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Bayesian reduced rank regression in econometrics
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Cited by:
- Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2011.
"Bayesian inference in a time varying cointegration model,"
Journal of Econometrics, Elsevier, vol. 165(2), pages 210-220.
- Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "Bayesian Inference in the Time Varying Cointegration Model," Working Paper series 23_08, Rimini Centre for Economic Analysis.
- Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
- Gary Koop & Roberto Leon-Gonzales & Rodney W Strachan, 2011. "Bayesian Inference in a Time Varying Cointegration Model," CAMA Working Papers 2011-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2008. "Bayesian Inference in the Time Varying Cointegration Model," SIRE Discussion Papers 2008-60, Scottish Institute for Research in Economics (SIRE).
- Gary Koop & Roberto Leon Gonzalez & Rodney W. Strachan, 2008. "Bayesian Inference in the Time Varying Cointegration Model," GRIPS Discussion Papers 08-01, National Graduate Institute for Policy Studies.
- Chuanming Gao & Kajal Lahiri, 2000.
"A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments,"
Econometric Society World Congress 2000 Contributed Papers
0230, Econometric Society.
- Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
- Luca Benati & Thomas A. Lubik, 2021.
"Searching for Hysteresis,"
Working Paper
21-03, Federal Reserve Bank of Richmond.
- Luca Benati & Thomas A. Lubik, 2022. "Searching for Hysteresis," Working Paper 22-05, Federal Reserve Bank of Richmond.
- Markus Jochmann & Gary Koop & Roberto Leon‐Gonzalez & Rodney W. Strachan, 2013.
"Stochastic search variable selection in vector error correction models with an application to a model of the UK macroeconomy,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 62-81, January.
- Markus Jochmann & Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," Working Papers 0919, University of Strathclyde Business School, Department of Economics.
- Markus Jochmann & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," Working Paper series 44_09, Rimini Centre for Economic Analysis.
- Jochmann, Markus & Koop, Gary & Leon-Gonzalez & Strachan, Rodney W., 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," SIRE Discussion Papers 2009-44, Scottish Institute for Research in Economics (SIRE).
- Candelon, Bertrand & Lieb, Lenard, 2013.
"Fiscal policy in good and bad times,"
Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
- Candelon, B. & Lieb, L.M., 2011. "Fiscal policy in good and bad times," Research Memorandum 001, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- 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.
- Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
- Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018.
"Bayesian Vector Autoregressions,"
The Warwick Economics Research Paper Series (TWERPS)
1159, University of Warwick, Department of Economics.
- 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.
- Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Working Papers hal-03458277, HAL.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian Vector Autoregressions," Discussion Papers 1808, Centre for Macroeconomics (CFM).
- Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," SciencePo Working papers Main hal-03458277, HAL.
- Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," Bank of England working papers 756, Bank of England.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Documents de Travail de l'OFCE 2018-18, Observatoire Francais des Conjonctures Economiques (OFCE).
- Villani, Mattias, 2003. "Bayes Estimators of the Cointegration Space," Working Paper Series 150, Sveriges Riksbank (Central Bank of Sweden).
- Chao, John C. & Phillips, Peter C. B., 1999.
"Model selection in partially nonstationary vector autoregressive processes with reduced rank structure,"
Journal of Econometrics, Elsevier, vol. 91(2), pages 227-271, August.
- John C. Chao & Peter C.B. Phillips, 1997. "Model Selection in Partially Nonstationary Vector Autoregressive Processes with Reduced Rank Structure," Cowles Foundation Discussion Papers 1155, Cowles Foundation for Research in Economics, Yale University.
- Luintel, Kul B. & Khan, Mosahid & Leon-Gonzalez, Roberto & Li, Guangjie, 2016.
"Financial development, structure and growth: New data, method and results,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 95-112.
- Luintel, Kul B & Khan, Mosahid & Leon-Gonzalez, Roberto & Li, GuangJie, 2016. "Financial Development, Structure and Growth: New Data, Method and Results," Cardiff Economics Working Papers E2016/2, Cardiff University, Cardiff Business School, Economics Section.
