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Daniel F. Waggoner

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Daniel F. Waggoner & Tao Zha, 1998. "Conditional forecasts in dynamic multivariate models," FRB Atlanta Working Paper 98-22, Federal Reserve Bank of Atlanta.

    Mentioned in:

    1. Prior elicitation in dynamic models
      by Andrew in Statistical Modeling, Causal Inference, and Social Science on 2008-09-06 21:08:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.

    Mentioned in:

    1. > Econometrics > Forecasting

Working papers

  1. Kaiji Chen & Haoyu Gao & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2020. "Monetary Stimulus amid the Infrastructure Investment Spree: Evidence from China's Loan-Level Data," FRB Atlanta Working Paper 2020-16, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Das, Sonali & Song, Wenting, 2023. "Monetary policy transmission and policy coordination in China," China Economic Review, Elsevier, vol. 82(C).
    2. Deng, Jiapin & Liu, Qiao, 2024. "Good finance, bad finance, and resource misallocation: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 159(C).

  2. Jonas E. Arias & Juan F. Rubio-Ramírez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 2018-13, FEDEA.

    Cited by:

    1. Drautzburg, Thorsten & Fernández-Villaverde, Jesús & Guerrón-Quintana, Pablo, 2021. "Bargaining shocks and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    2. Emanuele Bacchiocchi & Toru Kitagawa, 2021. "A note on global identi?cation in structural vector autoregressions," CeMMAP working papers CWP03/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Max Breitenlechner & Georgios Georgiadis & Ben Schumann, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," GRU Working Paper Series GRU_2021_003, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    4. Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, Queen Mary University of London, School of Economics and Finance.
    5. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    6. Yang, Yang & Tang, Yanling & Cheng, Kai, 2023. "Spillback effects of US unconventional monetary policy," Finance Research Letters, Elsevier, vol. 53(C).
    7. Lutz Kilian, 2023. "How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises," Working Papers 2310, Federal Reserve Bank of Dallas.
    8. Hacioglu Hoke, Sinem, 2019. "Macroeconomic effects of political risk shocks," Bank of England working papers 841, Bank of England.
    9. Marco Bernardini & Antonio M. Conti, 2023. "Announcement and implementation effects of central bank asset purchases," Temi di discussione (Economic working papers) 1435, Bank of Italy, Economic Research and International Relations Area.
    10. Georgiadis, Georgios & Müller, Gernot J. & Schumann, Ben, 2021. "Global risk and the dollar," Working Paper Series 2628, European Central Bank.
    11. Agrippino, Silvia Miranda & Ricco, Giovanni, 2022. "Identification with external instruments in structural VARs," Bank of England working papers 973, Bank of England.
    12. Yong, Chen & Dingming, Liu, 2019. "How does government spending news affect interest rates? Evidence from the United States," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    13. Gazzani, Andrea & Venditti, Fabrizio & Veronese, Giovanni, 2024. "Oil price shocks in real time," Journal of Monetary Economics, Elsevier, vol. 144(C).
    14. Lhuissier Stéphane & Nguyen Benoît, 2021. "The Dynamic Effects of the ECB’s Asset Purchases: a Survey-Based Identification," Working papers 806, Banque de France.
    15. Angelini, Giovanni & Cavaliere, Giuseppe & Fanelli, Luca, 2024. "An identification and testing strategy for proxy-SVARs with weak proxies," Journal of Econometrics, Elsevier, vol. 238(2).
    16. Nelimarkka, Jaakko & Laine, Olli-Matti, 2021. "The effects of the ECB's pandemic-related monetary policy measures," BoF Economics Review 4/2021, Bank of Finland.
    17. Martin Bruns & Helmut Luetkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," University of East Anglia School of Economics Working Paper Series 2022-02, School of Economics, University of East Anglia, Norwich, UK..
    18. Gökhan Ider & Alexander Kriwoluzky & Frederik Kurcz & Ben Schumann, 2023. "The Energy-Price Channel of (European) Monetary Policy," Discussion Papers of DIW Berlin 2033, DIW Berlin, German Institute for Economic Research.
    19. 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..
    20. Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Identification with external instruments in structural VARs under partial invertibility," Sciences Po publications 24, Sciences Po.
    21. Fengler, Matthias & Polivka, Jeannine, 2021. "Identifying structural shocks to volatility through a proxy-MGARCH model," Economics Working Paper Series 2103, University of St. Gallen, School of Economics and Political Science, revised May 2021.
    22. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2019. "Identification with External Instruments in Structural VARs under Partial Invertibility," The Warwick Economics Research Paper Series (TWERPS) 1213, University of Warwick, Department of Economics.
    23. Kortela, Tomi & Nelimarkka, Jaakko, 2020. "The effects of conventional and unconventional monetary policy: Identification through the yield curve," Bank of Finland Research Discussion Papers 3/2020, Bank of Finland.
    24. Sascha A. Keweloh & Mathias Klein & Jan Pruser, 2023. "Estimating Fiscal Multipliers by Combining Statistical Identification with Potentially Endogenous Proxies," Papers 2302.13066, arXiv.org, revised May 2024.
    25. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    26. Georgios Georgiadis & Gernot J. Müller & Ben Schumann, 2023. "Dollar Trinity and the Global Financial Cycle," Discussion Papers of DIW Berlin 2058, DIW Berlin, German Institute for Economic Research.
    27. von Schweinitz, Gregor, 2023. "The importance of credit demand for business cycle dynamics," IWH Discussion Papers 21/2023, Halle Institute for Economic Research (IWH).
    28. Bruns, Martin, 2021. "Proxy Vector Autoregressions in a Data-rich Environment," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).

  3. Kaiji Chen & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2016. "Impacts of Monetary Stimulus on Credit Allocation and Macroeconomy: Evidence from China," FRB Atlanta Working Paper 2016-9, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Tianye Lin & Yangyang Ji & Sen Zhang, 2020. "Real Estate, Interest Rates, and Crowding-out Effects," CEMA Working Papers 613, China Economics and Management Academy, Central University of Finance and Economics.
    2. Hsiao, Cody Yu-Ling & Jin, Tao & Kwok, Simon & Wang, Xi & Zheng, Xin, 2023. "Entrepreneurial risk shocks and financial acceleration asymmetry in a two-country DSGE model," China Economic Review, Elsevier, vol. 81(C).
    3. Fu, Buben & Wang, Bin, 2020. "The transition of China's monetary policy regime: Before and after the four trillion RMB stimulus," Economic Modelling, Elsevier, vol. 89(C), pages 273-303.
    4. Lhuissier, Stéphane, 2017. "Financial intermediaries’ instability and euro area macroeconomic dynamics," European Economic Review, Elsevier, vol. 98(C), pages 49-72.
    5. Xiaochen Fu, 2021. "Firm Funding and Investment under Bank Credit Control Policy: Evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(4), pages 1-5.
    6. Jin, Tao & Kwok, Simon & Zheng, Xin, 2022. "Financial wealth, investment, and confidence in a DSGE model for China," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 114-134.
    7. Min Zhang & Yahong Zhang, 2020. "Monetary Stimulus Policy in China: the Bank Credit Channel," Working Papers 2001, University of Windsor, Department of Economics.
    8. Patrick Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," NBER Working Papers 22402, National Bureau of Economic Research, Inc.
    9. Qiuyi Yang & Youze Lang & Changsheng Xu, 2018. "Is the High Interest Rate Combined with Intense Deleveraging Campaign Desirable? A Collateral Mechanism under Stringent Credit Constraints," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    10. Makram El-Shagi & Lunan Jiang, 2017. "China Monetary Policy Transmission in China: Dual Shocks with Dual Bond Markets," CFDS Discussion Paper Series 2017/2, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    11. Kaihua Deng & Dun Jia, 2018. "Backtesting Stress Tests: A Guide for M2 Forward Guidance," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 443-471, November.
    12. Zheng Liu & Mark M. Spiegel & Jingyi Zhang, 2020. "Optimal Capital Account Liberalization in China," Working Paper Series 2018-10, Federal Reserve Bank of San Francisco.
    13. Kaiji Chen & Haoyu Gao & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2020. "Monetary Stimulus amid the Infrastructure Investment Spree: Evidence from China's Loan-Level Data," FRB Atlanta Working Paper 2020-16, Federal Reserve Bank of Atlanta.
    14. Chang, Chun & Liu, Zheng & Spiegel, Mark M. & Zhang, Jingyi, 2019. "Reserve requirements and optimal Chinese stabilization policy," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 33-51.
    15. Kaiji Chen & Tao Zha, 2018. "Macroeconomic Effects of China's Financial Policies," NBER Working Papers 25222, National Bureau of Economic Research, Inc.
    16. Cai, Yue, 2021. "Expansionary monetary policy and credit allocation: Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    17. Wang, Bin, 2019. "Measuring the natural rate of interest of China: A time varying perspective," Economics Letters, Elsevier, vol. 176(C), pages 117-120.

  4. Chun Chang & Kaiji Chen & Daniel F. Waggoner & Tao Zha, 2015. "Trends and cycles in China's macroeconomy," FRB Atlanta Working Paper 2015-5, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Kjetil Storesletten & Bo Zhao & Fabrizio Zilibotti, 2019. "Business Cycle during Structural Change: Arthur Lewis' Theory from a Neoclassical Perspective," NBER Working Papers 26181, National Bureau of Economic Research, Inc.
    2. Bai, Chong-En & Liu, Qing & Yao, Wen, 2020. "Earnings inequality and China's preferential lending policy," Journal of Development Economics, Elsevier, vol. 145(C).
    3. Tianye Lin & Yangyang Ji & Sen Zhang, 2020. "Real Estate, Interest Rates, and Crowding-out Effects," CEMA Working Papers 613, China Economics and Management Academy, Central University of Finance and Economics.
    4. Huixin Bi & Yongquan Cao & Wei Dong, 2018. "Non-Performing Loans, Fiscal Costs and Credit Expansion in China," Staff Working Papers 18-53, Bank of Canada.
    5. Liu, Ding & Zhang, Yue & Sun, Weihong, 2020. "Commitment or discretion? An empirical investigation of monetary policy preferences in China," Economic Modelling, Elsevier, vol. 85(C), pages 409-419.
    6. Li, Cong & Liu, Jiaxuan & Zhou, Yunxu & Yang, Benshuo & Sun, Jiawen, 2024. "Can green credit policy alleviate inefficient investment of heavily polluting enterprises? A quasi-natural experiment based on the Green Credit Guidelines," Finance Research Letters, Elsevier, vol. 59(C).
    7. Luo, Yuwei & Mei, Dongzhou, 2023. "The shortage of safe assets and China's housing boom," Economic Modelling, Elsevier, vol. 119(C).
    8. Yang, Liu & van Wijnbergen, S. & Qi, Xiaotong & Yi, Yuhuan, 2019. "Chinese shadow banking, financial regulation and effectiveness of monetary policy," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    9. Ran, Gao & Zixiang, Zhu & Jianhao, Lin, 2022. "Consumption–investment comovement and the dynamic impact of monetary policy uncertainty in China," Economic Modelling, Elsevier, vol. 113(C).
    10. Tamas Z. Csabafi & Max Gillman & Ruthira Naraidoo, 2019. "International Business Cycle and Financial Intermediation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(8), pages 2293-2303, December.
    11. Fu, Buben & Wang, Bin, 2020. "The transition of China's monetary policy regime: Before and after the four trillion RMB stimulus," Economic Modelling, Elsevier, vol. 89(C), pages 273-303.
    12. Bowen Zheng & Mengjie Zhang & Xuefang Zhang, 2022. "The rise of market power and firms' investment: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4807-4830, December.
    13. Steven Lugauer & Jinlan Ni & Zhichao Yin, 2014. "Micro-Data Evidence on Family Size and Chinese Saving Rates," Working Papers 023, University of Notre Dame, Department of Economics, revised Jun 2014.
    14. Yin Germaschewski, 2022. "House price, credit supply, and government policy in China," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(2), pages 971-1026, May.
    15. Ben Zeev, Nadav, 2017. "Capital controls as shock absorbers," Journal of International Economics, Elsevier, vol. 109(C), pages 43-67.
    16. Patrick Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," NBER Working Papers 22402, National Bureau of Economic Research, Inc.
    17. Huang, Yun & Luk, Paul, 2020. "Measuring economic policy uncertainty in China," China Economic Review, Elsevier, vol. 59(C).
    18. Michael Dotsey & Wenli Li & Fang Yang, 2019. "Demographic Aging, Industrial Policy, and Chinese Economic Growth," Working Papers 2019-030, Human Capital and Economic Opportunity Working Group.
    19. José R. Sánchez-Fung, 2016. "Reviewing Trade Policy in China During the Transition to Balanced Economic Growth," The World Economy, Wiley Blackwell, vol. 39(12), pages 1934-1946, December.
    20. Shuonan Zhang, 2020. "State-owned enterprises and entrusted lending: A DSGE analysis for growth and business cycles in China," Working Papers in Economics & Finance 2020-01, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    21. Òscar Jordà & Fernanda Nechio, 2020. "Inflation Globally," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 8, pages 269-316, Central Bank of Chile.
    22. Clark, Robyn & Reed, James & Sunderland, Terry, 2018. "Bridging funding gaps for climate and sustainable development: Pitfalls, progress and potential of private finance," Land Use Policy, Elsevier, vol. 71(C), pages 335-346.
    23. Ben Zeev, Nadav, 2019. "Global credit supply shocks and exchange rate regimes," Journal of International Economics, Elsevier, vol. 116(C), pages 1-32.
    24. Gu, Yanwei & Guo, Jing & Liang, Xiao & Zhao, Yajun, 2022. "Does the debt-growth link differ across private and public debt? Evidence from China," Economic Modelling, Elsevier, vol. 114(C).
    25. İmrohoroğlu, Ayşe & Zhao, Kai, 2018. "The chinese saving rate: Long-term care risks, family insurance, and demographics," Journal of Monetary Economics, Elsevier, vol. 96(C), pages 33-52.
    26. King Yoong Lim & Pengfei Jia, 2018. "Tax Policy and Toxic Housing Bubbles in China," NBS Discussion Papers in Economics 2018/03, Economics, Nottingham Business School, Nottingham Trent University.
    27. João Tovar Jalles, 2019. "On the Time‐Varying Relationship between Unemployment and Output: What shapes it?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(5), pages 605-630, November.
    28. Daoju Peng & Kang ShiAuthor-Workplace-Name: Chinese University of Hong Kong & Juanyi XuAuthor-Workplace-Name: Hong Kong University of Science and Technology, 2016. "SOE and Chinese Real Business Cycle," Working Papers 022016, Hong Kong Institute for Monetary Research.
    29. Felipe, Jesus & Lanzafame, Matteo, 2018. "The PRC’s Long-Run Growth through the Lens of the Export-Led Growth Model," ADB Economics Working Paper Series 555, Asian Development Bank.
    30. Zhang, Shangfeng & Liu, Yaoxin & Huang, Duen-Huang, 2021. "Understanding the mystery of continued rapid economic growth," Journal of Business Research, Elsevier, vol. 124(C), pages 529-537.
    31. Kaiji Chen & Jue Ren & Tao Zha, 2016. "What We Learn from China's Rising Shadow Banking: Exploring the Nexus of Monetary Tightening and Banks' Role in Entrusted Lending," NBER Working Papers 21890, National Bureau of Economic Research, Inc.
    32. Wen Yao & Xiaodong Zhu, 2021. "Structural Change And Aggregate Employment Fluctuations In China," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(1), pages 65-100, February.
    33. Fang, Jing & He, Hui & Li, Nan, 2020. "China's rising IQ (Innovation Quotient) and growth: Firm-level evidence," Journal of Development Economics, Elsevier, vol. 147(C).
    34. Yin, Hong & Chang, Long & Wang, Shu, 2023. "The impact of China's economic uncertainty on commodity and financial markets," Resources Policy, Elsevier, vol. 84(C).
    35. Fontaine, Idriss & Razafindravaosolonirina, Justinien & Didier, Laurent, 2018. "Chinese policy uncertainty shocks and the world macroeconomy: Evidence from STVAR," China Economic Review, Elsevier, vol. 51(C), pages 1-19.
    36. Kaiji Chen & Patrick Higgins & Daniel F. Waggoner & Tao Zha, 2016. "Impacts of Monetary Stimulus on Credit Allocation and the Macroeconomy: Evidence from China," NBER Working Papers 22650, National Bureau of Economic Research, Inc.
    37. Gail Cohen & João Tovar Jalles & Mr. Prakash Loungani & Ricardo Marto & Gewei Wang, 2018. "Decoupling of Emissions and GDP: Evidence from Aggregate and Provincial Chinese Data," IMF Working Papers 2018/085, International Monetary Fund.
    38. Chang, Chun & Liu, Zheng & Spiegel, Mark M. & Zhang, Jingyi, 2019. "Reserve requirements and optimal Chinese stabilization policy," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 33-51.
    39. Nadav Ben Zeev, 2017. "Exchange Rate Regimes And Sudden Stops," Working Papers 1712, Ben-Gurion University of the Negev, Department of Economics.
    40. Sen Zhang & Yangyang Ji & Tianye Lin, 2019. "The relative price of investment goods, the price level, and the "slope puzzle"," CEMA Working Papers 609, China Economics and Management Academy, Central University of Finance and Economics.
    41. Michael Murach & Helmut Wagner, 2021. "The effects of external shocks on the business cycle in China: A structural change perspective," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 681-702, August.
    42. Han, Yang & Liu, Zehao & Ma, Jun, 2020. "Growth cycles and business cycles of the Chinese economy through the lens of the unobserved components model," China Economic Review, Elsevier, vol. 63(C).
    43. Zhang, Shangfeng & Luo, Jiayu & Huang, Duen-Huang & Xu, Jingjue, 2023. "Market distortion, factor misallocation, and efficiency loss in manufacturing enterprises," Journal of Business Research, Elsevier, vol. 154(C).
    44. Chow, Gregory C, 2016. "Important laws governing China's macro-economy," Journal of Comparative Economics, Elsevier, vol. 44(2), pages 289-294.
    45. Wang, Bin, 2019. "Measuring the natural rate of interest of China: A time varying perspective," Economics Letters, Elsevier, vol. 176(C), pages 117-120.
    46. Salzmann, Leonard, 2020. "China's Economic Slowdown and International Inflation Dynamics," EconStor Preprints 176757, ZBW - Leibniz Information Centre for Economics, revised 2020.

  5. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Andrew Binning & Junior Maih, 2015. "Applying Flexible Parameter Restrictions in Markov-Switching Vector Autoregression Models," Working Papers No 12/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

  6. Rubio-Ramírez, Juan Francisco & , & Arias, Jonas E., 2014. "Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications," CEPR Discussion Papers 9796, C.E.P.R. Discussion Papers.

    Cited by:

