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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
http://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. 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.
    2. 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. Dalibor Stevanovic & Stéphane Surprenant & Philippe Goulet Coulombe, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    2. 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.
    3. 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. 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.
    2. 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.
    3. 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.
    4. Trent Saunders & Peter Tulip, 2019. "Cost-benefit Analysis of Leaning against the Wind," RBA Research Discussion Papers rdp2019-05, Reserve Bank of Australia.
    5. Ragna Alstadheim & Ørjan Robstad & Nikka Husom Vonen, 2017. "Financial imbalances, crisis probability and monetary policy in Norway," Working Paper 2017/21, Norges Bank.
    6. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    7. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Working Paper 2019/21, Norges Bank.
    8. 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.
    9. 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).
    10. 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.
    11. Moritz Schularick & Lucas ter Steege & Felix Ward, 2020. "Leaning against the Wind and Crisis Risk," CESifo Working Paper Series 8484, CESifo.
    12. Francois 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.
    13. Boris Hofmann & Gert Peersman, 2017. "Is there a debt service channel of monetary transmission?," BIS Quarterly Review, Bank for International Settlements, December.
    14. 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, Open Access Journal, vol. 13(5), pages 1-34, March.
    15. Alpanda, Sami & Zubairy, Sarah, 2017. "Addressing household indebtedness: Monetary, fiscal or macroprudential policy?," European Economic Review, Elsevier, vol. 92(C), pages 47-73.
    16. Thibaut Duprey & Alexander Ueberfeldt, 2018. "How to Manage Macroeconomic and Financial Stability Risks: A New Framework," Staff Analytical Notes 2018-11, Bank of Canada.
    17. Kátay Gábor & Kerdelhué Lisa & Lequien Matthieu, 2020. "Semi-Structural VAR and Unobserved Components Models to Estimate Finance-Neutral Output Gap," Working papers 791, Banque de France.
    18. Jord�, �scar & Schularick, Moritz & Taylor, Alan M., 2017. "The effects of quasi-random monetary experiments," CEPR Discussion Papers 11801, C.E.P.R. Discussion Papers.
    19. Schüler, Yves S., 2018. "On the cyclical properties of Hamilton's regression filter," Discussion Papers 03/2018, Deutsche Bundesbank.
    20. Svensson, Lars E O, 2017. "Cost-Benefit Analysis of Leaning Against the Wind," CEPR Discussion Papers 11739, C.E.P.R. Discussion Papers.
    21. 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, Open Access Journal, vol. 12(10), pages 1-15, May.
    22. Schüler, Yves S., 2018. "Detrending and financial cycle facts across G7 countries: mind a spurious medium term!," Working Paper Series 2138, European Central Bank.
    23. 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.
    24. 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.
    25. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2017. "Large and State-Dependent Effects of Quasi-Random Monetary Experiments," Working Paper Series 2017-2, Federal Reserve Bank of San Francisco.
    26. 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, revised Dec 2018.

  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. Clark, Todd & McCracken, Michael, 2013. "Advances in Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1107-1201, Elsevier.
    3. Hubrich, Kirstin & Skudelny, Frauke, 2016. "Forecast combination for euro area inflation: a cure in times of crisis?," Working Paper Series 1972, European Central Bank.
    4. 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. 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. 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. Luisa Lambertini & Caterina Mendicino & Maria Teresa Punzi, 2011. "Leaning Against Boom-Bust Cycles in Credit and Housing Prices," Working Papers 201101, Center for Fiscal Policy, Swiss Federal Institute of Technology Lausanne, revised Mar 2011.
    4. 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.
    5. 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.
    6. Caterina Mendicino & Sandra Gomes, 2011. "Housing Market Dynamics: Any News?," Working Papers w201121, Banco de Portugal, Economics and Research Department.
    7. 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.
    8. 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.
    9. Nobili, Andrea & Zollino, Francesco, 2017. "A structural model for the housing and credit market in Italy," Journal of Housing Economics, Elsevier, vol. 36(C), pages 73-87.
    10. Colin 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.).
    11. Paolo Gelain & Kevin J. Lansing & Gisle J. Natvik, 2018. "Explaining the Boom–Bust Cycle in the U.S. Housing Market: A Reverse‐Engineering Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1751-1783, December.
    12. 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.
    13. 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.
    14. Alpanda, Sami & Zubairy, Sarah, 2017. "Addressing household indebtedness: Monetary, fiscal or macroprudential policy?," European Economic Review, Elsevier, vol. 92(C), pages 47-73.
    15. 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).
    16. 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).
    17. 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.
    18. 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.
    19. Pauline Gandré, 2020. "Learning, house prices and macro-financial linkages," EconomiX Working Papers 2020-10, University of Paris Nanterre, EconomiX.
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. 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. Fischer, Andreas M. & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," Journal of International Money and Finance, Elsevier, vol. 113(C).
    4. 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.
    5. Thorsten Drautzburg & Pooyan Amir-Ahmadi, 2017. "Identification through Heterogeneity," 2017 Meeting Papers 1087, Society for Economic Dynamics.
    6. Crouzet, Nicolas & Oh, Hyunseung, 2016. "What do inventories tell us about news-driven business cycles?," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 49-66.
    7. 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.
    8. 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.
    9. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2020. "Testing the Effectiveness of Unconventional Monetary Policy in Japan and the United States," IMES Discussion Paper Series 20-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    10. 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.
    11. 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).
    12. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R2, Cowles Foundation for Research in Economics, Yale University, revised Sep 2015.
    13. 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.
    14. 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.
    15. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984, Cowles Foundation for Research in Economics, Yale University.
    16. Atsushi Inoue & Lutz Kilian, 2013. "Inference on Impulse Response Functions in Structural VAR Models," DSSR Discussion Papers 11, Graduate School of Economics and Management, Tohoku University.
    17. 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.
    18. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R5, Cowles Foundation for Research in Economics, Yale University, revised Nov 2016.
    19. 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.
    20. 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.
    21. 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.
    22. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
    23. 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.
    24. Gerald A. Carlino & Thorsten Drautzburg, 2017. "The Role of Startups for Local Labor Markets," Working Papers 17-31, Federal Reserve Bank of Philadelphia.
    25. 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.
    26. 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.
    27. Giacomini, Raffaella & Kitagawa, Toru, 2014. "Inference about Non-Identified SVARs," CEPR Discussion Papers 10287, C.E.P.R. Discussion Papers.
    28. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R4, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
    29. Helmut Lütkepohl & Aleksei NetŠunajev, 2014. "Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
    30. Atsushi Inoue & Lutz Kilian, 2019. "The uniform validity of impulse response inference in autoregressions," Vanderbilt University Department of Economics Working Papers 19-00001, Vanderbilt University Department of Economics.
    31. 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.
    32. Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
    33. 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.
    34. Danne, Christian, 2015. "VARsignR: Estimating VARs using sign restrictions in R," MPRA Paper 68429, University Library of Munich, Germany.
    35. 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.
    36. Giraitis, Liudas & Kapetanios, George & Theodoridis, Konstantinos & Yates, Tony, 2014. "Estimating time-varying DSGE models using minimum distance methods," Bank of England working papers 507, Bank of England.
    37. 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.
    38. 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.
    39. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R3, Cowles Foundation for Research in Economics, Yale University, revised Oct 2015.
    40. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    41. 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.
    42. 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.
    43. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
    44. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2017. "Uncertain identification," CeMMAP working papers CWP18/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    45. 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.

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. 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.).
    2. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    4. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
    5. 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.

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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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