- Kul B Luintel & Khan Mosahid & Leon-Gonzalez Roberto & Li Guangjie, 2016. "Financial Development, Structure and Growth : New Data, Method and Results," GRIPS Discussion Papers 15-27, National Graduate Institute for Policy Studies.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2011.
"Forecasting large datasets with Bayesian reduced rank multivariate models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 735-761, August.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," Economics Working Papers ECO2009/31, European University Institute.
- 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.
- Lawrence Kessler & Murat Munkin, 2015. "Bayesian estimation of panel data fractional response models with endogeneity: an application to standardized test rates," Empirical Economics, Springer, vol. 49(1), pages 81-114, August.
- Jochmann Markus & Koop Gary, 2015.
"Regime-switching cointegration,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 35-48, February.
- Markus Jochmann & Gary Koop, 2011. "Regime-Switching Cointegration," Working Papers 1125, University of Strathclyde Business School, Department of Economics.
- Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-60, Scottish Institute for Research in Economics (SIRE).
- Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-36, Scottish Institute for Research in Economics (SIRE).
- Markus Jochmann & Gary Koop, 2011. "Regime-Switching Cointegration," Working Paper series 40_11, Rimini Centre for Economic Analysis.
- Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019.
"Bayesian compressed vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 2016_09, Business School - Economics, University of Glasgow.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103, Brandeis University, Department of Economics and International Business School.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2017. "Bayesian Compressed Vector Autoregressions," Working Paper series 17-32, Rimini Centre for Economic Analysis.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103R, Brandeis University, Department of Economics and International Business School, revised Apr 2016.
- Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.
- 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.
- Xianguo Huang & Roberto Leon-Gonzalez & Somrasri Yupho, 2012. "Financial Integration from a Time-Varying Cointegration Perspective," GRIPS Discussion Papers 12-07, National Graduate Institute for Policy Studies.
- Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2008.
"Bayesian inference in a cointegrating panel data model,"
Advances in Econometrics, in: Bayesian Econometrics, pages 433-469,
Emerald Group Publishing Limited.
- Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2006. "Bayesian Inference in a Cointegrating Panel Data Model," Discussion Papers in Economics 06/2, Division of Economics, School of Business, University of Leicester.
- Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2007. "Bayesian Inference in a Cointegrating Panel Data Model," Working Paper series 02_07, Rimini Centre for Economic Analysis.
- Raviv, Eran & Bouwman, Kees E. & van Dijk, Dick, 2015.
"Forecasting day-ahead electricity prices: Utilizing hourly prices,"
Energy Economics, Elsevier, vol. 50(C), pages 227-239.
- Eran Raviv & Kees E. Bouwman & Dick van Dijk, 2013. "Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices," Tinbergen Institute Discussion Papers 13-068/III, Tinbergen Institute.
- James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007.
"Normalization in Econometrics,"
Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
- James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2004. "Normalization in econometrics," FRB Atlanta Working Paper 2004-13, Federal Reserve Bank of Atlanta.
- Andrea Silvestrini, 2010.
"Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration,"
Empirical Economics, Springer, vol. 39(1), pages 241-274, August.
- Andrea, SILVESTRINI, 2007. "Testing fiscal sustainability in Poland : a Bayesian analysis of cointegration," Discussion Papers (ECON - Département des Sciences Economiques) 2007040, Université catholique de Louvain, Département des Sciences Economiques.
- SILVESTRINI, Andrea, 2010. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," LIDAM Reprints CORE 2220, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- SILVESTRINI, Andrea, 2007. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," LIDAM Discussion Papers CORE 2007080, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gareth W. Peters & Balakrishnan Kannan & Ben Lasscock & Chris Mellen, 2010. "Model Selection and Adaptive Markov chain Monte Carlo for Bayesian Cointegrated VAR model," Papers 1004.3830, arXiv.org.
- Rodney W. Strachan & Herman K. Van Dijk, 2013.
"Evidence On Features Of A Dsge Business Cycle Model From Bayesian Model Averaging,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 385-402, February.