    1. Dario Caldara & Cristina Fuentes-Albero & Simon Gilchrist & Egon Zakrajšek, 2016. "The Macroeconomic Impact of Financial and Uncertainty Shocks," International Finance Discussion Papers 1166, Board of Governors of the Federal Reserve System (U.S.).
    2. Mahmut Çelik & Ayla Oğuş Binatlı, 2022. "How Effective Are Macroprudential Policy Instruments? Evidence from Turkey," Economies, MDPI, vol. 10(4), pages 1-17, March.
    3. Klug, Thorsten & Mayer, Eric & Schuler, Tobias, 2021. "The corporate saving glut and the current account in Germany," Working Paper Series 2586, European Central Bank.
    4. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    5. Tölö, Eero & Miettinen, Paavo, 2018. "How do shocks to bank capital affect lending and growth?," Bank of Finland Research Discussion Papers 25/2018, Bank of Finland.
    6. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
    7. Oliver Morrissey & Lionel Roger & Lars Spreng, 2019. "Aid and exchange rates in sub-Saharan Africa: No more Dutch Disease?," Discussion Papers 2019-07, University of Nottingham, CREDIT.
    8. Manfred M. Fischer & Florian Huber & Michael Pfarrhofer & Petra Staufer‐Steinnocher, 2021. "The Dynamic Impact of Monetary Policy on Regional Housing Prices in the United States," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1039-1068, December.
    9. Cheng, Chak Hung Jack & Chiu, Ching-Wai (Jeremy) & Hankins, William B. & Stone, Anna-Leigh, 2018. "Partisan conflict, policy uncertainty and aggregate corporate cash holdings," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 78-90.
    10. Andrejs Zlobins, 2019. "Country-Level Effects of the ECB's Expanded Asset Purchase Programme," Working Papers 2019/02, Latvijas Banka.
    11. Habib, Maurizio Michael & Stracca, Livio & Venditti, Fabrizio, 2020. "The fundamentals of safe assets," Journal of International Money and Finance, Elsevier, vol. 102(C).
    12. Gerba, Eddie, 2018. "What is the fiscal stress in Euro Area? Evidence from a joint monetary-fiscal structural model," LSE Research Online Documents on Economics 88300, London School of Economics and Political Science, LSE Library.
    13. Hyunseung Oh & Nicolas Crouzet, 2013. "Can news shocks account for the business-cycle dynamics of inventories?," 2013 Meeting Papers 504, Society for Economic Dynamics.
    14. G. Peersman & W. Wagner, 2014. "Shocks to Bank Lending, Risk-Taking, Securitization, and their Role for U.S. Business Cycle Fluctuations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/874, Ghent University, Faculty of Economics and Business Administration.
    15. 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.
    16. Arefiev, Nikolay & Khabibullin, Ramis, 2018. "Bayesian identification of structural vector autoregression models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 115-142.
    17. Ataur Rahaman & Roberto Leon-Gonzalez, 2020. "The Effects of Fiscal Policy Shocks in Bangladesh: An Agnostic Identification Procedure," GRIPS Discussion Papers 20-08, National Graduate Institute for Policy Studies.
    18. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    19. Martin Geiger & Johann Scharler, 2021. "How Do People Interpret Macroeconomic Shocks? Evidence from U.S. Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 813-843, June.
    20. Haberis, Alex & Sokol, Andrej, 2014. "A procedure for combining zero and sign restrictions in aVAR-identification scheme," LSE Research Online Documents on Economics 58077, London School of Economics and Political Science, LSE Library.
    21. Lodge, David & Manu, Ana-Simona, 2022. "EME financial conditions: Which global shocks matter?," Journal of International Money and Finance, Elsevier, vol. 120(C).
    22. Adam Elbourne & Kan Ji & Sem Duijndam, 2018. "The effects of unconventional monetary policy in the euro area," CPB Discussion Paper 371, CPB Netherlands Bureau for Economic Policy Analysis.
    23. Paredes, Joan, 2017. "Subsidising car purchases in the euro area: any spill-over on production?," Working Paper Series 2094, European Central Bank.
    24. Beckers, Benjamin & Bernoth, Kerstin, 2016. "Monetary Policy and Asset Mispricing," VfS Annual Conference 2016 (Augsburg): Demographic Change 145684, Verein für Socialpolitik / German Economic Association.
    25. Gregor Bäurle & Rolf Scheufele, 2019. "Credit cycles and real activity: the Swiss case," Empirical Economics, Springer, vol. 56(6), pages 1939-1966, June.
    26. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    27. Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, Queen Mary University of London, School of Economics and Finance.
    28. Hülsewig, Oliver & Rottmann, Horst, 2021. "Euro area periphery countries' fiscal policy and monetary policy surprises," Weidener Diskussionspapiere 81, University of Applied Sciences Amberg-Weiden (OTH).
    29. Budnik, Katarzyna & Bochmann, Paul, 2017. "Capital and liquidity buffers and the resilience of the banking system in the euro area," Working Paper Series 2120, European Central Bank.
    30. Corbo, Vesna & Di Casola, Paola, 2018. "Conditional exchange rate pass-through: evidence from Sweden," Working Paper Series 352, Sveriges Riksbank (Central Bank of Sweden).
    31. Luca Benati, 2015. "The Long-Run Phillips Curve: A Structural VAR Investigation," 2015 Meeting Papers 929, Society for Economic Dynamics.
    32. Castelnuovo, Efrem, 2016. "Modest macroeconomic effects of monetary policy shocks during the great moderation: An alternative interpretation," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 300-314.
    33. Wieladek, Tomasz & Garcia Pascual, Antonio, 2016. "The European Central Bank’s QE: A new hope," CEPR Discussion Papers 11309, C.E.P.R. Discussion Papers.
    34. Emek Karaca & Mustafa Tugan, 2017. "Aggregate Dynamics after a Shock to Monetary Policy in Developing Countries," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 261-296, February.
    35. Jef Boeckx & Maarten Dossche & Gert Peersman, 2014. "Effectiveness and Transmission of the ECB's Balance Sheet Policies," CESifo Working Paper Series 4907, CESifo.
    36. Nektarios A. Michail & Christos S. Savva & Demetris Koursaros, 2017. "Size Effects of Fiscal Policy and Business Confidence in the Euro Area," IJFS, MDPI, vol. 5(4), pages 1-15, November.
    37. Fabrice Dabiré, 2022. "Forward guidance and the exchange rate: A theoretical sign restricted VAR analysis," Cahiers de recherche 22-03, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    38. Martin Mandler & Michael Scharnagl & Ute Volz, 2022. "Heterogeneity in Euro Area Monetary Policy Transmission: Results from a Large Multicountry BVAR Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 627-649, March.
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    3. Andrzej Kocięcki & Marcin Kolasa, 2022. "A solution to the global identification problem in DSGE models," Working Papers 2022-01, Faculty of Economic Sciences, University of Warsaw.
    4. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    5. Junior Maih, 2015. "Efficient perturbation methods for solving regime-switching DSGE models," Working Paper 2015/01, Norges Bank.
    6. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    7. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2020. "A tractable framework for analyzing a class of nonstationary Markov models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1289-1323, November.
    8. Jonathan Benchimol & Sergey Ivashchenko, 2020. "Switching Volatility in a Nonlinear Open Economy," Bank of Israel Working Papers 2020.04, Bank of Israel.
    9. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    10. Andrew Binning & Junior Maih, 2015. "Sigma Point Filters For Dynamic Nonlinear Regime Switching Models," Working Papers No 4/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    11. Jason Choi & Andrew Foerster, 2021. "Optimal Monetary Policy Regime Switches," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 333-346, October.
    12. Jonathan Benchimol & Sergey Ivashchenko, 2021. "تقلب متغير في اقتصاد مفتوح غير خطي [Wechselnde Volatilität in einer nichtlinearen offenen Volkswirtschaft]," Post-Print halshs-03248949, HAL.
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    14. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Papers No 9/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    15. Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Blagov, Boris & Funke, Michael, 2013. "The regime-dependent evolution of credibility: A fresh look at Hong Kong s linked exchange rate system," BOFIT Discussion Papers 24/2013, Bank of Finland Institute for Emerging Economies (BOFIT).
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    19. Erica X.N. Li & Tao Zha & Ji Zhang & Hao Zhou, 2020. "Stock-Bond Return Correlation, Bond Risk Premium Fundamentals, and Fiscal-Monetary Policy Regime," FRB Atlanta Working Paper 2020-19, Federal Reserve Bank of Atlanta.
    20. Sitthiyot, Thitithep, 2015. "Macroeconomic and Financial Management in an Uncertain World: What Can We Learn from Complexity Science?," MPRA Paper 73753, University Library of Munich, Germany, revised 11 Dec 2015.
    21. Ajevskis Viktors, 2017. "Semi-global solutions to DSGE models: perturbation around a deterministic path," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-28, April.
    22. Francesco Bianchi & Howard Kung & Mikhail Tirskikh, 2019. "The Origins and Effects of Macroeconomic Uncertainty," 2019 Meeting Papers 245, Society for Economic Dynamics.
    23. Foerster, Andrew T., 2015. "Financial crises, unconventional monetary policy exit strategies, and agents׳ expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 191-207.
    24. Francesco Bianchi & Leonardo Melosi, 2012. "Modeling the Evolution of Expectations and Uncertainty in General Equilibrium," PIER Working Paper Archive 13-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    25. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Time Varying DSGE Model with Financial Frictions," Working Papers 769, Queen Mary University of London, School of Economics and Finance.
    26. McClung, Nigel, 2020. "E-stability vis-à-vis determinacy in regime-switching models," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
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    4. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
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    6. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
    7. Oliver Morrissey & Lionel Roger & Lars Spreng, 2019. "Aid and exchange rates in sub-Saharan Africa: No more Dutch Disease?," Discussion Papers 2019-07, University of Nottingham, CREDIT.
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    95. Walentin, Karl, 2014. "Business cycle implications of mortgage spreads," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 62-77.
    96. Uhrin, Gábor B. & Herwartz, Helmut, 2016. "Monetary policy shocks, set-identifying restrictions, and asset prices: A benchmarking approach for analyzing set-identified models," University of Göttingen Working Papers in Economics 295, University of Goettingen, Department of Economics.
    97. Benjamin Beckers & Kerstin Bernoth, 2016. "Monetary Policy and Mispricing in Stock Markets," Discussion Papers of DIW Berlin 1605, DIW Berlin, German Institute for Economic Research.
    98. Julius Stakenas, 2018. "Slicing up inflation: analysis and forecasting of Lithuanian inflation components," Bank of Lithuania Working Paper Series 56, Bank of Lithuania.
    99. Francesco Simone Lucidi, 2021. "The Misalignment of Fiscal Multipliers in Italian Regions," Working Papers in Public Economics 204, University of Rome La Sapienza, Department of Economics and Law.
    100. Davor Kunovac & Mariarosaria Comunale, 2017. "Exchange Rate Pass-Through in the Euro Area," Working Papers 46, The Croatian National Bank, Croatia.
    101. Sébastien Bock & Idriss Fontaine, 2020. "Routine-Biased Technological Change and Hours Worked over the Business Cycle," PSE Working Papers halshs-02982145, HAL.
    102. Jarociński, Marek & Bobeica, Elena, 2017. "Missing disinflation and missing inflation: the puzzles that aren't," Working Paper Series 2000, European Central Bank.
    103. Ángel Estrada & Luis Guirola & Iván Kataryniuk & Jaime Martínez-Martín, 2020. "The use of BVARs in the analysis of emerging economies," Occasional Papers 2001, Banco de España.
    104. Di Casola, Paola & Stockhammar, Pär, 2021. "When domestic and foreign QE overlap: evidence from Sweden," Working Paper Series 404, Sveriges Riksbank (Central Bank of Sweden).
    105. Dario Caldara & Edward Herbst, 2019. "Monetary Policy, Real Activity, and Credit Spreads: Evidence from Bayesian Proxy SVARs," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 157-192, January.
    106. Weale, Martin & Wieladek, Tomasz, 2016. "What are the macroeconomic effects of asset purchases?," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 81-93.
    107. Iñaki Aldasoro & Robert Unger, 2017. "External financing and economic activity in the euro area - why are bank loans special?," BIS Working Papers 622, Bank for International Settlements.
    108. Lewis, Vivien & Roth, Markus, 2019. "The financial market effects of the ECB's asset purchase programs," Journal of Financial Stability, Elsevier, vol. 43(C), pages 40-52.
    109. Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
    110. Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
    111. 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.
    112. César Carrera & Fernando Pérez Forero & Nelson Ramírez-Rondán, 2015. "Effects of U.S. Quantitative Easing on Latin American Economies," Working Papers 35, Peruvian Economic Association.
    113. Meradj Mortezapouraghdam, 2016. "Three Essays on the Role of Frictions in the Economy," Sciences Po publications info:hdl:2441/293qice3lj8, Sciences Po.
    114. Pérez, Fernando, 2015. "Comparing the Transmission of Monetary Policy Shocks in Latin America: A Hierarchical Panel VAR," Working Papers 2015-015, Banco Central de Reserva del Perú.
    115. Jed Armstrong & Nicholas Mulligan, 2017. "Diving in the deep end of domestic deposits," Reserve Bank of New Zealand Analytical Notes series AN2017/05, Reserve Bank of New Zealand.
    116. Carrillo Julio A. & Elizondo Rocío, 2015. "How Robust Are SVARs at Measuring Monetary Policy in Small Open Economies?," Working Papers 2015-18, Banco de México.
    117. Laséen, Stefan, 2020. "Monetary Policy Surprises, Central Bank Information Shocks, and Economic Activity in a Small Open Economy," Working Paper Series 396, Sveriges Riksbank (Central Bank of Sweden).
    118. Guglielminetti, Elisa & Pouraghdam, Meradj, 2018. "Time-varying job creation and macroeconomic shocks," Labour Economics, Elsevier, vol. 50(C), pages 156-179.
    119. Adam Elbourne & Kan Ji, 2019. "Do zero and sign restricted SVARs identify unconventional monetary policy shocks in the euro area?," CPB Discussion Paper 391, CPB Netherlands Bureau for Economic Policy Analysis.
    120. Dąbrowski, Marek A. & Wróblewska, Justyna, 2016. "Exchange rate as a shock absorber in Poland and Slovakia: Evidence from Bayesian SVAR models with common serial correlation," Economic Modelling, Elsevier, vol. 58(C), pages 249-262.
    121. Danilo Leiva-Leon, 2017. "Monitoring the Spanish Economy through the Lenses of Structural Bayesian VARs," Occasional Papers 1706, Banco de España.
    122. Jun Gao & Sheng Zhu, 2019. "A New Structural Analysis of Inflation and Economic Activity," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(1), pages 35-51, June.
    123. Geis, André & Moder, Isabella & Schuler, Tobias, 2020. "Who’s afraid of euro area monetary tightening? CESEE shouldn’t," Working Paper Series 2416, European Central Bank.
    124. Chiu, Ching-Wai (Jeremy) & Harris, Richard & Stoja, Evarist & Chin, Michael, 2016. "Financial market volatility, macroeconomic fundamentals and investor sentiment," Bank of England working papers 608, Bank of England.
    125. Meradj Morteza Pouraghdam, 2016. "Three essays on the role of frictions in the economy [Trois essais sur le rôle du désaccord en économie]," SciencePo Working papers Main tel-03498781, HAL.
    126. Corbo, Vesna & Di Casola, Paola, 2020. "Drivers of consumer prices and exchange rates in small open economies," Working Paper Series 387, Sveriges Riksbank (Central Bank of Sweden).
    127. Valerie A. Ramey, 2016. "Macroeconomic Shocks and Their Propagation," NBER Working Papers 21978, National Bureau of Economic Research, Inc.
    128. Lodge, David & Manu, Ana-Simona & Van Robays, Ine, 2024. "China's footprint in global financial markets," BOFIT Discussion Papers 1/2024, Bank of Finland Institute for Emerging Economies (BOFIT).
    129. Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael & Staufer-Steinnocher, Petra, 2018. "The dynamic impact of monetary policy on regional housing prices in the US: Evidence based on factor-augmented vector autoregressions," Working Papers in Regional Science 2018/01, WU Vienna University of Economics and Business.
    130. Gulan, Adam & Haavio, Markus & Kilponen, Juha, 2014. "Kiss me deadly: From Finnish great depression to great recession," Bank of Finland Research Discussion Papers 24/2014, Bank of Finland.
    131. Harrison, Andre & Reed, Robert R., 2023. "Gross capital inflows, the U.S. economy, and the response of the Federal Reserve," Journal of International Money and Finance, Elsevier, vol. 139(C).
    132. Andrejs Zlobins, 2019. "Macroeconomic Effects of the ECB's Forward Guidance," Working Papers 2019/03, Latvijas Banka.
    133. Bruno Perdigão, 2019. "“Still" an Agnostic Procedure to Identify Monetary Policy Shocks with Sign Restrictions," Working Papers Series 494, Central Bank of Brazil, Research Department.
    134. Gerhard Fenz & Christian Ragacs & Martin Schneider & Klaus Vondra & Walter Waschiczek, 2015. "Causes of declining investment activity in Austria," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 12-34.
    135. Misha van Beek, 2020. "Consistent Calibration of Economic Scenario Generators: The Case for Conditional Simulation," Papers 2004.09042, arXiv.org.
    136. Tomasz Wieladek & Antonio I. Garcia Pascual, 2016. "The European Central Bank's QE: A New Hope," CESifo Working Paper Series 5946, CESifo.
    137. Vlasov, S. & Deryugina, E., 2018. "Fiscal Multipliers in Russia," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 104-119.
    138. Donayre, Luiggi & Panovska, Irina, 2018. "U.S. wage growth and nonlinearities: The roles of inflation and unemployment," Economic Modelling, Elsevier, vol. 68(C), pages 273-292.
    139. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identified SVARs," CeMMAP working papers 45/14, Institute for Fiscal Studies.
    140. Rubio-Ramírez, Juan Francisco & Caldara, Dario & Arias, Jonas E., 2016. "The Systematic Component of Monetary Policy in SVARs: An Agnostic Identi," CEPR Discussion Papers 11674, C.E.P.R. Discussion Papers.
    141. Lodge, David & Soudan, Michel, 2019. "Credit, financial conditions and the business cycle in China," Working Paper Series 2244, European Central Bank.
    142. Hankins, William & Cheng, Chak & Chiu, Jeremy & Stone, Anna-Leigh, 2016. "Does partisan conflict impact the cash holdings of firms? A sign restrictions approach," Bank of England working papers 638, Bank of England.
    143. Mokinski, Frieder, 2017. "A severity function approach to scenario selection," Discussion Papers 34/2017, Deutsche Bundesbank.
    144. Corbo, Vesna & Di Casola, Paola, 2022. "Drivers of consumer prices and exchange rates in small open economies," Journal of International Money and Finance, Elsevier, vol. 122(C).
    145. Nicolas Eterovic & Dalibor Eterovic, 2022. "Stocks, Bonds and the US Dollar - Measuring Domestic and International Market Developments in an Emerging Market," Working Papers Central Bank of Chile 964, Central Bank of Chile.
    146. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
    147. Geiger, Martin & Scharler, Johann, 2016. "How do Macroeconomic Shocks affect Expectations? Lessons from Survey Data," VfS Annual Conference 2016 (Augsburg): Demographic Change 145747, Verein für Socialpolitik / German Economic Association.
    148. Carrera, César & Pérez-Forero, Fernando & Ramírez-Rondán, Nelson, 2014. "Effects of the U.S. quantitative easing on the Peruvian economy," Working Papers 2014-017, Banco Central de Reserva del Perú.
    149. Tommy Wu & Michael Cheng & Ken Wong, 2017. "Bayesian analysis of Hong Kong's housing price dynamics," Pacific Economic Review, Wiley Blackwell, vol. 22(3), pages 312-331, August.
    150. Ute Volz & Martin Mandler & Michael Scharnagl, 2016. "Heterogeneity in Euro Area Monetary Policy Transmission: Results from a large Multi-Country BVAR," EcoMod2016 9609, EcoMod.

  9. Daniel F. Waggoner & Tao Zha, 2010. "Confronting model misspecification in macroeconomics," FRB Atlanta Working Paper 2010-18, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Hansen, Lars Peter & Sargent, Thomas J., 2022. "Structured ambiguity and model misspecification," Journal of Economic Theory, Elsevier, vol. 199(C).
    2. Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
    4. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    5. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    6. 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.
    7. Fabio Canova & Christian Matthes, 2021. "Dealing with misspecification in structural macroeconometric models," Quantitative Economics, Econometric Society, vol. 12(2), pages 313-350, May.
    8. Fawcett, Nicholas & Kapetanios, George & Mitchell, James & Price, Simon, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
    9. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    10. Thorsten Drautzburg, 2020. "A narrative approach to a fiscal DSGE model," Quantitative Economics, Econometric Society, vol. 11(2), pages 801-837, May.
    11. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    12. Hubrich, Kirstin & Tetlow, Robert J., 2014. "Financial stress and economic dynamics: the transmission of crises," Working Paper Series 1728, European Central Bank.
    13. Iiboshi, Hirokuni, 2016. "A multiple DSGE-VAR approach: Priors from a combination of DSGE models and evidence from Japan," Japan and the World Economy, Elsevier, vol. 40(C), pages 1-8.
    14. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    15. Boriss Siliverstovs & Daniel S. Wochner, 2021. "State‐dependent evaluation of predictive ability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 547-574, April.
    16. 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.
    17. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. Morrisy, Stephen D., 2017. "Efficient estimation of macroeconomic equations with unobservable states," Economic Modelling, Elsevier, vol. 60(C), pages 408-423.
    19. Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.
    20. Knut Are Aastveit & Jamie L. Cross & Francesco Furlanetto & Herman K. Van Dijk, 2024. "Taylor Rules with Endogenous Regimes," Working Papers No 04/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    21. Eo, Yunjong & Kang, Kyu Ho, 2020. "The effects of conventional and unconventional monetary policy on forecasting the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    22. Jin, Xin & Maheu, John M. & Yang, Qiao, 2022. "Infinite Markov pooling of predictive distributions," Journal of Econometrics, Elsevier, vol. 228(2), pages 302-321.
    23. Fabio Busetti, 2017. "Quantile Aggregation of Density Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 495-512, August.
    24. McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.
    25. Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
    26. Gian Luigi Mazzi & James Mitchell & Gaetana Montana, 2014. "Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 233-256, April.
    27. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    28. Li, Bing & Pei, Pei & Tan, Fei, 2021. "Financial distress and fiscal inflation," Journal of Macroeconomics, Elsevier, vol. 70(C).
    29. Gianni Amisano & John Geweke, 2017. "Prediction Using Several Macroeconomic Models," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 912-925, December.
    30. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    31. Paul Ho & Thomas A. Lubik & Christian Matthes, 2023. "Averaging Impulse Responses Using Prediction Pools," Working Paper 23-04, Federal Reserve Bank of Richmond.
    32. Atsushi Inoue & Lutz Kilian, 2020. "Joint Bayesian Inference about Impulse Responses in VAR Models," Working Papers 2022, Federal Reserve Bank of Dallas.
    33. Gergely Akos Ganics, 2017. "Optimal density forecast combinations," Working Papers 1751, Banco de España.
    34. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    35. Loretta J. Mester, 2016. "Acknowledging Uncertainty, 10-07-2016; Shadow Open Market Committee Fall Meeting, New York, NY," Speech 77, Federal Reserve Bank of Cleveland.
    36. Stona, Filipe & Morais, Igor A.C. & Triches, Divanildo, 2018. "Economic dynamics during periods of financial stress: Evidences from Brazil," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 130-144.
    37. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    38. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
    39. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2018. "Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods," MPRA Paper 85523, University Library of Munich, Germany.
    40. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Dynamic predictive density combinations for large data sets in economics and finance," Working Paper 2015/12, Norges Bank.
    41. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    42. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    43. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    44. Chung, Tsz-Kin & Iiboshi, Hirokuni, 2015. "Prediction of Term Structure with Potentially Misspecified Macro-Finance Models near the Zero Lower Bound," MPRA Paper 85709, University Library of Munich, Germany.
    45. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.

  10. Andersson, Michael K. & Palmqvist, Stefan & Waggoner, Daniel F., 2010. "Density-Conditional Forecasts in Dynamic Multivariate Models," Working Paper Series 247, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    2. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    3. Knüppel, Malte & Schultefrankenfeld, Guido, 2018. "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers 56/2018, Deutsche Bundesbank.
    4. Michael W. McCracken & Joseph T. McGillicuddy & Michael T. Owyang, 2022. "Binary Conditional Forecasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1246-1258, June.
    5. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
    6. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    7. Gergely Ganics & Florens Odendahl, 2019. "Bayesian VAR forecasts, survey information and structural change in the euro area," Working Papers 1948, Banco de España.
    8. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.

