Mattias Villani
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.RePEc Biblio mentions
As found on the RePEc Biblio, the curated bibliography of Economics:- Mattias Villani, 2009.
"Steady-state priors for vector autoregressions,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
Mentioned in:
- Malin Adolfson & Jesper Linde & Mattias Villani, 2007.
"Forecasting Performance of an Open Economy DSGE Model,"
Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 289-328.
Mentioned in:
Working papers
- Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc & Villani, Mattias, 2019.
"Hamiltonian Monte Carlo with Energy Conserving Subsampling,"
Working Paper Series
372, Sveriges Riksbank (Central Bank of Sweden).
Cited by:
- Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2024. "Inference for Regression with Variables Generated by AI or Machine Learning," Papers 2402.15585, arXiv.org, revised Dec 2024.
- Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
- Kohn, R. & Quiroz, M. & Tran, M.-N. & Villani, M., 2016.
"Block-Wise Pseudo-Marginal Metropolis-Hastings,"
Working Papers
2016-03, University of Sydney Business School, Discipline of Business Analytics.
Cited by:
- Golightly, Andrew & Bradley, Emma & Lowe, Tom & Gillespie, Colin S., 2019. "Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 92-107.
- Wiqvist, Samuel & Golightly, Andrew & McLean, Ashleigh T. & Picchini, Umberto, 2021. "Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
- Kohn, Robert & Nguyen, Nghia & Nott, David & Tran, Minh-Ngoc, 2017. "Random Effects Models with Deep Neural Network Basis Functions: Methodology and Computation," Working Papers 2123/17877, University of Sydney Business School, Discipline of Business Analytics.
- Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015.
"Speeding Up Mcmc By Efficient Data Subsampling,"
Working Paper Series
297, Sveriges Riksbank (Central Bank of Sweden).
- Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran, 2019. "Speeding Up MCMC by Efficient Data Subsampling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 831-843, April.
- Kohn, Robert & Quiroz, Matias & Tran, Minh-Ngoc & Villani, Mattias, 2016. "Speeding up MCMC by Efficient Data Subsampling," Working Papers 2123/16205, University of Sydney Business School, Discipline of Business Analytics.
Cited by:
- Guangbao Guo & Guoqi Qian & Lu Lin & Wei Shao, 2021. "Parallel inference for big data with the group Bayesian method," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(2), pages 225-243, February.
- Gael M. Martin & David T. Frazier & Christian P. Robert, 2022. "Computing Bayes: From Then `Til Now," Monash Econometrics and Business Statistics Working Papers 14/22, Monash University, Department of Econometrics and Business Statistics.
- Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
- Boris Beranger & Huan Lin & Scott Sisson, 2023. "New models for symbolic data analysis," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(3), pages 659-699, September.
- Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024.
"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
- Patrick Leung & Catherine S. Forbes & Gael M Martin & Brendan McCabe, 2019. "Forecasting Observables with Particle Filters: Any Filter Will Do!," Monash Econometrics and Business Statistics Working Papers 22/19, Monash University, Department of Econometrics and Business Statistics.
- Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
- Loaiza-Maya, Rubén & Nibbering, Didier & Zhu, Dan, 2024. "Hybrid unadjusted Langevin methods for high-dimensional latent variable models," Journal of Econometrics, Elsevier, vol. 241(2).
- Florian Maire & Nial Friel & Pierre ALQUIER, 2017. "Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets," Working Papers 2017-40, Center for Research in Economics and Statistics.
- Gael M. Martin & David T. Frazier & Christian P. Robert, 2021. "Approximating Bayes in the 21st Century," Monash Econometrics and Business Statistics Working Papers 24/21, Monash University, Department of Econometrics and Business Statistics.
- Feifei Wang & Danyang Huang & Tianchen Gao & Shuyuan Wu & Hansheng Wang, 2022. "Sequential one‐step estimator by sub‐sampling for customer churn analysis with massive data sets," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1753-1786, November.
- Steven Y. K. Wong & Jennifer S. K. Chan & Lamiae Azizi, 2024. "Quantifying neural network uncertainty under volatility clustering," Papers 2402.14476, arXiv.org, revised Sep 2024.
- Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015. "Scalable Mcmc For Large Data Problems Using Data Subsampling And The Difference Estimator," Working Paper Series 306, Sveriges Riksbank (Central Bank of Sweden).
- Quiroz, Matias & Villani, Mattias, 2013.
"Dynamic mixture-of-experts models for longitudinal and discrete-time survival data,"
Working Paper Series
268, Sveriges Riksbank (Central Bank of Sweden).
Cited by:
- Gunawan, David & Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc, 2019. "Subsampling Sequential Monte Carlo for Static Bayesian Models," Working Paper Series 371, Sveriges Riksbank (Central Bank of Sweden).
- Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015.
"Speeding Up Mcmc By Efficient Data Subsampling,"
Working Paper Series
297, Sveriges Riksbank (Central Bank of Sweden).
- Kohn, Robert & Quiroz, Matias & Tran, Minh-Ngoc & Villani, Mattias, 2016. "Speeding up MCMC by Efficient Data Subsampling," Working Papers 2123/16205, University of Sydney Business School, Discipline of Business Analytics.
- Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran, 2019. "Speeding Up MCMC by Efficient Data Subsampling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 831-843, April.
- Giordani, Paolo & Jacobson, Tor & von Schedvin , Erik & Villani, Mattias, 2011.
"Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios,"
Working Paper Series
256, Sveriges Riksbank (Central Bank of Sweden).
- Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
Cited by:
- Cathcart, Lara & Dufour, Alfonso & Rossi, Ludovico & Varotto, Simone, 2020. "The differential impact of leverage on the default risk of small and large firms," Journal of Corporate Finance, Elsevier, vol. 60(C).
- Gunawan, David & Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc, 2019. "Subsampling Sequential Monte Carlo for Static Bayesian Models," Working Paper Series 371, Sveriges Riksbank (Central Bank of Sweden).
- Xueyan Dong & Kam C. Chan & Yujia Cui & Jenny Xinjiao Guan, 2021. "Strategic deviance and cash holdings," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(3-4), pages 742-782, March.
- Niklas Amberg & Tor Jacobson & Erik von Schedvin & Robert Townsend, 2021.
"Curbing Shocks to Corporate Liquidity: The Role of Trade Credit,"
Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 182-242.
- Amberg, Niklas & Jacobson, Tor & von Schedvin, Erik & Townsend, Robert, 2016. "Curbing Shocks to Corporate Liquidity: The Role of Trade Credit," Working Paper Series 320, Sveriges Riksbank (Central Bank of Sweden).
- Niklas Amberg & Tor Jacobson & Erik von Schedvin & Robert Townsend, 2016. "Curbing Shocks to Corporate Liquidity: The Role of Trade Credit," NBER Working Papers 22286, National Bureau of Economic Research, Inc.
- Koresh Galil & Neta Gilat, 2019.
"Predicting Default More Accurately: To Proxy or Not to Proxy for Default?,"
International Review of Finance, International Review of Finance Ltd., vol. 19(4), pages 731-758, December.
- Neta Sher & Koresh Galil, 2015. "Predicting default more accurately: to proxy or not to proxy for default?," Working Papers 1505, Ben-Gurion University of the Negev, Department of Economics.
- Koresh Galil & Neta Gilat, 2018. "Predicting Default More Accurately: To Proxy Or Not To Proxy For Default," Working Papers 1801, Ben-Gurion University of the Negev, Department of Economics.
- Muhammad Zubair Mumtaz & Zachary Alexander Smith, 2018. "IPOs in the U.S. from 2005 to 2015: Using the Spline Regression Technique to Estimate Aggregate Issuance and Performance," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(2), pages 165-199, April.
- Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022.
"The financial network channel of monetary policy transmission: An agent-based model,"
Working Papers
2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
- Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The Financial Network Channel of Monetary Policy Transmission: An Agent-Based Model," Working Papers, Department of Economics 2022_01, University of São Paulo (FEA-USP), revised 21 Jan 2022.
- Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2023. "The financial network channel of monetary policy transmission: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 533-571, July.
- Lee, Kangbok & Joo, Sunghoon & Baik, Hyeoncheol & Han, Sumin & In, Joonhwan, 2020. "Unbalanced data, type II error, and nonlinearity in predicting M&A failure," Journal of Business Research, Elsevier, vol. 109(C), pages 271-287.