- Rodney Strachan & Herman K. van Dijk, 2012. "Evidence on Features of a DSGE Business Cycle Model from Bayesian Model Averaging," Tinbergen Institute Discussion Papers 12-025/4, Tinbergen Institute.
- Neil Shephard & Michael K Pitt, 1995.
"Likelihood analysis of non-Gaussian parameter driven models,"
Economics Papers
15 & 108., Economics Group, Nuffield College, University of Oxford.
- Shephard, N. & Pitt, M.K., 1995. "Likelihood Analysis of Non-Gaussian Parameter-Driven Models," Economics Papers 108, Economics Group, Nuffield College, University of Oxford.
- Fuentes-Albero, Cristina & Melosi, Leonardo, 2013.
"Methods for computing marginal data densities from the Gibbs output,"
Journal of Econometrics, Elsevier, vol. 175(2), pages 132-141.
- 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.
- Sugita, Katsuhiro, 2002. "Testing for Cointegration Rank Using Bayes Factors," Economic Research Papers 269467, University of Warwick - Department of Economics.
- Goh, Gyuhyeong & Dey, Dipak K. & Chen, Kun, 2017. "Bayesian sparse reduced rank multivariate regression," Journal of Multivariate Analysis, Elsevier, vol. 157(C), pages 14-28.
- Ryo Kato & Takahiro Hoshino, 2018. "Semiparametric Bayes Instrumental Variable Estimation with Many Weak Instruments," Discussion Paper Series DP2018-14, Research Institute for Economics & Business Administration, Kobe University.
- Gary Koop & Rodney Strachan & Herman van Dijk & Mattias Villani, 2004.
"Bayesian Approaches to Cointegration,"
Discussion Papers in Economics
04/27, Division of Economics, School of Business, University of Leicester.
- Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2019.
"Priors for the Long Run,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 565-580, April.
- Primiceri, Giorgio & Giannone, Domenico & Lenza, Michele, 2016. "Priors for the Long Run," CEPR Discussion Papers 11261, C.E.P.R. Discussion Papers.
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2017. "Priors for the long run," Staff Reports 832, Federal Reserve Bank of New York.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2018. "Priors for the long run," Working Paper Series 2132, European Central Bank.
- Strachan, Rodney W. & Inder, Brett, 2004. "Bayesian analysis of the error correction model," Journal of Econometrics, Elsevier, vol. 123(2), pages 307-325, December.
- Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
- Kleibergen, Frank & Paap, Richard, 2002.
"Priors, posteriors and bayes factors for a Bayesian analysis of cointegration,"
Journal of Econometrics, Elsevier, vol. 111(2), pages 223-249, December.
- Kleibergen, F.R. & Paap, R., 1998. "Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration," Econometric Institute Research Papers EI 9821, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jim Malley & Ulrich Woitek, 2011.
"Productivity shocks and aggregate fluctuations in an estimated endogenous growth model with human capital,"
Working Papers
2011_20, Business School - Economics, University of Glasgow.
- Jim Malley & Ulrich Woitek, 2011. "Productivity Shocks and Aggregate Fluctuations in an Estimated Endogenous Growth Model with Human Capital," CESifo Working Paper Series 3567, CESifo.
- Malley, James & Woitek, Ulrich, 2011. "Productivity shocks and aggregate fluctuations in an estimated endogenous growth model with human capital," SIRE Discussion Papers 2011-71, Scottish Institute for Research in Economics (SIRE).
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022.
"The global component of inflation volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
- Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
- Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
- Bin Jiang & Anastasios Panagiotelis & George Athanasopoulos & Rob Hyndman & Farshid Vahid, 2016. "Bayesian Rank Selection in Multivariate Regression," Monash Econometrics and Business Statistics Working Papers 6/16, Monash University, Department of Econometrics and Business Statistics.
- Niko Hauzenberger & Michael Pfarrhofer & Luca Rossini, 2020. "Sparse time-varying parameter VECMs with an application to modeling electricity prices," Papers 2011.04577, arXiv.org, revised Apr 2023.
- Peter McAdam & Kostas Mouratidis & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "European Trade & Growth Imbalances: An Analysis using a Sign-Restriction Bayesian-GVAR with Stochastic Volatility," Working Paper series 23-12, Rimini Centre for Economic Analysis.