  11. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, frictions, or monetary policy?," FRB Atlanta Working Paper 2009-03, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
    2. Francesco Bianchi, 2009. "Regime Switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," 2009 Meeting Papers 198, Society for Economic Dynamics.
    3. Cristina Fuentes-Albero & Maxym Kryshko & José-Víctor Ríos-Rull & Raul Santaeulalia-Llopis & Frank Schorfheide, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.
    4. Hashmat Khan & John Tsoukalas, 2009. "Investment Shocks and the Comovement Problem," Carleton Economic Papers 09-09, Carleton University, Department of Economics, revised 09 Aug 2010.
    5. Zheng Liu & Pengfei Wang & Tao Zha, 2009. "Do credit constraints amplify macroeconomic fluctuations?," Working Paper Series 2009-28, Federal Reserve Bank of San Francisco.
    6. Tambalotti, Andrea & Primiceri, Giorgio & Justiniano, Alejandro, 2009. "Investment Shocks and the Relative Price of Investment," CEPR Discussion Papers 7598, C.E.P.R. Discussion Papers.
    7. Mumtaz, Haroon & Zanetti, Francesco, 2012. "Neutral technology shocks and employment dynamics: results based on an RBC identification scheme," Bank of England working papers 453, Bank of England.
    8. Francesco Bianchi & Leonardo Melosi, 2013. "Dormant Shocks and Fiscal Virtue," Working Papers 13-12, Duke University, Department of Economics.
    9. Christopher L. House & Ana-Maria Mocanu & Matthew D. Shapiro, 2017. "Stimulus Effects of Investment Tax Incentives: Production versus Purchases," NBER Working Papers 23391, National Bureau of Economic Research, Inc.
    10. Fransesco Furlanetto & Martin Seneca, 2010. "Investment-specific technology shocks and consumption," Economics wp49, Department of Economics, Central bank of Iceland.
    11. Taeyoung Doh & Troy Davig, 2009. "Monetary Policy Regime Shifts and Inflation Persistence," 2009 Meeting Papers 182, Society for Economic Dynamics.
    12. Mohammed Dore & Roelof Makken & Erik Eastman, 2013. "The Monetary Transmission Mechanism, Non-residential Fixed Investment and Housing," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(3), pages 215-224, September.
    13. Selgin, George & Lastrapes, William D. & White, Lawrence H., 2012. "Has the Fed been a failure?," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 569-596.
    14. Parantap Basu & Christoph Thoenissen, 2011. "International business cycles and the relative price of investment goods," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 580-606, May.
    15. Jambu, Marc-Antoine, 2010. "Has the Globalisation really generated more competition in OECD economies," MPRA Paper 19974, University Library of Munich, Germany.

  12. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2009. "Understanding Markov-switching rational expectations models," FRB Atlanta Working Paper 2009-05, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Francesco Bianchi, 2011. "Monetary/Fiscal Policy Mix and Agents' Beliefs," 2011 Meeting Papers 156, Society for Economic Dynamics.
    2. Jean Barthélemy & Magali Marx, 2016. "Solving Endogenous Regime Switching Models," Working Papers hal-03393181, HAL.
    3. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    4. Andrew Ang & Allan Timmermann, 2011. "Regime Changes and Financial Markets," NBER Working Papers 17182, National Bureau of Economic Research, Inc.
    5. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    6. Mittnik, Stefan & Semmler, Willi, 2018. "Overleveraging, Financial Fragility, And The Banking–Macro Link: Theory And Empirical Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 22(1), pages 4-32, January.
    7. Leeper, Eric M., 2009. "Monetary-Fiscal Policy Interactions and Fiscal Stimulus," CEPR Discussion Papers 7509, C.E.P.R. Discussion Papers.
    8. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    9. Howard Kung & Gonzalo Morales & Alexandre Corhay, 2017. "Fiscal Discount Rates and Debt Maturity," 2017 Meeting Papers 840, Society for Economic Dynamics.
    10. Bianchi, Francesco & Melosi, Leonardo, 2013. "Escaping the Great Recession," CEPR Discussion Papers 9643, C.E.P.R. Discussion Papers.
    11. Stéphane Lhuissier & Fabien Tripier, 2016. "Do Uncertainty Shocks Always Matter for Business Cycles?," Working Papers 2016-19, CEPII research center.
    12. Jess Benhabib, 2009. "A Note on Regime Switching, Monetary Policy, and Multiple Equilibria," NBER Working Papers 14770, National Bureau of Economic Research, Inc.
    13. Mariano Kulish & Adrian Pagan, 2014. "Estimation and Solution of Models with Expectations and Structural Changes," CAMA Working Papers 2014-15, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2013. "How Optimal is US Monetary Policy?," Stirling Economics Discussion Papers 2013-05, University of Stirling, Division of Economics.
    15. Funashima, Yoshito, 2020. "Monetary policy, financial uncertainty, and secular stagnation," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    16. Seonghoon Cho & Koen Inghelbrecht & Geert Bekaert & Antonio Moreno & Lieven Baele, 2011. "Macroeconomic Regimes," 2011 Meeting Papers 817, Society for Economic Dynamics.
    17. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2017. "Controlling inflation with switching monetary and fiscal policies: expectations, fiscal guidance and timid regime changes," Bank of Finland Research Discussion Papers 9/2017, Bank of Finland.
    18. Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    19. Zha, Tao & Rubio-Ramírez, Juan Francisco & , & Foerster, Andrew, 2013. "Perturbation Methods for Markov-Switching DSGE Models," CEPR Discussion Papers 9464, C.E.P.R. Discussion Papers.
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    504. Min, Feng & Wen, Fenghua & Wang, Xiong, 2022. "Measuring the effects of monetary and fiscal policy shocks on domestic investment in China," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 395-412.
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    506. Lake, Alfred & Maurin, Laurent & Minnella, Enrico, 2022. "Estimating financial integration in Europe: How to separate structural trends from cyclical fluctuations," EIB Working Papers 2022/15, European Investment Bank (EIB).
    507. Herwartz, Helmut & Rohloff, Hannes, 2018. "Less bang for the buck? Assessing the role of inflation uncertainty for U.S. monetary policy transmission in a data rich environment," University of Göttingen Working Papers in Economics 358, University of Goettingen, Department of Economics.
    508. Gan‐Ochir Doojav & Davaasukh Damdinjav, 2023. "The macroeconomic effects of unconventional monetary policies in a commodity‐exporting economy: Evidence from Mongolia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4627-4654, October.
    509. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2021. "The dynamic effects of international oil price shocks on economic fluctuation," Resources Policy, Elsevier, vol. 74(C).
    510. Dario Caldara & Christophe Kamps, 2010. "The analytics of the sign restriction approach to shock identification: a framework for understanding the empirical macro puzzles," 2010 Meeting Papers 335, Society for Economic Dynamics.
    511. Gehrke, Britta & Yao, Fang, 2017. "Are supply shocks important for real exchange rates? A fresh view from the frequency-domain," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 99-114.
    512. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identified SVARs," CeMMAP working papers 45/14, Institute for Fiscal Studies.
    513. Rubio-Ramírez, Juan Francisco & Caldara, Dario & Arias, Jonas E., 2016. "The Systematic Component of Monetary Policy in SVARs: An Agnostic Identi," CEPR Discussion Papers 11674, C.E.P.R. Discussion Papers.
    514. De Graeve, Ferre & Schneider, Jan David, 2023. "Identifying sectoral shocks and their role in business cycles," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 124-141.
    515. Dany, Geraldine, 2016. "The credit channel during times of financial stress: A time varying VAR analysis," VfS Annual Conference 2016 (Augsburg): Demographic Change 145899, Verein für Socialpolitik / German Economic Association.
    516. Srecko Zimic, 2017. "Identifying SVARs with Sign Restrictions and Heteroskedasticity," EcoMod2017 10251, EcoMod.
    517. Kociecki, Andrzej, 2013. "Bayesian Approach and Identification," MPRA Paper 46538, University Library of Munich, Germany.
    518. Villarreal, Francisco G., 2014. "Monetary Policy and Inequality in Mexico," MPRA Paper 57074, University Library of Munich, Germany.
    519. Rausser, Gordon & Stuermer, Martin, 2020. "A Dynamic Analysis of Collusive Action: The Case of the World Copper Market, 1882-2016," MPRA Paper 104708, University Library of Munich, Germany.
    520. Fernandez, Leon & Pagliacci, Carolina, 2016. "The markup and aggregate fluctuations in Venezuela. Testing distributional shocks," MPRA Paper 106538, University Library of Munich, Germany.
    521. Nikolay Arefiev, 2016. "Graphical Interpretations of Rank Conditions For Identification of Linear Gaussian Models," HSE Working papers WP BRP 124/EC/2016, National Research University Higher School of Economics.
    522. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    523. Pérez-Forero, Fernando, 2016. "Comparación de la transmisión de choques de política monetaria en América Latina: Un panel VAR jerárquico," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 32, pages 10-34.
    524. Brandt, Lennart & Saint Guilhem, Arthur & Schröder, Maximilian & Van Robays, Ine, 2021. "What drives euro area financial market developments? The role of US spillovers and global risk," Working Paper Series 2560, European Central Bank.
    525. Santiago Camara, 2021. "US Spillovers of US Monetary Policy: Information effects & Financial Flows," Papers 2108.01026, arXiv.org, revised May 2024.
    526. Luigi Infante & Francesca Lilla & Francesco Vercelli, 2023. "The effects of the pandemic on households' financial savings: a Bayesian structural VAR analysis," Temi di discussione (Economic working papers) 1421, Bank of Italy, Economic Research and International Relations Area.
    527. Stefano Neri & Fabio Busetti & Cristina Conflitti & Francesco Corsello & Davide Delle Monache & Alex Tagliabracci, 2023. "Energy price shocks and inflation in the euro area," Questioni di Economia e Finanza (Occasional Papers) 792, Bank of Italy, Economic Research and International Relations Area.
    528. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    529. Annika Camehl & Tomasz Wo'zniak, 2023. "Time-Varying Identification of Monetary Policy Shocks," Papers 2311.05883, arXiv.org, revised May 2024.
    530. Bańbura, Marta & Bobeica, Elena & Martínez Hernández, Catalina, 2023. "What drives core inflation? The role of supply shocks," Working Paper Series 2875, European Central Bank.
    531. Haroon Mumtaz & Gabor Pinter & Konstantinos Theodoridis, 2014. "What do VARs Tell Us about the Impact of a Credit Supply Shock? An Empirical Analysis," Working Papers 716, Queen Mary University of London, School of Economics and Finance.
    532. Berg, Tim Oliver, 2010. "Do monetary and technology shocks move euro area stock prices?," MPRA Paper 23973, University Library of Munich, Germany.
    533. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    534. Lovcha, Yuliya & Pérez Laborda, Àlex, 2016. "The Variance-Frequency Decomposition as an Instrument for VAR Identification: an Application to Technology Shocks," Working Papers 2072/261537, Universitat Rovira i Virgili, Department of Economics.
    535. Paul Levine & Joseph Pearlman & Alessio Volpicella & Bo Yang, 2022. "The Use and Mis-Use of SVARs for Validating DSGE Models," School of Economics Discussion Papers 0522, School of Economics, University of Surrey.
    536. Geiger, Martin & Scharler, Johann, 2016. "How do Macroeconomic Shocks affect Expectations? Lessons from Survey Data," VfS Annual Conference 2016 (Augsburg): Demographic Change 145747, Verein für Socialpolitik / German Economic Association.
    537. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.
    538. Wee Chian Koh, 2017. "The effects of macroeconomic shocks on the Brunei economy: a sign restriction approach," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 22(3), pages 414-428, July.
    539. Lomonosov Daniil, 2021. "Роль Пандемии Коронавируса И Развала Сделки Опек+ В Динамике Цены На Нефть В 2020 Г," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 8, pages 23-28, August.
    540. Elisa Guglielminetti, 2016. "The labor market channel of macroeconomic uncertainty," Temi di discussione (Economic working papers) 1068, Bank of Italy, Economic Research and International Relations Area.
    541. Bruns, Martin, 2021. "Proxy Vector Autoregressions in a Data-rich Environment," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    542. Morita, Hiroshi, 2022. "On the relationship between fiscal multipliers and population aging in Japan: Theory and empirics," Economic Modelling, Elsevier, vol. 108(C).
    543. Schiman, Stefan & Klein, Mathias, 2019. "What accounts for the German Labor Market Miracle? A Macroeconomic Investigation," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203593, Verein für Socialpolitik / German Economic Association.
    544. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2017. "Shocks versus structure: explaining differences in exchange rate pass-through across countries and time," Discussion Papers 50, Monetary Policy Committee Unit, Bank of England.
    545. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    546. Finck, David & Hoffmann, Mathias & Hürtgen, Patrick, 2023. "On the empirical relevance of the exchange rate as a shock absorber at the zero lower bound," Discussion Papers 10/2023, Deutsche Bundesbank.
    547. Angelini Giovanni & Costantini Mauro & Easaw Joshy, 2024. "Estimating uncertainty spillover effects across euro area using a regime dependent VAR model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 39-59, February.
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  14. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2008. "Generalizing the Taylor principle: comment," FRB Atlanta Working Paper 2008-19, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Francesco Bianchi, 2009. "Regime Switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," 2009 Meeting Papers 198, Society for Economic Dynamics.
    2. Tomohide Mineyama, 2024. "Downward Nominal Wage Rigidity and Determinacy of Equilibrium," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 305-316, February.
    3. Greg Kaplan & Guido Menzio, 2016. "Shopping Externalities and Self-Fulfilling Unemployment Fluctuations," Journal of Political Economy, University of Chicago Press, vol. 124(3), pages 771-825.
    4. Jess Benhabib, 2009. "A Note on Regime Switching, Monetary Policy, and Multiple Equilibria," NBER Working Papers 14770, National Bureau of Economic Research, Inc.
    5. Seonghoon Cho & Koen Inghelbrecht & Geert Bekaert & Antonio Moreno & Lieven Baele, 2011. "Macroeconomic Regimes," 2011 Meeting Papers 817, Society for Economic Dynamics.
    6. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2008. "Asymmetric expectation effects of regime shifts in monetary policy," Working Paper Series 2008-22, Federal Reserve Bank of San Francisco.
    7. Hirose, Yasuo, 2010. "Monetary policy and sunspot fluctuation in the U.S. and the Euro area," MPRA Paper 33693, University Library of Munich, Germany.
    8. Troy Davig & Eric Leeper, 2009. "Reply To “Generalizing The Taylor Principle: A Comment”," CAEPR Working Papers 2009-008, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    9. Roulleau-Pasdeloup, Jordan, 2020. "Optimal monetary policy and determinacy under active/passive regimes," European Economic Review, Elsevier, vol. 130(C).
    10. Chen, Xiaoshan & MacDonald, Ronald, 2011. "Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom," SIRE Discussion Papers 2011-21, Scottish Institute for Research in Economics (SIRE).
    11. McClung, Nigel, 2020. "E-stability vis-à-vis determinacy in regime-switching models," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    12. Troy Davig & Eric M. Leeper, 2010. "Generalizing the Taylor Principle: Reply," American Economic Review, American Economic Association, vol. 100(1), pages 618-624, March.
    13. Marco Airaudo & Ina Hajdini, 2021. "Consistent Expectations Equilibria In Markov Regime Switching Models And Inflation Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(4), pages 1401-1430, November.
    14. Andreasen, Martin, 2011. "An estimated DSGE model: explaining variation in term premia," Bank of England working papers 441, Bank of England.
    15. Kollmann, Robert, 2021. "Liquidity Traps in a World Economy," CEPR Discussion Papers 15631, C.E.P.R. Discussion Papers.
    16. Holden, Tom D., 2016. "Existence, uniqueness and computation of solutions to dynamic models with occasionally binding constraints," EconStor Preprints 127430, ZBW - Leibniz Information Centre for Economics.
    17. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    18. Eijffinger, Sylvester & Blommestein, Hans J. & Qian, Zongxin, 2012. "Animal Spirits in the Euro Area Sovereign CDS Market," CEPR Discussion Papers 9092, C.E.P.R. Discussion Papers.
    19. Amisano, Gianni & Tristani, Oreste, 2011. "Exact likelihood computation for nonlinear DSGE models with heteroskedastic innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2167-2185.
    20. Holden, Thomas, 2016. "Existence and uniqueness of solutions to dynamic models with occasionally binding constraints," EconStor Preprints 130142, ZBW - Leibniz Information Centre for Economics.
    21. Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2008. "Estimating regime-switching Taylor rules with trend inflation," Bank of Finland Research Discussion Papers 20/2008, Bank of Finland.
    22. Andreasen, Martin M., 2012. "An estimated DSGE model: Explaining variation in nominal term premia, real term premia, and inflation risk premia," European Economic Review, Elsevier, vol. 56(8), pages 1656-1674.
    23. Cho, Seonghoon, 2021. "Determinacy and classification of Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    24. Hayashi, Fumio, 2017. "The long-run Taylor principle revisited," Economics Letters, Elsevier, vol. 161(C), pages 24-26.
    25. Libo Xu & Apostolos Serletis, "undated". "Monetary and Fiscal Policy Switching with Time-Varying Volatilities," Working Papers 2016-34, Department of Economics, University of Calgary, revised 13 Jun 2016.
    26. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2009. "Understanding Markov-switching rational expectations models," Journal of Economic Theory, Elsevier, vol. 144(5), pages 1849-1867, September.
    27. Neusser, Klaus, 2019. "Time–varying rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    28. Alexander W. Richter & Nathaniel A. Throckmorton, 2014. "The Zero Lower Bound: Frequency, Duration, and Numerical Convergence," Auburn Economics Working Paper Series auwp2014-09, Department of Economics, Auburn University.
    29. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.
    30. Blake, Andrew P. & Zampolli, Fabrizio, 2011. "Optimal policy in Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1626-1651, October.