- Villani, Mattias & Kohn, Robert & Nott, David J., 2012. "Generalized smooth finite mixtures," Journal of Econometrics, Elsevier, vol. 171(2), pages 121-133.
- Ida Nervik Hjelseth & Arvid Raknerud & Bjørn H. Vatne, 2022. "A bankruptcy probability model for assessing credit risk on corporate loans with automated variable selection," Working Paper 2022/7, Norges Bank.
- Péter Bauer & Marianna Endrész, 2016. "Modelling Bankruptcy Using Hungarian Firm-Level Data," MNB Occasional Papers 2016/122, Magyar Nemzeti Bank (Central Bank of Hungary).
- Ken Li, 2024. "Liquidity ratios and corporate failures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 1111-1134, March.
- Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015.
"Speeding Up Mcmc By Efficient Data Subsampling,"
Working Paper Series
297, Sveriges Riksbank (Central Bank of Sweden).
- Kohn, Robert & Quiroz, Matias & Tran, Minh-Ngoc & Villani, Mattias, 2016. "Speeding up MCMC by Efficient Data Subsampling," Working Papers 2123/16205, University of Sydney Business School, Discipline of Business Analytics.
- Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran, 2019. "Speeding Up MCMC by Efficient Data Subsampling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 831-843, April.
- Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc & Villani, Mattias, 2019. "Hamiltonian Monte Carlo with Energy Conserving Subsampling," Working Paper Series 372, Sveriges Riksbank (Central Bank of Sweden).
- Feng Li & Mattias Villani, 2013. "Efficient Bayesian Multivariate Surface Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 706-723, December.
- Quiroz, Matias & Villani, Mattias, 2013. "Dynamic mixture-of-experts models for longitudinal and discrete-time survival data," Working Paper Series 268, Sveriges Riksbank (Central Bank of Sweden).
- Georgios Sermpinis & Serafeim Tsoukas & Ping Zhang, 2019. "What influences a bank's decision to go public?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1464-1485, October.
- Li, Feng & Villani, Mattias & Kohn, Robert, 2010.
"Modeling Conditional Densities Using Finite Smooth Mixtures,"
Working Paper Series
245, Sveriges Riksbank (Central Bank of Sweden).
Cited by:
- Tsionas, Mike, 2012. "Simple techniques for likelihood analysis of univariate and multivariate stable distributions: with extensions to multivariate stochastic volatility and dynamic factor models," MPRA Paper 40966, University Library of Munich, Germany, revised 20 Aug 2012.
- Almeida e Santos Nogueira, R.J. & Basturk, N. & Kaymak, U. & Costa Sousa, J.M., 2013. "Estimation of flexible fuzzy GARCH models for conditional density estimation," ERIM Report Series Research in Management ERS-2013-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
- Villani, Mattias & Kohn, Robert & Nott, David J., 2012. "Generalized smooth finite mixtures," Journal of Econometrics, Elsevier, vol. 171(2), pages 121-133.
- Yanfei Kang & Rob J Hyndman & Feng Li, 2018. "Efficient generation of time series with diverse and controllable characteristics," Monash Econometrics and Business Statistics Working Papers 15/18, Monash University, Department of Econometrics and Business Statistics.
- Giordani, Paolo & Villani, Mattias, 2009.
"Forecasting Macroeconomic Time Series With Locally Adaptive Signal Extraction,"
Working Paper Series
234, Sveriges Riksbank (Central Bank of Sweden).
- Giordani, Paolo & Villani, Mattias, 2010. "Forecasting macroeconomic time series with locally adaptive signal extraction," International Journal of Forecasting, Elsevier, vol. 26(2), pages 312-325, April.
Cited by:
- Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012.
"Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility,"
Working Papers (Old Series)
1227, Federal Reserve Bank of Cleveland.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2013. "Real-Time Nowcasting with a Bayesian Mixed Frequency Model with Stochastic Volatility," CEPR Discussion Papers 9312, C.E.P.R. Discussion Papers.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 837-862, October.
- Niko Hauzenberger & Florian Huber & Luca Onorante, 2021.
"Combining shrinkage and sparsity in conjugate vector autoregressive models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
- Niko Hauzenberger & Florian Huber & Luca Onorante, 2020. "Combining Shrinkage and Sparsity in Conjugate Vector Autoregressive Models," Papers 2002.08760, arXiv.org, revised Aug 2020.
- Luiz Renato Regis de Oliveira Lima & Wagner Piazza Gaglianone, 2012.
"Constructing Optimal Density Forecasts from Point Forecast Combinations,"
Série Textos para Discussão (Working Papers)
5, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
- Wagner Piazza Gaglianone & Luiz Renato Lima, 2014. "Constructing Optimal Density Forecasts From Point Forecast Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 736-757, August.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020.
"Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors,"
The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 17-15R, Federal Reserve Bank of Cleveland.
- Todd E Clark & Michael W McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," BIS Working Papers 667, Bank for International Settlements.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 2017-026, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers (Old Series) 1715, Federal Reserve Bank of Cleveland.
- Florian Huber, 2014.
"Density Forecasting using Bayesian Global Vector Autoregressions with Common Stochastic Volatility,"
Department of Economics Working Papers
wuwp179, Vienna University of Economics and Business, Department of Economics.
- Huber, Florian, 2014. "Density Forecasting using Bayesian Global Vector Autoregressions with Common Stochastic Volatility," Department of Economics Working Paper Series 179, WU Vienna University of Economics and Business.
- Bulkley, George & Giordani, Paolo, 2011. "Structural breaks, parameter uncertainty, and term structure puzzles," Journal of Financial Economics, Elsevier, vol. 102(1), pages 222-232, October.
- Garratt, Anthony & Mise, Emi, 2014. "Forecasting exchange rates using panel model and model averaging," Economic Modelling, Elsevier, vol. 37(C), pages 32-40.
- Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
- Liu, Yuelin & Morley, James, 2014.
"Structural evolution of the postwar U.S. economy,"
Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 50-68.
- Yuelin Liu & James Morley, 2013. "Structural Evolution of the Postwar U.S. Economy," Discussion Papers 2013-15A, School of Economics, The University of New South Wales.
- Todd E. Clark & Francesco Ravazzolo, 2012.
"The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility,"
Working Paper
2012/09, Norges Bank.
- Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Papers (Old Series) 1218, Federal Reserve Bank of Cleveland.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015.
"Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section,"
Working Papers
550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2017. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 110-129, January.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
- 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.
- Rossi, Barbara, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," CEPR Discussion Papers 14472, C.E.P.R. Discussion Papers.
- Barbara Rossi, 2019. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," Working Papers 1162, Barcelona School of Economics.
- Vasiliy Zubakin & Oleg Kosorukov & Nikita Moiseev, 2015. "Improvement of Regression Forecasting Models," Modern Applied Science, Canadian Center of Science and Education, vol. 9(6), pages 344-344, June.
- Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2007.
"Nonparametric Regression Density Estimation Using Smoothly Varying Normal Mixtures,"
Working Paper Series
211, Sveriges Riksbank (Central Bank of Sweden).
Cited by:
- Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2009. "Regression density estimation using smooth adaptive Gaussian mixtures," Journal of Econometrics, Elsevier, vol. 153(2), pages 155-173, December.
- Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
- Chib, Siddhartha & Greenberg, Edward, 2010. "Additive cubic spline regression with Dirichlet process mixture errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 322-336, June.
- Linde, Jesper & Adolfson, Malin & LASEEN, PER & Villani, Mattias, 2007.
"Evaluating An Estimated New Keynesian Small Open Economy Model,"
CEPR Discussion Papers
6027, C.E.P.R. Discussion Papers.
- Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2008. "Evaluating an estimated new Keynesian small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2690-2721, August.
- Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2007. "Evaluating An Estimated New Keynesian Small Open Economy Model," Working Paper Series 203, Sveriges Riksbank (Central Bank of Sweden).
Cited by:
- Haider, Adnan & Khan, Safdar Ullah, 2008.
"A Small Open Economy DSGE Model for Pakistan,"
MPRA Paper
12977, University Library of Munich, Germany, revised 17 Jan 2009.
- Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
- Hull, Isaiah, 2017.
"Amortization requirements and household indebtedness: An application to Swedish-style mortgages,"
European Economic Review, Elsevier, vol. 91(C), pages 72-88.
- Hull, Isaiah, 2015. "Amortization Requirements and Household Indebtedness: An Application to Swedish- Style Mortgages," Working Paper Series 298, Sveriges Riksbank (Central Bank of Sweden).