- Paap, Richard & van Nierop, Erjen & van Heerde, Harald J. & Wedel, Michel & Franses, Philip Hans & Alsem, Karel Jan, 2005.
"Consideration sets, intentions and the inclusion of "don't know" in a two-stage model for voter choice,"
International Journal of Forecasting, Elsevier, vol. 21(1), pages 53-71.
- Paap, R. & van Nierop, J.E.M. & van Heerde, H.J. & Wedel, M. & Franses, Ph.H.B.F. & Alsem, K.J., 2000. "Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice," Econometric Institute Research Papers EI 2000-33/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
- Theo S. Eicher & Monique Newiak, 2013.
"Intellectual property rights as development determinants,"
Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(1), pages 4-22, February.
- Theo S. Eicher & Monique Newiak, 2013. "Intellectual property rights as development determinants," Canadian Journal of Economics, Canadian Economics Association, vol. 46(1), pages 4-22, February.
- Theo S Eicher & Monique Newiak, 2011. "Intellectual Property Rights as Development Determinants," Working Papers UWEC-2011-13-P, University of Washington, Department of Economics.
- Prüser, Jan, 2023. "Data-based priors for vector error correction models," International Journal of Forecasting, Elsevier, vol. 39(1), pages 209-227.
- Hoogerheide, Lennart & Kleibergen, Frank & van Dijk, Herman K., 2007.
"Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 63-103, May.
- Hoogerheide, L.F. & Kleibergen, F.R. & van Dijk, H.K., 2006. "Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data," Econometric Institute Research Papers EI 2006-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
- Helmut Luetkepohl, 2007. "Econometric Analysis with Vector Autoregressive Models," Economics Working Papers ECO2007/11, European University Institute.
- Villani, Mattias, 2001.
"Bayesian prediction with cointegrated vector autoregressions,"
International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
- Villani, Mattias, 1999. "Bayesian Prediction with a Cointegrated Vector Autoregression," Working Paper Series 97, Sveriges Riksbank (Central Bank of Sweden).
- repec:hal:spmain:info:hdl:2441/27od5pb99881folvtfs8s3k16l is not listed on IDEAS
- Kleibergen, F.R. & Paap, R., 1996. "Priors, Posterior Odds and Lagrange Multiplier Statistics in Bayesian Analyses of Cointegration," Econometric Institute Research Papers EI 9668-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Paul Corrigan, 2017. "Terms-of-Trade and House Price Fluctuations: A Cross-Country Study," Staff Working Papers 17-1, Bank of Canada.
- Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
- Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016.
"Structural analysis with Multivariate Autoregressive Index models,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
- Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2015. "Structural Analysis with Multivariate Autoregressive Index Models," CEPR Discussion Papers 10801, C.E.P.R. Discussion Papers.
- Kleibergen, Frank & van Dijk, Herman K., 1998.
"Bayesian Simultaneous Equations Analysis Using Reduced Rank Structures,"
Econometric Theory, Cambridge University Press, vol. 14(6), pages 701-743, December.
- Kleibergen, F.R. & van Dijk, H.K., 1997. "Bayesian Simultaneous Equations Analysis using Reduced Rank Structures," Econometric Institute Research Papers EI 9714/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Frank Kleibergen & Herman K. van Dijk, 1998. "Bayesian Simultaneous Equations Analysis using Reduced Rank Structures," Tinbergen Institute Discussion Papers 98-025/4, Tinbergen Institute.
- Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.
- Cogley, Timothy & Startz, Richard, 2012. "Bayesian IV: the normal case with multiple endogenous variables," University of California at Santa Barbara, Economics Working Paper Series qt40v0x246, Department of Economics, UC Santa Barbara.
- Kalyan Das & Angshuman Sarkar, 2014. "Robust inference for generalized partially linear mixed models that account for censored responses and missing covariates -- an application to Arctic data analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(11), pages 2418-2436, November.