  15. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2008. "Minimal state variable solutions to Markov-switching rational expectations models," FRB Atlanta Working Paper 2008-23, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Eo, Yunjong, 2008. "Bayesian Analysis of DSGE Models with Regime Switching," MPRA Paper 13910, University Library of Munich, Germany, revised 11 Feb 2009.
    2. Francesco Bianchi, 2011. "Monetary/Fiscal Policy Mix and Agents' Beliefs," 2011 Meeting Papers 156, Society for Economic Dynamics.
    3. Jean Barthélemy & Magali Marx, 2016. "Solving Endogenous Regime Switching Models," Working Papers hal-03393181, HAL.
    4. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2007. "Asymmetric expectation effects of regime shifts and the Great Moderation," Working Papers 653, Federal Reserve Bank of Minneapolis.
    5. Francesco Bianchi, 2009. "Regime Switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," 2009 Meeting Papers 198, Society for Economic Dynamics.
    6. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    7. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    8. Junior Maih, 2015. "Efficient perturbation methods for solving regime-switching DSGE models," Working Paper 2015/01, Norges Bank.
    9. Alfred Duncan & Charles Nola, 2017. "Disputes , Debt And Equity," Working Papers 2017_08, Business School - Economics, University of Glasgow.
    10. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    11. Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," CEPR Discussion Papers 15388, C.E.P.R. Discussion Papers.
    12. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2020. "A tractable framework for analyzing a class of nonstationary Markov models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1289-1323, November.
    13. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    14. Anette Borge & Gunnar Bårdsen & Junior Maih, 2019. "Expectations switching in a DSGE model for the UK," Working Paper Series 18119, Department of Economics, Norwegian University of Science and Technology.
    15. Fabrizio Almeida Marodin & Marcelo Savino Portugal, 2019. "Exchange Rate Pass-Through in Brazil: À Markov Switching DSGE Estimation for the Inflation Targeting Period," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 36-66, March.
    16. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2014. "An Empirical Assessment of Optimal Monetary Policy Delegation in the Euro Area," SIRE Discussion Papers 2015-04, Scottish Institute for Research in Economics (SIRE).
    17. Mariano Kulish & Adrian Pagan, 2014. "Estimation and Solution of Models with Expectations and Structural Changes," CAMA Working Papers 2014-15, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2013. "How Optimal is US Monetary Policy?," Stirling Economics Discussion Papers 2013-05, University of Stirling, Division of Economics.
    19. Funashima, Yoshito, 2020. "Monetary policy, financial uncertainty, and secular stagnation," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    20. Denny Lie, 2015. "Straightforward Approximate Stochastic Equilibria for Nonlinear Rational Expectations Models," 2015 Meeting Papers 523, Society for Economic Dynamics.
    21. Seonghoon Cho & Koen Inghelbrecht & Geert Bekaert & Antonio Moreno & Lieven Baele, 2011. "Macroeconomic Regimes," 2011 Meeting Papers 817, Society for Economic Dynamics.
    22. Baumeister, Christiane & Liu, Philip & Mumtaz, Haroon, 2010. "Changes in the transmission of monetary policy: evidence from a time-varying factor-augmented VAR," Bank of England working papers 401, Bank of England.
    23. Faia, Ester & Curatola, Giuliano, 2016. "Divergent Reference-Dependent Risk-Attitudes and Endogenous Collateral Constraints," CEPR Discussion Papers 11678, C.E.P.R. Discussion Papers.
    24. Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    25. Zha, Tao & Rubio-Ramírez, Juan Francisco & , & Foerster, Andrew, 2013. "Perturbation Methods for Markov-Switching DSGE Models," CEPR Discussion Papers 9464, C.E.P.R. Discussion Papers.
    26. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    27. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "An empirical assessment of Optimal Monetary Policy in the Euro area," European Economic Review, Elsevier, vol. 100(C), pages 95-115.
    28. Ji, Yangyang & Xiao, Wei, 2016. "Government spending multipliers and the zero lower bound," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 87-100.
    29. Chen, Han, 2017. "The effects of the near-zero interest rate policy in a regime-switching dynamic stochastic general equilibrium model," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 176-192.
    30. Blagov, Boris & Funke, Michael, 2013. "The regime-dependent evolution of credibility: A fresh look at Hong Kong s linked exchange rate system," BOFIT Discussion Papers 24/2013, Bank of Finland Institute for Emerging Economies (BOFIT).
    31. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    32. Troy Davig & Andrew T. Foerster, 2014. "Uncertainty and fiscal cliffs," Research Working Paper RWP 14-4, Federal Reserve Bank of Kansas City.
    33. Ragna Alstadheim & Hilde C. Bjørnland & Junior Maih, 2013. "Do central banks respond to exchange rate movements? A Markov-switching structural investigation," Working Paper 2013/24, Norges Bank.
    34. Erica X.N. Li & Tao Zha & Ji Zhang & Hao Zhou, 2020. "Stock-Bond Return Correlation, Bond Risk Premium Fundamentals, and Fiscal-Monetary Policy Regime," FRB Atlanta Working Paper 2020-19, Federal Reserve Bank of Atlanta.
    35. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2007. "RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence," Reserve Bank of New Zealand Discussion Paper Series DP2007/15, Reserve Bank of New Zealand.
    36. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2008. "Asymmetric expectation effects of regime shifts in monetary policy," Working Paper Series 2008-22, Federal Reserve Bank of San Francisco.
    37. Beatrice Pataracchia, 2008. "Design Limits in Regime-Switching Cases," Department of Economics University of Siena 529, Department of Economics, University of Siena.
    38. Maih, Junior & Mazelis, Falk & Motto, Roberto & Ristiniemi, Annukka, 2021. "Asymmetric monetary policy rules for the euro area and the US," Journal of Macroeconomics, Elsevier, vol. 70(C).
    39. Francesco Bianchi & Howard Kung & Mikhail Tirskikh, 2019. "The Origins and Effects of Macroeconomic Uncertainty," 2019 Meeting Papers 245, Society for Economic Dynamics.
    40. Foerster, Andrew T., 2015. "Financial crises, unconventional monetary policy exit strategies, and agents׳ expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 191-207.
    41. Chen, Xiaoshan & MacDonald, Ronald, 2011. "Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom," SIRE Discussion Papers 2011-21, Scottish Institute for Research in Economics (SIRE).
    42. Saroj Bhattarai & Jae Won Lee & Woong Yong Park, 2016. "Policy Regimes, Policy Shifts, and U.S. Business Cycles," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 968-983, December.
    43. Christopher Gibbs & Nigel McClung, 2023. "Online Appendix to "Code and data files for "Does my model predict a forward guidance puzzle?"," Online Appendices 22-197, Review of Economic Dynamics.
    44. Hilde C. Bjørnland & Vegard H. Larsen & Junior Maih, 2016. "Oil and macroeconomic (in)stability," Working Paper 2016/12, Norges Bank.
    45. Ravn, Morten & Mertens, Karel, 2011. "Credit Channels in a Liquidity Trap," CEPR Discussion Papers 8322, C.E.P.R. Discussion Papers.
    46. McClung, Nigel, 2020. "E-stability vis-à-vis determinacy in regime-switching models," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    47. Gaffeo, E. & Petrella, I. & Pfajfar, D. & Santoro, E., 2010. "Reference-dependent Preferences and the Transmission of Monetary Policy," Discussion Paper 2010-111, Tilburg University, Center for Economic Research.
    48. Francis Leni Anguyo & Rangan Gupta & Kevin Kotze, 2017. "Monetary Policy, Financial Frictions and Structural Changes: A Markov-Switching DSGE approach," School of Economics Macroeconomic Discussion Paper Series 2017-05, School of Economics, University of Cape Town.
    49. IIBOSHI Hirokuni, 2014. "Monetary Policy Regime Shifts Under the Zero Lower Bound: An Application of a Stochastic Rational Expectations Equilibrium to a Markov Switching DSGE Model," ESRI Discussion paper series 312, Economic and Social Research Institute (ESRI).
    50. Mavromatis, Konstantinos, 2012. "Markov Switching Monetary Policy in a two-country DSGE Model," The Warwick Economics Research Paper Series (TWERPS) 982, University of Warwick, Department of Economics.
    51. Kostas Mavromatis, 2018. "U.S. Monetary Regimes and Optimal Monetary Policy in the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1441-1478, October.
    52. Stéphane Lhuissier & Fabien Tripier, 2021. "Regime‐dependent effects of uncertainty shocks: A structural interpretation," Quantitative Economics, Econometric Society, vol. 12(4), pages 1139-1170, November.
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    72. Dongho Song, 2014. "Bond Market Exposures to Macroeconomic and Monetary Policy Risks," PIER Working Paper Archive 14-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    73. Holden, Thomas, 2016. "Existence and uniqueness of solutions to dynamic models with occasionally binding constraints," EconStor Preprints 130142, ZBW - Leibniz Information Centre for Economics.
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    75. Torój, Andrzej, 2009. "Solving forward-looking models of cross-country adjustment within the euro area," MF Working Papers 2, Ministry of Finance in Poland, revised 04 Sep 2009.
    76. Fernando Alexandre & Pedro Bação & John Driffill, 2007. "Optimal monetary policy with a regime-switching exchange rate in a forward-looking model," GEMF Working Papers 2007-09, GEMF, Faculty of Economics, University of Coimbra.
    77. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2007. "Indeterminacy in a forward-looking regime-switching model," FRB Atlanta Working Paper 2006-19, Federal Reserve Bank of Atlanta.
    78. Wolf, Martin & Müller, Gernot & Kriwoluzky, Alexander, 2013. "Currency Risk in Currency Unions," CEPR Discussion Papers 9635, C.E.P.R. Discussion Papers.
    79. Kostas Mavromatis, 2020. "Finite Horizons and the Monetary/Fiscal Policy Mix," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 327-378, September.
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    83. Lhuissier, Stéphane & Zabelina, Margarita, 2015. "On the stability of Calvo-style price-setting behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 77-95.
    84. Mehmet Balcilar & Rangan Gupta & Kevin Kotze, 2016. "Forecasting South African Macroeconomic Variables with a Markov-Switching Small Open-Economy Dynamic Stochastic General Equilibrium Model," Working Papers 201603, University of Pretoria, Department of Economics.
    85. Taeyoung Doh & Troy Davig, 2009. "Monetary Policy Regime Shifts and Inflation Persistence," 2009 Meeting Papers 182, Society for Economic Dynamics.
    86. Seonghoon Cho, 2016. "Sufficient Conditions for Determinacy in a Class of Markov-Switching Rational Expectations Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 182-200, July.
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    89. Klaus Neusser, 2018. "The New Keynesian Model with Stochastically Varying Policies," Diskussionsschriften dp1801, Universitaet Bern, Departement Volkswirtschaft.
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    93. Carravetta, Francesco & Sorge, Marco M., 2013. "Model reference adaptive expectations in Markov-switching economies," Economic Modelling, Elsevier, vol. 32(C), pages 551-559.
    94. Philip Arestis & Michail Karoglou & Kostas Mouratidis, 2013. "The Price Puzzle: Fact or Artefact?," Working Papers 2013008, The University of Sheffield, Department of Economics.
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    107. Thanassis Kazanas & Elias Tzavalis, 2011. "Unveiling the monetary policy rule in euro area," Working Papers 130, Bank of Greece.
    108. Philip Liu & Haroon Mumtaz, 2011. "Evolving Macroeconomic Dynamics in a Small Open Economy: An Estimated Markov Switching DSGE Model for the UK," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(7), pages 1443-1474, October.
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  16. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2008. "Asymmetric expectation effects of regime shifts in monetary policy," Working Paper Series 2008-22, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Ahmed, M. Iqbal & Cassou, Steven P., 2021. "Asymmetries in the effects of unemployment expectation shocks as monetary policy shifts with economic conditions," Economic Modelling, Elsevier, vol. 100(C).
    2. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    3. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    4. Xindi Wang & Zeshui Xu & Xinxin Wang & Marinko Skare, 2022. "A review of inflation from 1906 to 2022: a comprehensive analysis of inflation studies from a global perspective," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 595-631, September.
    5. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    6. Stéphane Lhuissier & Fabien Tripier, 2016. "Do Uncertainty Shocks Always Matter for Business Cycles?," Working Papers 2016-19, CEPII research center.
    7. Jason Choi & Andrew Foerster, 2021. "Optimal Monetary Policy Regime Switches," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 333-346, October.
    8. Otilia Boldea & Alastair R. Hall, 2013. "Testing structural stability in macroeconometric models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 9, pages 206-228, Edward Elgar Publishing.
    9. Harrison, Richard, 2015. "Estimating the effects of forward guidance in rational expectations models," European Economic Review, Elsevier, vol. 79(C), pages 196-213.
    10. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2017. "Controlling inflation with switching monetary and fiscal policies: expectations, fiscal guidance and timid regime changes," Bank of Finland Research Discussion Papers 9/2017, Bank of Finland.
    11. Chen, Shiu-Sheng & Chou, Yu-Hsi, 2012. "Rational expectations, changing monetary policy rules, and real exchange rate dynamics," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2824-2836.
    12. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, friction, or monetary policy?," Working Paper Series 2009-01, Federal Reserve Bank of San Francisco.
    13. Ji, Yangyang & Xiao, Wei, 2016. "Government spending multipliers and the zero lower bound," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 87-100.
    14. Hirose, Yasuo, 2010. "Monetary policy and sunspot fluctuation in the U.S. and the Euro area," MPRA Paper 33693, University Library of Munich, Germany.
    15. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    16. Sergey Ivashchenko & Semih Emre Çekin & Kevin Kotzé & Rangan Gupta, 2018. "Forecasting with Second-Order Approximations and Markov Switching DSGE Models," Working Papers 201862, University of Pretoria, Department of Economics.
    17. Gaffeo, E. & Petrella, I. & Pfajfar, D. & Santoro, E., 2010. "Reference-dependent Preferences and the Transmission of Monetary Policy," Discussion Paper 2010-111, Tilburg University, Center for Economic Research.
    18. Francis Leni Anguyo & Rangan Gupta & Kevin Kotze, 2017. "Monetary Policy, Financial Frictions and Structural Changes: A Markov-Switching DSGE approach," School of Economics Macroeconomic Discussion Paper Series 2017-05, School of Economics, University of Cape Town.
    19. Mavromatis, Konstantinos, 2012. "Markov Switching Monetary Policy in a two-country DSGE Model," The Warwick Economics Research Paper Series (TWERPS) 982, University of Warwick, Department of Economics.
    20. Kostas Mavromatis, 2018. "U.S. Monetary Regimes and Optimal Monetary Policy in the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1441-1478, October.
    21. Stéphane Lhuissier & Fabien Tripier, 2021. "Regime‐dependent effects of uncertainty shocks: A structural interpretation," Quantitative Economics, Econometric Society, vol. 12(4), pages 1139-1170, November.
    22. Borovicka, J. & Hansen, L.P., 2016. "Term Structure of Uncertainty in the Macroeconomy," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1641-1696, Elsevier.
    23. Pancrazi, Roberto & Vukotic, Marija, 2012. "Technology Persistence and Monetary Policy," Economic Research Papers 270536, University of Warwick - Department of Economics.
    24. Hahn, Volker, 2016. "Designing monetary policy committees," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 47-67.
    25. Guido Ascari & Anna Florio & Alessandro Gobbi, 2016. "Monetary and Fiscal Policy Interactions: Leeper (1991) Redux," Economics Series Working Papers 788, University of Oxford, Department of Economics.
    26. Ferman, Marcelo, 2011. "Switching Monetary Policy Regimes and the Nominal Term Structure," Dynare Working Papers 5, CEPREMAP.
    27. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2023. "Price level targeting under fiscal dominance," Journal of International Money and Finance, Elsevier, vol. 137(C).
    28. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    29. Xiaochun Liu, 2018. "How is the Taylor Rule Distributed under Endogenous Monetary Regimes?," International Review of Finance, International Review of Finance Ltd., vol. 18(2), pages 305-316, June.
    30. Fabio Milani, 2009. "Expectations, Learning, and the Changing Relationship between Oil Prices and the Macroeconomy," Working Papers 080923, University of California-Irvine, Department of Economics.
    31. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    32. Ruoyun Mao & Wenyi Shen & Shu-Chun S. Yang, 2023. "Can Passive Monetary Policy Decrease the Debt Burden?," IEAS Working Paper : academic research 23-A007, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    33. Mehmet Balcilar & Rangan Gupta & Kevin Kotze, 2016. "Forecasting South African Macroeconomic Variables with a Markov-Switching Small Open-Economy Dynamic Stochastic General Equilibrium Model," Working Papers 201603, University of Pretoria, Department of Economics.
    34. Seonghoon Cho, 2016. "Sufficient Conditions for Determinacy in a Class of Markov-Switching Rational Expectations Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 182-200, July.
    35. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2009. "Understanding Markov-switching rational expectations models," Journal of Economic Theory, Elsevier, vol. 144(5), pages 1849-1867, September.
    36. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Monetary-fiscal interactions under price level targeting," Papers 2010.14979, arXiv.org.
    37. Chauvet, Marcelle & Jiang, Cheng, 2023. "Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S," Global Finance Journal, Elsevier, vol. 55(C).
    38. Christian Matthes, 2015. "Figuring Out the Fed—Beliefs about Policymakers and Gains from Transparency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 1-29, February.
    39. Davide Debortoli & Ricardo Nunes, 2011. "Monetary regime switches and unstable objectives," International Finance Discussion Papers 1036, Board of Governors of the Federal Reserve System (U.S.).
    40. Thanassis Kazanas & Apostolis Philippopoulos & Elias Tzavalis, 2011. "Monetary Policy Rules And Business Cycle Conditions," Manchester School, University of Manchester, vol. 79(s2), pages 73-97, September.
    41. Sun-Bin Kim & Frank Schorfheide & Yongsung Chang, 2010. "Financial Frictions, Aggregation, and the Lucas Critique," 2010 Meeting Papers 31, Society for Economic Dynamics.
    42. Best, Gabriela, 2013. "Fear of floating or monetary policy as usual? A structural analysis of Mexico's monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 45-62.
    43. Maksim Isakin & Phuong V. Ngo, 2022. "Multiplicity in New Keynesian Models," Open Economies Review, Springer, vol. 33(3), pages 505-521, July.
    44. Carravetta, Francesco & Sorge, Marco M., 2011. "On the Solution of Markov-switching Rational Expectations Models," Bonn Econ Discussion Papers 05/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
    45. Thanassis Kazanas & Elias Tzavalis, 2011. "Unveiling the monetary policy rule in euro area," Working Papers 130, Bank of Greece.

  17. Liu, Zheng & Waggoner, Daniel F. & Zha, Tao, 2007. "Asymmetric Expectation Effects of Regime Shifts and the Great Moderation," Kiel Working Papers 1357, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Andrew Mountford & Harald Uhlig, 2005. "What are the Effects of Fiscal Policy Shocks?," SFB 649 Discussion Papers SFB649DP2005-039, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2008. "Asymmetric expectation effects of regime shifts in monetary policy," Working Paper Series 2008-22, Federal Reserve Bank of San Francisco.
    3. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    4. Ferman, Marcelo, 2011. "Switching Monetary Policy Regimes and the Nominal Term Structure," Dynare Working Papers 5, CEPREMAP.
    5. Carravetta, Francesco & Sorge, Marco M., 2013. "Model reference adaptive expectations in Markov-switching economies," Economic Modelling, Elsevier, vol. 32(C), pages 551-559.

  18. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2007. "Understanding the New Keynesian model when monetary policy switches regimes," FRB Atlanta Working Paper 2007-12, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Jean Barthélemy & Magali Marx, 2016. "Solving Endogenous Regime Switching Models," Working Papers hal-03393181, HAL.
    2. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2007. "Asymmetric expectation effects of regime shifts and the Great Moderation," Working Papers 653, Federal Reserve Bank of Minneapolis.
    3. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2008. "Asymmetric expectation effects of regime shifts in monetary policy," Working Paper Series 2008-22, Federal Reserve Bank of San Francisco.
    4. Barthélemy, J. & Marx, M., 2011. "State-Dependent Probability Distributions in Non Linear Rational Expectations Models," Working papers 347, Banque de France.
    5. Simpson, Nicole & de Araujo, Pedro & O'Sullivan, Roisin, 2012. "What should be taught in Intermediate Macroeconomics?," Working Papers 2012-01, Department of Economics, Colgate University.
    6. Adam Cagliarini & Mariano Kulish, 2008. "Solving Linear Rational Expectations Models with Predictable Structural Changes," RBA Research Discussion Papers rdp2008-10, Reserve Bank of Australia.
    7. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2010. "Generalizing the Taylor Principle: Comment," American Economic Review, American Economic Association, vol. 100(1), pages 608-617, March.
    8. Barnett, William & Chen, Guo, 2015. "Bifurcation of Macroeconometric Models and Robustness of Dynamical Inferences," Studies in Applied Economics 32, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    9. Sharon Kozicki & Peter A. Tinsley, 2005. "Term structure transmission of monetary policy," Research Working Paper RWP 05-06, Federal Reserve Bank of Kansas City.
    10. Shayan Zakipour-Saber, 2019. "State-dependent Monetary Policy Regimes," Working Papers 882, Queen Mary University of London, School of Economics and Finance.
    11. Jean Barthélemy & Magali Marx, 2012. "Solving Rational Expectations Models," Post-Print hal-03394058, HAL.
    12. Ferman, Marcelo, 2011. "Switching Monetary Policy Regimes and the Nominal Term Structure," Dynare Working Papers 5, CEPREMAP.
    13. Svensson, Lars E. O. & Williams, Noah, 2005. "Monetary policy with model uncertainty: distribution forecast targeting," Discussion Paper Series 1: Economic Studies 2005,35, Deutsche Bundesbank.
    14. František Brázdik, 2011. "An Announced Regime Switch: Optimal Policy for the Transition Period," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 411-431, November.
    15. Vidakovic, Neven, 2014. "Exchange rate regime and household's choice of debt," MPRA Paper 54219, University Library of Munich, Germany.
    16. Barnett, William A. & Duzhak, Evgeniya A., 2014. "Structural Stability of the Generalized Taylor Rule," MPRA Paper 58737, University Library of Munich, Germany.
    17. Ferman, Marcelo, 2011. "Switching monetary policy regimes and the nominal term structure," LSE Research Online Documents on Economics 119070, London School of Economics and Political Science, LSE Library.

  19. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2007. "Asymmetric expectation effects of regime shifts and the Great Moderation," FRB Atlanta Working Paper 2007-23, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Andrew Mountford & Harald Uhlig, 2005. "What are the Effects of Fiscal Policy Shocks?," SFB 649 Discussion Papers SFB649DP2005-039, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2008. "Asymmetric expectation effects of regime shifts in monetary policy," Working Paper Series 2008-22, Federal Reserve Bank of San Francisco.
    3. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    4. Ferman, Marcelo, 2011. "Switching Monetary Policy Regimes and the Nominal Term Structure," Dynare Working Papers 5, CEPREMAP.
    5. Carravetta, Francesco & Sorge, Marco M., 2013. "Model reference adaptive expectations in Markov-switching economies," Economic Modelling, Elsevier, vol. 32(C), pages 551-559.

  20. 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.

    Cited by:

    1. Eo, Yunjong, 2008. "Bayesian Analysis of DSGE Models with Regime Switching," MPRA Paper 13910, University Library of Munich, Germany, revised 11 Feb 2009.
    2. Francesco Bianchi, 2009. "Regime Switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," 2009 Meeting Papers 198, Society for Economic Dynamics.
    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. 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.
    5. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    6. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    7. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pinter, Gabor, 2016. "VAR models with non-Gaussian shocks," LSE Research Online Documents on Economics 86238, London School of Economics and Political Science, LSE Library.
    8. Alfred Duncan & Charles Nola, 2017. "Disputes , Debt And Equity," Working Papers 2017_08, Business School - Economics, University of Glasgow.
    9. Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2017. "Trend Inflation and Evolving Inflation Dynamics: A Bayesian GMM Analysis of the Generalized New Keynesian Phillips Curve," IMES Discussion Paper Series 17-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    10. Xianguo HUANG & Roberto LEON-GONZALEZ & Somrasri YUPHO, 2013. "Financial Integration from a Time-Varying Cointegration Perspective," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(12), pages 1473-1487.
    11. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    12. Kagraoka, Yusho & Moussa, Zakaria, 2013. "Quantitative easing, credibility and the time-varying dynamics of the term structure of interest rate in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 181-201.
    13. 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.
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    Cited by:

    1. Benati, Luca & Surico, Paolo, 2007. "Vector Autoregression Analysis and the Great Moderation," Discussion Papers 18, Monetary Policy Committee Unit, Bank of England.
    2. Jean Barthélemy & Magali Marx, 2016. "Solving Endogenous Regime Switching Models," Working Papers hal-03393181, HAL.
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    5. Anatoliy Belaygorod & Michael J. Dueker, 2007. "The price puzzle and indeterminacy in an estimated DSGE model," Working Papers 2006-025, Federal Reserve Bank of St. Louis.
    6. Jess Benhabib, 2009. "A Note on Regime Switching, Monetary Policy, and Multiple Equilibria," NBER Working Papers 14770, National Bureau of Economic Research, Inc.
    7. Takashi Kamihigashi & John Stachurski, 2015. "Seeking Ergodicity in Dynamic Economies," Discussion Paper Series DP2015-40, Research Institute for Economics & Business Administration, Kobe University.
    8. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    9. Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2010. "Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data," PIER Working Paper Archive 10-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Takashi Kamihigashiw & John Stachurski, 2014. "Seeking Ergodicity in Dynamic Economies," Working Papers 2014-402, Department of Research, Ipag Business School.
    11. William A. Branch & Troy Davig & Bruce McGough, 2007. "Expectational stability in regime-switching rational expectations models," Research Working Paper RWP 07-09, Federal Reserve Bank of Kansas City.
    12. Barthélemy, J. & Marx, M., 2011. "State-Dependent Probability Distributions in Non Linear Rational Expectations Models," Working papers 347, Banque de France.
    13. Jesús Gonzalo & Jean-Yves Pitarakis, 2013. "Estimation and inference in threshold type regime switching models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 8, pages 189-205, Edward Elgar Publishing.
    14. Troy Davig & Eric M. Leeper, 2005. "Fluctuating Macro Policies and the Fiscal Theory," NBER Working Papers 11212, National Bureau of Economic Research, Inc.
    15. Hirose, Yasuo, 2020. "An Estimated Dsge Model With A Deflation Steady State," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1151-1185, July.
    16. Raffaella Giacomini & Barbara Rossi, 2014. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Working Papers 819, Barcelona School of Economics.
    17. Shayan Zakipour-Saber, 2019. "State-dependent Monetary Policy Regimes," Working Papers 882, Queen Mary University of London, School of Economics and Finance.
    18. Jesús Fernández-Villaverde & Juan F Rubio-Ramírez, 2007. "How Structural Are Structural Parameters?," Levine's Bibliography 843644000000000057, UCLA Department of Economics.
    19. Troy Davig & Eric M. Leeper, 2005. "Generalizing the Taylor Principle," NBER Working Papers 11874, National Bureau of Economic Research, Inc.
    20. Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
    21. Chadha, J.S. & Corrado, L., 2007. "On the Determinacy of Monetary Policy under Expectational Errors," Cambridge Working Papers in Economics 0722, Faculty of Economics, University of Cambridge.
    22. Vidakovic, Neven, 2014. "Exchange rate regime and household's choice of debt," MPRA Paper 54219, University Library of Munich, Germany.
    23. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2009. "Understanding Markov-switching rational expectations models," Journal of Economic Theory, Elsevier, vol. 144(5), pages 1849-1867, September.
    24. Roger E.A. Farmer & Daniel F. Waggoner & Tao Zha, 2007. "Understanding the New-Keynesian Model when Monetary Policy Switches Regimes," NBER Working Papers 12965, National Bureau of Economic Research, Inc.
    25. Bouabdallah, Othman & Jacquinot, Pascal & Patella, Valeria, 2023. "Monetary/fiscal policy regimes in post-war Europe," Working Paper Series 2871, European Central Bank.
    26. Reed, Jason R., 2019. "The forward premium puzzle and Markov-switching adaptive learning," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 1-17.
    27. Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2020. "Time-varying cointegration with an application to the UK Great Ratios," Economics Letters, Elsevier, vol. 193(C).

