Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference
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- 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.
References listed on IDEAS
- Kastner, Gregor & Frühwirth-Schnatter, Sylvia, 2014.
"Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models,"
Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 408-423.
- Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017. "Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models," Papers 1706.05280, arXiv.org.
- Timothy Cogley & Thomas J. Sargent, 2005.
"Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
- Timothy Cogley & Thomas Sargent, "undated". "Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII US," Working Papers 2133503, Department of Economics, W. P. Carey School of Business, Arizona State University.
- Timothy Cogley & Thomas J. Sargent, 2003. "Drifts and volatilities: monetary policies and outcomes in the post WWII U.S," FRB Atlanta Working Paper 2003-25, Federal Reserve Bank of Atlanta.
- Roberto Rigobon & Brian Sack, 2003.
"Measuring The Reaction of Monetary Policy to the Stock Market,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 639-669.
- Roberto Rigobon & Brian Sack, 2001. "Measuring the Reaction of Monetary Policy to the Stock Market," NBER Working Papers 8350, National Bureau of Economic Research, Inc.
- Roberto Rigobon & Brian P. Sack, 2001. "Measuring the reaction of monetary policy to the stock market," Finance and Economics Discussion Series 2001-14, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2021. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Papers 2111.07225, arXiv.org.
- Andrew Mountford & Harald Uhlig, 2009.
"What are the effects of fiscal policy shocks?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 960-992.
- Mountford, A.W. & Uhlig, H.F.H.V.S., 2002. "What are the Effects of Fiscal Policy Shocks?," Other publications TiSEM af6a2f09-0045-471e-bba4-b, Tilburg University, School of Economics and Management.
- Mountford, Andrew & Uhlig, Harald, 2005. "What are the effects of fiscal policy shocks?," SFB 649 Discussion Papers 2005-039, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Andrew Mountford & Harald Uhlig, 2008. "What are the Effects of Fiscal Policy Shocks?," NBER Working Papers 14551, National Bureau of Economic Research, Inc.
- Uhlig, Harald & Mountford, Andrew, 2002. "What are the Effects of Fiscal Policy Shocks?," CEPR Discussion Papers 3338, C.E.P.R. Discussion Papers.
- Mountford, A.W. & Uhlig, H.F.H.V.S., 2002. "What are the Effects of Fiscal Policy Shocks?," Discussion Paper 2002-31, Tilburg University, Center for Economic Research.
- Tom Doan, "undated". "RATS programs to replicate Mountford and Uhlig JAE 2009 sign-constrained VAR," Statistical Software Components RTZ00121, Boston College Department of Economics.
- Lütkepohl, Helmut & Milunovich, George, 2016.
"Testing for identification in SVAR-GARCH models,"
Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 241-258.
- Luetkepohl, Helmut & Milunovich, George, 2015. "Testing for identification in SVAR-GARCH models," SFB 649 Discussion Papers 2015-030, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Waggoner, Daniel F. & Zha, Tao, 2003.
"Likelihood preserving normalization in multiple equation models,"
Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
- Daniel F. Waggoner & Tao Zha, 2000. "Likelihood-preserving normalization in multiple equation models," FRB Atlanta Working Paper 2000-8, Federal Reserve Bank of Atlanta.
- Markku Lanne & Jani Luoto, 2021. "GMM Estimation of Non-Gaussian Structural Vector Autoregression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 69-81, January.
- Herwartz, Helmut & Lütkepohl, Helmut, 2014.
"Structural vector autoregressions with Markov switching: Combining conventional with statistical identification of shocks,"
Journal of Econometrics, Elsevier, vol. 183(1), pages 104-116.
- Helmut Herwartz & Helmut Luetkepohl, 2011. "Structural Vector Autoregressions with Markov Switching: Combining Conventional with Statistical Identification of Shocks," Economics Working Papers ECO2011/11, European University Institute.
- Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
- Eddelbuettel, Dirk & Sanderson, Conrad, 2014. "RcppArmadillo: Accelerating R with high-performance C++ linear algebra," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1054-1063.
- Markku Lanne & Helmut Lütkepohl, 2008.
"Identifying Monetary Policy Shocks via Changes in Volatility,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
- Markku Lanne & Helmut L‹Tkepohl, 2008. "Identifying Monetary Policy Shocks via Changes in Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
- Markku Lanne & Helmut Lütkepohl, 2006. "Identifying Monetary Policy Shocks via Changes in Volatility," CESifo Working Paper Series 1744, CESifo.