- P. Fève & J.-G. Sahuc, 2016.
"In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area,"
Working papers
585, Banque de France.
- Patrick Fève & Jean‐Guillaume Sahuc, 2017. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 704-718, April.
- Fève, Patrick & Sahuc, Jean-Guillaume, 2014. "In search of the transmission mechanism of fiscal policy in the Euro area," IDEI Working Papers 840, Institut d'Économie Industrielle (IDEI), Toulouse.
- Fève, Patrick & Sahuc, Jean-Guillaume, 2014. "In search of the transmission mechanism of fiscal policy in the Euro area," TSE Working Papers 14-536, Toulouse School of Economics (TSE), revised Mar 2016.
- Patrick Fève & Jean-Guillaume Sahuc, 2017. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Post-Print hal-01612699, HAL.
- Sami Alpanda & Gino Cateau & Césaire Meh, 2014.
"A Policy Model to Analyze Macroprudential Regulations and Monetary Policy,"
Staff Working Papers
14-6, Bank of Canada.
- Sami Alpanda & Gino Cateau & Cesaire Meh, 2014. "A policy model to analyze macroprudential regulations and monetary policy," BIS Working Papers 461, Bank for International Settlements.
- Sami Alpanda & Gino Cateau & Césaire Meh, 2018. "A policy model to analyze macroprudential regulations and monetary policy," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 828-863, August.
- Sami Alpanda & Gino Cateau & Césaire Meh, 2018. "A policy model to analyze macroprudential regulations and monetary policy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 828-863, August.
- Afanasyeva, Elena & Karasulu, Meral, 2013. "Interactions of Monetary and Macroprudential Policies in a Model of the Korean Economy," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79884, Verein für Socialpolitik / German Economic Association.
- Wieland, Volker & Wolters, Maik, 2013.
"Forecasting and Policy Making,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325,
Elsevier.
- Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi.
- Mutiu Gbade Rasaki, 2017. "A Bayesian Estimation of DSGE Model for the Nigerian Economy," EuroEconomica, Danubius University of Galati, issue 2(36), pages 145-158, November.
- Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
- Eurilton Araújo, 2014.
"Determinacy and Learnability of Equilibrium in a Small Open Economy with Sticky Wages and Prices,"
Working Papers Series
376, Central Bank of Brazil, Research Department.
- Araújo, Eurilton, 2016. "Determinacy and learnability of equilibrium in a small-open economy with sticky wages and prices," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 16-32.
- Giovannini, Massimo & Hohberger, Stefan & Ratto, Marco & Vogel, Lukas, 2018.
"Adjustment dynamics and business cycle heterogeneity in the EMU: Evidence from estimated DSGE models,"
JRC Working Papers in Economics and Finance
2018-08, Joint Research Centre, European Commission.
- Giovannini, Massimo & Hohberger, Stefan & Ratto, Marco & Vogel, Lukas, 2019. "Adjustment dynamics and business cycle heterogeneity in the EMU: Evidence from estimated DSGE models," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203548, Verein für Socialpolitik / German Economic Association.
- Klaus Schmidt-Hebbel & Carl E. Walsh, 2009.
"Monetary Policy under Uncertainty and Learning: An Overview,"
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- Carlsson, Mikael, 2014. "Selection Effects in Producer-Price Setting," Working Paper Series 2014:6, Uppsala University, Department of Economics.
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"Modelo de Proyección Trimestral: Una Actualización Hasta 2019,"
Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 42, pages 9-58.
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"Rational vs. Professional Forecasts,"
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"Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through,"
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179, Sveriges Riksbank (Central Bank of Sweden).
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Cited by:
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"The speed of the exchange rate pass-through,"
CEPR Discussion Papers
11195, C.E.P.R. Discussion Papers.
- Barthélémy Bonadio & Andreas M Fischer & Philip Sauré, 2020. "The Speed of Exchange Rate Pass-Through," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 506-538.
- Barthélémy Bonadio & Andreas M. Fischer & Philip Saure, 2016. "The speed of exchange rate pass-through," Globalization Institute Working Papers 282, Federal Reserve Bank of Dallas.
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- Haider, Adnan & Khan, Safdar Ullah, 2008.
"A Small Open Economy DSGE Model for Pakistan,"
MPRA Paper
12977, University Library of Munich, Germany, revised 17 Jan 2009.
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- Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2010.
"Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data,"
NBER Working Papers
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- Juan Rubio-Ramirez & Jesus Fernandez-Villaverde & Pablo A. Guerron-Quintana, 2010. "Fortune or Virtue: Time Variant Volatilities versus Parameter Drifting in U.S. Data," 2010 Meeting Papers 270, Society for Economic Dynamics.
- Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-RamÃrez, 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.
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- Markus Kirchner & Malte Rieth, 2020. "Sovereign Default Risk, Macroeconomic Fluctuations and Monetary-Fiscal Stabilization," Working Papers Central Bank of Chile 896, Central Bank of Chile.
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"Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model,"
VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order
79694, Verein für Socialpolitik / German Economic Association.
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"Time-Varying Trend Inflation and the New Keynesian Phillips Curve in Australia,"
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"Debt-financed fiscal stimulus in South Africa,"
Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 48(1), pages 87-112, January.
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- Sánchez, Marcelo, 2010. "Wage restraint and monetary union," Economic Modelling, Elsevier, vol. 27(1), pages 134-142, January.
- Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2005.
"Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through,"
Working Paper Series
179, Sveriges Riksbank (Central Bank of Sweden).
- Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
- Robert Kollmann, 2013.
"Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
- Robert Kollmann, 2013. "Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
- Robert Kollmann, 2012. "Global banks, financial shocks and international business cycles: evidence from an estimated model," Globalization Institute Working Papers 120, Federal Reserve Bank of Dallas.
- Kollmann, Robert, 2012. "Global Banks, Financial Shocks and International Business Cycles: Evidence from an Estimated Model," CEPR Discussion Papers 8985, C.E.P.R. Discussion Papers.
- Robert Kollmann, 2013. "Global Banks, Financial Shocks And International Business Cycles: Evidence From An Estimated Model," CAMA Working Papers 2013-30, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Robert Kollmann, 2012. "Global Banks, Financial Shocks and International Business Cycles: Evidence from Estimated Models," 2012 Meeting Papers 840, Society for Economic Dynamics.
- Morita, Hiroshi, 2014. "External shocks and Japanese business cycles: Evidence from a sign-restricted VAR model," Japan and the World Economy, Elsevier, vol. 30(C), pages 59-74.
- Thomas von Brasch & Ivan Frankovic & Eero Tölö, 2021. "Corporate taxes, investment and the self-financing rate. The effect of location decisions and exports," Discussion Papers 955, Statistics Norway, Research Department.
- Javier Andrés & Pablo Burriel & Ángel Estrada, 2006. "BEMOD: a DSGE model for the Spanish economy and the rest of the Euro area," Working Papers 0631, Banco de España.
- Pablo Burriel & Jesús Fernández-Villaverde & Juan Rubio-Ramírez, 2010.
"MEDEA: a DSGE model for the Spanish economy,"
SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 175-243, March.
- Pablo Burriel & Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2009. "MEDEA: A DSGE Model for the Spanish Economy," PIER Working Paper Archive 09-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Pablo Burriel & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2009. "MEDEA: A DSGE Model for the Spanish Economy," Working Papers 2009-17, FEDEA.
- Rubio-RamÃrez, Juan Francisco & Burriel, Pablo & Fernández-Villaverde, Jesús, 2009. "MEDEA: A DSGE Model for the Spanish Economy," CEPR Discussion Papers 7297, C.E.P.R. Discussion Papers.
- Aysun, Uluc, 2008. "Automatic stabilizer feature of fixed exchange rate regimes," Emerging Markets Review, Elsevier, vol. 9(4), pages 302-328, December.
- Forni, L. & Gerali, A. & Notarpietro, A. & Pisani, M., 2015. "Euro area, oil and global shocks: An empirical model-based analysis," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 295-314.
- Marco Ratto, 2008. "Analysing DSGE Models with Global Sensitivity Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 31(2), pages 115-139, March.
- Fair, Ray C., 2012. "Has macro progressed?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 2-10.
- Nakhli, Seyyed Reza & Rafat, Monireh & Dastjerdi, Rasul Bakhshi & Rafei, Meysam, 2021. "Oil sanctions and their transmission channels in the Iranian economy: A DSGE model," Resources Policy, Elsevier, vol. 70(C).