  22. Bauer, Andrew & Eisenbeis, Robert & Waggoner, Daniel & Zha, Tao, 2006. "Transparency, expectations, and forecasts," Working Paper Series 637, European Central Bank.

    Cited by:

    1. Paul Hubert, 2011. "Central Bank Forecasts as an Instrument of Monetary Policy," Documents de Travail de l'OFCE 2011-23, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. Paul Hubert, 2014. "FOMC Forecasts as a Focal Point for Private Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1381-1420, October.
    3. M. Middeldorp, 2011. "Central Bank Transparency, the Accuracy of Professional Forecasts, and Interest Rate Volatility," Working Papers 11-12, Utrecht School of Economics.
    4. Silvio Colarossi & Andrea Zaghini, 2009. "Gradualism, transparency and the improved operational framework: a look at the overnight volatility transmission," Temi di discussione (Economic working papers) 710, Bank of Italy, Economic Research and International Relations Area.
    5. van der Cruijsen, C.A.B., 2008. "The economic impact of central bank transparency," Other publications TiSEM 86c1ba91-1952-45b4-adac-8, Tilburg University, School of Economics and Management.
    6. Eijffinger, Sylvester & van der Cruijsen, Carin, 2007. "The Economic Impact of Central Bank Transparency: A Survey," CEPR Discussion Papers 6070, C.E.P.R. Discussion Papers.
    7. Patrick Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," NBER Working Papers 22402, National Bureau of Economic Research, Inc.
    8. Gorodnichenko, Y & Coibion, O, 2016. "How inertial is monetary policy? implications for the fed’s exit strategy," Department of Economics, Working Paper Series qt2qc6f09b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    9. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания [A Critical Review of Major Approaches for Modeling Economic Expectations]," MPRA Paper 68797, University Library of Munich, Germany.
    10. Trabelsi, Emna, 2016. "Central bank transparency and the consensus forecast: What does The Economist poll of forecasters tell us?," Research in International Business and Finance, Elsevier, vol. 38(C), pages 338-359.
    11. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2006. "Geography or skills: What explains Fed watchers’ forecast accuracy of US monetary policy?," Working Paper Series 695, European Central Bank.
    12. Jitmaneeroj, Boonlert & Lamla, Michael J. & Wood, Andrew, 2019. "The implications of central bank transparency for uncertainty and disagreement," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 222-240.
    13. Eddie Casey & Diarmaid Smyth, 2016. "Revisions to Macroeconomic Data: Ireland and the OECD," The Economic and Social Review, Economic and Social Studies, vol. 47(1), pages 33-68.
    14. Pierdzioch, Christian & Rülke, Jan-Christoph, 2014. "Central banks’ interest rate projections and forecast coordination," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 130-137.
    15. Eijffinger, Sylvester & Ehrmann, Michael & Fratzscher, Marcel, 2009. "The role of central bank transparency for guiding private sector forecasts," CEPR Discussion Papers 7585, C.E.P.R. Discussion Papers.
    16. Bhaghoe, Sailesh & Ooft, Gavin, 2020. "Modelling Exchange-Rate Volatility With Commodity Prices," Studies in Applied Economics 165, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    17. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    18. Carvalho, Fabia A. & Minella, André, 2012. "Survey forecasts in Brazil: A prismatic assessment of epidemiology, performance, and determinants," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1371-1391.
    19. Paul Hubert, 2015. "The influence and policy signaling role of FOMC Forecasts," Post-Print hal-03399827, HAL.
    20. Weber, Christoph S., 2019. "The effect of central bank transparency on exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 165-181.
    21. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2011. "Geography, skills or both: What explains Fed watchers' forecast accuracy of US monetary policy?," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 420-437, September.
    22. Dunbar, Kwamie & Amin, Abu S., 2015. "The nature and impact of the market forecasting errors in the Federal funds futures market," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 174-192.

  23. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," FRB Atlanta Working Paper 2005-27, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Shigeru Fujita, 2011. "Dynamics of worker flows and vacancies: evidence from the sign restriction approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 89-121, January/F.
    2. Mr. Eugenio M Cerutti & Ms. Carolina Osorio-Buitron, 2019. "US vs. Euro Area: Who Drives Cross-Border Bank Lending to EMs?," IMF Working Papers 2019/199, International Monetary Fund.
    3. Jan Čapek, 2016. "Structural Changes in the Czech Economy: A DSGE Model Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(1), pages 37-52.
    4. Alfred Duncan & Charles Nola, 2017. "Disputes , Debt And Equity," Working Papers 2017_08, Business School - Economics, University of Glasgow.
    5. Luigi Paciello, 2011. "Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1663-1684, December.
    6. Scholl, Almuth & Uhlig, Harald, 2008. "New evidence on the puzzles: Results from agnostic identification on monetary policy and exchange rates," Journal of International Economics, Elsevier, vol. 76(1), pages 1-13, September.
    7. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    8. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2014. "An Empirical Assessment of Optimal Monetary Policy Delegation in the Euro Area," SIRE Discussion Papers 2015-04, Scottish Institute for Research in Economics (SIRE).
    9. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "An empirical assessment of Optimal Monetary Policy in the Euro area," European Economic Review, Elsevier, vol. 100(C), pages 95-115.
    10. Volha Audzei & Frantisek Brazdik, 2012. "Monetary Policy and Exchange Rate Dynamics: The Exchange Rate as a Shock Absorber," Working Papers 2012/09, Czech National Bank.
    11. Enders, Zeno & Müller, Gernot J. & Scholl, Almuth, 2008. "How do fiscal and technology shocks affect real exchange rates? New evidence for the United States," CFS Working Paper Series 2008/22, Center for Financial Studies (CFS).
    12. Massimiliano Serati & Gianni Amisano, 2008. "Building composite leading indexes in a dynamic factor model framework: a new proposal," LIUC Papers in Economics 212, Cattaneo University (LIUC).
    13. Barnett, Alina & Thomas, Ryland, 2013. "Has weak lending and activity in the United Kingdom been driven by credit supply shocks?," Bank of England working papers 482, Bank of England.
    14. Mr. Troy D Matheson & Mr. Emil Stavrev, 2014. "News and Monetary Shocks at a High Frequency: A Simple Approach," IMF Working Papers 2014/167, International Monetary Fund.
    15. Massimiliano Serati, 2008. "Trade and quality: theoretical and empirical evidence for the euro zone," LIUC Papers in Economics 206, Cattaneo University (LIUC).
    16. Gabriel Rodríguez & Paulo Chávez, 2022. "Time Changing Effects of External Shocks on Macroeconomic Fluctuations in Peru: Empirical Application Using Regime-Switching VAR Models with Stochastic Volatility," Documentos de Trabajo / Working Papers 2022-509, Departamento de Economía - Pontificia Universidad Católica del Perú.
    17. Andreas Bachmann & Stefan Leist, 2013. "Sudden stop regimes and output: a Markov switching analysis," Diskussionsschriften dp1307, Universitaet Bern, Departement Volkswirtschaft.
    18. Frédéric Karamé, 2015. "Asymmetries and Markov-switching structural VAR," Post-Print hal-02296101, HAL.
    19. Alexander Kriwoluzky, 2009. "Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models," Economics Working Papers ECO2009/29, European University Institute.
    20. Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-run Restrictions via Heteroskedasticity," CESifo Working Paper Series 4651, CESifo.
    21. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2011. "International transmission of shocks: a time-varying factor-augmented VAR approach to the open economy," Bank of England working papers 425, Bank of England.
    22. Lubos Hanus & Lukas Vacha, 2018. "Time-Frequency Response Analysis of Monetary Policy Transmission," Working Papers IES 2018/30, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2018.
    23. Mardi Dungey & Renee Fry, 2007. "The Identification Of Fiscal And Monetary Policy In A Structural Var," CAMA Working Papers 2007-29, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    24. 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.
    25. Volha Audzei & Frantisek Brazdik, 2015. "Exchange Rate Dynamics and its Effect on Macroeconomic Volatility in Selected CEE Countries," Working Papers 2015/07, Czech National Bank.
    26. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    27. Busch, Ulrike & Scharnagl, Michael & Scheithauer, Jan, 2010. "Loan supply in Germany during the financial crisis," Discussion Paper Series 1: Economic Studies 2010,05, Deutsche Bundesbank.
    28. De Graeve, Ferre & Karas, Alexei, 2010. "Identifying VARs through Heterogeneity: An Application to Bank Runs," Working Paper Series 244, Sveriges Riksbank (Central Bank of Sweden).
    29. Markku Lanne & Helmut Luetkepohl & Katarzyna Maciejowska, 2009. "Structural Vector Autoregressions with Markov Switching," Economics Working Papers ECO2009/06, European University Institute.
    30. Dmitry Kulikov & Aleksei Netsunajev, 2013. "Identifying monetary policy shocks via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2013-9, Bank of Estonia, revised 09 Dec 2013.
    31. Berg, Tim Oliver, 2010. "Exploring the international transmission of U.S. stock price movements," MPRA Paper 23977, University Library of Munich, Germany.
    32. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
    33. 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.
    34. Roland Meeks, 2009. "Credit market shocks: evidence from corporate spreads and defaults," Working Papers 0906, Federal Reserve Bank of Dallas.
    35. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2014. "The transmission of international shocks to the UK. Estimates based on a time-varying factor augmented VAR," Journal of International Money and Finance, Elsevier, vol. 46(C), pages 1-15.
    36. Hou, Chenghan & Nguyen, Bao H., 2018. "Understanding the US natural gas market: A Markov switching VAR approach," Energy Economics, Elsevier, vol. 75(C), pages 42-53.
    37. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
    38. Kilian, Lutz & Murphy, Daniel, 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.
    39. Gete, Pedro, 2009. "Housing Markets and Current Account Dynamics," MPRA Paper 20957, University Library of Munich, Germany, revised 24 Feb 2010.
    40. Francesco Lippi & Andrea Nobili, 2009. "Oil and the macroeconomy: a quantitative structural analysis," Temi di discussione (Economic working papers) 704, Bank of Italy, Economic Research and International Relations Area.
    41. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
    42. Audzei, Volha & Brázdik, František, 2018. "Exchange rate dynamics and their effect on macroeconomic volatility in selected CEE countries," Economic Systems, Elsevier, vol. 42(4), pages 584-596.
    43. Legrand, Romain, 2014. "Euro introduction: Has there been a structural change? Study on 10 European Union countries," Economic Modelling, Elsevier, vol. 40(C), pages 136-151.
    44. Bian, Timothy Yang & Gete, Pedro, 2015. "What drives housing dynamics in China? A sign restrictions VAR approach," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 96-112.
    45. Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
    46. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
    47. Kilian, Lutz & Inoue, Atsushi & Guerron-Quintana, Pablo A., 2009. "Frequentist Inference in Weakly Identified DSGE Models," CEPR Discussion Papers 7447, C.E.P.R. Discussion Papers.
    48. Ms. Carolina Osorio-Buitron & Mr. Esteban Vesperoni, 2015. "Big Players Out of Synch: Spillovers Implications of US and Euro Area Shocks," IMF Working Papers 2015/215, International Monetary Fund.
    49. Lippi, Francesco & Nobili, Andrea, 2008. "Oil and the Macroeconomy: A Structural VAR Analysis with Sign Restrictions," CEPR Discussion Papers 6830, C.E.P.R. Discussion Papers.
    50. Nikolaychuk Sergiy & Shapovalenko Nadiia, 2013. "The identification of the sources of current account fluctuations in Ukraine," EERC Working Paper Series 13/12e, EERC Research Network, Russia and CIS.
    51. Helmut Lütkepohl, 2012. "Identifying Structural Vector Autoregressions via Changes in Volatility," Discussion Papers of DIW Berlin 1259, DIW Berlin, German Institute for Economic Research.
    52. Chai Jian & Wang Shubin & Xiao Hao, 2013. "Abrupt Changes of Global Oil Price," Journal of Systems Science and Information, De Gruyter, vol. 1(1), pages 38-59, February.

  24. Tao Zha & Juan Rubio & Daniel Waggoner, 2004. "Effects of monetary policy regime changes in the Euro Economy," 2004 Meeting Papers 459, Society for Economic Dynamics.

    Cited by:

    1. Legrand, Romain, 2014. "Euro introduction: Has there been a structural change? Study on 10 European Union countries," Economic Modelling, Elsevier, vol. 40(C), pages 136-151.

  25. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2004. "Normalization in econometrics," FRB Atlanta Working Paper 2004-13, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Pierre Perron & Tatsuma Wada, 2015. "Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data," Boston University - Department of Economics - Working Papers Series wp2015-016, Boston University - Department of Economics.
    2. Thomas J. Sargent & Noah Williams & Tao Zha, 2004. "Shocks and government beliefs: the rise and fall of American inflation," FRB Atlanta Working Paper 2004-22, Federal Reserve Bank of Atlanta.
    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. Hala Abou-Ali & Yasmine M. Abdelfattah, 2011. "Integrated Paradigm for Sustainable Development: A Panel Data Study," Working Papers 646, Economic Research Forum, revised 10 Jan 2011.
    5. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    6. Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
    7. Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 46642, University Library of Munich, Germany.
    8. Gonçalves, Rui & Ribeiro, Vitor Miguel & Pereira, Fernando Lobo, 2023. "Variable Split Convolutional Attention: A novel Deep Learning model applied to the household electric power consumption," Energy, Elsevier, vol. 274(C).
    9. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2013. "How Optimal is US Monetary Policy?," Stirling Economics Discussion Papers 2013-05, University of Stirling, Division of Economics.
    10. George Monokroussos, 2006. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Discussion Papers 06-02, University at Albany, SUNY, Department of Economics.
    11. Penelope A. Smith & Peter M. Summers, 2004. "How Well Do Markov Switching Models Describe Actual Business Cycles? The Case of Synchronization," Melbourne Institute Working Paper Series wp2004n09, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Alexandru MANOLE & Mariana BUNEA & Ana CARP & Diana-Valentina SOARE & Maria MIREA, 2017. "Model analysis of the correlation between final consumption and its components," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(2), pages 105-113, February.
    13. Kim, Chang-Jin & Piger, Jeremy & Startz, Richard, 2008. "Estimation of Markov regime-switching regression models with endogenous switching," Journal of Econometrics, Elsevier, vol. 143(2), pages 263-273, April.
    14. Perron, Pierre & Wada, Tatsuma, 2009. "Let's take a break: Trends and cycles in US real GDP," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 749-765, September.
    15. Tatsuma Wada & Pierre Perron, 2005. "An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2005-44, Boston University - Department of Economics.
    16. Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
    17. Ángel Guillén & Gabriel Rodríguez, 2014. "Trend-cycle decomposition for Peruvian GDP: application of an alternative method," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-44, December.
    18. Markku Lanne, 2006. "Nonlinear dynamics of interest rate and inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1157-1168.
    19. John Driffill & Turalay Kenc & Martin Sola & Fabio Spagnolo, 2008. "On Model Selection and Markov-Switching: An Empirical Examination of Term Structure Models with Regime Shifts," Department of Economics Working Papers 2008-04, Universidad Torcuato Di Tella.
    20. BAUWENS, Luc & HAFNER, Christian M. & ROMBOUTS, Jeroen VK, 2007. "Multivariate mixed normal conditional heteroskedasticity," LIDAM Reprints CORE 1906, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    21. Tatsuma Wada & Pierre Perron, 2006. "State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2006-029, Boston University - Department of Economics.
    22. Jean-Marie Dufour & Alain Trognon, 2000. "Invariant Tests Based on M-Estimators, Estimating Functions and the Generalized Method of Moments," Econometric Society World Congress 2000 Contributed Papers 1420, Econometric Society.
    23. Chen, Xiaoshan & MacDonald, Ronald, 2011. "Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom," SIRE Discussion Papers 2011-21, Scottish Institute for Research in Economics (SIRE).
    24. ROMBOUTS, Jeroen V.K. & STENTOFT, Lars, 2009. "Bayesian option pricing using mixed normal heteroskedasticity models," LIDAM Discussion Papers CORE 2009013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Madalina-Gabriela ANGHEL & Luminita Madalina CALOTA, 2016. "Statistical-econometric model used in performance analysis of the company," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(10), pages 33-40, October.
    26. Thomas J. Sargent & Noah Williams & Tao Zha, 2006. "The conquest of South American inflation," FRB Atlanta Working Paper 2006-20, Federal Reserve Bank of Atlanta.
    27. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," FRB Atlanta Working Paper 2005-27, Federal Reserve Bank of Atlanta.
    28. Yoon, Gawon, 2015. "Locating change-points in Hodrick–Prescott trends with an application to US real GDP: A generalized unobserved components model approach," Economic Modelling, Elsevier, vol. 45(C), pages 136-141.
    29. Marcelle Chauvet & Jeremy Piger, 2013. "Employment And The Business Cycle," Manchester School, University of Manchester, vol. 81(s2), pages 16-42, October.
    30. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    31. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    32. B. D. McCullough & H. D. Vinod, 2004. "Verifying the Solution from a Nonlinear Solver: A Case Study: Reply," American Economic Review, American Economic Association, vol. 94(1), pages 391-396, March.
    33. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
    34. Rombouts Jeroen V. K. & Bouaddi Mohammed, 2009. "Mixed Exponential Power Asymmetric Conditional Heteroskedasticity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-32, May.
    35. Ai Deng & Pierre Perron, 2005. "A Comparison of Alternative Asymptotic Frameworks to Analyze a Structural Change in a Linear Time Trend," Boston University - Department of Economics - Working Papers Series WP2005-030, Boston University - Department of Economics.
    36. Madalina-Gabriela ANGHEL & Florin Paul Costel LILEA & Maria MIREA, 2017. "Analysis of the interdependence between GDP and Inflation," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(3), pages 148-155, March.
    37. Alqahtani Abdullah & Taillard Michael, 2019. "The Impact of US Economic Policy Uncertainty Shock on GCC Stock Market Performance," Asian Journal of Law and Economics, De Gruyter, vol. 10(2), pages 1-13, August.
    38. Radu Titus MARINESCU & Aurelian DIACONU & Alexandru BADIU & Alexandru BADIU, 2016. "Analyzing the correlation between GDP and import using a statistical-econometric model," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(10), pages 98-102, October.
    39. Susaeta, Andres & Sancewich, Brian & Adams, Damian & Moreno, Paulo C., 2019. "Ecosystem Services Production Efficiency of Longleaf Pine Under Changing Weather Conditions," Ecological Economics, Elsevier, vol. 156(C), pages 24-34.
    40. Stéphane Lhuissier, 2015. "The Regime-switching volatility of Euro Area Business Cycles," Working Papers 2015-22, CEPII research center.
    41. Christopher A. Sims & Tao Zha, 2004. "Were there regime switches in U.S. monetary policy?," FRB Atlanta Working Paper 2004-14, Federal Reserve Bank of Atlanta.
    42. Stephen Morris, 2014. "The Statistical Implications of Common Identifying Restrictions for DSGE Models," 2014 Meeting Papers 738, Society for Economic Dynamics.
    43. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
    44. 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.
    45. ROMBOUTS, Jeroen V. K. & STENTOFT, Lars, 2010. "Option pricing with asymmetric heteroskedastic normal mixture models," LIDAM Discussion Papers CORE 2010049, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    46. Gonçalves, Rui & Ribeiro, Vitor Miguel, 2024. "Convolutional attention with roll padding: Classifying PM2.5 concentration levels in the city of Beijing," Energy, Elsevier, vol. 289(C).
    47. Markus K. Brunnermeier & Darius Palia & Karthik A. Sastry & Christopher A. Sims, 2019. "Feedbacks: Financial Markets and Economic Activity," Working Papers 257, Princeton University, Department of Economics, Center for Economic Policy Studies..
    48. Christopher A. Sims & Tao Zha, 2004. "MCMC method for Markov mixture simultaneous-equation models: a note," FRB Atlanta Working Paper 2004-15, Federal Reserve Bank of Atlanta.
    49. Madalina-Gabriela Anghel & Georgeta Lixandru & Marius Popovici & Alina – Georgiana Solomon & Emilia Stanciu, 2017. "Theoretical Elements on the Use of Price Indices for Inflation Measurement," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 38-47, July.
    50. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Florin Paul Costel LILEA & Andreea – Ioana MARINESCU, 2017. "Macroeconomic Forecast Models – Concepts And Theoretical Notions," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(6), pages 118-123, June.
    52. Daniel L. Thornton & Giorgio Valente, 2009. "Revisiting the predictability of bond risk premia," Working Papers 2009-009, Federal Reserve Bank of St. Louis.
    53. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    54. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    55. Zheng, Yuhua & Luo, Dongkun, 2013. "Industrial structure and oil consumption growth path of China: Empirical evidence," Energy, Elsevier, vol. 57(C), pages 336-343.
    56. Xiaochun Liu, 2016. "Markov switching quantile autoregression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(4), pages 356-395, November.
    57. Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.
    58. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.
    59. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    60. 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.