- Markku Lanne, Helmut Luetkepohl, 2006. "Identifying Monetary Policy Shocks via Changes in Volatility," Economics Working Papers ECO2006/23, European University Institute.
- Dominik Bertsche & Robin Braun, 2022.
"Identification of Structural Vector Autoregressions by Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
- Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
- 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.
- Bertsche, Dominik & Braun, Robin, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181631, Verein für Socialpolitik / German Economic Association.
- Bertsche, Dominik & Braun, Robin, 2020. "Identification of structural vector autoregressions by stochastic volatility," Bank of England working papers 869, Bank of England.
- 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.
- Sentana, Enrique & Fiorentini, Gabriele, 2001.
"Identification, estimation and testing of conditionally heteroskedastic factor models,"
Journal of Econometrics, Elsevier, vol. 102(2), pages 143-164, June.
- Sentana, E. & Fiorentini, G., 1997. "Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Model," Papers 9709, Centro de Estudios Monetarios Y Financieros-.
- Gabriele Fiorentini & Enrique Sentana Iváñez, 1997. "Identification, estimation and testing of conditionally heteroskedastic factor models," Working Papers. Serie AD 1997-22, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Lütkepohl, Helmut & Velinov, Anton, 2016.
"Structural Vector Autoregressions : Checking Identifying Long-Run Restrictions via Heteroskedasticity,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30, pages 377-392.
- Helmut Lütkepohl & Anton Velinov, 2016. "Structural Vector Autoregressions: Checking Identifying Long-Run Restrictions Via Heteroskedasticity," Journal of Economic Surveys, Wiley Blackwell, vol. 30(2), pages 377-392, April.
- Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-run Restrictions via Heteroskedasticity," CESifo Working Paper Series 4651, CESifo.
- Lütkepohl, Helmut & Velinov, Anton, 2014. "Structural vector autoregressions: Checking identifying long-run restrictions via heteroskedasticity," SFB 649 Discussion Papers 2014-009, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-Run Restrictions via Heteroskedasticity," Discussion Papers of DIW Berlin 1356, DIW Berlin, German Institute for Economic Research.
- Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
- Daniel J Lewis, 2021.
"Identifying Shocks via Time-Varying Volatility [First Order Autoregressive Processes and Strong Mixing],"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 3086-3124.
- Daniel J. Lewis, 2018. "Identifying shocks via time-varying volatility," Staff Reports 871, Federal Reserve Bank of New York.
- 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.
- 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.
- Kilian,Lutz & Lütkepohl,Helmut, 2018.
"Structural Vector Autoregressive Analysis,"
Cambridge Books,
Cambridge University Press, number 9781107196575, January.
- Kilian,Lutz & Lütkepohl,Helmut, 2017. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781316647332, January.
- Joshua C. C. Chan, 2018.
"Specification tests for time-varying parameter models with stochastic volatility,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 807-823, September.
- Joshua C.C. Chan, 2015. "Specification tests for time-varying parameter models with stochastic volatility," CAMA Working Papers 2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Helmut Lütkepohl & Mika Meitz & Aleksei Netšunajev & Pentti Saikkonen, 2021.
"Testing identification via heteroskedasticity in structural vector autoregressive models,"
The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 1-22.
- Lütkepohl, Helmut & Meitz, Mika & Netšunajev, Aleksei & Saikkonen, Pentti, 2021. "Testing identification via heteroskedasticity in structural vector autoregressive models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 24(1), pages 1-22.
- Helmut Lütkepohl & Mika Meitz & Aleksei NetŠunajev & Pentti Saikkonen, 2018. "Testing Identification via Heteroskedasticity in Structural Vector Autoregressive Models," Discussion Papers of DIW Berlin 1764, DIW Berlin, German Institute for Economic Research.
- Christina D. Romer & David H. Romer, 2010.
"The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks,"
American Economic Review, American Economic Association, vol. 100(3), pages 763-801, June.
- Christina D. Romer & David H. Romer, 2007. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," NBER Working Papers 13264, National Bureau of Economic Research, Inc.
- Ramey, V.A., 2016.
"Macroeconomic Shocks and Their Propagation,"
Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162,
Elsevier.
- Ramey, VA, 2016. "Macroeconomic Shocks and Their Propagation," University of California at San Diego, Economics Working Paper Series qt5mb353t2, Department of Economics, UC San Diego.
