Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C1: Econometric and Statistical Methods and Methodology: General
/ / / C11: Bayesian Analysis: General

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This JEL code is mentioned in the following RePEc Biblio entries:

1. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)

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This topic is covered by the following reading lists:

1. SOEP based publications

2021

• Ibrahim D. Raheem & Kazeem B. Ajide, 2021. "The Journey towards Dollarization: The Role of the Tourism Industry," Research Africa Network Working Papers 21/008, Research Africa Network (RAN).
• Navin Kartik & Frances Xu Lee & Wing Suen, 2021. "Information Validates the Prior: A Theorem on Bayesian Updating and Applications," American Economic Review: Insights, American Economic Association, vol. 3(2), pages 165-182, June.
• Raheem, Ibrahim & Ajide, Kazeem, 2020. "The journey towards dollarization: the role of the tourism industry," MPRA Paper 105505, University Library of Munich, Germany.
  • Ibrahim D. Raheem & Kazeem B. Ajide, 2021. "The Journey towards Dollarization: The Role of the Tourism Industry," Working Papers of the African Governance and Development Institute. 21/008, African Governance and Development Institute..
  • Ibrahim D. Raheem & Kazeem B. Ajide, 2021. "The Journey towards Dollarization: The Role of the Tourism Industry," Working Papers 21/008, European Xtramile Centre of African Studies (EXCAS).
• Edwin Fourrier-Nicolai & Michel Lubrano, 2021. "Bayesian Inference for Parametric Growth Incidence Curves," AMSE Working Papers 2131, Aix-Marseille School of Economics, France.
• Michel Lubrano & Zhou Xun, 2021. "The Bayesian approach to poverty measurement," AMSE Working Papers 2133, Aix-Marseille School of Economics, France.
• Monica Billio & Roberto Casarin & Michele Costola & Matteo Iacopini, 2021. "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Working Papers 2021:05, Department of Economics, University of Venice "Ca' Foscari".
  • Billio Monica & Casarin Roberto & Costola Michele & Iacopini Matteo, 2021. "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Papers 2101.00422, arXiv.org.
• Laura Liu & Mikkel Plagborg-Møller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," CAEPR Working Papers 2021-001, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  • Laura Liu & Mikkel Plagborg-M{o}ller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," Papers 2101.04771, arXiv.org.
• Huang, W. & Linton, O. & Zhang, Z., 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Cambridge Working Papers in Economics 2113, Faculty of Economics, University of Cambridge.
  • Wei Huang & Oliver Linton & Zheng Zhang, 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Papers 2102.08063, arXiv.org.
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
  • Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
• Boris Chafwehé & Rigas Oikonomou & Romanos Priftis & Lukas Vogel, 2021. "(Optimal) Monetary Policy with and without Debt," Staff Working Papers 21-5, Bank of Canada.
• Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
• International Economics and Euro Area Department, 2021. "Report on the Latin American economy. First half of 2021. Outlook, vulnerabilities and policy space," Economic Bulletin, Banco de España, issue 2/2021, pages 1-35.
• Danilo Leiva-Leon & Luis Uzeda, 2020. "Endogenous Time Variation in Vector Autoregressions," Staff Working Papers 20-16, Bank of Canada.
  • Danilo Leiva-Leon & Luis Uzeda, 2021. "Endogenous time variation in vector autoregressions," Working Papers 2108, Banco de España.
• Valentina Aprigliano & Simone Emiliozzi & Gabriele Guaitoli & Andrea Luciani & Juri Marcucci & Libero Monteforte, 2021. "The power of text-based indicators in forecasting the Italian economic activity," Temi di discussione (Economic working papers) 1321, Bank of Italy, Economic Research and International Relations Area.
• Emanuel Kohlscheen & Jouchi Nakajima, 2021. "Steady‐state growth," International Finance, Wiley Blackwell, vol. 24(1), pages 40-52, April.
  • Emanuel Kohlscheen & Jouchi Nakajima, 2019. "Steady-state growth," BIS Working Papers 812, Bank for International Settlements.
• 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.
• Reif Magnus, 2021. "Macroeconomic uncertainty and forecasting macroeconomic aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
• Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
• Wei Huang & Oliver Linton & Zheng Zhang, 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Papers 2102.08063, arXiv.org.
  • Huang, W. & Linton, O. & Zhang, Z., 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Cambridge Working Papers in Economics 2113, Faculty of Economics, University of Cambridge.
• Goodhead, Robert, 2021. "The Economic Impact of Yield Curve Compression: Evidence from Euro Area Forward Guidance and Unconventional Monetary Policy," Research Technical Papers 1/RT/21, Central Bank of Ireland.
• Liu, Chunping & Ou, Zhirong, 2021. "Revisiting the determinants of house prices in China’s megacities: cross-sectional heterogeneity, interdependencies and spillovers," Cardiff Economics Working Papers E2021/4, Cardiff University, Cardiff Business School, Economics Section.
• Fateh Belaïd & Christophe Rault, 2021. "Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach," CESifo Working Paper Series 8815, CESifo.
• Alexander, L. Brown & Taisuke Imai & Ferdinand M. Vieider & Colin Camerer, 2021. "Meta-Analysis of Empirical Estimates of Loss-Aversion," CESifo Working Paper Series 8848, CESifo.
• Svatopluk Kapounek & Evžen Kocenda & Zuzana Kucerová, 2021. "Selective Attention in Exchange Rate Forecasting," CESifo Working Paper Series 8901, CESifo.
• Christian Bayer & Benjamin Born & Ralph Luetticke, 2021. "The Liquidity Channel of Fiscal Policy," ifo Working Paper Series 351, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
• Meenagh, David & Minford, Patrick & Wickens, Michael R., 2021. "Estimating macro models and the potentially misleading nature of Bayesian estimation," CEPR Discussion Papers 15684, C.E.P.R. Discussion Papers.
• S. Borağan Aruoba & Marko Mlikota & Frank Schorfheide & Sergio Villalvazo, 2021. "SVARs With Occasionally-Binding Constraints," NBER Working Papers 28571, National Bureau of Economic Research, Inc.
  • Aruoba, Boragan & Mlikota, Marko & Schorfheide, Frank & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2020. "Measuring Uncertainty and Its Effects in the COVID-19 Era," Working Papers 202032, Federal Reserve Bank of Cleveland.
  • Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano & Mertens, Elmar, 2021. "Measuring Uncertainty and Its Effects in the COVID-19 Era," CEPR Discussion Papers 15965, C.E.P.R. Discussion Papers.
• Aggarwal, Ishant & Seiler, Stephan & Smith, Adam, 2021. "Optimal Price Targeting," CEPR Discussion Papers 16096, C.E.P.R. Discussion Papers.
• Gust, Christopher & Herbst, Edward & López-Salido, J David, 2021. "Short-term Planning, Monetary Policy, and Macroeconomic Persistence," CEPR Discussion Papers 16141, C.E.P.R. Discussion Papers.
• Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," Cowles Foundation Discussion Papers 2289, Cowles Foundation for Research in Economics, Yale University.
• Bobasu, Alina & Crucil, Luigi & Dieppe, Alistair & Tirpák, Marcel, 2021. "Pandemic-induced constraints and inflation in advanced economies," Economic Bulletin Boxes, European Central Bank, vol. 1.
• Attinasi, Maria Grazia & Bobasu, Alina & Gerinovics, Rinalds, 2021. "What is driving the recent surge in shipping costs?," Economic Bulletin Boxes, European Central Bank, vol. 3.
• Florian Huber & Gary Koop & Luca Onorante & Michael Pfarrhofer & Josef Schreiner, 2020. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Papers 2008.12706, arXiv.org, revised Dec 2020.
  • Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Working Paper Series 2510, European Central Bank.
  • Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Working Papers 2021-01, Joint Research Centre, European Commission (Ispra site).
• Manganelli, Simone, 2021. "Statistical decision functions with judgment," Working Paper Series 2512, European Central Bank.
• Dieppe, Alistair & Francis, Neville & Kindberg-Hanlon, Gene, 2021. "The identification of dominant macroeconomic drivers: coping with confounding shocks," Working Paper Series 2534, European Central Bank.
• Bobasu, Alina & Geis, André & Quaglietti, Lucia & Ricci, Martino, 2021. "Tracking global economic uncertainty: implications for the euro area," Working Paper Series 2541, European Central Bank.
• Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.
  • Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2021. "Economic predictions with big data: the illusion of sparsity," Working Paper Series 2542, European Central Bank.
  • Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic Predictions with Big Data: The Illusion of Sparsity," Liberty Street Economics 20180521, Federal Reserve Bank of New York.
  • Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic predictions with big data: the illusion of sparsity," Staff Reports 847, Federal Reserve Bank of New York.
• Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
• Sameh Asim Ajlouni & Moh'd Taleb Alodat, 2021. "Gaussian Process Regression for Forecasting Gasoline Prices in Jordan," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 502-509.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," Tinbergen Institute Discussion Papers 21-038/III, Tinbergen Institute.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," EIEF Working Papers Series 2108, Einaudi Institute for Economics and Finance (EIEF), revised May 2021.
• Raheem, Ibrahim & Ajide, Kazeem, 2020. "The journey towards dollarization: the role of the tourism industry," MPRA Paper 105505, University Library of Munich, Germany.
  • Ibrahim D. Raheem & Kazeem B. Ajide, 2021. "The Journey towards Dollarization: The Role of the Tourism Industry," Working Papers 21/008, European Xtramile Centre of African Studies (EXCAS).
  • Ibrahim D. Raheem & Kazeem B. Ajide, 2021. "The Journey towards Dollarization: The Role of the Tourism Industry," Working Papers of the African Governance and Development Institute. 21/008, African Governance and Development Institute..
• Michal Kuchta, 2021. "Scenario Generation for IFRS9 Purposes using a Bayesian MS-VAR Model," Working Papers IES 2021/10, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2021.
• Marcin Hitczenko, 2021. "Sample Bias Related to Household Role," FRB Atlanta Working Paper 2021-9, Federal Reserve Bank of Atlanta.
• Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 202108, Federal Reserve Bank of Cleveland.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2021. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Working Papers 21-02, Federal Reserve Bank of Philadelphia.
• Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Macroeconomic Forecasting and Variable Ordering in Multivariate Stochastic Volatility Models," Working Papers 21-21, Federal Reserve Bank of Philadelphia.
• Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2020. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 202040, University of Pretoria, Department of Economics.
  • Cepni, Oguzhan & Demirer, Riza & Gupta, Rangan & Sensoy, Ahmet, 2021. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 2-2021, Copenhagen Business School, Department of Economics.
• Bodnar, Olha & Bodnar, Taras, 2021. "Objective Bayesian meta-analysis based on generalized multivariate random effects model," Working Papers 2021:5, Örebro University, School of Business.
• Bodnar, Olha, 2021. "Bayesian Model Selection for Small Datasets of Measurement Results," Working Papers 2021:6, Örebro University, School of Business.
• Bodnar, Olha & Eriksson, Viktor, 2021. "Bayesian model selection: Application to adjustment of fundamental physical constants," Working Papers 2021:7, Örebro University, School of Business.
• Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
  • Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
• Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021. "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers 2021:9, Örebro University, School of Business.
• Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2021. "Predicting returns and dividend growth - the role of non-Gaussian innovations," Working Papers 2021:10, Örebro University, School of Business.
• Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2021. "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Discussion paper series HIAS-E-104, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
• Gregor Bäurle & Matthias Gubler & Diego R. Känzig, 2021. "International Inflation Spillovers: The Role of Different Shocks," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 191-230, March.
• Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2020. "The impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Papers 2012.14693, arXiv.org.
  • Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2021. "The Impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Working Papers 2021:03, Department of Economics, University of Venice "Ca' Foscari".
• Billio Monica & Casarin Roberto & Costola Michele & Iacopini Matteo, 2021. "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Papers 2101.00422, arXiv.org.
  • Monica Billio & Roberto Casarin & Michele Costola & Matteo Iacopini, 2021. "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Working Papers 2021:05, Department of Economics, University of Venice "Ca' Foscari".
• Ringwald, Leopold & Zörner, Thomas O., 2021. "The money-inflation nexus revisited," Department of Economics Working Paper Series 310, WU Vienna University of Economics and Business.
  • Leopold Ringwald & Thomas O. Zörner, 2021. "The money-inflation nexus revisited," Department of Economics Working Papers wuwp310, Vienna University of Economics and Business, Department of Economics.
• Leopold Ringwald & Thomas O. Zörner, 2021. "The money-inflation nexus revisited," Department of Economics Working Papers wuwp310, Vienna University of Economics and Business, Department of Economics.
  • Ringwald, Leopold & Zörner, Thomas O., 2021. "The money-inflation nexus revisited," Department of Economics Working Paper Series 310, WU Vienna University of Economics and Business.
• Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
  • Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2018. "Forecasting the production side of GDP," Working Papers 2018-16, Swiss National Bank.
• Miranda-Agrippino, Silvia & Ricco, Giovanni, 2021. "Bayesian Local Projections," The Warwick Economics Research Paper Series (TWERPS) 1348, University of Warwick, Department of Economics.
• Beutel, Johannes & Metiu, Norbert & Stockerl, Valentin, 2021. "Toothless tiger with claws? Financial stability communication, expectations, and risk-taking," Discussion Papers 05/2021, Deutsche Bundesbank.