  26. Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2002. "Evaluating Wall Street Journal survey forecasters: a multivariate approach," FRB Atlanta Working Paper 2002-8, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Filip Novotny & Marie Rakova, 2010. "Assessment of Consensus Forecasts Accuracy: The Czech National Bank Perspective," Working Papers 2010/14, Czech National Bank.
    2. Karlyn Mitchell & Douglas Pearce, 2010. "Do Wall Street economists believe in Okun’s Law and the Taylor Rule?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(2), pages 196-217, April.
    3. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2006. "Transparency, expectations, and forecasts," FRB Atlanta Working Paper 2006-03, Federal Reserve Bank of Atlanta.
    4. Rolando F. Peláez, 2015. "A recession‐and‐state forecasting model," Southern Economic Journal, John Wiley & Sons, vol. 81(4), pages 1025-1039, April.
    5. Jan Christoph Ruelke & Ralf Fendel & Michael Frenkel, 2011. "Do Professional Forecasters Trust in Taylor-Type Rules? - Evidence from the Wall Street Journal Poll," Post-Print hal-00743770, HAL.
    6. Audretsch, David B. & Stadtmann, Georg, 2005. "Biases in FX-forecasts: Evidence from panel data," Global Finance Journal, Elsevier, vol. 16(1), pages 99-111, August.
    7. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
    8. Tara M. Sinclair & Hans Christian Müller-Dröge & Herman Stekler, 2014. "Evaluating Forecasts of a Vector of Variables: A German Forecasting Competition," Working Papers 2014-17, The George Washington University, Institute for International Economic Policy.
    9. Christian Dreger & Georg Stadtmann, 2008. "What drives heterogeneity in foreign exchange rate expectations: insights from a new survey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 360-367.
    10. Herman O. Stekler & Raj M. Talwar, 2011. "Economic Forecasting in the Great Recession," Working Papers 2011-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    11. Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2016. "Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 86-100.
    12. Mitchell, Karlyn & Pearce, Douglas K., 2007. "Professional forecasts of interest rates and exchange rates: Evidence from the Wall Street Journal's panel of economists," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 840-854, December.
    13. Sinclair, Tara M. & Gamber, Edward N. & Stekler, Herman & Reid, Elizabeth, 2012. "Jointly evaluating the Federal Reserve’s forecasts of GDP growth and inflation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
    14. Carvalho, Fabia A. & Minella, André, 2012. "Survey forecasts in Brazil: A prismatic assessment of epidemiology, performance, and determinants," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1371-1391.
    15. Pierdzioch, Christian & Rülke, Jan Christoph & Stadtmann, Georg, 2012. "House price forecasts in times of crisis: Do forecasters herd?," Discussion Papers 318, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    16. Koske, Isabell & Stadtmann, Georg, 2009. "Exchange rate expectations: The role of person specific forward looking variables," Economics Letters, Elsevier, vol. 105(3), pages 221-223, December.
    17. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2003. "Forecast evaluation with cross-sectional data: The Blue Chip Surveys," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q2), pages 17-31.
    18. Ruelke, Jan C. & Frenkel, Michael R. & Stadtmann, Georg, 2010. "Expectations on the yen/dollar exchange rate - Evidence from the Wall Street Journal forecast poll," Journal of the Japanese and International Economies, Elsevier, vol. 24(3), pages 355-368, September.
    19. Christian Pierdzioch & Jan Christoph Rülke & Georg Stadtmann, 2012. "House Price Forecasts, Forecaster Herding, and the Recent Crisis," IJFS, MDPI, vol. 1(1), pages 1-14, November.
    20. Frenkel, Michael & Rülke, Jan-Christoph & Stadtmann, Georg, 2009. "Two currencies, one model? Evidence from the Wall Street Journal forecast poll," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 588-596, October.
    21. Christian Dreger & Georg Stadtmann, 2006. "What Drives Heterogeneity in Foreign Exchange Rate Expectations: Deep Insights from a New Survey," Discussion Papers of DIW Berlin 624, DIW Berlin, German Institute for Economic Research.

  27. Daniel F. Waggoner & Tao Zha, 2000. "Likelihood-preserving normalization in multiple equation models," FRB Atlanta Working Paper 2000-8, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Charles L. Evans & David A. Marshall, 2001. "Economic determinants of the nominal treasury yield curve," Working Paper Series WP-01-16, Federal Reserve Bank of Chicago.
    2. Neusser, Klaus, 2016. "A topological view on the identification of structural vector autoregressions," Economics Letters, Elsevier, vol. 144(C), pages 107-111.
    3. Luigi Paciello, 2011. "Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1663-1684, December.
    4. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    5. Rubio-Ramírez, Juan Francisco & , & Arias, Jonas E., 2014. "Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications," CEPR Discussion Papers 9796, C.E.P.R. Discussion Papers.
    6. Eric M. Leeper & Tao Zha, 1999. "Modest policy interventions," FRB Atlanta Working Paper 99-22, Federal Reserve Bank of Atlanta.
    7. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    8. Benjamin Poignard & Manabu Asai, 2021. "Estimation of High Dimensional Vector Autoregression via Sparse Precision Matrix," Discussion Papers in Economics and Business 21-03, Osaka University, Graduate School of Economics.
    9. Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Documentos de Trabajo del ICAE 2016-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Jonas E. Arias & Dario Caldara & Juan F. Rubio-Ramirez, 2016. "The Systematic Component of Monetary Policy in SVARs: An Agnostic Identification Procedure," FRB Atlanta Working Paper 2016-15, Federal Reserve Bank of Atlanta.
    11. Johannes W. Fedderke, 2021. "Identifying Supply and Demand Shocks in the South African Economy 19602020," Working Papers 11012, South African Reserve Bank.
    12. John W. Keating, 2013. "Interpreting Permanent Shocks to Output When Aggregate Demand May Not Be Neutral in the Long Run," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 747-756, June.
    13. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2017. "Realized stochastic volatility with general asymmetry and long memory," Journal of Econometrics, Elsevier, vol. 199(2), pages 202-212.
    14. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.
    15. Del Negro, Marco & Otrok, Christopher, 2007. "99 Luftballons: Monetary policy and the house price boom across U.S. states," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1962-1985, October.
    16. Villani, Mattias & Warne, Anders, 2003. "Monetary Policy Analysis in a Small Open Economy using Bayesian Cointegrated Structural VARs," Working Paper Series 156, Sveriges Riksbank (Central Bank of Sweden).
    17. Andrea Nobili & Stefano Neri, 2006. "The transmission of monetary policy shocks from the US to the euro area," Temi di discussione (Economic working papers) 606, Bank of Italy, Economic Research and International Relations Area.
    18. 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.
    19. Kociecki, Andrzej, 2013. "Towards Understanding the Normalization in Structural VAR Models," MPRA Paper 47645, University Library of Munich, Germany.
    20. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    21. John W. Keating, 2013. "Interpreting Permanent Shocks to Output When Aggregate Demand May Not Be Neutral in the Long Run," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 747-756, June.
    22. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
    23. John Keating, 2004. "Interpreting Permanent and Transitory Shocks to Output When Aggregate Demand May Not Be Neutral in the Long-run," Econometric Society 2004 North American Summer Meetings 608, Econometric Society.
    24. Sabri Boubaker & Dimitrios Gounopoulos & Duc Khuong Nguyen & Nikos Paltalidis, 2016. "Assessing the Effects of Unconventional Monetary Policy on Pension Funds Risk Incentives," Working Papers 2016-005, Department of Research, Ipag Business School.
    25. Cyriac Guillaumin, 2008. "(A)symetrie et convergence des chocs macroeconomiques en Asie de l'Est : une analyse dynamique," Economie Internationale, CEPII research center, issue 114, pages 29-68.
    26. Christopher A. Sims & Tao Zha, 2004. "Were there regime switches in U.S. monetary policy?," FRB Atlanta Working Paper 2004-14, Federal Reserve Bank of Atlanta.
    27. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
    28. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
    29. Velinov, Anton, 2016. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," VfS Annual Conference 2016 (Augsburg): Demographic Change 145581, Verein für Socialpolitik / German Economic Association.
    30. Voss, G.M. & Willard, L.B., 2009. "Monetary policy and the exchange rate: Evidence from a two-country model," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 708-720, December.
    31. Mark Bognanni & Edward P. Herbst, 2014. "Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach," Working Papers (Old Series) 1427, Federal Reserve Bank of Cleveland.
    32. Velinov, Anton, 2018. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 106-126.
    33. Jarociński, Marek, 2021. "Estimating the Fed’s Unconventional Policy Shocks," Working Paper Series 20210, European Central Bank.
    34. Boubaker, Sabri & Gounopoulos, Dimitrios & Nguyen, Duc Khuong & Paltalidis, Nikos, 2017. "Assessing the effects of unconventional monetary policy and low interest rates on pension fund risk incentives," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 35-52.
    35. Puonti, Päivi, 2019. "Data-driven structural BVAR analysis of unconventional monetary policy," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    36. Helmut Lutkepohl & Fei Shang & Luis Uzeda & Tomasz Wo'zniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Papers 2404.11057, arXiv.org.
    37. Stefano Neri & Andrea Nobili, 2010. "The Transmission of US Monetary Policy to the Euro Area," International Finance, Wiley Blackwell, vol. 13(1), pages 55-78, March.
    38. Satoshi Tezuka & Yoichi Matsubayashi, 2018. "Credit Spread, Financial Market and Real Activities under Financial Instability: Empirical Evidence with MS-SBVAR," Discussion Papers 1812, Graduate School of Economics, Kobe University.
    39. Khiabani, Nasser, 2010. "How Important are Oil and Money Shocks in Explaining Housing Market Fluctuations in an Oil-exporting Country?: Evidence from Iran," MPRA Paper 34041, University Library of Munich, Germany, revised 01 Mar 2011.
    40. Par Osterholm, 2008. "A structural Bayesian VAR for model-based fan charts," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1557-1569.
    41. Adolfson, Malin & Andersson, Michael K. & Lindé, Jesper & Villani, Mattias & Vredin, Anders, 2005. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," Working Paper Series 188, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2006.
    42. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    43. Kociecki, Andrzej, 2013. "Further Results on Identification of Structural VAR Models," MPRA Paper 46536, University Library of Munich, Germany.
    44. Markku Lanne & Jani Luoto, 2016. "Data-Driven Inference on Sign Restrictions in Bayesian Structural Vector Autoregression," CREATES Research Papers 2016-04, Department of Economics and Business Economics, Aarhus University.
    45. Khiabani, Nasser, 2015. "Oil inflows and housing market fluctuations in an oil-exporting country: Evidence from Iran," Journal of Housing Economics, Elsevier, vol. 30(C), pages 59-76.
    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.
    47. 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.
    48. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.

  28. Daniel F. Waggoner & Tao Zha, 2000. "A Gibbs simulator for restricted VAR models," FRB Atlanta Working Paper 2000-3, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Michael T. Owyang, 2002. "Modeling Volcker as a non-absorbing state: agnostic identification of a Markov-switching VAR," Working Papers 2002-018, Federal Reserve Bank of St. Louis.
    2. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    3. Chew Lian Chua & Peter Summers, 2004. "Structural Error Correction Model: A Bayesian Perspective," Econometric Society 2004 Far Eastern Meetings 702, Econometric Society.
    4. Kim, Soyoung, 2001. "International transmission of U.S. monetary policy shocks: Evidence from VAR's," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 339-372, October.

  29. Edwin D. Maberly & Daniel F. Waggoner, 2000. "Closing the question on the continuation of turn-of-the-month effects: evidence from the S&P 500 Index futures contract," FRB Atlanta Working Paper 2000-11, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Obalade Adefemi A. & Muzindutsi Paul-Francois, 2019. "Calendar Anomalies, Market Regimes, and the Adaptive Market Hypothesis in African Stock Markets," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 27(4), pages 71-94, December.
    2. Vasileiou, Evangelos, 2018. "Is the turn of the month effect an “abnormal normality”? Controversial findings, new patterns and…hidden signs(?)," Research in International Business and Finance, Elsevier, vol. 44(C), pages 153-175.
    3. Camilleri, Silvio John, 2008. "Month-Related Seasonality of Stock Price Volatility: Evidence from the Malta Stock Exchange," MPRA Paper 62493, University Library of Munich, Germany.

  30. Daniel F. Waggoner & Tao Zha, 1998. "Conditional forecasts in dynamic multivariate models," FRB Atlanta Working Paper 98-22, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Anastasios Evgenidis & Stephanos Papadamou, 2021. "The impact of unconventional monetary policy in the euro area. Structural and scenario analysis from a Bayesian VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5684-5703, October.
    2. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    3. Karamysheva, Madina, 2022. "How do fiscal adjustments work? An empirical investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    4. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    5. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    6. Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
    7. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    8. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    9. Knüppel, Malte & Schultefrankenfeld, Guido, 2018. "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers 56/2018, Deutsche Bundesbank.
    10. Berg Tim Oliver, 2017. "Forecast accuracy of a BVAR under alternative specifications of the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-29, April.
    11. Jordi Galí, 2009. "Constant interest rate projections without the curse of indeterminacy: A note," International Journal of Economic Theory, The International Society for Economic Theory, vol. 5(1), pages 61-68, March.
    12. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.
    13. Karlsson, Sune & Österholm, Pär, 2018. "Is the US Phillips Curve Stable? Evidence from Bayesian VARs," Working Papers 2018:5, Örebro University, School of Business.
    14. Blake, Andrew, 2012. "Fixed interest rates over finite horizons," Bank of England working papers 454, Bank of England.
    15. Summers, Peter M., 2001. "Forecasting Australia's economic performance during the Asian crisis," International Journal of Forecasting, Elsevier, vol. 17(3), pages 499-515.
    16. Matteo Luciani, 2013. "Monetary Policy, and the Housing Market: A Structural Factor Analysis," ULB Institutional Repository 2013/153324, ULB -- Universite Libre de Bruxelles.
    17. Michael W. McCracken & Joseph T. McGillicuddy & Michael T. Owyang, 2022. "Binary Conditional Forecasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1246-1258, June.
    18. Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
    19. Giannone, Domenico & Lenza, Michele & Onorante, Luca & Momferatou, Daphne, 2010. "Short-Term Inflation Projections: a Bayesian Vector Autoregressive approach," CEPR Discussion Papers 7746, C.E.P.R. Discussion Papers.
    20. Bayraci, Selcuk & Ari, Yakup & Yildirim, Yavuz, 2011. "A Vector Auto-Regressıve (VAR) Model for the Turkish Financial Markets," MPRA Paper 30475, University Library of Munich, Germany.
    21. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2014. "No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," CEPR Discussion Papers 9848, C.E.P.R. Discussion Papers.
    22. Antonio M. Conti & Andrea Nobili & Federico M. Signoretti, 2018. "Bank capital constraints, lending supply and economic activity," Temi di discussione (Economic working papers) 1199, Bank of Italy, Economic Research and International Relations Area.
    23. Andersson, Malin & Maurin, Laurent & Rusinova, Desislava, 2021. "Market finance as a spare tyre? Corporate investment and access to bank credit in Europe," Working Paper Series 2606, European Central Bank.
    24. Chiu, Ching-Wai (Jeremy) & Hacioglu Hoke, Sinem, 2016. "Macroeconomic tail events with non-linear Bayesian VARs," Bank of England working papers 611, Bank of England.
    25. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
    26. Max Breitenlechner & Georgios Georgiadis & Ben Schumann, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," GRU Working Paper Series GRU_2021_003, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    27. De Backer, Bruno & Dewachter, Hans & Iania, Leonardo, 2021. "Macrofinancial information on the post-COVID-19 economic recovery: Will it be V, U or L-shaped?," LIDAM Reprints LFIN 2021007, Université catholique de Louvain, Louvain Finance (LFIN).
    28. Ron Alquist & Lutz Kilian & Robert Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
    29. Òscar Jordà & Massimiliano Marcellino, 2010. "Path forecast evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 635-662.
    30. Conti, Antonio M., 2017. "Has the FED Fallen behind the Curve? Evidence from VAR models," Economics Letters, Elsevier, vol. 159(C), pages 164-168.
    31. Etienne Vaccaro-Grange, 2019. "Quantitative Easing and the Term Premium as a Monetary Policy Instrument," Working Papers halshs-02359503, HAL.
    32. John C. Robertson & Ellis W. Tallman, 1999. "Improving forecasts of the federal funds rate in a policy model," FRB Atlanta Working Paper 99-3, Federal Reserve Bank of Atlanta.
    33. Todd E. Clark & Michael W. McCracken, 2014. "Evaluating Conditional Forecasts from Vector Autoregressions," Working Papers 2014-25, Federal Reserve Bank of St. Louis.
    34. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    35. Wieladek, Tomasz & Garcia Pascual, Antonio, 2016. "The European Central Bank’s QE: A new hope," CEPR Discussion Papers 11309, C.E.P.R. Discussion Papers.
    36. Tino Berger & Tore Dubbert, 2022. "Government spending effects on the business cycle in times of crisis," CQE Working Papers 10022, Center for Quantitative Economics (CQE), University of Muenster.
    37. Pestova, Anna & Mamonov, Mikhail, 2019. "Should we care? The economic effects of financial sanctions on the Russian economy," BOFIT Discussion Papers 13/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    38. Camba-Mendez, Gonzalo, 2012. "Conditional forecasts on SVAR models using the Kalman filter," Economics Letters, Elsevier, vol. 115(3), pages 376-378.
    39. Lukas Boer & Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," Discussion Papers of DIW Berlin 1976, DIW Berlin, German Institute for Economic Research.
    40. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    41. Mehdiyev, Mehdi & Ahmadov, Vugar & Huseynov, Salman & Mammadov, Fuad, 2015. "Ölkə iqtisadiyyatı üzrə göstəricilərin modelləşdirilməsi və proqnozlaşdırılması: problemlər və praktiki çətinliklər [Modeling and forecasting of macroeconomic variables of the national economy: pro," MPRA Paper 63517, University Library of Munich, Germany.
    42. Laurent Maurin, 2019. "Weakness of investment in Portugal: what role do credit supply and fiscal consolidation shocks play?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 18(1), pages 19-45, February.
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    184. Luca Benati, 2023. "Forecasting Global Temperatures by Exploiting Cointegration with Radiative Forcing," Diskussionsschriften dp2308, Universitaet Bern, Departement Volkswirtschaft.
    185. Mokinski, Frieder, 2017. "A severity function approach to scenario selection," Discussion Papers 34/2017, Deutsche Bundesbank.
    186. Gary Koop & Stuart McIntyre & James Mitchell, 2020. "UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 91-119, January.
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    188. Fabian Krüger & Sebastian Lerch & Thordis Thorarinsdottir & Tilmann Gneiting, 2021. "Predictive Inference Based on Markov Chain Monte Carlo Output," International Statistical Review, International Statistical Institute, vol. 89(2), pages 274-301, August.
    189. Jan Bruha & Tibor Hledik & Tomas Holub & Jiri Polansky & Jaromir Tonner, 2013. "Incorporating Judgments and Dealing with Data Uncertainty in Forecasting at the Czech National Bank," Research and Policy Notes 2013/02, Czech National Bank.
    190. Wei Yao & Weikun Zhang & Wenxiu Li & Penglong Li, 2022. "Measurement and Evaluation of Convergence of Japan’s Marine Fisheries and Marine Tourism," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
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  31. Daniel F. Waggoner, 1997. "Spline methods for extracting interest rate curves from coupon bond prices," FRB Atlanta Working Paper 97-10, Federal Reserve Bank of Atlanta.