- Valerie A. Ramey, 2016. "Macroeconomic Shocks and Their Propagation," NBER Working Papers 21978, National Bureau of Economic Research, Inc.
- Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2010. "Stochastic model specification search for Gaussian and partial non-Gaussian state space models," Journal of Econometrics, Elsevier, vol. 154(1), pages 85-100, January.
- Annalisa Cadonna & Sylvia Frühwirth-Schnatter & Peter Knaus, 2020. "Triple the Gamma—A Unifying Shrinkage Prior for Variance and Variable Selection in Sparse State Space and TVP Models," Econometrics, MDPI, vol. 8(2), pages 1-36, May.
- Joshua C. C. Chan & Eric Eisenstat, 2018.
"Bayesian model comparison for time‐varying parameter VARs with stochastic volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 509-532, June.
- Joshua C.C. Chan & Eric Eisenstat, 2015. "Bayesian model comparison for time-varying parameter VARs with stochastic volatility," CAMA Working Papers 2015-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Todd E. Clark & Francesco Ravazzolo, 2015. "Macroeconomic Forecasting Performance under Alternative Specifications of Time‐Varying Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 551-575, June.
- Neville Francis & Valerie A. Ramey, 2009.
"Measures of per Capita Hours and Their Implications for the Technology-Hours Debate,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1071-1097, September.
- Neville Francis & Valerie A. Ramey, 2009. "Measures of per Capita Hours and Their Implications for the Technology‐Hours Debate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1071-1097, September.
- Neville Francis & Valerie A. Ramey, 2005. "Measures of Per Capita Hours and their Implications for the Technology-Hours Debate," NBER Working Papers 11694, National Bureau of Economic Research, Inc.
- Valerie A. Ramey & Neville Francis, 2007. "Measures of Per Capita Hours and their Implications for the Technology-Hours Debate," 2007 Meeting Papers 314, Society for Economic Dynamics.
- Hogg, Robert V. & Klugman, Stuart A., 1983. "On the estimation of long tailed skewed distributions with actuarial applications," Journal of Econometrics, Elsevier, vol. 23(1), pages 91-102, September.
- Mertens, Karel & Ravn, Morten O., 2014.
"A reconciliation of SVAR and narrative estimates of tax multipliers,"
Journal of Monetary Economics, Elsevier, vol. 68(S), pages 1-19.
- Ravn, Morten & Mertens, Karel, 2012. "A Reconciliation of SVAR and Narrative Estimates of Tax Multipliers," CEPR Discussion Papers 8973, C.E.P.R. Discussion Papers.
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015.
"Prior Selection for Vector Autoregressions,"
The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," NBER Working Papers 18467, National Bureau of Economic Research, Inc.
- Domenico Giannone & Michèle Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," Working Papers ECARES ECARES 2012-002, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2012. "Prior Selection for Vector Autoregressions," CEPR Discussion Papers 8755, C.E.P.R. Discussion Papers.
- Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
- Lanne, Markku & Lütkepohl, Helmut & Maciejowska, Katarzyna, 2010.
"Structural vector autoregressions with Markov switching,"
Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 121-131, February.
- Markku Lanne & Helmut Luetkepohl & Katarzyna Maciejowska, 2009. "Structural Vector Autoregressions with Markov Switching," Economics Working Papers ECO2009/06, European University Institute.
- Lanne, Markku & Lütkepohl, Helmut, 2010.
"Structural Vector Autoregressions With Nonnormal Residuals,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 159-168.
- Markku Lanne & Helmut Luetkepohl, 2005. "Structural Vector Autoregressions with Nonnormal Residuals," Economics Working Papers ECO2005/25, European University Institute.
- Markku Lanne & Helmut Lütkepohl, 2006. "Structural Vector Autoregressions with Nonnormal Residuals," CESifo Working Paper Series 1651, CESifo.
- Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
- Omori, Yasuhiro & Chib, Siddhartha & Shephard, Neil & Nakajima, Jouchi, 2007. "Stochastic volatility with leverage: Fast and efficient likelihood inference," Journal of Econometrics, Elsevier, vol. 140(2), pages 425-449, October.
- 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.
- Eddelbuettel, Dirk & Francois, Romain, 2011. "Rcpp: Seamless R and C++ Integration," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i08).
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More about this item
Keywords
Identification through heteroskedasticity; stochastic volatility; non-centred parameterisation; shrinkage prior; normal product distribution; tax shocks;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ETS-2024-06-24 (Econometric Time Series)
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