• Ott, Ingrid & Savin, Ivan & Konop, Chris, 2021. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Kiel Working Papers 2180, Kiel Institute for the World Economy (IfW).
• Brünner, Tobias, 2021. "Estimation Procedure for "Price Formation in Call Auctions with Insider Information"," LEAF Working Paper Series 21-01, University of Lincoln, Lincoln International Business School, Lincoln Economics and Finance Research Group (LEAF).
• Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Monetary policy uncertainty and inflation expectations," Ruhr Economic Papers 899, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Fateh Belaid & Christophe Rault, 2020. "Energy Expenditure in Egypt: Empirical Evidence Based on A Quantile Regression Approach," Working Papers 1446, Economic Research Forum, revised 20 Dec 2020.
  • Belaïd, Fateh & Rault, Christophe, 2021. "Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach," IZA Discussion Papers 14011, Institute of Labor Economics (IZA).
  • Fateh Belaïd & Christophe Rault, 2021. "Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach," CESifo Working Paper Series 8815, CESifo.
• Rabia Özdemir & Münevver Turanlı, 2021. "Comparison of machine learning classification algorithms for purchasing forecast," JOURNAL OF LIFE ECONOMICS, Rating Academy, vol. 8(1), pages .59-68, January.
• Florian Huber & Gary Koop & Luca Onorante & Michael Pfarrhofer & Josef Schreiner, 2020. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Papers 2008.12706, arXiv.org, revised Dec 2020.
  • Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Working Papers 2021-01, Joint Research Centre, European Commission (Ispra site).
  • Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Working Paper Series 2510, European Central Bank.
• Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco, 2021. "Efficient and robust inference of models with occasionally binding constraints," Working Papers 2021-03, Joint Research Centre, European Commission (Ispra site).
• Barron, Kai, 2021. "Belief updating: does the 'good-news, bad-news' asymmetry extend to purely financial domains?," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 31-58.
  • Kai Barron, 2021. "Belief updating: does the ‘good-news, bad-news’ asymmetry extend to purely financial domains?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 31-58, March.
  • Barron, Kai, 2016. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309, WZB Berlin Social Science Center.
  • Barron, Kai, 2019. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309r, WZB Berlin Social Science Center.
  • Barron, Kai, 2019. "Belief Updating: Does the \'Good-News, Bad-News\' Asymmetry Extend to Purely Financial Domains?," Rationality and Competition Discussion Paper Series 170, CRC TRR 190 Rationality and Competition.
  • Barron, Kai, 2020. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309r2, WZB Berlin Social Science Center.
  • Barron, Kai, 2018. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," MPRA Paper 84742, University Library of Munich, Germany.
• A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
• Theis Ingerslev Jensen & Bryan T. Kelly & Lasse Heje Pedersen, 2021. "Is There A Replication Crisis In Finance?," NBER Working Papers 28432, National Bureau of Economic Research, Inc.
• Aruoba, Boragan & Mlikota, Marko & Schorfheide, Frank & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
  • S. Borağan Aruoba & Marko Mlikota & Frank Schorfheide & Sergio Villalvazo, 2021. "SVARs With Occasionally-Binding Constraints," NBER Working Papers 28571, National Bureau of Economic Research, Inc.
• Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," NBER Working Papers 28853, National Bureau of Economic Research, Inc.
• Merike Kukk & Natalia Levenko, 2021. "Alternative financing and the non-performing loans of the corporate sector in Estonia," Bank of Estonia Working Papers wp2029-6, Bank of Estonia, revised 08 Apr 2021.
• Seibert, Armin & Sirchenko, Andrei & Müller, Gernot, 2021. "A model for policy interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
  • Armin Seibert & Andrei Sirchenko & Gernot Muller, 2018. "A Model for Policy Interest Rates," HSE Working papers WP BRP 192/EC/2018, National Research University Higher School of Economics.
• Martínez-García, Enrique, 2021. "Get the lowdown: The international side of the fall in the U.S. natural rate of interest," Economic Modelling, Elsevier, vol. 100(C).
• Constantinescu, Mihnea & Nguyen, Anh Dinh Minh, 2021. "A century of gaps: Untangling business cycles from secular trends," Economic Modelling, Elsevier, vol. 100(C).
• Rezitis, Anthony N. & Rokopanos, Andreas & Tsionas, Mike G., 2021. "Investigating dynamic price co-movements in the international milk market using copulas: The role of trade agreements," Economic Modelling, Elsevier, vol. 95(C), pages 215-227.
• Sanchez González, Jim & Restrepo-Tobón, Diego & Ramírez Hassan, Andrés, 2021. "Inefficiency and bank failure: A joint Bayesian estimation method of stochastic frontier and hazards models," Economic Modelling, Elsevier, vol. 95(C), pages 344-360.
• Singh, Manish K. & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2021. "Quantifying sovereign risk in the euro area," Economic Modelling, Elsevier, vol. 95(C), pages 76-96.
• Bierut, Beata K. & Dybka, Piotr, 2021. "Increase versus transformation of exports through technological and institutional innovation: Evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 99(C).
• Tsionas, Mike G., 2021. "Comparison of stochastic frontier models using the Hyvärinen factor," Economics Letters, Elsevier, vol. 202(C).
• Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
  • Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Panel Forecasts of Country-Level Covid-19 Infections," NBER Working Papers 27248, National Bureau of Economic Research, Inc.
• Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
  • David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
• Hong, Han & Li, Huiyu & Li, Jessie, 2021. "BLP estimation using Laplace transformation and overlapping simulation draws," Journal of Econometrics, Elsevier, vol. 222(1), pages 56-72.
• Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
• Mogliani, Matteo & Simoni, Anna, 2021. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Journal of Econometrics, Elsevier, vol. 222(1), pages 833-860.
  • Matteo Mogliani & Anna Simoni, 2019. "Bayesian MIDAS Penalized Regressions: Estimation, Selection, and Prediction," Papers 1903.08025, arXiv.org, revised Jun 2020.
  • Matteo Mogliani & Anna Simoni, 2020. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Post-Print hal-03089878, HAL.
  • Matteo Mogliani, 2019. "Bayesian MIDAS penalized regressions: estimation, selection, and prediction," Working papers 713, Banque de France.
• Doğan, Osman & Taşpınar, Süleyman & Bera, Anil K., 2021. "A Bayesian robust chi-squared test for testing simple hypotheses," Journal of Econometrics, Elsevier, vol. 222(2), pages 933-958.
• Leung, Melvern & Li, Youwei & Pantelous, Athanasios A. & Vigne, Samuel A., 2021. "Bayesian Value-at-Risk backtesting: The case of annuity pricing," European Journal of Operational Research, Elsevier, vol. 293(2), pages 786-801.
  • Leung, Melvern & Li, Youwei & Pantelous, Athanasios & Vigne, Samuel, 2019. "Bayesian Value-at-Risk Backtesting: The Case of Annuity Pricing," MPRA Paper 101698, University Library of Munich, Germany.
• Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
• Knotek, Edward S. & Zaman, Saeed, 2021. "Asymmetric responses of consumer spending to energy prices: A threshold VAR approach," Energy Economics, Elsevier, vol. 95(C).
  • Edward S. Knotek & Saeed Zaman, 2020. "Asymmetric Responses of Consumer Spending to Energy Prices: A Threshold VAR Approach," Working Papers 202017, Federal Reserve Bank of Cleveland.
• Moratis, George, 2021. "Quantifying the spillover effect in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 38(C).
• Chon, Sora & Kim, Jaeho, 2021. "Does the Financial Leverage Effect Depend on Volatility Regimes?," Finance Research Letters, Elsevier, vol. 39(C).
• Çela, Eranda & Hafner, Stephan & Mestel, Roland & Pferschy, Ulrich, 2021. "Mean-variance portfolio optimization based on ordinal information," Journal of Banking & Finance, Elsevier, vol. 122(C).
• Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael, 2021. "The regional transmission of uncertainty shocks on income inequality in the United States," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 887-900.
  • Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael, 2019. "The regional transmission of uncertainty shocks on income inequality in the United States," Working Papers in Regional Science 2019/01, WU Vienna University of Economics and Business.
• Wang, Bin & Kwan, Yum K., 2021. "Measuring the natural rates of interest of OECD and BRICS economies: A time varying perspective," Journal of International Money and Finance, Elsevier, vol. 112(C).
• Zhang, Ren & Martínez-García, Enrique & Wynne, Mark A. & Grossman, Valerie, 2021. "Ties that bind: Estimating the natural rate of interest for small open economies," Journal of International Money and Finance, Elsevier, vol. 113(C).
  • Valerie Grossman & Enrique Martinez-Garcia & Mark A. Wynne & Ren Zhang, 2019. "Ties That Bind: Estimating the Natural Rate of Interest for Small Open Economies," Globalization Institute Working Papers 359, Federal Reserve Bank of Dallas, revised 05 Mar 2021.
• Waheed, Farah & Abdul Rashid,, 2021. "Credit frictions, fiscal imbalances, monetary policy autonomy, and monetary policy rules," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
• Nasir, Muhammad Ali, 2021. "Zero Lower Bound and negative interest rates: Choices for monetary policy in the UK," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 200-229.
• Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
  • Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Paper 2019/5, Norges Bank.
  • Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Papers No 03/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
• Han, Zhao, 2021. "Low-frequency fiscal uncertainty," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 639-657.
• Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
• Tsionas, Mike G., 2021. "Bayesian forecasting with the structural damped trend model," International Journal of Production Economics, Elsevier, vol. 234(C).
• Prüser, Jan & Schmidt, Torsten, 2021. "Regional composition of national house price cycles in the US," Regional Science and Urban Economics, Elsevier, vol. 87(C).
• Dai, Zhifeng & Zhu, Huan & Kang, Jie, 2021. "New technical indicators and stock returns predictability," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 127-142.
• Huang, Yu-Lieh & Kuan, Chung-Ming, 2021. "Economic prediction with the FOMC minutes: An application of text mining," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 751-761.
• Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2021. "The realized volatility of commodity futures: Interconnectedness and determinants#," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 139-151.
• Ciftci, Muhsin, 2021. "Uneven Consequences of Coronavirus Pandemic: Evidence from a Real Time Survey," MPRA Paper 107842, University Library of Munich, Germany.
• Rikhotso, Prayer & Bonga-Bonga, Lumengo, 2021. "Exchange rate misalignments and current accounts in BRICS countries," MPRA Paper 107973, University Library of Munich, Germany.
• Pérez Forero, Fernando, 2021. "Predicción de variables macroeconómicas en el Perú a través un modelo BVAR con media cambiante en el tiempo," Working Papers 2021-001, Banco Central de Reserva del Perú.
• Giacomo Bulfone & Roberto Casarin & Francesco Ravazzolo, 2021. "Corporate CDS spreads from the Eurozone crisis to COVID-19 pandemic: A Bayesian Markov switching model," Working Paper series 21-09, Rimini Centre for Economic Analysis.
• Poghosyan, Karen & Poghosyan, Ruben, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
• Kim, Seewon, 2021. "Evolution of China’s Economy and Monetary Policy: An Empirical Evaluation Using a TVP-VAR Model," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 25(1), pages 73-97, March.
• Shesadri Banerjee & Jayanthi K. Anand & Shashanka Bhide, 2021. "Estimation of Macro-financial Linkages for the Indian Economy," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 20(1), pages 7-47, April.
• William A. Barnett & Jingxian Hu, 2021. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Jasmina Arifovic (ed.), Dynamic Analysis in Complex Economic Environments, pages 123-175, Springer.
  • William Barnett & Jingxian Hu, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201706, University of Kansas, Department of Economics, revised Sep 2017.
  • Barnett, William A. & Hu, Jingxian, 2019. "Capital Control, Exchange Rate Regime, And Monetary Policy: Indeterminacy And Bifurcation," Studies in Applied Economics 139, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
  • William, Barnett & Hu, Jingxian, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," MPRA Paper 81450, University Library of Munich, Germany.
• Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
  • Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers 2001.09295, arXiv.org.
  • Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
  • Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," CIRANO Working Papers 2020s-08, CIRANO.
• William W. Chow & Michael K. Fung, 2021. "The effects of macroprudential policy on Hong Kong’s housing market: a multivariate ordered probit-augmented vector autoregressive approach," Empirical Economics, Springer, vol. 60(2), pages 633-660, February.
• Yifei Cai & Angeliki Menegaki, 2021. "FDI, growth and trade partisan conflict in the US: TVP-BVAR approach," Empirical Economics, Springer, vol. 60(3), pages 1335-1362, March.
• Andrés Ramírez–Hassan & Rosember Guerra–Urzola, 2021. "Bayesian treatment effects due to a subsidized health program: the case of preventive health care utilization in Medellín (Colombia)," Empirical Economics, Springer, vol. 60(3), pages 1477-1506, March.
• Yushu Li & Fredrik N. G. Andersson, 2021. "A simple wavelet-based test for serial correlation in panel data models," Empirical Economics, Springer, vol. 60(5), pages 2351-2363, May.
• Nils Bertschinger & Iurii Mozzhorin, 2021. "Bayesian estimation and likelihood-based comparison of agent-based volatility models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 173-210, January.
• Márcio P. Laurini & Pedro Chaim, 2021. "Brazilian stock market bubble in the 2010s," SN Business & Economics, Springer, vol. 1(1), pages 1-19, January.
• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Papers 2019_07, Business School - Economics, University of Glasgow.
  • Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
  • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
• Gulnihal Tuzun, 2021. "The Importance of External Shocks and Global Monetary Conditions for A Small-Open Economy," Working Papers 2109, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2020. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Working Paper series 20-27, Rimini Centre for Economic Analysis.
  • Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
• Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2021. "Bayes estimates of multimodal density features using DNA and Economic Data," Tinbergen Institute Discussion Papers 21-017/III, Tinbergen Institute.
• Stuart Donovan & Thomas de Graaff & Henri de Groot & Carl Koopmans, 2021. "Unravelling urban advantages - A meta-analysis of agglomeration economies," Tinbergen Institute Discussion Papers 21-026/VIII, Tinbergen Institute.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," EIEF Working Papers Series 2108, Einaudi Institute for Economics and Finance (EIEF), revised May 2021.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," Tinbergen Institute Discussion Papers 21-038/III, Tinbergen Institute.
• Michael Gilraine & Jiaying Gu & Robert McMillan, 2021. "A Nonparametric Method for Estimating Teacher Value-Added," Working Papers tecipa-689, University of Toronto, Department of Economics.

2020

• Zare Shahneh, Mohammad Mehdi & Nasrollahi , Zahra & Parsa, Hojat, 2020. "The impact of gender inequality on macroeconomic variables in the framework of a DSGE model," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 7(1), pages 29-60, May.
• Krzysztof DRACHAL, 2020. "Forecasting the Inflation Rate in Poland and U.S. Using Dynamic Model Averaging (DMA) and Google Queries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 18-34, July.
• Ghassen El Montasser & Rangan Gupta & Jooste Charl & Stephen M. Miller, 2020. "The Time-series Linkages between US Fiscal Policy and Asset Prices," Public Finance Review, , vol. 48(3), pages 303-339, May.
  • Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2015. "The Time-Series Linkages between US Fiscal Policy and Asset Prices," Working Papers 201519, University of Pretoria, Department of Economics.
  • Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2016. "The time-series linkages between US fiscal policy and asset prices," Working papers 2016-15, University of Connecticut, Department of Economics.
• Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
• Joonyoung Hur & Jong-Suk Han, 2020. "Effect of Monetary Policy on Government Spending Multiplier," Working Papers 2004, Research Institute for Market Economy, Sogang University.
• Nicolo Maffei Faccioli & Eugenia Vella, 2020. "The Asymmetric Unemployment Response of Natives and Foreigners to Migration Shocks," Working Papers 2020008, The University of Sheffield, Department of Economics.
• Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020. "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers 20.04, Swiss National Bank, Study Center Gerzensee.
  • Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020. "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers 2020-12, Swiss National Bank.
• Gürkan BOZMA & Sinan KUL, 2020. "Can Twitter Forecast Uncertainty of Stocks?," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
• Lei Shi, 2020. "Bayesian analysis of multivariate ordered probit model with individual heterogeneity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(4), pages 649-665, December.
• Yuheng Ling, 2020. "Time, space and hedonic prediction accuracy: evidence from Corsican apartment markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 367-388, April.
• Patrizia Berti & Emanuela Dreassi & Pietro Rigo, 2020. "A notion of conditional probability and some of its consequences," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 3-15, June.
• Frank Lad & Giuseppe Sanfilippo, 2020. "Predictive distributions that mimic frequencies over a restricted subdomain," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 17-41, June.
• Arianna Agosto & Paolo Giudici, 2020. "COVID-19 contagion and digital finance," Digital Finance, Springer, vol. 2(1), pages 159-167, September.
• Jaeho Kim & Sora Chon, 2020. "Why are Bayesian trend-cycle decompositions of US real GDP so different?," Empirical Economics, Springer, vol. 58(3), pages 1339-1354, March.
• Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
• Xuejun Jiang & Yunxian Li & Aijun Yang & Ruowei Zhou, 2020. "Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk," Empirical Economics, Springer, vol. 58(5), pages 2085-2103, May.
• Jan Prüser & Alexander Schlösser, 2020. "The effects of economic policy uncertainty on European economies: evidence from a TVP-FAVAR," Empirical Economics, Springer, vol. 58(6), pages 2889-2910, June.
• Yasutomo Murasawa, 2020. "Measuring public inflation perceptions and expectations in the UK," Empirical Economics, Springer, vol. 59(1), pages 315-344, July.
• Andrés Ramírez-Hassan, 2020. "Dynamic variable selection in dynamic logistic regression: an application to Internet subscription," Empirical Economics, Springer, vol. 59(2), pages 909-932, August.
• Andros Kourtellos & Alex Lenkoski & Kyriakos Petrou, 2020. "Measuring the strength of the theories of government size," Empirical Economics, Springer, vol. 59(5), pages 2185-2222, November.
• 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.
• Constantinos Kardaras & Johannes Ruf, 2020. "Filtration shrinkage, the structure of deflators, and failure of market completeness," Finance and Stochastics, Springer, vol. 24(4), pages 871-901, October.
• Maren Hein & Peter Kurz & Winfried J. Steiner, 2020. "Analyzing the capabilities of the HB logit model for choice-based conjoint analysis: a simulation study," Journal of Business Economics, Springer, vol. 90(1), pages 1-36, February.
• Edwin Fourrier-Nicolaï & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 91-111, March.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," Working Papers halshs-01494354, HAL.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," AMSE Working Papers 1710, Aix-Marseille School of Economics, France.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," Post-Print hal-02477216, HAL.
• Gan-Ochir Doojav & Kaliappa Kalirajan, 2020. "Financial Frictions and Shocks in an Estimated Small Open Economy DSGE Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(2), pages 253-291, June.
• Tamás Krisztin & Philipp Piribauer & Michael Wögerer, 2020. "The spatial econometrics of the coronavirus pandemic," Letters in Spatial and Resource Sciences, Springer, vol. 13(3), pages 209-218, December.
• Vivek Srikrishnan & Yawen Guan & Klaus Keller & Richard S.J. Tol, 2020. "Fossil fuel resources, decarbonization, and economic growth drive the feasibility of Paris climate targets," Working Paper Series 0620, Department of Economics, University of Sussex Business School.
• Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020. "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers 2020-12, Swiss National Bank.
  • Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020. "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers 20.04, Swiss National Bank, Study Center Gerzensee.
• Anne Musson & Damien Rousselière, 2020. "Exploring the effect of crisis on cooperatives: a Bayesian performance analysis of French craftsmen cooperatives," Applied Economics, Taylor & Francis Journals, vol. 52(25), pages 2657-2678, May.
  • Musson, Anne & Rousselière, Damien, 2018. "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers 279350, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
  • Anne, Musson & Damien, Rousselière, 2018. "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers SMART - LERECO 18-07, INRAE UMR SMART-LERECO.
  • Anne Musson & Damien Rousselière, 2018. "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers hal-01911612, HAL.
• Oğuzhan Çepni & Rangan Gupta & Mark E. Wohar, 2020. "The role of real estate uncertainty in predicting US home sales growth: evidence from a quantiles-based Bayesian model averaging approach," Applied Economics, Taylor & Francis Journals, vol. 52(5), pages 528-536, January.
  • Oguzhan Cepni & Rangan Gupta & Mark E. Wohar, 2019. "The Role of Real Estate Uncertainty in Predicting US Home Sales Growth: Evidence from a Quantiles-Based Bayesian Model Averaging Approach," Working Papers 201936, University of Pretoria, Department of Economics.
• Xingwei Hu, 2020. "A theory of dichotomous valuation with applications to variable selection," Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1075-1099, November.
  • Hu, Xingwei, 2017. "A Theory of Dichotomous Valuation with Applications to Variable Selection," MPRA Paper 80457, University Library of Munich, Germany.
• F. Di Iorio & M. Letizia Giorgetti, 2020. "Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 789-803, August.
  • Francesca Di Iorio & Maria Letizia Giorgietti, 2019. "Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector," DEM Working Papers Series 169, University of Pavia, Department of Economics and Management.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
• Joshua C. C. Chan, 2020. "Large Bayesian VARs: A Flexible Kronecker Error Covariance Structure," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 68-79, January.
  • Joshua C.C. Chan, 2015. "Large Bayesian VARs: A flexible Kronecker error covariance structure," CAMA Working Papers 2015-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
  • Minchul Shin & Molin Zhong, 2016. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Finance and Economics Discussion Series 2016-040, Board of Governors of the Federal Reserve System (U.S.).
• Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
  • Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Papers No 4/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Paper 2016/21, Norges Bank.
• Eduard Sariev & Guido Germano, 2020. "Bayesian regularized artificial neural networks for the estimation of the probability of default," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 311-328, February.
  • Sariev, Eduard & Germano, Guido, 2020. "Bayesian regularized artificial neural networks for the estimation of the probability of default," LSE Research Online Documents on Economics 101029, London School of Economics and Political Science, LSE Library.
• Zhang, Bo & Nguyen, Bao H., 2020. "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers 2020-12, University of Tasmania, Tasmanian School of Business and Economics.
• Tayyar Buyukbasaran & Cem Cebi & Erdal Yilmaz, 2020. "Interaction of monetary and fiscal policies in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(4), pages 193-203.
  • Tayyar Buyukbasaran & Cem Cebi & Erdal Yilmaz, 2019. "Interaction of Monetary and Fiscal Policies in Turkey," Working Papers 1935, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
• Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a nonlinear new Keynesian model with the zero lower bound for Japan," CAMA Working Papers 2018-37, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2020. "Estimating a Nonlinear New Keynesian Model with the Zero Lower Bound for Japan," Working Papers e154, Tokyo Center for Economic Research.
  • Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan," Working Papers e120, Tokyo Center for Economic Research.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with anapplication to WALS estimation," EIEF Working Papers Series 2003, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2020.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Tinbergen Institute Discussion Papers 20-015/III, Tinbergen Institute.
• Masako Ikefuji & Jan R. Magnus, 2020. "The perception of climate sensitivity: Revealing priors from posteriors," ISER Discussion Paper 1111, Institute of Social and Economic Research, Osaka University.
  • Masako Ikefuji & Jan R. Magnus, 2020. "The perception of climate sensitivity: Revealing priors from posteriors," Tinbergen Institute Discussion Papers 20-046/III, Tinbergen Institute.
• Anoek Castelein & Dennis Fok & Richard Paap, 2020. "Heterogeneous variable selection in nonlinear panel data models: A semiparametric Bayesian approach," Tinbergen Institute Discussion Papers 20-061/III, Tinbergen Institute.
• Monokroussos, George & Zhao, Yongchen, 2020. "Nowcasting in real time using popularity priors," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1173-1180.
  • Monokroussos, George, 2015. "Nowcasting in Real Time Using Popularity Priors," MPRA Paper 68594, University Library of Munich, Germany.
  • George Monokroussos & Yongchen Zhao, 2020. "Nowcasting in Real Time Using Popularity Priors," Working Papers 2020-01, Towson University, Department of Economics, revised Feb 2020.
• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Paper Series 2020-08, Federal Reserve Bank of San Francisco.
  • Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the information channel of monetary policy disappeared? Revisiting the empirical evidence," Economics Working Papers 1701, Department of Economics and Business, Universitat Pompeu Fabra.
  • Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Papers 1158, Barcelona Graduate School of Economics.
  • Hoesch, Lukas & Rossi, Barbara & Sekhposyan, Tatevik, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," CEPR Discussion Papers 14456, C.E.P.R. Discussion Papers.
• Alice Albonico & Guido Ascari & Qazi Haque, 2020. "The (ir)relevance of rule-of-thumb consumers for US business cycle fluctuations," CAMA Working Papers 2020-102, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Alice Albonico & Guido Ascari & Qazi Haque, 2020. "The (Ir)Relevance of Rule-of-Thumb Consumers for U.S. Business Cycle Fluctuations," Economics Discussion / Working Papers 20-26, The University of Western Australia, Department of Economics.
  • Alice Albonico & Guido Ascari & Qazi Haque, 2020. "The (Ir)Relevance of Rule-of-Thumb Consumers for U.S. Business Cycle Fluctuations," Working Papers 453, University of Milano-Bicocca, Department of Economics.
• Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
• Lee Changro & Park Keith Key-Ho, 2020. "Representing Uncertainty in Property Valuation Through a Bayesian Deep Learning Approach," Real Estate Management and Valuation, Sciendo, vol. 28(4), pages 15-23, December.
• David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020. "Bayesian assessment of Lorenz and stochastic dominance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 767-799, May.
  • David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian assessment of Lorenz and stochastic dominance," Monash Econometrics and Business Statistics Working Papers 15/17, Monash University, Department of Econometrics and Business Statistics.
  • David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
• Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Forecasting With Dynamic Panel Data Models," Econometrica, Econometric Society, vol. 88(1), pages 171-201, January.
  • Laura Liu & Hyungsik Moon & Frank Schorfheide, 2016. "Forecasting with Dynamic Panel Data Models," PIER Working Paper Archive 16-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 21 Dec 2016.
  • Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Forecasting with Dynamic Panel Data Models," Papers 1709.10193, arXiv.org.
  • Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Forecasting with Dynamic Panel Data Models," NBER Working Papers 25102, National Bureau of Economic Research, Inc.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Assessing international commonality in macroeconomic uncertainty and its effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 273-293, April.
  • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018. "Assessing International Commonality in Macroeconomic Uncertainty and Its Effects," Working Papers (Old Series) 1803, Federal Reserve Bank of Cleveland.
  • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2019. "Assessing International Commonality in Macroeconomic Uncertainty and Its Effects," Working Papers 201803R, Federal Reserve Bank of Cleveland.
  • Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2019. "Assessing International Commonality in Macroeconomic Uncertainty and Its Effects," CEPR Discussion Papers 13970, C.E.P.R. Discussion Papers.
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• Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
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  • Barron, Kai, 2019. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309r, WZB Berlin Social Science Center.
  • Barron, Kai, 2019. "Belief Updating: Does the \'Good-News, Bad-News\' Asymmetry Extend to Purely Financial Domains?," Rationality and Competition Discussion Paper Series 170, CRC TRR 190 Rationality and Competition.
  • Barron, Kai, 2020. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309r2, WZB Berlin Social Science Center.
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• Heinrich, Markus, 2020. "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints 219312, ZBW - Leibniz Information Centre for Economics.
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• Böhl, Gregor & Strobel, Felix, 2020. "US business cycle dynamics at the zero lower bound," IMFS Working Paper Series 143, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Farkas, Mátyás & Tatar, Balint, 2020. "Bayesian estimation of DSGE models with Hamiltonian Monte Carlo," IMFS Working Paper Series 144, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Ettmeier, Stephanie & Kriwoluzky, Alexander, 2019. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203609, Verein für Socialpolitik / German Economic Association.
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• Schlösser, Alexander, 2020. "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers 838, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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• Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
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• Claus Brand & Gavin Goy & Wolfgang Lemke, 2020. "Natural Rate Chimera and Bond Pricing Reality," DNB Working Papers 666, Netherlands Central Bank, Research Department.
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• Kai Barron, 2021. "Belief updating: does the ‘good-news, bad-news’ asymmetry extend to purely financial domains?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 31-58, March.
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  • Barron, Kai, 2019. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309r, WZB Berlin Social Science Center.
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• Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020. "Natural rate chimera and bond pricing reality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224546, Verein für Socialpolitik / German Economic Association.
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• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
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  • Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
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• Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Businesss School.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
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• Ruben Loaiza-Maya & Didier Nibbering, 2020. "Scalable Bayesian Estimation in the Multinomial Probit Model," Monash Econometrics and Business Statistics Working Papers 25/20, Monash University, Department of Econometrics and Business Statistics.
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• Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
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• Maheu, John M & McCurdy, Thomas H & Song, Yong, 2020. "Bull and Bear Markets During the COVID-19 Pandemic," MPRA Paper 104504, University Library of Munich, Germany.
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• Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2020. "The impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Papers 2012.14693, arXiv.org.
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• Roger Alejandro Banegas Rivero & Marco Alberto Nunez Ramirez & Yesenia Clark Mendivil, 2020. "Landlocked Countries, Institutions and Economic Dynamics," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(2), pages 160-188, February.
• Nurdaulet Abilov, 2020. "An Estimated Bayesian DSGE Model for Kazakhstan," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 8(1), pages 30-54, March.
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• Daniel Fehrle & Christopher Heiberger & Johannes Huber, 2020. "Polynomial chaos expansion: Efficient evaluation and estimation of computational models," Discussion Paper Series 341, Universitaet Augsburg, Institute for Economics.
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• Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2020. "Revisiting the fiscal theory of sovereign risk from a DSGE viewpoint," BCAM Working Papers 2001, Birkbeck Centre for Applied Macroeconomics.
• Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, Queen Mary University of London, School of Economics and Finance.
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• Alban Moura, 2020. "LED: An estimated DSGE model of the Luxembourg economy for policy analysis," BCL working papers 147, Central Bank of Luxembourg.
• Joshua Angrist & Peter Hull & Parag A. Pathak & Christopher R. Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," NBER Working Papers 28241, National Bureau of Economic Research, Inc.
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• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Paper Series 2020-08, Federal Reserve Bank of San Francisco.
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  • Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the information channel of monetary policy disappeared? Revisiting the empirical evidence," Economics Working Papers 1701, Department of Economics and Business, Universitat Pompeu Fabra.
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• Michael Creel, 2020. "Inference Using Simulated Neural Moments," Working Papers 1182, Barcelona Graduate School of Economics.
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• Sergey Seleznev & Natalia Turdyeva & Ramis Khabibullin & Anna Tsvetkova, 2020. "Seasonal adjustment of the Bank of Russia Payment System financial flows data," Bank of Russia Working Paper Series wps65, Bank of Russia.
• Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
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• Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," CESifo Working Paper Series 8788, CESifo.
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• Kanngiesser Derrick & Martin Reiner & Maurin Laurent & Moccero Diego, 2020. "The macroeconomic impact of shocks to bank capital buffers in the Euro Area," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-17, January.
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• Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
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  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
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• Zhou, W. & O’Neill, E. & Moncaster, A. & Reiner D. & Guthrie, P., 2020. "Forecasting Urban Residential Stock Turnover Dynamics using System Dynamics and Bayesian Model Averaging," Cambridge Working Papers in Economics 2054, Faculty of Economics, University of Cambridge.
• Tai-Hock Kuek & Chin-Hong Puah & M. Affendy Arip, 2020. "Financial Vulnerability and Economic Dynamics in Malaysia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 55-73.
• Rangan Gupta & Jun Ma & Konstantinos Theodoridis & Mark E. Wohar, 2020. "Is there a National Housing Market Bubble Brewing in the United States?," Working Papers 202023, University of Pretoria, Department of Economics.
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• Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "Shocks, Frictions, and Inequality in US Business Cycles," CESifo Working Paper Series 8085, CESifo.
• Gianluca Cafiso, 2020. "The Loan Puzzle. A Study of Loans to Different Groups in the USA," CESifo Working Paper Series 8175, CESifo.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," CESifo Working Paper Series 8282, CESifo.
• Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "The Liquidity Channel of Fiscal Policy," CESifo Working Paper Series 8374, CESifo.
• Gianluca Cafiso, 2020. "The Contribution of Loans to Economic Activity," CESifo Working Paper Series 8530, CESifo.
• Christoph K. Becker & Tigran Melkonyan & Eugenio Proto & Andis Sofianos & Stefan T. Trautmann, 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," CESifo Working Paper Series 8662, CESifo.
• Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," CESifo Working Paper Series 8788, CESifo.
• Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
• Christian Bayer & Ralph Luetticke, 2019. "Shocks, Frictions, and Inequality in US Business Cycles," 2019 Meeting Papers 256, Society for Economic Dynamics.
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• Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2020. "Robust Dynamic Panel Data Models Using e-Contamination," IZA Discussion Papers 13214, Institute of Labor Economics (IZA).
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• Beltempo, Marc & Bresson, Georges & Etienne, Jean-Michel & Lacroix, Guy, 2020. "Infections, Accidents and Nursing Overtime in a Neonatal Intensive Care Unit: A Bayesian Semiparametric Panel Data Logit Model," IZA Discussion Papers 13046, Institute of Labor Economics (IZA).
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• Nguyen Ngoc Thach, 2020. "The Variable Elasticity of Substitution Function and Endogenous Growth: An Empirical Evidence from Vietnam," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 263-277.
• Alexandros Pasiouras & Theodoros Daglis, 2020. "The Dollar Exchange Rates in the Covid-19 Era: Evidence from 5 Currencies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 352-361.
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  • Michael D. Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," NBER Working Papers 26826, National Bureau of Economic Research, Inc.
  • Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," Staff Reports 893, Federal Reserve Bank of New York.
  • Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," Liberty Street Economics 20190821, Federal Reserve Bank of New York.
• Giovanni Nicolo, 2020. "Monetary Policy, Self-Fulfilling Expectations and the U.S. Business Cycle," Finance and Economics Discussion Series 2020-035, Board of Governors of the Federal Reserve System (U.S.).
• Elena Afanasyeva, 2020. "Can Forecast Errors Predict Financial Crises? Exploring the Properties of a New Multivariate Credit Gap," Finance and Economics Discussion Series 2020-045, Board of Governors of the Federal Reserve System (U.S.).
• Scott A. Brave & R. Andrew Butters & Michael Fogarty, 2020. "Looking down the road with ALEX: Forecasting U.S. GDP," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 447, pages 1-5, October.
• Gianluca Benigno & Jan J. J. Groen, 2020. "Uncertainty about Trade Policy Uncertainty," Staff Reports 919, Federal Reserve Bank of New York.
• Christopher Otrok & Andrew Foerster & Alessandro Rebucci & Gianluca Benigno, 2017. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime Switching Approach," 2017 Meeting Papers 572, Society for Economic Dynamics.
  • Gianluca Benigno & Andrew T. Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," Staff Reports 944, Federal Reserve Bank of New York.
  • Benigno, Gianluca & Foerster, Andrew & Otrok, Christopher & Rebucci, Alessandro, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," CEPR Discussion Papers 14545, C.E.P.R. Discussion Papers.
  • Gianluca Benigno & Andrew Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," Working Paper Series 2020-10, Federal Reserve Bank of San Francisco.
  • Gianluca Benigno & Andrew Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," NBER Working Papers 26935, National Bureau of Economic Research, Inc.
• Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," PIER Working Paper Archive 20-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  • Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," Working Papers 20-26, Federal Reserve Bank of Philadelphia.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," CESifo Working Paper Series 8282, CESifo.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," Working Papers 2020_08, Business School - Economics, University of Glasgow.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," NBER Working Papers 27001, National Bureau of Economic Research, Inc.
  • Baumeister, Christiane & Korobilis, Dimitris & Lee, Thomas K., 2020. "Energy Markets and Global Economic Conditions," CEPR Discussion Papers 14580, C.E.P.R. Discussion Papers.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Businesss School.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
• Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
  • Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
• Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Paper series 20-09, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Papers 2020_21, Business School - Economics, University of Glasgow.
• Anastasia Dimiski, 2020. "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers 2004, University of Guelph, Department of Economics and Finance.
• Edwin Fourrier-Nicolaï & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 91-111, March.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," Working Papers halshs-01494354, HAL.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," Post-Print hal-02477216, HAL.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," AMSE Working Papers 1710, Aix-Marseille School of Economics, France.
• Jan Johannes & Anna Simoni & Rudolf Schenk, 2020. "Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models," Annals of Economics and Statistics, GENES, issue 137, pages 83-116.
  • Johannes, Jan & Simoni, Anna & Schenk, Rudolf, 2015. "Adaptive Bayesian estimation in indirect Gaussian sequence space models," LIDAM Discussion Papers ISBA 2015003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Dr. Prof. Johannes & Dr. Simoni & Dr. Schenk, 2020. "Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models," Post-Print hal-02903256, HAL.
• Mogliani, Matteo & Simoni, Anna, 2021. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Journal of Econometrics, Elsevier, vol. 222(1), pages 833-860.
  • Matteo Mogliani & Anna Simoni, 2019. "Bayesian MIDAS Penalized Regressions: Estimation, Selection, and Prediction," Papers 1903.08025, arXiv.org, revised Jun 2020.
  • Matteo Mogliani & Anna Simoni, 2020. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Post-Print hal-03089878, HAL.
  • Matteo Mogliani, 2019. "Bayesian MIDAS penalized regressions: estimation, selection, and prediction," Working papers 713, Banque de France.
• Edwin Fourrier-Nicolai & Michel Lubrano, 2020. "Bayesian Inference for Distributional Changes: The Effect of Western TV on Wage Inequality and Female Participation in Former East Germany," AMSE Working Papers 2027, Aix-Marseille School of Economics, France.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2020. "Bayesian Inference for Distributional Changes: The Effect of Western TV on Wage Inequality and Female Participation in Former East Germany," Working Papers halshs-02909932, HAL.
• Gardberg, Malin, 2020. "Aggregate Consumption and Wealth in the Long Run: The Impact of Financial Liberalization," Working Paper Series 1339, Research Institute of Industrial Economics.
• Lillestøl, Jostein, 2020. "Sampling risk evaluations in a tax fraud case: Some modelling issues," Discussion Papers 2020/5, Norwegian School of Economics, Department of Business and Management Science.
• Karlsson, Sune & Mazur, Stepan, 2020. "Flexible Fat-tailed Vector Autoregression," Working Papers 2020:5, Örebro University, School of Business.
• Corbo, Vesna & Strid, Ingvar, 2020. "MAJA: A two-region DSGE model for Sweden and its main trading partners," Working Paper Series 391, Sveriges Riksbank (Central Bank of Sweden).
• Morita, Hiroshi, 2020. "Fiscal multipliers in the most aged country: Empirical evidence and theoretical interpretation," Discussion paper series HIAS-E-100, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
• Jelena Rkman, 2020. "An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 22(2), pages 35-72, December.
• Brown, Alexander L. & Imai, Taisuke & Vieider, Ferdinand & Camerer, Colin, 2020. "Meta-Analysis of Empirical Estimates of Loss-Aversion," MetaArXiv hnefr, Center for Open Science.
  • Alexander, L. Brown & Taisuke Imai & Ferdinand M. Vieider & Colin Camerer, 2021. "Meta-Analysis of Empirical Estimates of Loss-Aversion," CESifo Working Paper Series 8848, CESifo.
• Kiyoyasu Tanaka & Yoshihiro Hashiguchi, 2020. "Agglomeration economies in the formal and informal sectors: a Bayesian spatial approach‡," Journal of Economic Geography, Oxford University Press, vol. 20(1), pages 37-66.