- Jonathan Benchimol & Sergey Ivashchenko, 2020.
"Switching Volatility in a Nonlinear Open Economy,"
CFDS Discussion Paper Series
2020/8, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
- Jonathan Benchimol & Sergey Ivashchenko, 2020. "Switching Volatility in a Nonlinear Open Economy," Bank of Israel Working Papers 2020.04, Bank of Israel.
- Jonathan Benchimol & Sergey Ivashchenko, 2021. "Switching volatility in a nonlinear open economy," Post-Print halshs-03248949, HAL.
- Jonathan Benchimol & Sergey Ivashchenko, 2020. "Switching Volatility in a Nonlinear Open Economy," Globalization Institute Working Papers 386, Federal Reserve Bank of Dallas.
- Benchimol, Jonathan & Ivashchenko, Sergey, 2021. "Switching volatility in a nonlinear open economy," Journal of International Money and Finance, Elsevier, vol. 110(C).
- Benchimol, Jonathan & Ivashchenko, Sergey, 2020. "Switching Volatility in a Nonlinear Open Economy," Dynare Working Papers 60, CEPREMAP.
- 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.
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," MPRA Paper 36147, University Library of Munich, Germany.
- Maik H. Wolters, 2015. "Evaluating Point and Density Forecasts of DSGE Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 74-96, January.
- Wolters, Maik H., 2011. "Forecasting under Model Uncertainty," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48723, Verein für Socialpolitik / German Economic Association.
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," IMFS Working Paper Series 59, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Sandra Gomes, 2011.
"Housing Market Dynamics: Any News?,"
Working Papers
w201121, Banco de Portugal, Economics and Research Department.
- Mendicino, Caterina & Gomes, Sandra, 2015. "Housing market dynamics: Any news?," Working Paper Series 1775, European Central Bank.
- Sandra Gomes & Caterina Mendicino, 2012. "Housing Market Dynamics: Any News?," Working Papers Department of Economics 2012/23, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
- William Ginn & Marc Pourroy, 2022.
"The Contribution of Food Subsidy Policy to Monetary Policy in India,"
Post-Print
hal-02944209, HAL.
- Ginn, William & Pourroy, Marc, 2022. "The contribution of food subsidy policy to monetary policy in India," Economic Modelling, Elsevier, vol. 113(C).
- Eyal Argov & Emanuel Barnea & Alon Binyamini & Eliezer Borenstein & David Elkayam & Irit Rozenshtrom, 2012. "MOISE: A DSGE Model for the Israeli Economy," Bank of Israel Working Papers 2012.06, Bank of Israel.
- Paul Castillo & Carlos Montoro & Vicente Tuesta, 2013.
"An Estimated Stochastic General Equilibrium Model with Partial Dollarization: A Bayesian Approach,"
Open Economies Review, Springer, vol. 24(2), pages 217-265, April.
- Paul Castillo & Carlos Montoro & Vicente Tuesta, 2006. "An Estimated Stochastic General Equilibrium Model with Partial Dollarization: A Bayesian Approach," Working Papers Central Bank of Chile 381, Central Bank of Chile.
- Alexander Beames & Mariano Kulish & Nadine Yamout, 2022. "Fiscal Policy and the Slowdown in Trend Growth in an Open Economy," Working Papers 143, Red Nacional de Investigadores en Economía (RedNIE).
- SENBETA, Sisay Regassa, 2013. "Foreign exchange constraints and macroeconomic dynamics in a small open economy," Working Papers 2013023, University of Antwerp, Faculty of Business and Economics.
- Caputo, Rodrigo & Herrera, Luis Oscar, 2017. "Following the leader? The relevance of the Fed funds rate for inflation targeting countries," Journal of International Money and Finance, Elsevier, vol. 71(C), pages 25-52.
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"Do Central Banks React to House Prices?,"
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- Finocchiaro, Daria & Queijo von Heideken, Virginia, 2007. "Do Central Banks React to House Prices?," Working Paper Series 217, Sveriges Riksbank (Central Bank of Sweden), revised 01 Aug 2009.
- Daria Finocchiaro & Virginia Queijo Heideken, 2013. "Do Central Banks React to House Prices?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1659-1683, December.
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"Consumption, housing collateral and the Canadian business cycle,"
Canadian Journal of Economics, Canadian Economics Association, vol. 49(1), pages 207-236, February.
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- Ian Christensen & Paul Corrigan & Caterina Mendicino & Shin‐Ichi Nishiyama, 2016. "Consumption, housing collateral and the Canadian business cycle," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 207-236, February.
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"An assessment of Stability and Growth Pact Reform Proposals in a Small-Scale Macro Framework,"
Documents de Travail de l'OFCE
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- Jérôme Creel & Paul Hubert & Francesco Saraceno, 2012. "An assessment of stability and growth pact reform proposals in a small-scale macro framework," Working Papers hal-01070286, HAL.
- Stefano Grassi & Marco Lorusso & Francesco Ravazzolo, 2021. "Adaptive Importance Sampling for DSGE Models," BEMPS - Bozen Economics & Management Paper Series BEMPS84, Faculty of Economics and Management at the Free University of Bozen.
- Hoffmann, Mathias & Tillmann, Peter, 2008. "Integration of financial markets and national price levels: the role of exchange rate volatility," Discussion Paper Series 1: Economic Studies 2008,07, Deutsche Bundesbank.
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- Zhandos Ybrayev & Olzhas Kubenbayev & Akylzhan Baimagambetov, 2024. "Macroeconomic effects of fiscal rules for a commodity-exporting economy: avoiding procyclical bias in Kazakhstan," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 17(2), pages 271-294, May.
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- Górajski Mariusz & Kuchta Zbigniew, 2018. "Measuring Uncertainty of Optimal Simple Monetary Policy Rules in DSGE models," Lodz Economics Working Papers 6/2018, University of Lodz, Faculty of Economics and Sociology.
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- Tóth, Máté, 2021. "A multivariate unobserved components model to estimate potential output in the euro area: a production function based approach," Working Paper Series 2523, European Central Bank.
- Gregor Bäurle & Tobias Menz, 2008. "Monetary Policy in a Small Open Economy Model: A DSGE-VAR Approach for Switzerland," Working Papers 08.03, Swiss National Bank, Study Center Gerzensee.
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- Isaac Gross & James Hansen, 2013. "Reserves of Natural Resources in a Small Open Economy," RBA Research Discussion Papers rdp2013-14, Reserve Bank of Australia.
- Markus Kirchner & Malte Rieth, 2010. "Sovereign Risk and Macroeconomic Fluctuations in an Emerging Market Economy," Tinbergen Institute Discussion Papers 10-100/2, Tinbergen Institute.
- Fernando de Menezes Linardi, 2016. "Assessing the Fit of a Small Open-Economy DSGE Model for the Brazilian Economy," Working Papers Series 424, Central Bank of Brazil, Research Department.
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"Forecasting Performance of an Open Economy Dynamic Stochastic General Equilibrium Model,"
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190, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2006.
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Cited by:
- Luiz Renato Regis de Oliveira Lima & Wagner Piazza Gaglianone, 2012.
"Constructing Optimal Density Forecasts from Point Forecast Combinations,"
Série Textos para Discussão (Working Papers)
5, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
- Wagner Piazza Gaglianone & Luiz Renato Lima, 2014. "Constructing Optimal Density Forecasts From Point Forecast Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 736-757, August.
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"Forecasting Canadian Time Series with the New-Keynesian Model,"
Cahiers de recherche
0527, CIRPEE.
- Ali Dib & Mohamed Gammoudi & Kevin Moran, 2008. "Forecasting Canadian time series with the New Keynesian model," Canadian Journal of Economics, Canadian Economics Association, vol. 41(1), pages 138-165, February.
- Ali Dib & Mohamed Gammoudi & Kevin Moran, 2008. "Forecasting Canadian time series with the New Keynesian model," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(1), pages 138-165, February.
- Ali Dib & Mohamed Gammoudi & Kevin Moran, 2006. "Forecasting Canadian Time Series With the New-Keynesian Model," Working Papers Central Bank of Chile 382, Central Bank of Chile.
- Ali Dib & Mohamed Gammoudi & Kevin Moran, 2006. "Forecasting Canadian Time Series with the New Keynesian Model," Staff Working Papers 06-4, Bank of Canada.
