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Citations for "Does information help recovering structural shocks from past observations?"

by Domenico Giannone & Lucrezia Reichlin

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  1. Alho, Kari O.E. & Nikula, Nuutti, 2006. "Productivity, Empoyment and Taxes - Evidence on the Potential Trade-offs and Impacts in the EU," Discussion Papers 1054, The Research Institute of the Finnish Economy.
  2. Kilian, Lutz & Lee, Thomas K., 2014. "Quantifying the speculative component in the real price of oil: The role of global oil inventories," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 71-87.
  3. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
  4. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
  5. Jarociński, Marek & Maćkowiak, Bartosz, 2013. "Granger-causal-priority and choice of variables in vector autoregressions," Working Paper Series 1600, European Central Bank.
  6. Giovanni Caggiano & Efrem Castelnuovo & Valentina Colombo & Gabriela Nodari, 2015. "Estimating Fiscal Multipliers: News From A Non‐linear World," Economic Journal, Royal Economic Society, vol. 0(584), pages 746-776, 05.
  7. Forni, Mario & Gambetti, Luca & Lippi, Marco & Sala, Luca, 2013. "Noisy News in Business cycles," CEPR Discussion Papers 9601, C.E.P.R. Discussion Papers.
  8. Alfred A. Haug & Tomasz Jedrzejowicz & Anna Sznajderska, 2013. "Combining Monetary and Fiscal Policy in an SVAR for a Small Open Economy," Working Papers 1313, University of Otago, Department of Economics, revised Oct 2013.
  9. Monti, Francesca, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Bank of England working papers 527, Bank of England.
  10. Luciana Juvenal & Ivan Petrella, 2015. "Speculation in the Oil Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 621-649, 06.
  11. Marco M. Sorge, 2013. "On the Fundamentalness of Nonfundamentalness in DSGE Models," CSEF Working Papers 340, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  12. Luca GATTINI & Paul HIEBERT, "undated". "Forecasting and Assessing Euro Area House Prices Through the Lens of Key Fundamentals," EcoMod2010 259600061, EcoMod.
  13. Alexei Onatski & Francisco Ruge‐Murcia, 2013. "Factor Analysis Of A Large Dsge Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 903-928, 09.
  14. Alfred A. Haug & Christie Smith, 2012. "Local Linear Impulse Responses for a Small Open Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(3), pages 470-492, 06.
  15. Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
  16. Christiane Baumeister & Lutz Kilian, 2014. "Real-Time Analysis of Oil Price Risks Using Forecast Scenarios," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 62(1), pages 119-145, April.
  17. Canova, Fabio & Hamidi Sahneh, Mehdi, 2016. "Are small scale VARs useful for business cycle analysis? Revisiting Non-Fundamentalness," CEPR Discussion Papers 11041, C.E.P.R. Discussion Papers.
  18. Forni, Mario & Gambetti, Luca & Lippi, Marco & Sala, Luca, 2013. "Noise Bubbles," CEPR Discussion Papers 9532, C.E.P.R. Discussion Papers.
  19. Georgiadis, Georgios, 2015. "To bi, or not to bi? Differences in spillover estimates from bilateral and multilateral multi-country models," Working Paper Series 1868, European Central Bank.
  20. Mario Forni & Luca Gambetti & Luca Sala, 2016. "VAR Information and the Empirical Validation of DSGE Models," Center for Economic Research (RECent) 119, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
  21. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2008. "Explaining The Great Moderation: It Is Not The Shocks," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 621-633, 04-05.
  22. Stefan Laseen & Marzie Taheri Sanjani, 2016. "Did the Global Financial Crisis Break the U.S. Phillips Curve?," IMF Working Papers 16/126, .
  23. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009. "Opening The Black Box: Structural Factor Models With Large Cross Sections," Econometric Theory, Cambridge University Press, vol. 25(05), pages 1319-1347, October.