• Simon C Smith & George Bulkley & David S Leslie, 2020. "Equity Premium Forecasts with an Unknown Number of Structural Breaks [Tests for Parameter Instability and Structural Change with Unknown Change Point]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 59-94.
• Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2020. "State Dependence In Labor Market Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1027-1072, August.
  • Pizzinelli, Carlo & Theodoridis, Konstantinos & Zanetti, Francesco, 2020. "State Dependence in Labor Market Fluctuations," Cardiff Economics Working Papers E2020/2, Cardiff University, Cardiff Business School, Economics Section.
  • Francesco Zanetti & Carlo Pizzinelli & Konstantinos Theodoridis, 2020. "State Dependence in Labor Market Fluctuations," Economics Series Working Papers 902, University of Oxford, Department of Economics.
• Vargas-Sánchez, Jhon Jairo & Causado, Edwin & Mercado, Hugo, 2020. "Estimadores Bayesianos de distribuciones Weibull aplicados a un modelo de líneas de espera G/G/s || Bayesian estimators of Weibull distributions applied to a model of waiting lines G/G/s," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 30(1), pages 142-162, December.
• Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.
• Daniel Felix Ahelegbey & Emmanuel Senyo Fianu & Luigi Grossi, 2020. "Modeling Risk Contagion in the Italian Zonal Electricity Market," DEM Working Papers Series 182, 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.
• Daniel Felix Ahelegbey & Oyakhilome Wallace Ibhagui, 2020. "Interconnected Deviations from Covered Interest Parity," DEM Working Papers Series 191, University of Pavia, Department of Economics and Management.
• Daniel Felix Ahelegbey & Paolo Giudici, 2020. "NetVIX - A Network Volatility Index of Financial Markets," DEM Working Papers Series 192, University of Pavia, Department of Economics and Management.
• Daniel Felix Ahelegbey, 2020. "A Statistical Measure of Global Equity Market Risk," DEM Working Papers Series 194, 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.
• Jefferson Martínez & Gabriel Rodríguez, 2020. "Macroeconomic Effects of Loan Supply Shocks: Empirical Evidence for Peru," Documentos de Trabajo / Working Papers 2020-483, Departamento de Economía - Pontificia Universidad Católica del Perú.
• Jean Pierre Fernández Prada Saucedo & Gabriel Rodríguez, 2020. "Modeling the Volatility of Returns on Commodities: An Application and Empirical Comparison of GARCH and SV Models," Documentos de Trabajo / Working Papers 2020-484, Departamento de Economía - Pontificia Universidad Católica del Perú.
• Álvaro Jiménez & Gabriel Rodríguez, 2020. "Time-Varying Impact of Fiscal Shocks over GDP Growth in Peru: An Empirical Application using Hybrid TVP-VAR-SV Models," Documentos de Trabajo / Working Papers 2020-489, Departamento de Economía - Pontificia Universidad Católica del Perú.
• Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
  • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
• Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," Working Papers 20-26, Federal Reserve Bank of Philadelphia.
  • Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," PIER Working Paper Archive 20-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
• Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
  • Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
• Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
  • Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Businesss School.
• Aliaga Miranda, Augusto, 2020. "Reglas de política monetaria para una economía abierta con fricciones financieras
  [Monetary policy rules for an open economy with financial friction]," MPRA Paper 100545, University Library of Munich, Germany.
• Aliaga, Augusto, 2020. "Reglas de política monetaria para una economía abierta con fricciones financieras: Un enfoque Bayesiano [Monetary policy rules for an open economy with financial frictions: A Bayesian approach]," MPRA Paper 100604, University Library of Munich, Germany.
• Aknouche, Abdelhakim & Almohaimeed, Bader & Dimitrakopoulos, Stefanos, 2020. "Forecasting transaction counts with integer-valued GARCH models," MPRA Paper 101779, University Library of Munich, Germany, revised 11 Jul 2020.
• Jemio Hurtado, Valeria, 2020. "Monetary rules in an open economy with distortionary subsidies and inefficient shocks: A DSGE approach for Bolivia," MPRA Paper 102374, University Library of Munich, Germany, revised 14 Jul 2020.
• Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.
• John M. Maheu & Thomas H. McCurdy & Yong Song, 2020. "Bull and Bear Markets During the COVID-19 Pandemic," Papers 2012.01623, arXiv.org.
  • Maheu, John M & McCurdy, Thomas H & Song, Yong, 2020. "Bull and Bear Markets During the COVID-19 Pandemic," MPRA Paper 104504, University Library of Munich, Germany.
• Mansur, Alfan, 2020. "Shocks and Frictions in US Business Cycle: A Bayesian DSGE Approach," MPRA Paper 104546, University Library of Munich, Germany, revised 24 Oct 2020.
• Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2020. "On an integer-valued stochastic intensity model for time series of counts," MPRA Paper 105406, University Library of Munich, Germany.
• Fajar, Muhammad & Winarti, Yuyun Guna, 2020. "Modeling of Big Chili Supply Response Using Bayesian Method," MPRA Paper 106098, University Library of Munich, Germany, revised 21 Dec 2020.
• Adeniyi, Isaac Adeola & Yahya, Waheed Babatunde, 2020. "Bayesian Generalized Linear Mixed Effects Models Using Normal-Independent Distributions: Formulation and Applications," MPRA Paper 99165, University Library of Munich, Germany.
• Rivolta, Giulia & Trecroci, Carmine, 2020. "Measuring the effects of U.S. uncertainty and monetary conditions on EMEs' macroeconomic dynamics," MPRA Paper 99403, University Library of Munich, Germany.
• Gupta, Rangan & Ma, Jun & Theodoridis, Konstantinos & Wohar, Mark E, 2020. "Is there a National Housing Market Bubble Brewing in the United States?," Cardiff Economics Working Papers E2020/3, Cardiff University, Cardiff Business School, Economics Section.
  • Rangan Gupta & Jun Ma & Konstantinos Theodoridis & Mark E. Wohar, 2020. "Is there a National Housing Market Bubble Brewing in the United States?," Working Papers 202023, University of Pretoria, Department of Economics.
• Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2020. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 202040, University of Pretoria, Department of Economics.
  • Cepni, Oguzhan & Demirer, Riza & Gupta, Rangan & Sensoy, Ahmet, 2021. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 2-2021, Copenhagen Business School, Department of Economics.
• Xin Sheng & Rangan Gupta & Qiang Ji, 2020. "Forecasting Charge-Off Rates with a Panel Tobit Model: The Role of Uncertainty," Working Papers 202092, University of Pretoria, Department of Economics.
• Marek A. Dąbrowski & Łukasz Kwiatkowski & Justyna Wróblewska, 2020. "Sources of Real Exchange Rate Variability in Central and Eastern European Countries: Evidence from Structural Bayesian MSH-VAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(4), pages 369-412, December.
• Haroon Mumtaz, 2020. "A Generalised Stochastic Volatility in Mean VAR. An Updated Algorithm," Working Papers 908, Queen Mary University of London, School of Economics and Finance.
• Leonardo N. Ferreira, 2020. "Forward Guidance Matters: disentangling monetary policy shocks," Working Papers Series 530, Central Bank of Brazil, Research Department.
  • Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, Queen Mary University of London, School of Economics and Finance.
• Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020. "Monetary Policy and Macroeconomic Stability Revisited," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 255-274, July.
  • Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020. "Code and data files for "Monetary Policy and Macroeconomic Stability Revisited"," Computer Codes 19-271, Review of Economic Dynamics.
• Anttonen, Jetro & Lehmus, Markku & Vihriälä, Vesa, 2020. "Weak Economic Conditions and the Objective of the Government Programme," ETLA Brief 86, The Research Institute of the Finnish Economy.
• Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Papers 2020_21, Business School - Economics, University of Glasgow.
  • Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Paper series 20-09, Rimini Centre for Economic Analysis.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2020. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Working Paper series 20-27, Rimini Centre for Economic Analysis.
  • Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
• Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Feb 2020.
  • Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  • Laura Liu, 2018. "Density Forecasts in Panel Data Models : A Semiparametric Bayesian Perspective," Finance and Economics Discussion Series 2018-036, Board of Governors of the Federal Reserve System (U.S.).
• Xin Wei, 2020. "Dynamic Expectations Formation and U.S. Monetary Policy Regime Change," CAEPR Working Papers 2020-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
• Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
  • Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers 2001.09295, arXiv.org.
  • Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
  • Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," CIRANO Working Papers 2020s-08, CIRANO.
• Marc Beltempo & Georges Bresson & Jean-Michel Etienne & Guy Lacroix, 2020. "Infections, Accidents and Nursing Overtime in a Neonatal Intensive Care Unit: A Bayesian Semiparametric Panel Data Logit Model," CIRANO Working Papers 2020s-15, CIRANO.
  • Beltempo, Marc & Bresson, Georges & Etienne, Jean-Michel & Lacroix, Guy, 2020. "Infections, Accidents and Nursing Overtime in a Neonatal Intensive Care Unit: A Bayesian Semiparametric Panel Data Logit Model," IZA Discussion Papers 13046, Institute of Labor Economics (IZA).
• Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2020. "Robust Dynamic Panel Data Models Using ε-contamination," CIRANO Working Papers 2020s-07, CIRANO.
  • Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2020. "Robust Dynamic Panel Data Models Using e-Contamination," IZA Discussion Papers 13214, Institute of Labor Economics (IZA).
• Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2020. "Behavioral Welfare Economics and Risk Preferences: A Bayesian Approach," NBER Working Papers 27685, National Bureau of Economic Research, Inc.
  • Gao, Xiaoxue Sherry & Harrison, Glenn & Tchernis, Rusty, 2020. "Behavioral Welfare Economics and Risk Preferences: A Bayesian Approach," IZA Discussion Papers 13580, Institute of Labor Economics (IZA).
• Christoph K. Becker & Tigran Melkonyan & Eugenio Proto & Andis Sofianos & Stefan T. Trautmann, 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," CESifo Working Paper Series 8662, CESifo.
  • Becker, Christoph K. & Melkonyan, Tigran & Proto, Eugenio & Sofianos, Andis & Trautmann, Stefan T., 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," IZA Discussion Papers 13821, Institute of Labor Economics (IZA).
  • Becker, Christoph & Melkonyan, Tigran & Proto, Eugenio & Sofianos, Andis & Trautmann, Stefan, 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," CEPR Discussion Papers 15477, C.E.P.R. Discussion Papers.
• Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2020. "Is there a euro effect in the drivers of US FDI? New evidence using Bayesian Model Averaging techniques," Working Papers 2020/25, Economics Department, Universitat Jaume I, Castellón (Spain).
• Masahiro Tanaka, 2020. "Bayesian Inference of Local Projections with Roughness Penalty Priors," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 629-651, February.
• Sanha Noh, 2020. "Posterior Inference on Parameters in a Nonlinear DSGE Model via Gaussian-Based Filters," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 795-841, December.
• Nicolas Lampach & Arthur Dyevre, 2020. "Choosing for Europe: judicial incentives and legal integration in the European Union," European Journal of Law and Economics, Springer, vol. 50(1), pages 65-86, August.
• Narcissa Balta & Bořek Vašíček, 2020. "Financial channels and economic activity in the euro area: a large-scale Bayesian VAR approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 431-451, May.
• Omar Chafik, 2020. "The amplifier/divider mechanism of the financial cycle," International Economics and Economic Policy, Springer, vol. 17(2), pages 363-380, May.
• James Paul LeSage, 2020. "Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis–Hastings Monte Carlo log-marginal likelihoods," Journal of Geographical Systems, Springer, vol. 22(1), pages 47-75, January.
• Chun-kei Tsang & Sung-ko Li, 2020. "Allocation of resources within subgroups of an industry: a case study in the Chinese industrial sector," Journal of Productivity Analysis, Springer, vol. 53(1), pages 125-139, February.
• Tjeerd M. Boonman & Andrea E. Sanchez Urbina, 2020. "Extreme Bounds Analysis in Early Warning Systems for Currency Crises," Open Economies Review, Springer, vol. 31(2), pages 431-470, April.
• Max J. Pachali & Peter Kurz & Thomas Otter, 2020. "How to generalize from a hierarchical model?," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 343-380, December.
• Hyowon Kim & Dong Soo Kim & Greg M. Allenby, 2020. "Benefit Formation and Enhancement," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 419-468, December.
• Robin Braun & Ralf Brüggemann, 2020. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2020-01, Department of Economics, University of Konstanz.
• Florian Eckert & Philipp Kronenberg & Heiner Mikosch & Stefan Neuwirth, 2020. "Tracking Economic Activity With Alternative High-Frequency Data," KOF Working papers 20-488, KOF Swiss Economic Institute, ETH Zurich.
• Svatopluk Kapounek & Zuzana Kucerova & Evzen Kocenda, 2020. "Selective Attention in Exchange Rate Forecasting," Working Papers IES 2020/42, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2020.
  • Svatopluk Kapounek & Zuzana Kucerova & Evzen Kocenda, 2020. "Selective Attention in Exchange Rate Forecasting," KIER Working Papers 1035, Kyoto University, Institute of Economic Research.
  • Svatopluk Kapounek & Evžen Kocenda & Zuzana Kucerová, 2021. "Selective Attention in Exchange Rate Forecasting," CESifo Working Paper Series 8901, CESifo.
• Yuheng Ling & Claudio Detotto & Dominique Prunetti, 2020. "Spatio-Temporal Modeling of second homes dynamics in Corsica," Working Papers 014, Laboratoire Lieux, Identités, eSpaces et Activités (LISA).