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"Comparing the New Keynesian Phillips Curve with time series models to forecast inflation,"
The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 126-144, August.
- Fabio Rumler & Maria Teresa Valderrama, 2007. "Comparing the New Keynesian Phillips Curve with Time Series Models to Forecast Inflation," EcoMod2007 23900080, EcoMod.
- Fabio Rumler & Maria Teresa Valderrama, 2008. "Comparing the New Keynesian Phillips Curve with Time Series Models to Forecast Inflation," Working Papers 148, Oesterreichische Nationalbank (Austrian Central Bank).
- Kirdan Lees & Troy Matheson & Christie Smith, 2007.
"Open economy DSGE-VAR forecasting and policy analysis - head to head with the RBNZ published forecasts,"
Reserve Bank of New Zealand Discussion Paper Series
DP2007/01, Reserve Bank of New Zealand.
- Kirdan Lees & Troy Matheson & Christie Smith, 2007. "Open Economy Dsge-Var Forecasting And Policy Analysis: Head To Head With The Rbnz Published Forecasts," CAMA Working Papers 2007-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Garratt, Anthony & Mise, Emi, 2014. "Forecasting exchange rates using panel model and model averaging," Economic Modelling, Elsevier, vol. 37(C), pages 32-40.
- Linde, Jesper & Adolfson, Malin & LASEEN, PER & Villani, Mattias, 2007.
"Evaluating An Estimated New Keynesian Small Open Economy Model,"
CEPR Discussion Papers
6027, C.E.P.R. Discussion Papers.
- Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2007. "Evaluating An Estimated New Keynesian Small Open Economy Model," Working Paper Series 203, Sveriges Riksbank (Central Bank of Sweden).
- Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2008. "Evaluating an estimated new Keynesian small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2690-2721, August.
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"Machine learning and oil price point and density forecasting,"
Energy Economics, Elsevier, vol. 102(C).
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"Evaluation of exchange rate point and density forecasts: An application to Brazil,"
International Journal of Forecasting, Elsevier, vol. 33(3), pages 707-728.
- Wagner Piazza Gaglianone & Jaqueline Terra Moura Marins, 2016. "Evaluation of Exchange Rate Point and Density Forecasts: an application to Brazil," Working Papers Series 446, Central Bank of Brazil, Research Department.
- Siok Kun, Sek, 2009. "The impacts of economic structures on the performance of simple policy rules in a small open economy," MPRA Paper 25065, University Library of Munich, Germany.
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"DSGE model-based forecasting of non-modelled variables,"
International Journal of Forecasting, Elsevier, vol. 26(2), pages 348-373, April.
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- Frank Schorfheide & Keith Sill & Maxym Kryshko, 2009. "DSGE Model-Based Forecasting of Non-modelled Variables," NBER Working Papers 14872, National Bureau of Economic Research, Inc.
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"A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model,"
Finance and Economics Discussion Series
2009-10, Board of Governors of the Federal Reserve System (U.S.).
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2010. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 720-754.
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"Testing a DSGE model and its partner database,"
Borradores de Economia
479, Banco de la Republica de Colombia.
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"Inference in Vector Autoregressive Models with an Informative Prior on the Steady State,"
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Cited by:
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- Louzis Dimitrios P., 2016.
"Steady-state priors and Bayesian variable selection in VAR forecasting,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
- Dimitrios P. Louzis, 2015. "Steady-state priors and Bayesian variable selection in VAR forecasting," Working Papers 195, Bank of Greece.
- International Monetary Fund, 2010. "Price Dynamics in China," IMF Working Papers 2010/221, International Monetary Fund.
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"Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs,"
Working Paper Series
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- Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
- Pär Österholm & Mr. Helge Berger, 2008. "Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs," IMF Working Papers 2008/053, International Monetary Fund.
- Utlaut, Johannes Friederich & van Roye, Björn, 2010. "The effects of external shocks to business cycles in emerging Asia: A Bayesian VAR approach," Kiel Working Papers 1668, Kiel Institute for the World Economy (IfW Kiel).
- P&aauml;r Österholm & Jeromin Zettelmeyer, 2008.
"The Effect of External Conditions on Growth in Latin America,"
IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 595-623, December.
- Mr. Jeromin Zettelmeyer & Pär Österholm, 2007. "The Effect of External Conditions on Growth in Latin America," IMF Working Papers 2007/176, International Monetary Fund.
- Par Osterholm, 2008. "A structural Bayesian VAR for model-based fan charts," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1557-1569.
- Pär Österholm, 2008. "Can forecasting performance be improved by considering the steady state? An application to Swedish inflation and interest rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 41-51.
- 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.
- Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 111-144, December.
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- Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
- Berger, Helge & Österholm, Pär, 2008.
"Does money growth granger-cause inflation in the Euro Area? Evidence from output-of-sample forecasts using Bayesian VARs,"
Discussion Papers
2008/10, Free University Berlin, School of Business & Economics.
- Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
- Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016. "The BEAR toolbox," Working Paper Series 1934, European Central Bank.
- Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
- 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.
- 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.
Cited by:
- Karlsson, Sune, 2012.
"Forecasting with Bayesian Vector Autoregressions,"
Working Papers
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- 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.
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"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).
- 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.
- Andrea Silvestrini, 2010. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," Empirical Economics, Springer, vol. 39(1), pages 241-274, August.
- 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.
- 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.
- 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.
- 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.
- 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.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2018. "Priors for the long run," Working Paper Series 2132, European Central Bank.
- Ciobotaru, Corina & Mazza, Christian, 2022. "Consistency and asymptotic normality of M-estimates of scatter on Grassmann manifolds," Journal of Multivariate Analysis, Elsevier, vol. 190(C).
- Helmut Luetkepohl, 2007. "Econometric Analysis with Vector Autoregressive Models," Economics Working Papers ECO2007/11, European University Institute.
- Sugita, Katsuhiro & 杉田, 勝弘, 2006. "Bayesian Analysis of Dynamic Multivariate Models with Multiple Structural Breaks," Discussion Papers 2006-14, Graduate School of Economics, Hitotsubashi University.
- Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.
- Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
- Sugita, Katsuhiro & 杉田, 勝弘, 2006. "Time Series Analysis of the Expectations Hypothesis for the Japanese Term Structure of Interest Rates in the Presence of Multiple Structural Breaks," Discussion Papers 2006-15, Graduate School of Economics, Hitotsubashi University.
- 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.
- Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 111-144, December.
Cited by:
- Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
- Wieland, Volker & Wolters, Maik, 2013.
"Forecasting and Policy Making,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325,
Elsevier.
- Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
- Louzis Dimitrios P., 2016.
"Steady-state priors and Bayesian variable selection in VAR forecasting,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
- Dimitrios P. Louzis, 2015. "Steady-state priors and Bayesian variable selection in VAR forecasting," Working Papers 195, Bank of Greece.
- Mr. Andrea Pescatori & Stefan Laseen, 2016.
"Financial Stability and Interest-Rate Policy: A Quantitative Assessment of Costs and Benefits,"
IMF Working Papers
2016/073, International Monetary Fund.
- Stefan Laséen & Andrea Pescatori, 2020. "Financial stability and interest‐rate policy: A quantitative assessment of costs and benefit," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(3), pages 1246-1273, August.
- Sebastian Ankargren & Mårten Bjellerup & Hovick Shahnazarian, 2017. "The importance of the financial system for the real economy," Empirical Economics, Springer, vol. 53(4), pages 1553-1586, December.
- 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.
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," MPRA Paper 36147, University Library of Munich, Germany.
- Maik H. Wolters, 2015. "Evaluating Point and Density Forecasts of DSGE Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 74-96, January.
- Wolters, Maik H., 2011. "Forecasting under Model Uncertainty," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48723, Verein für Socialpolitik / German Economic Association.
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," IMFS Working Paper Series 59, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Andrés González Gómez & Lavan Mahadeva & Diego Rodríguez & Luis Eduardo Rojas, 2009.
"Monetary Policy Forecasting In A Dsge Model With Data That Is Uncertain, Unbalanced And About The Future,"
Borradores de Economia
5480, Banco de la Republica.
- Andrés González Gómez & Lavan Mahadeva & Diego Rodríguez & Luis Eduardo Rojas, 2009. "Monetary Policy Forecasting in a DSGE Model with Data that is Uncertain, Unbalanced and About the Future," Borradores de Economia 559, Banco de la Republica de Colombia.
- Karlsson, Sune, 2012.