  24. Bassam Fattouh, Lutz Kilian, and Lavan Mahadeva, 2013. "The Role of Speculation in Oil Markets: What Have We Learned So Far?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
  25. Virkola, Tuomo, 2014. "Exchange Rate Regime, Fiscal Foresight and the Effectiveness of Fiscal Policy in a Small Open Economy," ETLA Reports 20, The Research Institute of the Finnish Economy.
  26. Helmut Lütkepohl, 2012. "Fundamental Problems with Nonfundamental Shocks," Discussion Papers of DIW Berlin 1230, DIW Berlin, German Institute for Economic Research.
  27. Adina Popescu & Alina Carare, 2011. "Monetary Policy and Risk-Premium Shocks in Hungary; Results from a Large Bayesian VAR," IMF Working Papers 11/259, .
  28. Born, Benjamin & Juessen, Falko & Müller, Gernot J., 2013. "Exchange rate regimes and fiscal multipliers," Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 446-465.
  29. Lanne, Markku & Saikkonen, Pentti, 2013. "Noncausal Vector Autoregression," Econometric Theory, Cambridge University Press, vol. 29(03), pages 447-481, June.
  30. Dario Caldara & Christophe Kamps, 2012. "The analytics of SVARs: a unified framework to measure fiscal multipliers," Finance and Economics Discussion Series 2012-20, Board of Governors of the Federal Reserve System (U.S.).
  31. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2014. "Noise Bubbles," Working Papers 532, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  32. Georgios Georgiadis, 2016. "To bi, or not to bi? Differences in Spillover Estimates from Bilateral and Multilateral Multi-country Models," EcoMod2016 9145, EcoMod.
  33. William T. Gavin & Kevin L. Kliesen, 2008. "Forecasting inflation and output: comparing data-rich models with simple rules," Review, Federal Reserve Bank of St. Louis, issue May, pages 175-192.
  34. Christiane Baumeister & Lutz Kilian, 2011. "Real-Time Forecasts of the Real Price of Oil," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 326-336, September.
  35. Ricco, Giovanni & Ellahie, Atif, 2012. "Government Spending Reloaded: Fundamentalness and Heterogeneity in Fiscal SVARs," MPRA Paper 42105, University Library of Munich, Germany.
  36. Mario Forni & Luca Gambetti, 2011. "Testing for Sufficient Information in Structural VARs," Working Papers 536, Barcelona Graduate School of Economics.
  37. Gregor Bäurle, 2008. "Priors from DSGE Models for Dynamic Factor Analysis," Diskussionsschriften dp0803, Universitaet Bern, Departement Volkswirtschaft.
  38. Ray Barrell & Sylvia Gottschalk & Dawn Holland & Ehsan Khoman & Iana Liadze & Olga Pomerantz, 2008. "The impact of EMU on growth and employment," European Economy - Economic Papers 2008 - 2015 318, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  39. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
  40. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2007. "A Review of Nonfundamentalness and Identification in Structural VAR Models," LEM Papers Series 2007/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  41. Elmar Mertens, 2008. "Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs?," Working Papers 08.01, Swiss National Bank, Study Center Gerzensee.
  42. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
  43. Hamidi Sahneh, Mehdi, 2015. "Are the shocks obtained from SVAR fundamental?," MPRA Paper 65126, University Library of Munich, Germany.
  44. Alho, Kari & Nikula, Nuutti, 2007. "Productivity, Employment and Taxes - A SVAR Analysis of Trade-offs and Impacts," Discussion Papers 1074, The Research Institute of the Finnish Economy.
  45. Karel Mertens & MortenO. Ravn, 2010. "Measuring the Impact of Fiscal Policy in the Face of Anticipation: A Structural VAR Approach," Economic Journal, Royal Economic Society, vol. 120(544), pages 393-413, 05.
  46. Fabio Canova, 2016. "Are Small-Scale SVARs Useful for Business Cycle Analysis? Revisiting Non-Fundamentalness," Working Papers 0042, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  47. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters, in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554 Edward Elgar Publishing.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.