• Jonas Gross & Johannes Zahner, 2020. "What's on the ECB's mind? - Monetary policy before and after the global financial crisis," MAGKS Papers on Economics 202008, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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  • Monokroussos, George, 2015. "Nowcasting in Real Time Using Popularity Priors," MPRA Paper 68594, University Library of Munich, Germany.
  • George Monokroussos & Yongchen Zhao, 2020. "Nowcasting in Real Time Using Popularity Priors," Working Papers 2020-01, Towson University, Department of Economics, revised Feb 2020.
• Zhang, Bo & Chan, Joshua C.C. & Cross, Jamie L., 2020. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1318-1328.
  • Bo Zhang & Joshua C.C. Chan & Jamie L. Cross, 2018. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," CAMA Working Papers 2018-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Du, Kai & Huddart, Steven & Xue, Lingzhou & Zhang, Yifan, 2020. "Using a hidden Markov model to measure earnings quality," Journal of Accounting and Economics, Elsevier, vol. 69(2).
• Dybowski, T. Philipp & Kempa, Bernd, 2020. "The European Central Bank’s monetary pillar after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 121(C).
• Casellina, Simone & Pandolfo, Giuseppe & Quagliariello, Mario, 2020. "Applying the Pre-Commitment Approach to bottom-up stress tests: A new old story," Journal of Economics and Business, Elsevier, vol. 112(C).
• Heinsalu, Sander, 2020. "Reversals of signal-posterior monotonicity imply a bias of screening," Journal of Economic Theory, Elsevier, vol. 188(C).
  • Sander Heinsalu, 2019. "Reversals of signal-posterior monotonicity imply a bias of screening," Papers 1910.03117, arXiv.org, revised Nov 2019.
• Kozak, Serhiy & Nagel, Stefan & Santosh, Shrihari, 2020. "Shrinking the cross-section," Journal of Financial Economics, Elsevier, vol. 135(2), pages 271-292.
  • Kozak, Serhiy & Nagel, Stefan & Santosh, Shrihari, 2017. "Shrinking the Cross Section," CEPR Discussion Papers 12463, C.E.P.R. Discussion Papers.
  • Serhiy Kozak & Stefan Nagel & Shrihari Santosh, 2017. "Shrinking the Cross Section," NBER Working Papers 24070, National Bureau of Economic Research, Inc.
• Schmidt, Jörg, 2020. "Risk, asset pricing and monetary policy transmission in Europe: Evidence from a threshold-VAR approach," Journal of International Money and Finance, Elsevier, vol. 109(C).
• Di Bartolomeo, Giovanni & Di Pietro, Marco & Beqiraj, Elton, 2020. "Price and wage inflation persistence across countries and monetary regimes," Journal of International Money and Finance, Elsevier, vol. 109(C).
• Richard Higgins, C., 2020. "Financial frictions and changing macroeconomic volatility," Journal of Macroeconomics, Elsevier, vol. 64(C).
• Burlon, Lorenzo & D’Imperio, Paolo, 2020. "Reliable real-time estimates of the euro-area output gap," Journal of Macroeconomics, Elsevier, vol. 64(C).
• Caraiani, Petre & Luik, Marc-André & Wesselbaum, Dennis, 2020. "Credit policy and asset price bubbles," Journal of Macroeconomics, Elsevier, vol. 65(C).
• Virbickaitė, Audronė & Frey, Christoph & Macedo, Demian N., 2020. "Bayesian sequential stock return prediction through copulas," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
• Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
• Agbeyegbe, Terence D., 2020. "Bayesian analysis of output gap in Barbados," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
• Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2020. "Identifying the sources of model misspecification," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 1-18.
  • Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2014. "Identifying the Sources of Model Misspecification," CEPR Discussion Papers 10140, C.E.P.R. Discussion Papers.
  • Atsushi Inoue & Chun-Huong Kuo & Barbara Rossi, 2015. "Identifying the Sources of Model Misspecification," Working Papers 821, Barcelona Graduate School of Economics.
  • Atsushi Inoue & Chun-Hung Kuo & Barbara Rossi, 2015. "Identifying the sources of model misspecification," Economics Working Papers 1479, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 2018.
• Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
• Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2020. "Global spillover effects of US uncertainty," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 71-89.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2017. "Global Spillover Effects of US Uncertainty," Discussion Papers 2017-17, School of Economics, The University of New South Wales.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2019. "Global Spillover Effects of US Uncertainty," Discussion Papers 2017-17a, School of Economics, The University of New South Wales.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2019. "Global Spillover Effects of US Uncertainty," Working Paper Series no107, Institute of Economic Research, Seoul National University.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2017. "Global Spillover Effects of US Uncertainty," Globalization Institute Working Papers 331, Federal Reserve Bank of Dallas.
• Atkinson, Tyler & Richter, Alexander W. & Throckmorton, Nathaniel A., 2020. "The zero lower bound and estimation accuracy," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 249-264.
  • Tyler Atkinson & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Estimation Accuracy," Working Papers 1804, Federal Reserve Bank of Dallas.
• Miyamoto, Wataru & Nguyen, Thuy Lan, 2020. "The expectational effects of news in business cycles: Evidence from forecast data," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 184-200.
• Azqueta-Gavaldón, Andrés, 2020. "Causal inference between cryptocurrency narratives and prices: Evidence from a complex dynamic ecosystem," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
• Bouri, Elie & Lucey, Brian & Roubaud, David, 2020. "Dynamics and determinants of spillovers across the option-implied volatilities of US equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 257-264.
• Bouri, Elie & Hussain Shahzad, Syed Jawad & Roubaud, David, 2020. "Cryptocurrencies as hedges and safe-havens for US equity sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 294-307.
• Rolheiser, Lyndsey & van Dijk, Dorinth & van de Minne, Alex, 2020. "Housing vintage and price dynamics," Regional Science and Urban Economics, Elsevier, vol. 84(C).
• Daziano, Ricardo A., 2020. "Flexible customer willingness to pay for bundled smart home energy products and services," Resource and Energy Economics, Elsevier, vol. 61(C).
• Xu, Xuecai & Huang, Dong & Guo, Fengjun, 2020. "Addressing spatial heterogeneity of injury severity using Bayesian multilevel ordered probit model," Research in Transportation Economics, Elsevier, vol. 80(C).
• Kim, Young Min & Lee, Seojin, 2020. "Exchange rate predictability: A variable selection perspective," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 117-134.
• Laurini, Márcio Poletti & Mauad, Roberto Baltieri & Aiube, Fernando Antônio Lucena, 2020. "The impact of co-jumps in the oil sector," Research in International Business and Finance, Elsevier, vol. 52(C).
• Shi, Yongjing & Tiwari, Aviral Kumar & Gozgor, Giray & Lu, Zhou, 2020. "Correlations among cryptocurrencies: Evidence from multivariate factor stochastic volatility model," Research in International Business and Finance, Elsevier, vol. 53(C).
• Wang, Gang-Jin & Ma, Xin-yu & Wu, Hao-yu, 2020. "Are stablecoins truly diversifiers, hedges, or safe havens against traditional cryptocurrencies as their name suggests?," Research in International Business and Finance, Elsevier, vol. 54(C).
• Lankhuizen, Maureen & Boonstra, Harm Jan & de Blois, Chris, 2020. "Unpacking freight – Identifying conditions driving regional freight transport in statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 415-435.
• Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
• Michler, Jeffrey D., 2020. "Agriculture in the process of development: A micro-perspective," World Development, Elsevier, vol. 129(C).
• Alice Albonico & Guido Ascari & Qazi Haque, 2020. "The (Ir)Relevance of Rule-of-Thumb Consumers for U.S. Business Cycle Fluctuations," Economics Discussion / Working Papers 20-26, The University of Western Australia, Department of Economics.
  • Alice Albonico & Guido Ascari & Qazi Haque, 2020. "The (ir)relevance of rule-of-thumb consumers for US business cycle fluctuations," CAMA Working Papers 2020-102, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Alice Albonico & Guido Ascari & Qazi Haque, 2020. "The (Ir)Relevance of Rule-of-Thumb Consumers for U.S. Business Cycle Fluctuations," Working Papers 453, University of Milano-Bicocca, Department of Economics.
• Joshua C.C. Chan & Xuewen Yu, 2020. "Fast and accurate variational inference for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2020-108, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Maximilian Bock & Martin Feldkircher & Pierre L. Siklos, 2020. "International effects of euro area forward guidance," CAMA Working Papers 2020-54, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Mengheng Li & Bowen Fu, 2020. "US shocks and the uncovered interest rate parity," CAMA Working Papers 2020-87, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Joshua C.C. Chan & Rodney W. Strachan, 2020. "Bayesian state space models in macroeconometrics," CAMA Working Papers 2020-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Bo Zhang & Bao H. Nguyen, 2020. "Real-time forecasting of the Australian macroeconomy using flexible Bayesian VARs," CAMA Working Papers 2020-91, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Na Guo & Bo Zhang & Jamie Cross, 2020. "Time-varying trend models for forecasting inflation in Australia," CAMA Working Papers 2020-99, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

2019

• Mariam Camarero & Laura Montolio & Cecilio Tamarit, 2019. "Determinants of German outward FDI: variable selection using Bayesian statistical," Working Papers 1906, Department of Applied Economics II, Universidad de Valencia.
• Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2019. "Searching The Us Fdi Determinants In The Eu: Is There A Euro Effect?," Working Papers 1916, Department of Applied Economics II, Universidad de Valencia.
• Kapetanios, George & Masolo, Riccardo M. & Petrova, Katerina & Waldron, Matthew, 2019. "A time-varying parameter structural model of the UK economy," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
  • Petrova, Katerina & Kapetanios, George & Masolo, Riccardo & Waldron, Matthew, 2017. "A time varying parameter structural model of the UK economy," Bank of England working papers 677, Bank of England.
• Yong, Chen & Dingming, Liu, 2019. "How does government spending news affect interest rates? Evidence from the United States," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
• Fasolo, Angelo Marsiglia, 2019. "Monetary policy volatility shocks in Brazil," Economic Modelling, Elsevier, vol. 81(C), pages 348-360.
  • Angelo Marsiglia Fasolo, 2018. "Monetary Policy Volatility Shocks in Brazil," Working Papers Series 480, Central Bank of Brazil, Research Department.
• Camarero, Mariam & Montolio, Laura & Tamarit, Cecilio, 2019. "What drives German foreign direct investment? New evidence using Bayesian statistical techniques," Economic Modelling, Elsevier, vol. 83(C), pages 326-345.
• Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
• Tetlow, Robert, 2019. "The monetary policy response to uncertain inflation persistence," Economics Letters, Elsevier, vol. 175(C), pages 5-8.
• Wang, Bin, 2019. "Measuring the natural rate of interest of China: A time varying perspective," Economics Letters, Elsevier, vol. 176(C), pages 117-120.
• Casarin, Roberto & Costola, Michele, 2019. "Structural changes in large economic datasets: A nonparametric homogeneity test," Economics Letters, Elsevier, vol. 176(C), pages 55-59.
• Cheng, Tingting & Gao, Jiti & Yan, Yayi, 2019. "Regime switching panel data models with interactive fixed effects," Economics Letters, Elsevier, vol. 177(C), pages 47-51.
  • Tingting Cheng & Jiti Gao & Yayi Yan, 2018. "Regime switching panel data models with interative fixed effects," Monash Econometrics and Business Statistics Working Papers 21/18, Monash University, Department of Econometrics and Business Statistics.
• Evgenidis, Anastasios & Salachas, Evangelos, 2019. "Unconventional monetary policy and the credit channel in the euro area," Economics Letters, Elsevier, vol. 185(C).
• Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.
• Fulop, Andras & Li, Junye, 2019. "Bayesian estimation of dynamic asset pricing models with informative observations," Journal of Econometrics, Elsevier, vol. 209(1), pages 114-138.
• Jarociński, Marek & Marcet, Albert, 2019. "Priors about observables in vector autoregressions," Journal of Econometrics, Elsevier, vol. 209(2), pages 238-255.
  • Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," UFAE and IAE Working Papers 929.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  • Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," Working Papers 684, Barcelona Graduate School of Economics.
• Kaufmann, Sylvia & Schumacher, Christian, 2019. "Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification," Journal of Econometrics, Elsevier, vol. 210(1), pages 116-134.
• Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 2016_09, Business School - Economics, University of Glasgow.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103R, Brandeis University, Department of Economics and International Businesss School, revised Apr 2016.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103, Brandeis University, Department of Economics and International Businesss School.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2017. "Bayesian Compressed Vector Autoregressions," Working Paper series 17-32, Rimini Centre for Economic Analysis.
• McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
• Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
• Fisher, Mark & Jensen, Mark J., 2019. "Bayesian inference and prediction of a multiple-change-point panel model with nonparametric priors," Journal of Econometrics, Elsevier, vol. 210(1), pages 187-202.
  • Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," Working Paper series 18-12, Rimini Centre for Economic Analysis.
  • Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
• Herbst, Edward & Schorfheide, Frank, 2019. "Tempered particle filtering," Journal of Econometrics, Elsevier, vol. 210(1), pages 26-44.
  • Edward Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," Finance and Economics Discussion Series 2016-072, Board of Governors of the Federal Reserve System (U.S.).