"Forecasting with Bayesian Vector Autoregressions,"
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"Do inflation expectations granger cause inflation?,"
Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(2), pages 403-431, August.
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"A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model,"
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Cited by:
- 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.
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- Martha Banbura & Domenico Giannone & Michèle Lenza, 2014. "Conditional Forecasts and Scenario Analysis with Vector Autoregressions for Large Cross-Sections," Working Papers ECARES ECARES 2014-15, ULB -- Universite Libre de Bruxelles.
- Giannone, Domenico & Bańbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," Working Paper Series 1733, European Central Bank.
- Benati, Luca, 2023. "Exploring the trade-off between leaning against credit and stabilizing economic activity," Economics Letters, Elsevier, vol. 223(C).
- Harrison, Ricahrd, 2014. "Estimating the effects of forward guidance in rational expectations models," LSE Research Online Documents on Economics 86327, London School of Economics and Political Science, LSE Library.
- Pär Österholm, 2009.
"Incorporating Judgement in Fan Charts,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(2), pages 387-415, June.
- Österholm, Pär, 2006. "Incorporating Judgement in Fan Charts," Working Paper Series 2006:30, Uppsala University, Department of Economics.
- Pär Österholm, 2006. "Incorporating judgement in fan charts," Finance and Economics Discussion Series 2006-39, Board of Governors of the Federal Reserve System (U.S.).
- Farooq Akram & Andrew Binning & Junior Maih, 2016.
"Joint prediction bands for macroeconomic risk management,"
Working Paper
2016/7, Norges Bank.
- Farooq Akram & Andrew Binning & Junior Maih, 2016. "Joint Prediction Bands for Macroeconomic Risk Management," Working Papers No 5/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Kamal, Mona, 2011. "Bayesian Estimation of Dynamic Stochastic General Equilibrium Model Using UK Data," MPRA Paper 28988, University Library of Munich, Germany.
- Jaromír Beneš & Andrew Binning & Kirdan Lees, 2008. "Incorporating judgement with DSGE models," Reserve Bank of New Zealand Discussion Paper Series DP2008/10, Reserve Bank of New Zealand.
- Troy Davig & Eric M. Leeper, 2005.
"Generalizing the Taylor Principle,"
NBER Working Papers
11874, National Bureau of Economic Research, Inc.
- Troy Davig & Eric M. Leeper, 2006. "Generalizing the Taylor Principle," CAEPR Working Papers 2006-001, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Troy Davig & Eric M. Leeper, 2005. "Generalizing the Taylor principle," Research Working Paper RWP 05-13, Federal Reserve Bank of Kansas City.
- Troy Davig & Eric M. Leeper, 2007. "Generalizing the Taylor Principle," American Economic Review, American Economic Association, vol. 97(3), pages 607-635, June.
- 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.
- Villani, Mattias & Larsson, Rolf, 2004.
"The Multivariate Split Normal Distribution and Asymmetric Principal Components Analysis,"
Working Paper Series
175, Sveriges Riksbank (Central Bank of Sweden).
Cited by:
- Maximiano Pinheiro & Paulo Esteves, 2012.
"On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information,"
Empirical Economics, Springer, vol. 42(3), pages 639-665, June.
- Paulo Esteves & Maximiano Pinheiro, 2008. "On the uncertainty and risks of macroeconomic forecasts: Combining judgements with sample and model information," Working Papers w200821, Banco de Portugal, Economics and Research Department.
- Maximiano Pinheiro, 2012.
"Marginal Distributions of Random Vectors Generated by Affine Transformations of Independent Two-Piece Normal Variables,"
Journal of Probability and Statistics, Hindawi, vol. 2012, pages 1-10, April.
- Maximiano Pinheiro, 2010. "Marginal Distributions of Random Vectors Generated by Affine Transformations of Independent Two-Piece Normal Variables," Working Papers w201013, Banco de Portugal, Economics and Research Department.
- Maximiano Pinheiro & Paulo Esteves, 2012.
"On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information,"
Empirical Economics, Springer, vol. 42(3), pages 639-665, June.
- Corander, Jukka & Villani, Mattias, 2004.
"A Bayesian Approach to Modelling Graphical Vector Autoregressions,"
Working Paper Series
171, Sveriges Riksbank (Central Bank of Sweden).
- Jukka Corander & Mattias Villani, 2006. "A Bayesian Approach to Modelling Graphical Vector Autoregressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(1), pages 141-156, January.
Cited by:
- P. Giudici & A. Spelta, 2016.
"Graphical Network Models for International Financial Flows,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 128-138, January.
- Paolo Giudici & Alessandro Spelta, 2013. "Graphical network models for international financial flows," DEM Working Papers Series 052, University of Pavia, Department of Economics and Management.
- Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2020.
"Modeling Turning Points In Global Equity Market,"
DEM Working Papers Series
195, University of Pavia, Department of Economics and Management.
- Ahelegbey, Daniel Felix & Billio, Monica & Casarin, Roberto, 2024. "Modeling Turning Points in the Global Equity Market," Econometrics and Statistics, Elsevier, vol. 30(C), pages 60-75.
- Ahelegbey, Daniel Felix, 2015. "The Econometrics of Bayesian Graphical Models: A Review With Financial Application," MPRA Paper 92634, University Library of Munich, Germany, revised 25 Apr 2016.
- Tomasz Woźniak, 2016. "Bayesian Vector Autoregressions," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(3), pages 365-380, September.
- Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2016.
"Sparse Graphical Vector Autoregression: A Bayesian Approach,"
Annals of Economics and Statistics, GENES, issue 123-124, pages 333-361.
- Roberto Casarin & Daniel Felix Ahelegbey & Monica Billio, 2014. "Sparse Graphical Vector Autoregression: A Bayesian Approach," Working Papers 2014:29, Department of Economics, University of Venice "Ca' Foscari".
- Paci, Lucia & Consonni, Guido, 2020. "Structural learning of contemporaneous dependencies in graphical VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
- Yin, Libo & Ma, Xiyuan, 2018. "Causality between oil shocks and exchange rate: A Bayesian, graph-based VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 434-453.
- Tomasz Wozniak, 2016. "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series 2021, The University of Melbourne.
- Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2012.
"Bayesian Graphical Models for Structural Vector Autoregressive Processes,"
Working Papers
2012:36, Department of Economics, University of Venice "Ca' Foscari".
- Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2016. "Bayesian Graphical Models for STructural Vector Autoregressive Processes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 357-386, March.
- Daniel Felix Ahelegbey & Paolo Giudici, 2014. "Hierarchical Graphical Models, With Application To Systemic Risk," DEM Working Papers Series 063, University of Pavia, Department of Economics and Management.
- Daniel Felix Ahelegbey & Paolo Giudici, 2020. "Market Risk, Connectedness and Turbulence: A Comparison of 21st Century Financial Crises," DEM Working Papers Series 188, University of Pavia, Department of Economics and Management.
- Daniela Scidá, 2023. "Structural VAR and financial networks: A minimum distance approach to spatial modeling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 49-68, January.
- Daniel Felix Ahelegbey, 2015. "The Econometrics of Networks: A Review," Working Papers 2015:13, Department of Economics, University of Venice "Ca' Foscari".
- Warne, Anders & Villani, Mattias, 2003.
"Monetary policy analysis in a small open economy using Bayesian cointegrated structural VARs,"
Working Paper Series
296, European Central Bank.
- 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).
Cited by:
- Claeys Peter, 2008.
"Estimating the effects of fiscal policy under the budget constraint,"
wp.comunite
0038, Department of Communication, University of Teramo.
- Peter Claeys, 2007. "Estimating the effects of fiscal policy under the budget constraint," IREA Working Papers 200715, University of Barcelona, Research Institute of Applied Economics, revised Jul 2007.
- Berger, Helge & Österholm, Pär, 2007.
"Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs,"
Working Paper Series
2007:30, Uppsala University, Department of Economics.
- Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
- Pär Österholm & Mr. Helge Berger, 2008. "Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs," IMF Working Papers 2008/053, International Monetary Fund.
- Annika Alexius & Bertil Holmlund, 2007.
"Monetary Policy and Swedish Unemployment Fluctuations,"
CESifo Working Paper Series
2044, CESifo.
- Alexius, Annika & Holmlund, Bertil, 2008. "Monetary policy and Swedish unemployment fluctuations," Working Paper Series 2008:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Alexius, Annika & Holmlund, Bertil, 2007. "Monetary Policy and Swedish Unemployment Fluctuations," IZA Discussion Papers 2933, Institute of Labor Economics (IZA).