- repec:spo:wpmain:info:hdl:2441/27od5pb99881folvtfs8s3k16l is not listed on IDEAS
- Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
- Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
- Sugita, Katsuhiro, 2002. "Testing For Cointegration Rank Using Bayes Factors," The Warwick Economics Research Paper Series (TWERPS) 654, University of Warwick, Department of Economics.
- Dyevre, Arthur & Lampach, Nicolas, 2018. "The origins of regional integration: Untangling the effect of trade on judicial cooperation," International Review of Law and Economics, Elsevier, vol. 56(C), pages 122-133.
- Michael L. Polemis & Mike G. Tsionas, 2023. "The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1602-1621, April.
- Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2017.
"Bayesian analysis of boundary and near-boundary evidence in econometric models with reduced rank,"
Working Paper
2017/11, Norges Bank.
- Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2017. "Bayesian Analysis of Boundary and Near-Boundary Evidence in Econometric Models with Reduced Rank," Tinbergen Institute Discussion Papers 17-058/III, Tinbergen Institute.
- Amisano, Gianni, 2003. "Bayesian inference in cointegrated systems," Research in Economics, Elsevier, vol. 57(4), pages 287-314, December.
- Karlsson, Sune, 2012. "Conditional posteriors for the reduced rank regression model," Working Papers 2012:11, Örebro University, School of Business.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2007. "Forecasting Large Datasets with Reduced Rank Multivariate Models," Working Papers 617, Queen Mary University of London, School of Economics and Finance.
- Christopher A. Sims, 2007. "Thinking about instrumental variables (in Russian)," Quantile, Quantile, issue 2, pages 83-94, March.
- Fan, Jianqing & Gong, Wenyan & Zhu, Ziwei, 2019. "Generalized high-dimensional trace regression via nuclear norm regularization," Journal of Econometrics, Elsevier, vol. 212(1), pages 177-202.
- Peter Hansen, 2002. "Generalized Reduced Rank Regression," Working Papers 2002-02, Brown University, Department of Economics.
- Luís Catela Nunes, 2003. "Forecasting Euro Area Aggregates with Bayesian VAR and VECM Models," Working Papers w200304, Banco de Portugal, Economics and Research Department.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020. "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers) 1285, Bank of Italy, Economic Research and International Relations Area.
- Belén Pérez-Sánchez & Martín González & Carmen Perea & Jose J. López-Espín, 2021. "A New Computational Method for Estimating Simultaneous Equations Models Using Entropy as a Parameter Criteria," Mathematics, MDPI, vol. 9(7), pages 1-9, March.
- Gary Koop & Roberto León-González & Rodney W. Strachan, 2010.
"Efficient Posterior Simulation for Cointegrated Models with Priors on the Cointegration Space,"
Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 224-242, April.
- Gary Koop & Roberto León-González & Rodney W. Strachan, 2005. "Efficient Posterior Simulation for Cointegrated Models with Priors On the Cointegration Space," Discussion Papers in Economics 05/13, Division of Economics, School of Business, University of Leicester, revised Apr 2006.
- Tom Doan, "undated". "RATS program to demonstrate Gibbs sampling in a cointegrated model," Statistical Software Components RTZ00187, Boston College Department of Economics.
- Villani, Mattias, 2006. "Bayesian point estimation of the cointegration space," Journal of Econometrics, Elsevier, vol. 134(2), pages 645-664, October.
- Theo S. Eicher & Alex Lenkoski & Adrian Raftery, 2009. "Bayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development Determinants," Working Papers UWEC-2009-19-FC, University of Washington, Department of Economics.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2007.
"Forecasting Large Datasets with Reduced Rank Multivariate Models,"
Working Papers
617, Queen Mary University of London, School of Economics and Finance.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2007. "Forecasting Large Datasets with Reduced Rank Multivariate Models," Working Papers 617, Queen Mary University of London, School of Economics and Finance.
- Xiaojie Xu, 2015. "Cointegration among regional corn cash prices," Economics Bulletin, AccessEcon, vol. 35(4), pages 2581-2594.
- Feng, Sanying & Lian, Heng & Zhu, Fukang, 2016. "Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 139-150.
- Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.