. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    5. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MAC: Macroeconomics (4) 2012-05-22 2017-01-01 2017-10-08 2019-09-16
  2. NEP-CBA: Central Banking (2) 2017-01-01 2019-09-16
  3. NEP-ECM: Econometrics (2) 2011-06-18 2013-09-24
  4. NEP-ETS: Econometric Time Series (2) 2011-06-18 2017-10-08
  5. NEP-FOR: Forecasting (2) 2013-09-24 2018-11-12
  6. NEP-MON: Monetary Economics (2) 2017-01-01 2019-09-16
  7. NEP-DGE: Dynamic General Equilibrium (1) 2012-05-22
  8. NEP-FDG: Financial Development & Growth (1) 2017-01-01
  9. NEP-URE: Urban & Real Estate Economics (1) 2012-05-22

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