- Alexius, Annika & Holmlund, Bertil, 2007. "Monetary Policy and Swedish Unemployment Fluctuations," Economics Discussion Papers 2007-34, Kiel Institute for the World Economy (IfW Kiel).
- Holmlund, Bertil & Alexius, Annika, 2008. "Monetary Policy and Swedish Unemployment Fluctuations," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-25.
- Alexius, Annika & Holmlund, Bertil, 2007. "Monetary Policy and Swedish Unemployment Fluctuations," Kiel Working Papers 1329, Kiel Institute for the World Economy (IfW Kiel).
- Alexius, Annika & Holmlund, Bertil, 2007. "Monetary Policy and Swedish Unemployment Fluctuations," Working Paper Series 2007:17, Uppsala University, Department of Economics.
- Svensson, Emma, 2012. "Regional Effects of Monetary Policy in Sweden," Working Papers 2012:9, Lund University, Department of Economics, revised 01 Mar 2013.
- Pär Stockhammar & Pär Österholm, 2016.
"Effects of US policy uncertainty on Swedish GDP growth,"
Empirical Economics, Springer, vol. 50(2), pages 443-462, March.
- Stockhammar, Pär & Österholm, Pär, 2014. "Effects of US Policy Uncertainty on Swedish GDP Growth," Working Papers 135, National Institute of Economic Research.
- Ascari, Guido & Rankin, Neil, 2007.
"Perpetual youth and endogenous labor supply: A problem and a possible solution,"
Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.
- Ascari, Guido & Rankin, Neil, 2004. "Perpetual youth and endogenous labour supply: a problem and a possible solution," Working Paper Series 346, European Central Bank.
- Sune Karlsson & Pär Österholm, 2020.
"A note on the stability of the Swedish Phillips curve,"
Empirical Economics, Springer, vol. 59(6), pages 2573-2612, December.
- Karlsson, Sune & Österholm, Pär, 2018. "A Note on the Stability of the Swedish Philips Curve," Working Papers 2018:6, Örebro University, School of Business.
- Pär Österholm, 2009.
"Incorporating Judgement in Fan Charts,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(2), pages 387-415, June.
- Österholm, Pär, 2006. "Incorporating Judgement in Fan Charts," Working Paper Series 2006:30, Uppsala University, Department of Economics.
- Pär Österholm, 2006. "Incorporating judgement in fan charts," Finance and Economics Discussion Series 2006-39, Board of Governors of the Federal Reserve System (U.S.).
- Gustafsson, Peter & Stockhammar, Pär & Österholm, Pär, 2015.
"Macroeconomic Effects of a Decline in Housing Prices in Sweden,"
Working Papers
138, National Institute of Economic Research.
- Gustafsson, Peter & Stockhammar, Pär & Österholm, Pär, 2016. "Macroeconomic effects of a decline in housing prices in Sweden," Journal of Policy Modeling, Elsevier, vol. 38(2), pages 242-255.
- P�r Österholm & P�r Stockhammar, 2014.
"The euro crisis and Swedish GDP growth - a study of spillovers,"
Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1105-1110, November.
- Österholm, Pär & Stockhammar, Pär, 2014. "The Euro Crisis and Swedish GDP Growth — A Study of Spillovers," Working Papers 134, National Institute of Economic Research.
- Corbo, Vesna & Di Casola, Paola, 2018. "Conditional exchange rate pass-through: evidence from Sweden," Working Paper Series 352, Sveriges Riksbank (Central Bank of Sweden).
- Lisandro Abrego & Pär Österholm, 2010.
"External Linkages and Economic Growth in Colombia: Insights from a Bayesian VAR Model,"
The World Economy, Wiley Blackwell, vol. 33(12), pages 1788-1810, December.
- Pär Österholm & Mr. Lisandro Abrego, 2008. "External Linkages and Economic Growth in Colombia: Insights from A Bayesian VAR Model," IMF Working Papers 2008/046, International Monetary Fund.
- Dison, Will & Theodoridis, Konstantinos, 2017. "Do macro shocks matter for equities?," Bank of England working papers 692, Bank of England.
- Villarreal, Francisco G. & Kronick, Jeremy M., 2019.
"Distributional impacts of low for long interest rates,"
Estudios y Perspectivas – Sede Subregional de la CEPAL en México
44666, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
- Kronick, Jeremy M. & Villarreal, Francisco G., 2019. "Distributional Impacts of Low for Long Interest Rates," MPRA Paper 93483, University Library of Munich, Germany.
- 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).
- Siok Kun, Sek, 2009. "The impacts of economic structures on the performance of simple policy rules in a small open economy," MPRA Paper 25065, University Library of Munich, Germany.
- 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).
- Par Osterholm, 2008. "A structural Bayesian VAR for model-based fan charts," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1557-1569.
- 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.
- Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 111-144, December.
- Meredith Beechey & Pär Österholm, 2008. "A Bayesian Vector Autoregressive Model with Informative Steady‐state Priors for the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 84(267), pages 449-465, December.
- Par Osterholm, 2010.
"The effect on the Swedish real economy of the financial crisis,"
Applied Financial Economics, Taylor & Francis Journals, vol. 20(4), pages 265-274.
- Österholm, Pär, 2009. "The Effect on the Swedish Real Economy of the Financial Crisis," Working Papers 110, National Institute of Economic Research.
- Amarasekara, Chandranath, 2008. "The Impact of Monetary Policy on Economic Growth and Inflation in Sri Lanka," MPRA Paper 64866, University Library of Munich, Germany.
- Stockhammar, Pär & Österholm, Pär, 2016.
"The Impact of US Uncertainty Shocks on Small Open Economies,"
Working Papers
2016:5, Örebro University, School of Business.
- Pär Stockhammar & Pär Österholm, 2017. "The Impact of US Uncertainty Shocks on Small Open Economies," Open Economies Review, Springer, vol. 28(2), pages 347-368, April.
- Berger, Helge & Österholm, Pär, 2008.
"Does money growth granger-cause inflation in the Euro Area? Evidence from output-of-sample forecasts using Bayesian VARs,"
Discussion Papers
2008/10, Free University Berlin, School of Business & Economics.
- Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
- Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
- Villani, Mattias, 1999.
"Bayesian Prediction with a Cointegrated Vector Autoregression,"
Working Paper Series
97, Sveriges Riksbank (Central Bank of Sweden).
- Villani, Mattias, 2001. "Bayesian prediction with cointegrated vector autoregressions," International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
Cited by:
- Karlsson, Sune, 2012.
"Forecasting with Bayesian Vector Autoregressions,"
Working Papers
2012:12, Örebro University, School of Business.
- 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.
- 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," 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.
- Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
- Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Working Papers hal-03458277, HAL.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Documents de Travail de l'OFCE 2018-18, Observatoire Francais des Conjonctures Economiques (OFCE).
- Bruggeman, Annick & Donati, Paola & Warne, Anders, 2003. "Is the demand for euro area M3 stable?," Working Paper Series 255, European Central Bank.
- 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.
- 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.
- 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.
- Jansson, Per & Vredin, Anders, 2001. "Forecast-based Monetary Policy in Sweden 1992-1998: A View from Within," Working Paper Series 120, Sveriges Riksbank (Central Bank of Sweden).
- Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021.
"Stochastic model specification in Markov switching vector error correction models,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
- Niko Hauzenberger & Florian Huber & Michael Pfarrhofer & Thomas O. Zorner, 2018. "Stochastic model specification in Markov switching vector error correction models," Papers 1807.00529, arXiv.org, revised Sep 2019.
- Huber, Florian & Pfarrhofer, Michael & Zörner, Thomas O., 2018. "Stochastic model specification in Markov switching vector error correction models," Working Papers in Economics 2018-3, University of Salzburg.
- De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
- 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.
- Patricio Jaramillo, 2008.
"Estimación de Var Bayesianos para la Economía Chilena,"
Working Papers Central Bank of Chile
508, Central Bank of Chile.
- Patricio Jaramillo, 2009. "Estimación de VAR Bayesianos para la Economía Chilena," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 24(1), pages 101-126, Junio.
- Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
- Prüser, Jan, 2023. "Data-based priors for vector error correction models," International Journal of Forecasting, Elsevier, vol. 39(1), pages 209-227.
- 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.
- John Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Staff Working Papers 07-1, Bank of Canada.