    Cited by:

    1. David Bolder & Scott Gusba, 2002. "Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada," Staff Working Papers 02-29, Bank of Canada.
    2. Colin Ellis, 2014. "Break-even maturity as a guide to financial distress," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(4), December.
    3. Ellison, Martin & Scott, Andrew, 2017. "Managing the UK National Debt 1694-2017," CEPR Discussion Papers 12304, C.E.P.R. Discussion Papers.
    4. Simerský, Mojmír, 2018. "Zero-coupon yields estimated by zero-degree splines," MPRA Paper 86268, University Library of Munich, Germany.
    5. Clive G. Bowsher & Roland Meeks, 2008. "The dynamics of economics functions: modelling and forecasting the yield curve," Working Papers 0804, Federal Reserve Bank of Dallas.
    6. Gzyl, Henryk & Mayoral, Silvia, 2016. "Determination of zero-coupon and spot rates from treasury data by maximum entropy methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 38-50.
    7. Marcello Pericoli, 2012. "Real term structure and inflation compensation in the euro area," Temi di discussione (Economic working papers) 841, Bank of Italy, Economic Research and International Relations Area.
    8. Dalu Zhang & Peter Moffatt, 2012. "The yield curve as a leading indicator in economic forecasting in the U.K," University of East Anglia Applied and Financial Economics Working Paper Series 035, School of Economics, University of East Anglia, Norwich, UK..
    9. Torben G. Andersen & Luca Benzoni, 2010. "Do Bonds Span Volatility Risk in the U.S. Treasury Market? A Specification Test for Affine Term Structure Models," Journal of Finance, American Finance Association, vol. 65(2), pages 603-653, April.
    10. Francisco Rivadeneyra, 2012. "The U.S.-Dollar Supranational Zero-Coupon Curve," Discussion Papers 12-5, Bank of Canada.
    11. Bliss, Robert R. & Panigirtzoglou, Nikolaos, 2002. "Testing the stability of implied probability density functions," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 381-422, March.
    12. Ioannides, Michalis, 2003. "A comparison of yield curve estimation techniques using UK data," Journal of Banking & Finance, Elsevier, vol. 27(1), pages 1-26, January.
    13. Jordan, James V. & Mansi, Sattar A., 2003. "Term structure estimation from on-the-run Treasuries," Journal of Banking & Finance, Elsevier, vol. 27(8), pages 1487-1509, August.
    14. Victor A. Lapshin & Vadim Ya. Kaushanskiy, 2014. "A Nonparametric Method For Term Structure Fitting With Automatic Smoothing," HSE Working papers WP BRP 39/FE/2014, National Research University Higher School of Economics.
    15. Frank Skinner & Michalis Ioannides, 2004. "FRS17 and the Sterling Doubles A Corporate Yield Curve," ICMA Centre Discussion Papers in Finance icma-dp2004-08, Henley Business School, University of Reading.
    16. Eff, E. Anthon, 1998. "An Improved Technique for Obtaining Current Sub-state Income Estimates," The Review of Regional Studies, Southern Regional Science Association, vol. 28(2), pages 91-103, Fall.
    17. Robert R Bliss & Nikolaos Panigirtzoglou, 2000. "Testing the stability of implied probability density functions," Bank of England working papers 114, Bank of England.
    18. Kentaro Kikuchi & Kohei Shintani, 2012. "Comparative Analysis of Zero Coupon Yield Curve Estimation Methods Using JGB Price Data," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 30, pages 75-122, November.
    19. Gurkaynak, Refet S. & Sack, Brian & Wright, Jonathan H., 2007. "The U.S. Treasury yield curve: 1961 to the present," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2291-2304, November.
    20. J. Huston McCulloch, 2001. "The Inflation Premium implicit in the US Real and Nominal," Computing in Economics and Finance 2001 210, Society for Computational Economics.
    21. Victor Curtis Lartey & Yao Li & Hannah Darkoa Lartey & Eric Kofi Boadi, 2019. "Zero-Coupon, Forward, and Par Yield Curves for the Nigerian Bond Market," SAGE Open, , vol. 9(4), pages 21582440198, October.
    22. Nymand-Andersen, Per, 2018. "Yield curve modelling and a conceptual framework for estimating yield curves: evidence from the European Central Bank’s yield curves," Statistics Paper Series 27, European Central Bank.
    23. Andraž, Grum, 2006. "Razvitost slovenskega trga dolžniškega kapitala in ocenitev krivulje donosnosti," MPRA Paper 4876, University Library of Munich, Germany.
    24. Guidolin, Massimo & Thornton, Daniel L., 2018. "Predictions of short-term rates and the expectations hypothesis," International Journal of Forecasting, Elsevier, vol. 34(4), pages 636-664.
    25. Sarno, Lucio & Thornton, Daniel L & Valente, Giorgio, 2005. "The Empirical Failure of the Expectations Hypothesis of the Term Structure of Bond Yields," CEPR Discussion Papers 5259, C.E.P.R. Discussion Papers.
    26. Polychronis Manousopoulos & Michalis Michalopoulos, 2015. "Term structure of interest rates estimation using rational Chebyshev functions," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 119-146, October.
    27. Guidolin, Massimo & Thornton, Daniel L., 2008. "Predictions of short-term rates and the expectations hypothesis of the term structure of interest rates," Working Paper Series 977, European Central Bank.
    28. Juan Angel Garcia & Adrian van Rixtel, 2007. "Inflation-linked bonds from a central bank perspective," Occasional Papers 0705, Banco de España.
    29. Monique Reid, 2009. "Isolating a measure of inflation expectations for the South African financial market using forward interest rates," Working Papers 09/2009, Stellenbosch University, Department of Economics.
    30. Yvon Fauvel & Alain Paquet & Christian Zimmermann, 1999. "A Survey on Interest Rate Forecasting," Cahiers de recherche CREFE / CREFE Working Papers 87, CREFE, Université du Québec à Montréal.
    31. George J. Hall & Thomas J. Sargent, 2011. "Interest Rate Risk and Other Determinants of Post-WWII US Government Debt/GDP Dynamics," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 192-214, July.
    32. Marco Lyrio & Hans Dewachter, 2004. "Filtering Long-Run Inflation Expectations with a Structural Macro Model of the Yield Curve," Computing in Economics and Finance 2004 188, Society for Computational Economics.
    33. Julian Manzano & Jorgen Blomvall, 2004. "Positive forward rates in the maximum smoothness framework," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 221-232.
    34. Frank Skinner & Nicholas Papageorgiou, 2001. "Credit Spreads and the Treasury Zero Coupon Spot Curve," ICMA Centre Discussion Papers in Finance icma-dp2001-06, Henley Business School, University of Reading, revised Jul 2002.
    35. Saikat Nandi, 1998. "Valuation models for default-risky securities: An overview," Economic Review, Federal Reserve Bank of Atlanta, vol. 83(Q 4), pages 22-35.
    36. Ganchev, Alexander, 2009. "Modeling the yield curve of spot interest rates under the conditions in Bulgaria," MPRA Paper 70048, University Library of Munich, Germany.
    37. Nicola Anderson & John Sleath, 2001. "New estimates of the UK real and nominal yield curves," Bank of England working papers 126, Bank of England.
    38. J. Huston McCulloch & Levin A. Kochen, 1998. "The Inflation Premium Implicit in the US Real and Nominal Term Structures of Interest Rates," Working Papers 98-12, Ohio State University, Department of Economics.
    39. Andre d'Almeida Monteiro, 2010. "Estimating Interest Rate Curves by Support Vector Regression," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 717-753.
    40. Yallup, Peter J., 2012. "Models of the yield curve and the curvature of the implied forward rate function," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 121-135.
    41. Emiliano Delfau, 2017. "Métodos de Estimación de Curvas de Rendimiento Cupón Cero en Argentina," CEMA Working Papers: Serie Documentos de Trabajo. 623, Universidad del CEMA.
    42. Bent Jesper Christensen & Mads Markvart Kjær & Bezirgen Veliyev, 2021. "The incremental information in the yield curve about future interest rate risk," CREATES Research Papers 2021-11, Department of Economics and Business Economics, Aarhus University.
    43. Oliveira, Luís & Curto, José Dias & Nunes, João Pedro, 2012. "The determinants of sovereign credit spread changes in the Euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 278-304.
    44. C. Emre Alper & Aras Akdemir & Kazim Kazimov, 2004. "Estimating the Term Structure of Government Securities in Turkey," Working Papers 2004/03, Bogazici University, Department of Economics.
    45. Hattori, Takahiro & Miyake, Hiroki, 2016. "The Japan Municipal Bond Yield Curve: 2002 to the Present," MPRA Paper 69725, University Library of Munich, Germany.
    46. Faria, Adriano & Almeida, Caio, 2018. "A hybrid spline-based parametric model for the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 72-94.
    47. Marcelo Dabos & Federico Bugallo, 2000. "Term Structure of Interest Rates Changes during International Financial Crisis: The Case of Argentina vs. USA," Working Papers 25, Universidad de San Andres, Departamento de Economia, revised Apr 2000.
    48. Lucélia Vaz & Rodrigo Raad, 2021. "Functional data analysis for brazilian term structure of interest rate," Textos para Discussão Cedeplar-UFMG 638, Cedeplar, Universidade Federal de Minas Gerais.
    49. Hackworth, J.F., 2008. "Uncertainty and the yield curve," Economics Letters, Elsevier, vol. 98(3), pages 259-268, March.
    50. Daniel R. Kowal & David S. Matteson & David Ruppert, 2017. "A Bayesian Multivariate Functional Dynamic Linear Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 733-744, April.

  32. Daniel F. Waggoner & Tao Zha, 1997. "Normalization, probability distribution, and impulse responses," FRB Atlanta Working Paper 97-11, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    2. Daniel F. Waggoner & Tao Zha, 2000. "A Gibbs simulator for restricted VAR models," FRB Atlanta Working Paper 2000-3, Federal Reserve Bank of Atlanta.
    3. Afonso, António & Sousa, Ricardo M., 2009. "Fiscal policy, housing and stock prices," Working Paper Series 990, European Central Bank.
    4. Besnik Fetai, 2011. "Exchange Rate Pass-Through in Transition Economies: The Case of the Republic of Macedonia," William Davidson Institute Working Papers Series wp1014, William Davidson Institute at the University of Michigan.
    5. massimo franchi, 2002. "A Non-Causal Identification Scheme for Vector Autoregressions," Computing in Economics and Finance 2002 290, Society for Computational Economics.
    6. Del Negro, Marco & Obiols-Homs, Francesc, 2001. "Has Monetary Policy Been so Bad that It Is Better to Get Rid of It? The Case of Mexico," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(2), pages 404-433, May.
    7. Andrea Nobili & Stefano Neri, 2006. "The transmission of monetary policy shocks from the US to the euro area," Temi di discussione (Economic working papers) 606, Bank of Italy, Economic Research and International Relations Area.
    8. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    9. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    10. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
    11. Kim, Soyoung, 2001. "International transmission of U.S. monetary policy shocks: Evidence from VAR's," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 339-372, October.
    12. Andrzej Kociêcki, 2003. "On Priors for Impulse Responses in Bayesian Structural VAR Models," Econometrics 0307006, University Library of Munich, Germany.
    13. Zha, Tao, 1999. "Block recursion and structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 90(2), pages 291-316, June.

Articles

  1. Kaiji Chen & Haoyu Gao & Patrick Higgins & Daniel F. Waggoner & Tao Zha, 2023. "Monetary Stimulus amidst the Infrastructure Investment Spree: Evidence from China's Loan‐Level Data," Journal of Finance, American Finance Association, vol. 78(2), pages 1147-1204, April.
    See citations under working paper version above.
  2. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
    See citations under working paper version above.
  3. Koch, Timothy W. & Waggoner, Daniel F. & Wall, Larry D., 2018. "Incentive compensation, accounting discretion and bank capital," Journal of Economics and Business, Elsevier, vol. 95(C), pages 119-140.

    Cited by:

    1. Ahmed, Shaker & Ranta, Mikko & Vähämaa, Emilia & Vähämaa, Sami, 2023. "Facial attractiveness and CEO compensation: Evidence from the banking industry," Journal of Economics and Business, Elsevier, vol. 123(C).
    2. Luis Porcuna Enguix, 2021. "The New EU Remuneration Policy as Good but Not Desired Corporate Governance Mechanism and the Role of CSR Disclosing," Sustainability, MDPI, vol. 13(10), pages 1-35, May.
    3. Mijoo Lee & In Tae Hwang, 2019. "The Effect of the Compensation System on Earnings Management and Sustainability: Evidence from Korea Banks," Sustainability, MDPI, vol. 11(11), pages 1-24, June.

  4. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2018. "Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications," Econometrica, Econometric Society, vol. 86(2), pages 685-720, March.

    Cited by:

    1. Hristov, Nikolay & Roth, Markus, 2019. "Uncertainty shocks and financial crisis indicators," Discussion Papers 36/2019, Deutsche Bundesbank.
    2. Ha,Jongrim & Stocker,Marc & Yilmazkuday,Hakan, 2019. "Inflation and Exchange Rate Pass-Through," Policy Research Working Paper Series 8780, The World Bank.
    3. Luca Benati & Thomas A. Lubik, 2022. "Searching for Hysteresis," Working Paper 22-05, Federal Reserve Bank of Richmond.
    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. Mathilde Lebrand & Garima Vasishtha & Hakan Yilmazkuday, 2023. "Energy Price Shocks and Current Account Balances: Evidence from Emerging Market and Developing Economies," Working Papers 2305, Florida International University, Department of Economics.
    6. Nahiyan Azad & Apostolos Serletis, 2022. "Market Shocks in the G7 Countries," Open Economies Review, Springer, vol. 33(1), pages 33-60, February.
    7. Maximilian Böck & Martin Feldkircher & Florian Huber, 2020. "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R," Globalization Institute Working Papers 395, Federal Reserve Bank of Dallas.
    8. Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2021. "Speculative incentives to hoard aluminum: Relationship between capital gains and inventories," Resources Policy, Elsevier, vol. 70(C).
    9. Lutz Kilian & Xiaoqing Zhou, 2020. "Oil Prices, Gasoline Prices and Inflation Expectations: A New Model and New Facts," CESifo Working Paper Series 8516, CESifo.
    10. Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
    11. Sebastian K. Rüth & Wouter Van der Veken, 2023. "Monetary policy and exchange rate anomalies in set‐identified SVARs: Revisited," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 1085-1092, November.
    12. Neri, Stefano, 2023. "Long-term inflation expectations and monetary policy in the euro area before the pandemic," European Economic Review, Elsevier, vol. 154(C).
    13. Nelson Lind & Natalia Ramondo, 2018. "Trade with Correlation," NBER Working Papers 24380, National Bureau of Economic Research, Inc.
    14. Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023. "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 95-122, February.
    15. Lian An & Mark A. Wynne & Ren Zhang, 2020. "Shock-Dependent Exchange Rate Pass-Through: Evidence Based on a Narrative Sign Approach," Globalization Institute Working Papers 379, Federal Reserve Bank of Dallas.
    16. Ataur Rahaman & Roberto Leon-Gonzalez, 2020. "The Effects of Fiscal Policy Shocks in Bangladesh: An Agnostic Identification Procedure," GRIPS Discussion Papers 20-08, National Graduate Institute for Policy Studies.
    17. Bahaj, Saleem & Czech, Robert & Ding, Sitong & Reis, Ricardo, 2023. "The market for inflation risk," Bank of England working papers 1028, Bank of England.
    18. Kaufmann, Christoph, 2021. "Investment funds, monetary policy, and the global financial cycle," ESRB Working Paper Series 119, European Systemic Risk Board.
    19. Xiwen Bai & Jesús Fernández-Villaverde & Yiliang Li & Francesco Zanetti, 2024. "The Causal Effects of Global Supply Chain Disruptions on Macroeconomic Outcomes: Evidence and Theory," CESifo Working Paper Series 10930, CESifo.
    20. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 2021-09, FEDEA.
    21. 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.
    22. Martin Geiger & Johann Scharler, 2021. "How Do People Interpret Macroeconomic Shocks? Evidence from U.S. Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 813-843, June.
    23. 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.
    24. Thomas A. Lubik & Christian Matthes & Fabio Verona, 2019. "Assessing U.S. Aggregate Fluctuations Across Time and Frequencies," Working Paper 19-6, Federal Reserve Bank of Richmond.
    25. Bassanin, Marzio & Faia, Ester & Patella, Valeria, 2021. "Ambiguity attitudes and the leverage cycle," Journal of International Economics, Elsevier, vol. 129(C).
    26. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
    27. Max Breitenlechner & Georgios Georgiadis & Ben Schumann, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," GRU Working Paper Series GRU_2021_003, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    28. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    29. Brubakk, Leif & ter Ellen, Saskia & Robstad, Ørjan & Xu, Hong, 2019. "The macroeconomic effects of forward communication," Working Paper 2019/20, Norges Bank.
    30. Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, Queen Mary University of London, School of Economics and Finance.
    31. Etienne Vaccaro-Grange, 2019. "Quantitative Easing and the Term Premium as a Monetary Policy Instrument," Working Papers halshs-02359503, HAL.
    32. Kilian, Lutz & Zhou, Xiaoqing, 2020. "Does drawing down the U.S. strategic petroleum reserve help stabilize oil prices?," CFS Working Paper Series 647, Center for Financial Studies (CFS).
    33. Hilde C. Bjornland & Malin C. Jensen & Leif Anders Thorsrud, 2024. "Business Cycle and Health Dynamics during the COVID-19 Pandemic: A Scandinavian Perspective," CAMA Working Papers 2024-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    34. Kovalenko, Tim & Töpfer, Marina, 2021. "Cyclical dynamics and the gender pay gap: A structural VAR approach," Economic Modelling, Elsevier, vol. 99(C).
    35. Ifrim, Adrian, 2023. "Sentimental Discount Rate Shocks," EconStor Preprints 268363, ZBW - Leibniz Information Centre for Economics.
    36. Chiţu, Livia & Grothe, Magdalena & Schulze, Tatjana & Van Robays, Ine, 2023. "Financial shock transmission to heterogeneous firms: the earnings-based borrowing constraint channel," Working Paper Series 2860, European Central Bank.
    37. Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
    38. Kilian, Lutz & Zhou, Xiaoqing, 2022. "The impact of rising oil prices on U.S. inflation and inflation expectations in 2020–23," Energy Economics, Elsevier, vol. 113(C).
    39. Budnik, Katarzyna & Groß, Johannes & Vagliano, Gianluca & Dimitrov, Ivan & Lampe, Max & Panos, Jiri & Velasco, Sofia & Boucherie, Louis & Jančoková, Martina, 2023. "BEAST: A model for the assessment of system-wide risks and macroprudential policies," Working Paper Series 2855, European Central Bank.
    40. Laumer, Sebastian, 2020. "Government spending and heterogeneous consumption dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    41. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    42. Budnik, Katarzyna & Balatti, Mirco & Dimitrov, Ivan & Groß, Johannes & Kleemann, Michael & Reichenbachas, Tomas & Sanna, Francesco & Sarychev, Andrei & Siņenko, Nadežda & Volk, Matjaz, 2020. "Banking euro area stress test model," Working Paper Series 2469, European Central Bank.
    43. Coenen, Günter & Montes-Galdón, Carlos & Saint Guilhem, Arthur & Hutchinson, John & Motto, Roberto, 2022. "Rate forward guidance in an environment of large central bank balance sheets: a Eurosystem stock-taking assessment," Occasional Paper Series 290, European Central Bank.
    44. Gondo, Rocío & Pérez, Fernando, 2019. "Cross-Border flows and the effect of Global Financial shocks in Latin America," Working Papers 2019-020, Banco Central de Reserva del Perú.
    45. Ugo Albertazzi & Andrea Nobili & Federico M. Signoretti, 2021. "The Bank Lending Channel of Conventional and Unconventional Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(2-3), pages 261-299, March.
    46. David S. Jacks & Martin Stuermer, 2021. "Dry Bulk Shipping and the Evolution of Maritime Transport Costs, 1850-2020," Working Papers 2102, Federal Reserve Bank of Dallas.
    47. Agostino Consolo & Filippos Petroulakis, 2022. "Did COVID-19 induce a reallocation wave?," Working Papers 295, Bank of Greece.
    48. Francesco Furlanetto & Antoine Lepetit & Ørjan Robstad & Juan F. Rubio-Ramirez & Pål Ulvedal, 2021. "Estimating Hysteresis Effects," Finance and Economics Discussion Series 2021-059, Board of Governors of the Federal Reserve System (U.S.).
    49. Ellington, Michael, 2018. "The case for Divisia monetary statistics: A Bayesian time-varying approach," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 26-41.
    50. Justyna Wr'oblewska & {L}ukasz Kwiatkowski, 2024. "Identification of structural shocks in Bayesian VEC models with two-state Markov-switching heteroskedasticity," Papers 2406.03053, arXiv.org, revised Jun 2024.
    51. Marek A. Dąbrowski & Łukasz Kwiatkowski & Justyna Wróblewska, 2020. "Sources of Real Exchange Rate Variability in Central and Eastern European Countries: Evidence from Structural Bayesian MSH-VAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(4), pages 369-412, December.
    52. Antonello D'Agostino & Caterina Mendicino & Federico Puglisi, 2022. "Expectation‐Driven Cycles and the Changing Dynamics of Unemployment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(7), pages 2173-2191, October.
    53. Matthew Read, 2021. "Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions," Papers 2109.10676, arXiv.org, revised Jan 2022.
    54. Hyeon‐seung Huh & David Kim, 2021. "The risk‐taking channel of currency appreciation: A structural VAR investigation of Asian emerging market economies," International Finance, Wiley Blackwell, vol. 24(3), pages 313-331, December.
    55. Rünstler, Gerhard & Bräuer, Leonie, 2020. "Monetary policy transmission over the leverage cycle: evidence for the euro area," Working Paper Series 2421, European Central Bank.
    56. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    57. Vacca, Valerio Paolo & Bichlmeier, Fabian & Biraschi, Paolo & Boschi, Natalie & Álvarez, Antonio J. Bravo & Di Primio, Luciano & Ebner, André & Hoeretzeder, Silvia & Ballesteros, Elisa Llorente & Mian, 2021. "Measuring the impact of a bank failure on the real economy: an EU-wide analytical framework," ESRB Working Paper Series 122, European Systemic Risk Board.
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    214. Yadav, Jayant, 2020. "Flight to Safety in Business cycles," MPRA Paper 104093, University Library of Munich, Germany.
    215. Gianluca Cafiso, 2022. "Loans to Different Groups and Economic Activity at Times of Crisis and Growth," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 594-623, June.
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    218. Gan‐Ochir Doojav & Davaasukh Damdinjav, 2023. "The macroeconomic effects of unconventional monetary policies in a commodity‐exporting economy: Evidence from Mongolia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4627-4654, October.
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    220. García-Albán, Freddy & González-Astudillo, Manuel & Vera-Avellán, Cristhian, 2021. "Good policy or good luck? Analyzing the effects of fiscal policy and oil revenue shocks in Ecuador," Energy Economics, Elsevier, vol. 100(C).
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    222. Shesadri Banerjee & M S Mohanty, 2021. "US monetary policy and the financial channel of the exchange rate: evidence from India," BIS Working Papers 945, Bank for International Settlements.
    223. Patella, Valeria & Tancioni, Massimiliano, 2021. "Confidence Swings and Sovereign Risk Dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 195-206.
    224. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    225. Holtemöller, Oliver & Rieth, Malte, 2021. "Wirtschaftliche Mobilität dürfte nach Lockerung deutlich steigen – aber auch die Zahl der COVID-19-Fälle," IWH Policy Notes 3/2021, Halle Institute for Economic Research (IWH).
    226. Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
    227. Brandt, Lennart & Saint Guilhem, Arthur & Schröder, Maximilian & Van Robays, Ine, 2021. "What drives euro area financial market developments? The role of US spillovers and global risk," Working Paper Series 2560, European Central Bank.
    228. Luigi Infante & Francesca Lilla & Francesco Vercelli, 2023. "The effects of the pandemic on households' financial savings: a Bayesian structural VAR analysis," Temi di discussione (Economic working papers) 1421, Bank of Italy, Economic Research and International Relations Area.
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  5. Andrew Foerster & Juan F. Rubio‐Ramírez & Daniel F. Waggoner & Tao Zha, 2016. "Perturbation methods for Markov‐switching dynamic stochastic general equilibrium models," Quantitative Economics, Econometric Society, vol. 7(2), pages 637-669, July.
    See citations under working paper version above.
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    Cited by:

    1. Kaiji Chen & Patrick C. Higgins & Tao Zha, 2020. "Cyclical Lending Standards: A Structural Analysis," NBER Working Papers 27214, National Bureau of Economic Research, Inc.
    2. Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
    3. Li, Yong & Wang, Nianling & Yu, Jun, 2019. "Improved Marginal Likelihood Estimation via Power Posteriors and Importance Sampling," Economics and Statistics Working Papers 16-2019, Singapore Management University, School of Economics.
    4. Hee Soo (test record) Kim & Christian Matthes & Toan Phan, 2011. "Extreme Weather and the Macroeconomy," Working Paper 21-14, Federal Reserve Bank of Richmond.
    5. Kirstin Hubrich & Daniel F. Waggoner, 2022. "The transmission of financial shocks and leverage of financial institutions: An endogenous regime switching framework," Finance and Economics Discussion Series 2022-034, Board of Governors of the Federal Reserve System (U.S.).
    6. Kaiji Chen & Patrick Higgins & Tao Zha, 2020. "Online Appendix to "Cyclical Lending Standards: A Structural Analysis"," Online Appendices 18-201, Review of Economic Dynamics.
    7. Andrle, Michal & Plašil, Miroslav, 2018. "Econometrics with system priors," Economics Letters, Elsevier, vol. 172(C), pages 134-137.
    8. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.