  • Edward Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," PIER Working Paper Archive 16-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Oct 2016.
  • Edward Herbst & Frank Schorfheide, 2017. "Tempered Particle Filtering," NBER Working Papers 23448, National Bureau of Economic Research, Inc.
• Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.
• Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.
• Bianchi, Daniele & Billio, Monica & Casarin, Roberto & Guidolin, Massimo, 2019. "Modeling systemic risk with Markov Switching Graphical SUR models," Journal of Econometrics, Elsevier, vol. 210(1), pages 58-74.
  • Daniele Bianchi & Monica Billio & Roberto Casarin & Massimo Guidolin, 2018. "Modeling Systemic Risk with Markov Switching Graphical SUR Models," Working Papers 626, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
• Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
• Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2019. "Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors," Journal of Econometrics, Elsevier, vol. 212(1), pages 137-154.
• Hautsch, Nikolaus & Voigt, Stefan, 2019. "Large-scale portfolio allocation under transaction costs and model uncertainty," Journal of Econometrics, Elsevier, vol. 212(1), pages 221-240.
  • Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
  • Nikolaus Hautsch & Stefan Voigt, 2017. "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty," Papers 1709.06296, arXiv.org, revised Jun 2018.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Adaptive hierarchical priors for high-dimensional vector autoregressions," Journal of Econometrics, Elsevier, vol. 212(1), pages 241-271.
  • Dimitris Korobilis & Davide Pettenuzzo, 2017. "Adaptive Hierarchical Priors for High-Dimensional Vector Autoregessions," Working Papers 115, Brandeis University, Department of Economics and International Businesss School.
  • Dimitris Korobilis & Davide Pettenuzzo, 2018. "Adaptive Hierarchical Priors for High-Dimensional Vector Autoregressions," Working Paper series 18-21, Rimini Centre for Economic Analysis.
• Petrova, Katerina, 2019. "A quasi-Bayesian local likelihood approach to time varying parameter VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 286-306.
• Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
• Pesaran, M. Hashem & Smith, Ron P., 2019. "A Bayesian analysis of linear regression models with highly collinear regressors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 1-21.
• Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
  • Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2018. "Financial and Fiscal Interaction in the Euro Area Crisis : This Time was Different," The Warwick Economics Research Paper Series (TWERPS) 1167, University of Warwick, Department of Economics.
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction int the euro area crisis : this time was different," Sciences Po publications 11, Sciences Po.
  • Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2018. "Financial and Fiscal Interaction in the Euro Area Crisis: This Time was Different," CEPR Discussion Papers 13016, C.E.P.R. Discussion Papers.
  • Albert Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis : this time was different," Documents de Travail de l'OFCE 2019-11, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," Sciences Po publications info:hdl:2441/4u5amfvji89, Sciences Po.
• Best, Gabriela & Hur, Joonyoung, 2019. "Bad luck, bad policy, and learning? A Markov-switching approach to understanding postwar U.S. macroeconomic dynamics," European Economic Review, Elsevier, vol. 119(C), pages 55-78.
• Yang, Qiao, 2019. "Stock returns and real growth: A Bayesian nonparametric approach," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 53-69.
• Müller, Gernot & Seibert, Armin, 2019. "Bayesian estimation of stable CARMA spot models for electricity prices," Energy Economics, Elsevier, vol. 78(C), pages 267-277.
• Chen, Liyuan & Zerilli, Paola & Baum, Christopher F., 2019. "Leverage effects and stochastic volatility in spot oil returns: A Bayesian approach with VaR and CVaR applications," Energy Economics, Elsevier, vol. 79(C), pages 111-129.
  • Liyuan Chen & Paola Zerilli & Christopher F Baum, 2018. "Leverage effects and stochastic volatility in spot oil returns: A Bayesian approach with VaR and CVaR applications," Boston College Working Papers in Economics 953, Boston College Department of Economics.
• Ghoddusi, Hamed & Creamer, Germán G. & Rafizadeh, Nima, 2019. "Machine learning in energy economics and finance: A review," Energy Economics, Elsevier, vol. 81(C), pages 709-727.
• Fontana, Magda & Iori, Martina & Nava, Consuelo Rubina, 2019. "Switching behavior in the Italian electricity retail market: Logistic and mixed effect Bayesian estimations of consumer choice," Energy Policy, Elsevier, vol. 129(C), pages 339-351.
• Zhang, Tong & Shi, Xunpeng & Zhang, Dayong & Xiao, Junji, 2019. "Socio-economic development and electricity access in developing economies: A long-run model averaging approach," Energy Policy, Elsevier, vol. 132(C), pages 223-231.
• Li, Zhuo & Panza, Laura & Song, Yong, 2019. "The evolution of ottoman–European market linkages, 1469–1914: Evidence from dynamic factor models," Explorations in Economic History, Elsevier, vol. 71(C), pages 112-134.
  • Li, Zhuo & Panza, Laura & Song, Yong, 2017. "The evolution of Ottoman-European market linkages, 1469-1914: evidence from dynamic factor models," MPRA Paper 80953, University Library of Munich, Germany.
• Skintzi, Vasiliki D., 2019. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 20-28.
  • Skintzi, Vasiliki, 2017. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," MPRA Paper 78278, University Library of Munich, Germany.
• Matkovskyy, Roman & Jalan, Akanksha, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Finance Research Letters, Elsevier, vol. 31(C), pages 93-97.
  • Roman Matkovskyy & Akanksha Jalan, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Post-Print hal-02131637, HAL.
• Bezemer, Dirk & Zhang, Lu, 2019. "Credit composition and the severity of post-crisis recessions," Journal of Financial Stability, Elsevier, vol. 42(C), pages 52-66.
• Kavaler, Itay & Smorodinsky, Rann, 2019. "On comparison of experts," Games and Economic Behavior, Elsevier, vol. 118(C), pages 94-109.
• Buncic, Daniel & Stern, Cord, 2019. "Forecast ranked tailored equity portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
  • Buncic, Daniel & Stern, Cord, 2018. "Forecast ranked tailored equity portfolios," MPRA Paper 90382, University Library of Munich, Germany.
• Frazier, David T. & Maneesoonthorn, Worapree & Martin, Gael M. & McCabe, Brendan P.M., 2019. "Approximate Bayesian forecasting," International Journal of Forecasting, Elsevier, vol. 35(2), pages 521-539.
  • David T. Frazier & Worapree Maneesoonthorn & Gael M. Martin & Brendan P.M. McCabe, 2018. "Approximate Bayesian forecasting," Monash Econometrics and Business Statistics Working Papers 2/18, Monash University, Department of Econometrics and Business Statistics.
• McAdam, Peter & Warne, Anders, 2019. "Euro area real-time density forecasting with financial or labor market frictions," International Journal of Forecasting, Elsevier, vol. 35(2), pages 580-600.
  • McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
• Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
  • Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
• Cai, Michael & Del Negro, Marco & Giannoni, Marc P. & Gupta, Abhi & Li, Pearl & Moszkowski, Erica, 2019. "DSGE forecasts of the lost recovery," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1770-1789.
  • Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
• Spruk, Rok & Kovac, Mitja, 2019. "Replicating and extending Martin-Quinn scores," International Review of Law and Economics, Elsevier, vol. 60(C).
• Wang, Yudong & Pan, Zhiyuan & Liu, Li & Wu, Chongfeng, 2019. "Oil price increases and the predictability of equity premium," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 43-58.
• Kang, Woo-Young & Poshakwale, Sunil, 2019. "A new approach to optimal capital allocation for RORAC maximization in banks," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 153-165.
• Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019. "Decomposing global yield curve co-movement," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.
  • Byrne, JP & Cao, S & Korobilis, D, 2016. "Decomposing Global Yield Curve Co-Movement," Essex Finance Centre Working Papers 18194, University of Essex, Essex Business School.
• Sapci, Ayse & Miles, Bradley, 2019. "Bank size, returns to scale, and cost efficiency," Journal of Economics and Business, Elsevier, vol. 105(C).
  • Sapci, Ayse & Miles, Bradley, 2017. "Bank Size, Returns to Scale and Cost Efficiency," Working Papers 2017-02, Department of Economics, Colgate University, revised 10 Mar 2017.
• Bergholt, Drago & Larsen, Vegard H. & Seneca, Martin, 2019. "Business cycles in an oil economy," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 283-303.
  • Drago Bergholt & Vegard H Larsen & Martin Seneca, 2017. "Business cycles in an oil economy," BIS Working Papers 618, Bank for International Settlements.
• Crespo Cuaresma, Jesus & von Schweinitz, Gregor & Wendt, Katharina, 2019. "On the empirics of reserve requirements and economic growth," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 253-274.
  • Crespo-Cuaresma, Jesus & Schweinitz, Gregor von & Wendt, Katharina, 2018. "On the empirics of reserve requirements and economic growth," IWH Discussion Papers 8/2018, Halle Institute for Economic Research (IWH).
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• Xin Jin & John M. Maheu & Qiao Yang, 2019. "Bayesian parametric and semiparametric factor models for large realized covariance matrices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 641-660, August.
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• Zeyyad Mandalinci & Haroon Mumtaz, 2019. "Global Economic Divergence and Portfolio Capital Flows to Emerging Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(6), pages 1713-1730, September.
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• Jin Seo Cho & Peter C. B. Phillips & Juwon Seo, 2019. "Parametric Inference on the Mean of Functional Data Applied to Lifetime Income Curves," Working papers 2019rwp-153, Yonsei University, Yonsei Economics Research Institute.
• Hauber, Philipp & Schumacher, Christian & Zhang, Jiachun, 2019. "A flexible state-space model with lagged states and lagged dependent variables: Simulation smoothing," Discussion Papers 15/2019, Deutsche Bundesbank.
• Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
• Adam, Marc C. & Jansson, Walter, 2019. "Credit constraints and the propagation of the Great Depression in Germany," Discussion Papers 2019/12, Free University Berlin, School of Business & Economics.
• Fuhrer, Adrian & Hock, Thorsten, 2019. "Uncertainty in the Black-Litterman model: A practical note," Weidener Diskussionspapiere 68, University of Applied Sciences Amberg-Weiden (OTH).
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• Ettmeier, Stephanie & Kriwoluzky, Alexander, 2019. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203609, Verein für Socialpolitik / German Economic Association.
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• Kai Barron, 2021. "Belief updating: does the ‘good-news, bad-news’ asymmetry extend to purely financial domains?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 31-58, March.
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• Barron, Kai & Huck, Steffen & Jehiel, Philippe, 2019. "Everyday econometricians: Selection neglect and overoptimism when learning from others," Discussion Papers, Research Unit: Economics of Change SP II 2019-301, WZB Berlin Social Science Center.
• Khan, Nida & Aslam, Muhammad, 2019. "Statistical Analysis of Location Parameter of Inverse Gaussian Distribution Under Noninformative Priors," Journal of Quantitative Methods, University of Management and Technology, Lahore, Pakistan, vol. 3(2), pages 62-76.
• Goldoost, Mohammad Jalal & Najafizadeh, Seyed Abbas & fakhrhosseini, Seyed Fakhreddin & Sarlak, Ahamad, 2019. "Resilience of macroeconomic variables of the Iranian economy against monetary policy shock based on the DSGE mode," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 6(2), pages 1-28, August.
• Mahmoodi, Elahe & Nasrollahi, Zahra & Yavari, Kazem, 2019. "The Effect of Housing Market Fluctuations on Macro economy: A DSGE Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 6(2), pages 249-278, August.
• Huber, Florian & Koop, Gary & Onorante, Luca, 2019. "Inducing sparsity and shrinkage in time-varying parameter models," Working Paper Series 2325, European Central Bank.
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• Pfarrhofer, Michael, 2019. "Measuring international uncertainty using global vector autoregressions with drifting parameters," Working Papers in Economics 2019-3, University of Salzburg.
• Li, Yong & Wang, Nianling & Yu, Jun, 2019. "Improved Marginal Likelihood Estimation via Power Posteriors and Importance Sampling," Economics and Statistics Working Papers 16-2019, Singapore Management University, School of Economics.
• van Hasselt, Martijn & Bollinger, Christopher & Bray, Jeremy, 2019. "A Bayesian Approach to Account for Misclassification in Prevalence and Trend Estimation," UNCG Economics Working Papers 19-13, University of North Carolina at Greensboro, Department of Economics.
• Jun Gao & Sheng Zhu, 2019. "A New Structural Analysis of Inflation and Economic Activity," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(1), pages 35-51, June.
• Beata Bierut & Piotr Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," NBP Working Papers 306, Narodowy Bank Polski, Economic Research Department.
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• Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2020. "Global spillover effects of US uncertainty," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 71-89.
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  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2019. "Global Spillover Effects of US Uncertainty," Working Paper Series no107, Institute of Economic Research, Seoul National University.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2019. "Global Spillover Effects of US Uncertainty," Discussion Papers 2017-17a, School of Economics, The University of New South Wales.
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• Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
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• Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
  • Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2018. "Financial and Fiscal Interaction in the Euro Area Crisis : This Time was Different," The Warwick Economics Research Paper Series (TWERPS) 1167, University of Warwick, Department of Economics.
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction int the euro area crisis : this time was different," Sciences Po publications 11, Sciences Po.
  • Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2018. "Financial and Fiscal Interaction in the Euro Area Crisis: This Time was Different," CEPR Discussion Papers 13016, C.E.P.R. Discussion Papers.