- Jan G. De Gooijer & Rob J. Hyndman, 2005.
"25 Years of IIF Time Series Forecasting: A Selective Review,"
Monash Econometrics and Business Statistics Working Papers
12/05, Monash University, Department of Econometrics and Business Statistics.
- Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
- Per Jansson & Anders Vredin, 2003. "Forecast‐Based Monetary Policy: The Case of Sweden," International Finance, Wiley Blackwell, vol. 6(3), pages 349-380, November.
- Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
- Christoffel, Kai & Coenen, Gunter & Warne, Anders, 2007. "Conditional versus unconditional forecasting with the New Area-Wide Model of the euro area," MPRA Paper 76759, University Library of Munich, Germany.
- Lieb, Lenard & Smeekes, Stephan, 2017.
"Inference for Impulse Responses under Model Uncertainty,"
Research Memorandum
022, Maastricht University, Graduate School of Business and Economics (GSBE).
- Lenard Lieb & Stephan Smeekes, 2017. "Inference for Impulse Responses under Model Uncertainty," Papers 1709.09583, arXiv.org, revised Oct 2019.
- Warne, Anders & Coenen, Günter & Christoffel, Kai, 2013. "Predictive likelihood comparisons with DSGE and DSGE-VAR models," Working Paper Series 1536, European Central Bank.
Articles
- Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran, 2019.
"Speeding Up MCMC by Efficient Data Subsampling,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 831-843, April.
See citations under working paper version above.
- Kohn, Robert & Quiroz, Matias & Tran, Minh-Ngoc & Villani, Mattias, 2016. "Speeding up MCMC by Efficient Data Subsampling," Working Papers 2123/16205, University of Sydney Business School, Discipline of Business Analytics.
- Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015. "Speeding Up Mcmc By Efficient Data Subsampling," Working Paper Series 297, Sveriges Riksbank (Central Bank of Sweden).
- Matias Quiroz & Mattias Villani & Robert Kohn & Minh-Ngoc Tran & Khue-Dung Dang, 2018.
"Subsampling MCMC - an Introduction for the Survey Statistician,"
Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 33-69, December.
Cited by:
- Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc & Villani, Mattias, 2019. "Hamiltonian Monte Carlo with Energy Conserving Subsampling," Working Paper Series 372, Sveriges Riksbank (Central Bank of Sweden).
- Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014.
"Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
See citations under working paper version above.
- Giordani, Paolo & Jacobson, Tor & von Schedvin , Erik & Villani, Mattias, 2011. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Working Paper Series 256, Sveriges Riksbank (Central Bank of Sweden).
- Feng Li & Mattias Villani, 2013.
"Efficient Bayesian Multivariate Surface Regression,"
Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 706-723, December.
Cited by:
- Takuma Yoshida, 2017. "Nonlinear surface regression with dimension reduction method," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(1), pages 29-50, January.
- Thiyanga S. Talagala & Feng Li & Yanfei Kang, 2019. "Feature-based Forecast-Model Performance Prediction," Monash Econometrics and Business Statistics Working Papers 21/19, Monash University, Department of Econometrics and Business Statistics.
- Talagala, Thiyanga S. & Li, Feng & Kang, Yanfei, 2022. "FFORMPP: Feature-based forecast model performance prediction," International Journal of Forecasting, Elsevier, vol. 38(3), pages 920-943.
- Villani, Mattias & Kohn, Robert & Nott, David J., 2012.
"Generalized smooth finite mixtures,"
Journal of Econometrics, Elsevier, vol. 171(2), pages 121-133.
Cited by:
- Drobetz, Wolfgang & Merikas, Andreas & Merika, Anna & Tsionas, Mike G., 2014. "Corporate social responsibility disclosure: The case of international shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 18-44.
- Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
- Li, Feng & Kang, Yanfei, 2018. "Improving forecasting performance using covariate-dependent copula models," International Journal of Forecasting, Elsevier, vol. 34(3), pages 456-476.
- Gregor Zens, 2018. "Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership," Papers 1809.04853, arXiv.org, revised Jan 2019.
- Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
- Parfait Munezero, 2022. "Efficient particle smoothing for Bayesian inference in dynamic survival models," Computational Statistics, Springer, vol. 37(2), pages 975-994, April.
- Gregor Zens, 2019. "Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 1019-1051, December.
- Cozzini, Alberto & Jasra, Ajay & Montana, Giovanni & Persing, Adam, 2014. "A Bayesian mixture of lasso regressions with t-errors," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 84-97.
- Oskar Gustafsson & Mattias Villani & Pär Stockhammar, 2023.
"Bayesian optimization of hyperparameters from noisy marginal likelihood estimates,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 577-595, June.
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CEPR Discussion Papers
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"Should We Use Linearized Models To Calculate Fiscal Multipliers?,"
Working Paper Series
350, Sveriges Riksbank (Central Bank of Sweden).
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"Identification Versus Misspecification in New Keynesian Monetary Policy Models,"
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362, Sveriges Riksbank (Central Bank of Sweden).
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"Challenges for Central Banks´ Macro Models,"
Working Paper Series
323, Sveriges Riksbank (Central Bank of Sweden).
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"Fiscal consolidation in a currency union: Spending cuts vs. tax hikes,"
Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 422-445.
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"Asymmetric Shocks in a Currency Union with Monetary and Fiscal Handcuffs,"
NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 95-136.
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Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1826-1849, October.
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Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 1999-2041.
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Globalization Institute Working Papers
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CEPR Discussion Papers
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"Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks,"
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European Economic Review, Elsevier, vol. 88(C), pages 108-141.
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"Introducing financial frictions and unemployment into a small open economy model,"
Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 1999-2041.
- Mathias Trabandt & Karl Walentin & Lawrence J. Christiano, 2008. "Introducing Financial Frictions and Unemployment into a Small Open Economy Model," 2008 Meeting Papers 423, Society for Economic Dynamics.
- Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2007. "Introducing Financial Frictions and Unemployment into a Small Open Economy Model," Working Paper Series 214, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2011.
- Lawrence J. Christiano & Mathias Trabandt & Karl Walentin, 2010. "Introducing financial frictions and unemployment into a small open economy model," FRB Atlanta CQER Working Paper 2010-04, Federal Reserve Bank of Atlanta.
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- Lars E.O. Svensson, 2009. "Evaluating Monetary Policy," NBER Working Papers 15385, National Bureau of Economic Research, Inc.
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"Optimal Monetary Policy in an Operational Medium-Sized DSGE Model,"
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- Adolfson, Malin & Lindé, Jesper, 2011. "Parameter Identification in a Estimated New Keynesian Open Economy Model," Working Paper Series 251, Sveriges Riksbank (Central Bank of Sweden).
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"OVERVALUED: SWEDISH MONETARY POLICY IN THE 1930s,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(4), pages 1355-1369, November.
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Econometric Institute Research Papers
EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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- 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-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.
- 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.
- 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.
- Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
- Christian Aßmann & Jens Boysen-Hogrefe & Markus Pape, 2024. "Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 577-609, September.
- 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.
- 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.
- Piotr Kębłowski, 2021. "GVAR: A Case of Spurious Cross-Sectional Cointegration," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(2), pages 175-187, June.
- 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.
- Tom Doan, "undated". "RATS program to demonstrate Gibbs sampling in a cointegrated model," Statistical Software Components RTZ00187, Boston College Department of Economics.
- 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.
- 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.
- Mattias Villani, 2001.
"Fractional Bayesian Lag Length Inference in Multivariate Autoregressive Processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 22(1), pages 67-86, January.
Cited by:
- Ming-Liang Yeh & Hsiao-Ping Chu & Peter Sher & Yi-Chia Chiu, 2010. "R&D intensity, firm performance and the identification of the threshold: fresh evidence from the panel threshold regression model," Applied Economics, Taylor & Francis Journals, vol. 42(3), pages 389-401.
- Paci, Lucia & Consonni, Guido, 2020. "Structural learning of contemporaneous dependencies in graphical VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
- Warne, Anders, 2006. "Bayesian inference in cointegrated VAR models: with applications to the demand for euro area M3," Working Paper Series 692, European Central Bank.
- Villani, Mattias, 2001.
"Bayesian prediction with cointegrated vector autoregressions,"
International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
See citations under working paper version above.
- Villani, Mattias, 1999. "Bayesian Prediction with a Cointegrated Vector Autoregression," Working Paper Series 97, Sveriges Riksbank (Central Bank of Sweden).