  7. Chun Chang & Kaiji Chen & Daniel F. Waggoner & Tao Zha, 2016. "Trends and Cycles in China's Macroeconomy," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 1-84.
    See citations under working paper version above.
  8. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    See citations under working paper version above.
  9. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    See citations under working paper version above.
  10. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2011. "Sources of macroeconomic fluctuations: A regime‐switching DSGE approach," Quantitative Economics, Econometric Society, vol. 2(2), pages 251-301, July.

    Cited by:

    1. Saijo, Hikaru, 2017. "The uncertainty multiplier and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 1-25.
    2. Julien Albertini & Hong Lan, 2016. "The importance of time-varying parameters in new Keynesian models with zero lower bound," SFB 649 Discussion Papers SFB649DP2016-013, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    4. Liu, Zheng & Spiegel, Mark M. & Zhang, Jingyi, 2023. "Capital flows and income inequality," Journal of International Economics, Elsevier, vol. 144(C).
    5. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    6. Gabriela Castro & Ricardo M. Felix & Paulo Julio & Jose R. Maria, 2014. "Fiscal multipliers in a small euro area economy: How big can they get in crisis times?," CEFAGE-UE Working Papers 2014_07, University of Evora, CEFAGE-UE (Portugal).
    7. Paul Beaudry & Franck Portier, 2013. "Understanding Noninflationary Demand-Driven Business Cycles," NBER Chapters, in: NBER Macroeconomics Annual 2013, Volume 28, pages 69-130, National Bureau of Economic Research, Inc.
    8. Yoosoon Chang & Junior Maih & Fei Tan, 2018. "State Space Models with Endogenous Regime Switching," Working Papers No 9/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Kilian, Lutz & Inoue, Atsushi & Guerron-Quintana, Pablo A., 2014. "Impulse Response Matching Estimators for DSGE Models," CEPR Discussion Papers 10298, C.E.P.R. Discussion Papers.
    10. Jason Choi & Andrew Foerster, 2021. "Optimal Monetary Policy Regime Switches," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 333-346, October.
    11. Lhuissier Stéphane, 2022. "Financial Conditions and Macroeconomic Downside Risks in the Euro Area," Working papers 863, Banque de France.
    12. Seonghoon Cho & Koen Inghelbrecht & Geert Bekaert & Antonio Moreno & Lieven Baele, 2011. "Macroeconomic Regimes," 2011 Meeting Papers 817, Society for Economic Dynamics.
    13. Ciccarone, Giuseppe & Giuli, Francesco & Marchetti, Enrico & Tancioni, Massimiliano, 2020. "Leaning against the bubble. Can theoretical models match the empirical evidence?," MPRA Paper 105004, University Library of Munich, Germany.
    14. Zha, Tao & Rubio-Ramírez, Juan Francisco & , & Foerster, Andrew, 2013. "Perturbation Methods for Markov-Switching DSGE Models," CEPR Discussion Papers 9464, C.E.P.R. Discussion Papers.
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    16. Chen, Han, 2017. "The effects of the near-zero interest rate policy in a regime-switching dynamic stochastic general equilibrium model," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 176-192.
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    47. Borovicka, J. & Hansen, L.P., 2016. "Term Structure of Uncertainty in the Macroeconomy," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1641-1696, Elsevier.
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    49. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
    50. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    51. Chuku Chuku & Paul Middleditch, 2016. "Characterizing monetary and fiscal policy rules and interactions when commodity prices matter," Centre for Growth and Business Cycle Research Discussion Paper Series 222, Economics, The University of Manchester.
    52. Choi, Jinho & Hur, Joonyoung, 2015. "An examination of macroeconomic fluctuations in Korea exploiting a Markov-switching DSGE approach," Economic Modelling, Elsevier, vol. 51(C), pages 183-199.
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    55. Foroni, Claudia & Gelain, Paolo & Marcellino, Massimiliano, 2022. "The financial accelerator mechanism: does frequency matter?," Working Paper Series 2637, European Central Bank.
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    62. Moura, Alban, 2021. "Are neutral and investment-specific technology shocks correlated?," European Economic Review, Elsevier, vol. 139(C).
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    86. Nadja Simone Menezes Nery de Oliveira & Paulo Reis Mourao, 2021. "Taylor’s rule, political cycle, and Latin America—An analysis of time series in search of responsibility for monetary stabilization," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-22, December.
    87. Benati, Luca, 2014. "Do TFP and the relative price of investment share a common I(1) component?," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 239-261.
    88. Higgins, C. Richard, 2017. "Estimating general equilibrium models with stochastic volatility and changing parameters," Economic Modelling, Elsevier, vol. 66(C), pages 163-170.
    89. Liao, Shian-Yu & Chen, Been-Lon, 2023. "News shocks to investment-specific technology in business cycles," European Economic Review, Elsevier, vol. 152(C).
    90. Josef Hollmayr & Christian Matthes, 2015. "Tales of Transition Paths: Policy Uncertainty and Random Walks," Working Paper 15-11, Federal Reserve Bank of Richmond.
    91. Sun, Weihong & Liu, Ding, 2023. "Great moderation with Chinese characteristics: Uncovering the role of monetary policy," Economic Modelling, Elsevier, vol. 121(C).
    92. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.
    93. Endres, Sylvia & Stübinger, Johannes, 2018. "A flexible regime switching model with pairs trading application to the S&P 500 high-frequency stock returns," FAU Discussion Papers in Economics 07/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    94. Ragna Alstadheim, 2013. "How New Keynesian is the US Phillips curve?," Working Paper 2013/25, Norges Bank.
    95. Gianni Amisano & Oreste Tristani, 2023. "Monetary policy and long‐term interest rates," Quantitative Economics, Econometric Society, vol. 14(2), pages 689-716, May.
    96. Adugna Olani, 2016. "Dynamic Capital Inflow Transmission Of Monetary Policy To Emerging Markets," Working Paper 1358, Economics Department, Queen's University.
    97. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.

  11. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    See citations under working paper version above.
  12. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2010. "Generalizing the Taylor Principle: Comment," American Economic Review, American Economic Association, vol. 100(1), pages 608-617, March.
    See citations under working paper version above.
  13. Roger E. A. Farmer & Daniel F. Waggoner & Tao Zha, 2009. "Indeterminacy in a forward‐looking regime switching model," International Journal of Economic Theory, The International Society for Economic Theory, vol. 5(1), pages 69-84, March.
    See citations under working paper version above.
  14. Zheng Liu & Daniel Waggoner & Tao Zha, 2009. "Asymmetric Expectation Effects of Regime Shifts in Monetary Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 284-303, April.
    See citations under working paper version above.
  15. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2009. "Understanding Markov-switching rational expectations models," Journal of Economic Theory, Elsevier, vol. 144(5), pages 1849-1867, September.
    See citations under working paper version above.
  16. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
    See citations under working paper version above.
  17. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    See citations under working paper version above.
  18. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2006. "Transparency, expectations and forecasts," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 1), pages 1-25.
    See citations under working paper version above.
  19. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2003. "Forecast evaluation with cross-sectional data: The Blue Chip Surveys," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q2), pages 17-31.

    Cited by:

    1. Michael K Andersson & Ted Aranki & André Reslow, 2017. "Adjusting for information content when comparing forecast performance," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 784-794, November.
    2. Leon W. Berkelmans, 2008. "Imperfect information and monetary models: multiple shocks and their consequences," Finance and Economics Discussion Series 2008-58, Board of Governors of the Federal Reserve System (U.S.).
    3. Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Multivariate Forecasts from a Bayesian GVAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112999, Verein für Socialpolitik / German Economic Association.
    4. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2006. "Transparency, expectations, and forecasts," FRB Atlanta Working Paper 2006-03, Federal Reserve Bank of Atlanta.
    5. Michael B. Devereux & Gregor W. Smith & James Yetman, 2009. "Consumption and Real Exchange Rates in Professional Forecasts," NBER Working Papers 14795, National Bureau of Economic Research, Inc.
    6. Spencer D. Krane, 2011. "Professional Forecasters' View of Permanent and Transitory Shocks to GDP," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 184-211, January.
    7. Tara M. Sinclair & Hans Christian Müller-Dröge & Herman Stekler, 2014. "Evaluating Forecasts of a Vector of Variables: A German Forecasting Competition," Working Papers 2014-17, The George Washington University, Institute for International Economic Policy.
    8. P. Andrade & R. Crump & S. Eusepi & E. Moench, 2014. "Fundamental disagreement," Working papers 524, Banque de France.
    9. Olga Isengildina‐Massa & Berna Karali & Todd H. Kuethe & Ani L. Katchova, 2021. "Joint Evaluation of the System of USDA's Farm Income Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(3), pages 1140-1160, September.
    10. Baghestani, Hamid, 2006. "An evaluation of the professional forecasts of U.S. long-term interest rates," Review of Financial Economics, Elsevier, vol. 15(2), pages 177-191.
    11. Berkelmans, Leon, 2011. "Imperfect information, multiple shocks, and policy's signaling role," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 373-386.
    12. Stefano Eusepi & Richard Crump & Emanuel Moench & Philippe Andrade, 2014. "Noisy Information and Fundamental Disagreement," 2014 Meeting Papers 797, Society for Economic Dynamics.
    13. Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2016. "Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 86-100.
    14. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria [The revolution in economic data and panel econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
    15. Kirdan Lees, 2016. "Assessing forecast performance," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 79, pages 1-19., June.
    16. Jon Huntley & Eric Miller, 2009. "An Evaluation of CBO Forecasts: Working Paper 2009-02," Working Papers 41195, Congressional Budget Office.
    17. Spencer D. Krane, 2006. "How professional forecasters view shocks to GDP," Working Paper Series WP-06-19, Federal Reserve Bank of Chicago.
    18. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    19. Carvalho, Fabia A. & Minella, André, 2012. "Survey forecasts in Brazil: A prismatic assessment of epidemiology, performance, and determinants," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1371-1391.
    20. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    21. Frank A.G. den Butter & Pieter W. Jansen, 2008. "Beating the Random Walk: a Performance Assessment of Long-term Interest Rate Forecasts," Tinbergen Institute Discussion Papers 08-102/3, Tinbergen Institute.

  20. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.

    Cited by:

    1. Mackowiak, Bartosz & Jarocinski, Marek, 2013. "Granger-Causal-Priority and Choice of Variables in Vector Autoregressions," CEPR Discussion Papers 9686, C.E.P.R. Discussion Papers.
    2. Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2024. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 825-837, April.
    3. Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
    4. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    5. Arefiev, Nikolay & Khabibullin, Ramis, 2018. "Bayesian identification of structural vector autoregression models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 115-142.
    6. Rossanto Dwi HANDOYO & Mansor JUSOH & Mohd. Azlan SHAH ZAIDI, 2015. "Impact of Monetary Policy and Fiscal Policy on Indonesian Stock Market," Expert Journal of Economics, Sprint Investify, vol. 3(2), pages 113-126.
    7. Schüler, Yves S. & Fink, Fabian, 2013. "The Transmission of US Financial Stress: Evidence for Emerging Market Economies," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79692, Verein für Socialpolitik / German Economic Association.
    8. Stéphane Lhuissier & Fabien Tripier, 2016. "Do Uncertainty Shocks Always Matter for Business Cycles?," Working Papers 2016-19, CEPII research center.
    9. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    10. Rokon Bhuiyan, 2014. "The Effects of Monetary Policy Shocks in the USA: A Forecast-Augmented VAR Approach," Australian Economic Papers, Wiley Blackwell, vol. 53(3-4), pages 139-152, December.
    11. Andrew Binning & Junior Maih, 2015. "Applying Flexible Parameter Restrictions in Markov-Switching Vector Autoregression Models," Working Papers No 12/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    12. Eric M. Leeper & Tao Zha, 2001. "Assessing simple policy rules: A view from a complete macroeconomic model," Economic Review, Federal Reserve Bank of Atlanta, vol. 86(Q4), pages 35-58.
    13. Marcellino, Massimiliano & Carriero, Andrea & Tornese, Tommaso, 2022. "Blended Identification in Structural VARs," CEPR Discussion Papers 17640, C.E.P.R. Discussion Papers.
    14. Eric M. Leeper & Tao Zha, 1999. "Modest policy interventions," FRB Atlanta Working Paper 99-22, Federal Reserve Bank of Atlanta.
    15. Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2014. "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," International Finance Discussion Papers 1100, Board of Governors of the Federal Reserve System (U.S.).
    16. Afanasyeva, Elena, 2012. "Atypical Behavior of Money and Credit: Evidence From Conditional Forecasts," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 65405, Verein für Socialpolitik / German Economic Association.
    17. Lhuissier, Stéphane, 2017. "Financial intermediaries’ instability and euro area macroeconomic dynamics," European Economic Review, Elsevier, vol. 98(C), pages 49-72.
    18. Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Paper series 20-09, Rimini Centre for Economic Analysis.
    19. Checherita-Westphal, Cristina & Klemm, Alexander & Viefers, Paul, 2016. "Governments’ payment discipline: The macroeconomic impact of public payment delays and arrears," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 147-165.
    20. Yang, Shu-Chun Susan, 2007. "Tentative evidence of tax foresight," Economics Letters, Elsevier, vol. 96(1), pages 30-37, July.
    21. Jennifer E. Roush, 2001. "Evidence uncovered: long-term interest rates, monetary policy, and the expectations theory," International Finance Discussion Papers 712, Board of Governors of the Federal Reserve System (U.S.).
    22. Rokon Bhuiyan, 2012. "Monetary transmission mechanisms in a small open economy: a Bayesian structural VAR approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 1037-1061, August.
    23. Villani, Mattias, 2005. "Inference in Vector Autoregressive Models with an Informative Prior on the Steady State," Working Paper Series 181, Sveriges Riksbank (Central Bank of Sweden).
    24. Kizys, Renatas & Paltalidis, Nikos & Vergos, Konstantinos, 2016. "The quest for banking stability in the euro area: The role of government interventions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 111-133.
    25. Ms. Margaux MacDonald & Michał Ksawery Popiel, 2017. "Unconventional Monetary Policy in a Small Open Economy," IMF Working Papers 2017/268, International Monetary Fund.
    26. Ca' Zorzi, Michele & Kocięcki, Andrzej & Rubaszek, Michał, 2015. "Bayesian forecasting of real exchange rates with a Dornbusch prior," Economic Modelling, Elsevier, vol. 46(C), pages 53-60.
    27. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," FRB Atlanta Working Paper 2005-27, Federal Reserve Bank of Atlanta.
    28. Villani, Mattias & Warne, Anders, 2003. "Monetary Policy Analysis in a Small Open Economy using Bayesian Cointegrated Structural VARs," Working Paper Series 156, Sveriges Riksbank (Central Bank of Sweden).
    29. Andrea Nobili & Stefano Neri, 2006. "The transmission of monetary policy shocks from the US to the euro area," Temi di discussione (Economic working papers) 606, Bank of Italy, Economic Research and International Relations Area.
    30. Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating Overidentified, Nonrecursive Time-Varying Coefficients Structural VARs," Working Papers 637, Barcelona School of Economics.
    31. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    32. Korobilis, Dimitris, 2009. "Assessing the transmission of monetary policy using dynamic factor models," MPRA Paper 27593, University Library of Munich, Germany, revised Nov 2010.
    33. Alba Carlos & Cuadra Gabriel & Ibarra Raúl, 2023. "Effects of the Extraordinary Measures Implemented by Banco de México during the COVID-19 Pandemic on Financial Conditions," Working Papers 2023-03, Banco de México.
    34. George, Edward I. & Sun, Dongchu & Ni, Shawn, 2008. "Bayesian stochastic search for VAR model restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 553-580, January.
    35. Fink, Fabian & Schüler, Yves S., 2015. "The transmission of US systemic financial stress: Evidence for emerging market economies," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 6-26.
    36. Kociecki, Andrzej, 2013. "Towards Understanding the Normalization in Structural VAR Models," MPRA Paper 47645, University Library of Munich, Germany.
    37. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    38. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
    39. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    40. Götz, T.B. & Hecq, A.W. & Smeekes, S., 2015. "Testing for Granger Causality in Large Mixed-Frequency VARs," Research Memorandum 036, Maastricht University, Graduate School of Business and Economics (GSBE).
    41. Jackson, Laura E. & Owyang, Michael T. & Zubairy, Sarah, 2018. "Debt and stabilization policy: Evidence from a Euro Area FAVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 67-91.
    42. Mauro Sayar Ferreira & André Cordeiro Valério, 2020. "Global shocks and emerging economies: disentangling the commodity roller coaster," Textos para Discussão Cedeplar-UFMG 623, Cedeplar, Universidade Federal de Minas Gerais.
    43. Chris Bloor & Troy Matheson, 2010. "Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand," Empirical Economics, Springer, vol. 39(2), pages 537-558, October.
    44. Ms. Grace B Li & Mr. Stephen A. O'Connell & Mr. Christopher S Adam & Mr. Andrew Berg & Mr. Peter J Montiel, 2016. "VAR meets DSGE: Uncovering the Monetary Transmission Mechanism in Low-Income Countries," IMF Working Papers 2016/090, International Monetary Fund.
    45. Rokon Bhuiyan, 2012. "Monetary transmission mechanisms in a small open economy: a Bayesian structural VAR approach," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 1037-1061, August.
    46. Eric M. Leeper & Tao Zha, 2000. "Assessing simple policy rules: a view from a complete macro model," FRB Atlanta Working Paper 2000-19, Federal Reserve Bank of Atlanta.
    47. Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
    48. Bloor, Chris & Matheson, Troy, 2011. "Real-time conditional forecasts with Bayesian VARs: An application to New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 26-42, January.
    49. Christopher A. Sims & Tao Zha, 2004. "MCMC method for Markov mixture simultaneous-equation models: a note," FRB Atlanta Working Paper 2004-15, Federal Reserve Bank of Atlanta.
    50. Ferreira, Mauro Sayar & Valério, André Cordeiro, 2023. "Global Shocks and Emerging Economies: Disentangling the Commodity Roller Coaster," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 76(3), February.
    51. Neville Francis & Michael T. Owyang & Tatevik Sekhposyan, 2009. "The local effects of monetary policy," Working Papers 2009-048, Federal Reserve Bank of St. Louis.
    52. Voss, G.M. & Willard, L.B., 2009. "Monetary policy and the exchange rate: Evidence from a two-country model," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 708-720, December.
    53. Mark Bognanni & Edward P. Herbst, 2014. "Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach," Working Papers (Old Series) 1427, Federal Reserve Bank of Cleveland.
    54. Helmut Lutkepohl & Fei Shang & Luis Uzeda & Tomasz Wo'zniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Papers 2404.11057, arXiv.org.
    55. Satoshi Tezuka & Yoichi Matsubayashi, 2018. "Credit Spread, Financial Market and Real Activities under Financial Instability: Empirical Evidence with MS-SBVAR," Discussion Papers 1812, Graduate School of Economics, Kobe University.
    56. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
    57. Mestiri, Sami, 2019. "Bayesian Structural VAR Approach to Tunisian Monetary Policy Framework," MPRA Paper 91357, University Library of Munich, Germany.
    58. Adolfson, Malin & Andersson, Michael K. & Lindé, Jesper & Villani, Mattias & Vredin, Anders, 2005. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," Working Paper Series 188, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2006.
    59. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    60. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series) 1617, Federal Reserve Bank of Cleveland.
    61. Christopher A. Sims & Tao Zha, 2002. "Macroeconomic switching," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    62. Gregor Semieniuk & Ellis Scharfenaker, 2014. "A Bayesian Latent Variable Mixture Model for Filtering Firm Profit Rate," SCEPA working paper series. 2014-1, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    63. Butkiewicz, James L. & Solcan, Mihaela, 2016. "The original Operation Twist: the War Finance Corporation's war bond purchases, 1918–1920," Financial History Review, Cambridge University Press, vol. 23(1), pages 21-46, April.
    64. Kociecki, Andrzej & Rubaszek, Michał & Ca' Zorzi, Michele, 2012. "Bayesian analysis of recursive SVAR models with overidentifying restrictions," Working Paper Series 1492, European Central Bank.
    65. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2019. "Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors," Journal of Econometrics, Elsevier, vol. 212(1), pages 137-154.
    66. Tim Robinson, 2013. "Estimating and Identifying Empirical BVAR-DSGE Models for Small Open Economies," RBA Research Discussion Papers rdp2013-06, Reserve Bank of Australia.
    67. Annika Camehl & Tomasz Wo'zniak, 2023. "Time-Varying Identification of Monetary Policy Shocks," Papers 2311.05883, arXiv.org, revised May 2024.
    68. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.
    69. Meeks, Roland, 2017. "Capital regulation and the macroeconomy: Empirical evidence and macroprudential policy," European Economic Review, Elsevier, vol. 95(C), pages 125-141.
    70. Jetro Anttonen & Markku Lanne & Jani Luoto, 2024. "Statistically identified structural VAR model with potentially skewed and fat‐tailed errors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 422-437, April.
    71. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    72. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.

  21. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    See citations under working paper version above.
  22. Saikat Nandi & Daniel F. Waggoner, 2000. "Issues in hedging options positions," Economic Review, Federal Reserve Bank of Atlanta, vol. 85(Q1), pages 24-39.

    Cited by:

    1. Saikat Nandi & Daniel F. Waggoner, 2001. "The risks and rewards of selling volatility," Economic Review, Federal Reserve Bank of Atlanta, vol. 86(Q1), pages 31-39.
    2. Chris Becker & Daniel Fabbro, 2006. "Limiting Foreign Exchange Exposure through Hedging: The Australian Experience," RBA Research Discussion Papers rdp2006-09, Reserve Bank of Australia.

  23. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    See citations under working paper version above.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Chun Chang & Kaiji Chen & Daniel F. Waggoner & Tao Zha, 2015. "Trends and Cycles in China's Macroeconomy," NBER Chapters, in: NBER Macroeconomics Annual 2015, Volume 30, pages 1-84, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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