  • Albert Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis : this time was different," Documents de Travail de l'OFCE 2019-11, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," Sciences Po publications info:hdl:2441/4u5amfvji89, Sciences Po.
• James P. LeSage & Daniel Hendrikz, 2019. "Large Bayesian vector autoregressive forecasting for regions: A comparison of methods based on alternative disturbance structures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 563-599, June.
• Esko Penttinen & Merja Halme & Pekka Malo & Timo Saarinen & Ville-Matias Vilén, 2019. "Playing for fun or for profit: how extrinsically-motivated and intrinsically-motivated players make the choice between competing dual-purposed gaming platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 337-358, September.
• Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
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• Luca Grassetti & Laura Rizzi, 2019. "The determinants of individual health care expenditures in the Italian region of Friuli Venezia Giulia: evidence from a hierarchical spatial model estimation," Empirical Economics, Springer, vol. 56(3), pages 987-1009, March.
• Marko Melolinna & Máté Tóth, 2019. "Output gaps, inflation and financial cycles in the UK," Empirical Economics, Springer, vol. 56(3), pages 1039-1070, March.
• Gregor Bäurle & Rolf Scheufele, 2019. "Credit cycles and real activity: the Swiss case," Empirical Economics, Springer, vol. 56(6), pages 1939-1966, June.
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• Brent Meyer & Saeed Zaman, 2019. "The usefulness of the median CPI in Bayesian VARs used for macroeconomic forecasting and policy," Empirical Economics, Springer, vol. 57(2), pages 603-630, August.
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• Eleftherios Giovanis, 2019. "Worthy to lose some money for better air quality: applications of Bayesian networks on the causal effect of income and air pollution on life satisfaction in Switzerland," Empirical Economics, Springer, vol. 57(5), pages 1579-1611, November.
• Laia Maynou & Gabriel Coll-de-Tuero & Marc Saez, 2019. "The effects of copayment in primary health care: evidence from a natural experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1237-1248, November.
• Ioannis Skevas, 2019. "A Hierarchical Stochastic Frontier Model for Efficiency Measurement Under Technology Heterogeneity," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 513-524, September.
• Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 829-855, December.
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• Michael L. Polemis & Mike G. Tsionas, 2019. "Bayesian nonlinear panel cointegration: an empirical application to the EKC hypothesis," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 113-120, August.
• Laurent Maurin, 2019. "Weakness of investment in Portugal: what role do credit supply and fiscal consolidation shocks play?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 18(1), pages 19-45, February.
• Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
• Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
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• Paul Levine, 2019. "The State of DSGE Modelling," School of Economics Discussion Papers 0319, School of Economics, University of Surrey.
• Levine, P. & Pearlman, J. & Wright, S. & Yang, B., 2019. "Information, VARs and DSGE Models," Working Papers dp16/19, Department of Economics, City University London.
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• Rachida Ouysse, 2017. "Constrained principal components estimation of large approximate factor models," Discussion Papers 2017-12, School of Economics, The University of New South Wales.
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• Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2020. "Global spillover effects of US uncertainty," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 71-89.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2017. "Global Spillover Effects of US Uncertainty," Discussion Papers 2017-17, School of Economics, The University of New South Wales.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2019. "Global Spillover Effects of US Uncertainty," Discussion Papers 2017-17a, School of Economics, The University of New South Wales.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2019. "Global Spillover Effects of US Uncertainty," Working Paper Series no107, Institute of Economic Research, Seoul National University.
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• Eo, Yunjong & Kang, Kyu Ho, 2020. "The effects of conventional and unconventional monetary policy on forecasting the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
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• Arnaud Dufays & Jeroen V. K. Rombouts, 2019. "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 857-880, September.
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• 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.
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• Tingting Cheng & Jiti Gao & Xibin Zhang, 2019. "Bayesian Bandwidth Estimation in Nonparametric Time-Varying Coefficient Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 1-12, January.
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• Florian Huber & Martin Feldkircher, 2019. "Adaptive Shrinkage in Bayesian Vector Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 27-39, January.
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• Tayyar Buyukbasaran & Gokce Karasoy Can & Hande Kucuk, 2019. "Identifying Credit Supply Shocks in Turkey," Working Papers 1906, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
• Tayyar Buyukbasaran & Cem Cebi & Erdal Yilmaz, 2020. "Interaction of monetary and fiscal policies in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(4), pages 193-203.
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• Mahmut Sami Güngör & Bülent Güloğlu, 2019. "The Effects of Structural Shocks on Macroeconomic Fundamentals under Aggressive Monetary Policy: The Case of Turkey," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 12(2), pages 7-21, December.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2019. "Forecast density combinations with dynamic learning for large data sets in economics and finance," Working Paper 2019/7, Norges Bank.
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• Anoek Castelein & Dennis Fok & Richard Paap, 2019. "Dynamics in clickthrough and conversion probabilities of paid search advertisements," Tinbergen Institute Discussion Papers 19-056/III, Tinbergen Institute.
• Borowska, Agnieszka & Hoogerheide, Lennart & Koopman, Siem Jan & van Dijk, Herman K., 2020. "Partially censored posterior for robust and efficient risk evaluation," Journal of Econometrics, Elsevier, vol. 217(2), pages 335-355.
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• Martin Burda & Louis Belisle, 2019. "Copula Multivariate GARCH Model with Constrained Hamiltonian Monte Carlo," Working Papers tecipa-638, University of Toronto, Department of Economics.
• Audrone Virbickaite & Christoph Frey & Demian N. Macedo, 2019. "Sequential Stock Return Prediction Through Copulas," DEA Working Papers 91, Universitat de les Illes Balears, Departament d'Economía Aplicada.
• Paola Andrea Vaca González, 2019. "Cálculo y evaluación del riesgo operativo en entidades de salud a partir del enfoque de redes bayesianas," Ensayos de Economía 018302, Universidad Nacional de Colombia Sede Medellín.
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• Hsieh, Chih-Sheng & König, Michael & Liu, Xiaodong, 2019. "A Structural Model for the Coevolution of Networks and Behavior," CEPR Discussion Papers 13911, C.E.P.R. Discussion Papers.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Assessing international commonality in macroeconomic uncertainty and its effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 273-293, April.
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• Martin Bruns & Michele Piffer, 2018. "Bayesian Structural VAR models: a new approach for prior beliefs on impulse responses," Working Papers 878, Queen Mary University of London, School of Economics and Finance.
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• Dorinth van Dijk, 2019. "Local Constant-Quality Housing Market Liquidity Indices," DNB Working Papers 637, Netherlands Central Bank, Research Department.
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• Gianni Amisano & Oreste Tristani, 2019. "Uncertainty Shocks, Monetary Policy and Long-Term Interest Rates," Finance and Economics Discussion Series 2019-024, Board of Governors of the Federal Reserve System (U.S.).
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• Huber, Florian & Koop, Gary & Onorante, Luca, 2019. "Inducing Sparsity and Shrinkage in Time-Varying Parameter Models," Working Papers in Economics 2019-2, University of Salzburg.
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• García, Juan Angel & Poon, Aubrey, 2019. "Inflation trends in Asia: implications for central banks," Working Paper Series 2338, European Central Bank.
• Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
• Chin-Sheng Huang & Yi-Sheng Liu, 2019. "Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(2), pages 189-201.
• Chia-Cheng Chen & Yisheng Liu & Ting-Hsin Hsu, 2019. "An Analysis on Investment Performance of Machine Learning: An Empirical Examination on Taiwan Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 1-10.
• Gustavo Cabrera González, 2019. "Modeling and Projection of the Mexican Exchange Rate (Peso/Dollar): a Bayesian Approach for Model Selection," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 203-219, Abril-Jun.
• Miguel Antonio Alba Suárez & Wilmer Pineda-Ríos & Javier Deaza Chaves, 2019. "Análisis comparativo de las metodologías de estimación semiparamétricas y vía cópulas del Valor en Riesgo (VaR) en el mercado accionario colombiano," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 279-307, Abril-Jun.
• Beatriz Mota Aragón & José Antonio Núñez Mora, 2019. "Estimación de la distribución multivariada de los rendimientos de los tipos de cambio contra el dólar de las criptomonedas Bitcoin, Ripple y Ether," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(3), pages 447-457, Julio - S.
• Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," NBER Working Papers 26569, National Bureau of Economic Research, Inc.
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• Maria Chiara D’Errico, 2019. "Bayesian Estimation of the Photovoltaic Balance-of-System Learning Curve," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(1), pages 111-112, March.
• Natalia Khorunzhina & Jean-François Richard, 2019. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 991-1017, March.
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• Nima Nonejad, 2019. "Modeling Persistence and Parameter Instability in Historical Crude Oil Price Data Using a Gibbs Sampling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1687-1710, April.
• Enrique Martínez-García, 2019. "Good Policies or Good Luck? New Insights on Globalization and the International Monetary Policy Transmission Mechanism," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 419-454, June.
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• I. G. Ukpong & K. G. Balcombe & I. M. Fraser & F. J. Areal, 2019. "Preferences for Mitigation of the Negative Impacts of the Oil and Gas Industry in the Niger Delta Region of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 811-843, October.
• Markus Glatt & Roy Brouwer & Ivana Logar, 2019. "Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1533-1562, December.
• Marco Gross & Javier Población, 2019. "Implications of Model Uncertainty for Bank Stress Testing," Journal of Financial Services Research, Springer;Western Finance Association, vol. 55(1), pages 31-58, February.
• Matthew Quick, 2019. "Multiscale spatiotemporal patterns of crime: a Bayesian cross-classified multilevel modelling approach," Journal of Geographical Systems, Springer, vol. 21(3), pages 339-365, September.
• Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
• Altug, Sumru G. & Cakmakli, Cem & Demircan, Hamza, 2018. "Modeling of Economic and Financial Conditions for Nowcasting and Forecasting Recessions: A Unified Approach," CEPR Discussion Papers 13171, C.E.P.R. Discussion Papers.
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• Samad Sarferaz & Florian Eckert, 2019. "Agnostische Schätzung und Zerlegung von Produktionslücken," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 13(4), pages 27-36, December.
• Florian Eckert & Samad Sarferaz, 2019. "Agnostic Output Gap Estimation and Decomposition in Large Cross-Sections," KOF Working papers 19-467, KOF Swiss Economic Institute, ETH Zurich.
• Mirela Miescu, 2019. "Uncertainty shocks in emerging economies," Working Papers 277077821, Lancaster University Management School, Economics Department.
• Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian Inference in Large Vector Autoregressions with Hierarchical Shrinkage," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-07, Economic Statistics Centre of Excellence (ESCoE).
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• Yuheng Ling, 2019. "Time, space and hedonic prediction accuracy evidence from the Corsican apartment market," Working Papers 013, Laboratoire Lieux, Identités, eSpaces et Activités (LISA).
• Myroslav Pidkuyko & Raffaele Rossi & Klaus Reiner Schenk-Hoppé, 2019. "The Resolution of Long-Run Risk," The School of Economics Discussion Paper Series 1908, Economics, The University of Manchester.
• Joerg Schmidt, 2019. "Risk, Asset Pricing and Monetary Policy Transmission in Europe: Evidence from a Threshold-VAR approach," MAGKS Papers on Economics 201928, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Iván Kataryniuk & Jaime Martínez-Martín, 2019. "TFP Growth and Commodity Prices in Emerging Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(10), pages 2211-2229, August.
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• Nathaniel Tomasetti & Catherine Forbes & Anastasios Panagiotelis, 2019. "Updating Variational Bayes: Fast Sequential Posterior Inference," Monash Econometrics and Business Statistics Working Papers 13/19, Monash University, Department of Econometrics and Business Statistics.
• Didier Nibbering, 2019. "A High-dimensional Multinomial Choice Model," Monash Econometrics and Business Statistics Working Papers 19/19, Monash University, Department of Econometrics and Business Statistics.
• 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.
• Jan Przystupa, 2019. "Symmetric or asymmetric? Monetary policy and Polish economy reactions over the business cycle," Bank i Kredyt, Narodowy Bank Polski, vol. 50(4), pages 375-410.
• Beata K. Bierut & Piot Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," Working Papers 2019-043, Warsaw School of Economics, Collegium of Economic Analysis.
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• Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
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• Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," CESifo Working Paper Series 8015, CESifo.
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• L. E. Limonov & M. V. Nesena., 2019. "Evaluation of the impact of public investment programs on social and economic performance of territories," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 1.
• Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage," CAMA Working Papers 2019-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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• Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.
• Clara De Luigi & Florian Huber & Josef Schreiner, 2019. "The impact of labor cost growth on inflation in selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/19, pages 56-78.
• Mariolis Theodore & Konstantakis Konstantinos N. & Michaelides Panayotis G. & Tsionas Efthymios G., 2019. "A non-linear Keynesian Goodwin-type endogenous model of the cycle: Bayesian evidence for the USA," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(1), pages 1-16, February.
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• Eduard Sariev & Guido Germano, 2020. "Bayesian regularized artificial neural networks for the estimation of the probability of default," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 311-328, February.
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• Maynou, Laia & Coll-de-Tuero, Gabriel & Saez, Marc, 2019. "The effects of copayment in primary health care: evidence from a natural experiment," LSE Research Online Documents on Economics 101303, London School of Economics and Political Science, LSE Library.
• Md. Nazmul Ahsan & Jean-Marie Dufour, 2019. "A Simple Efficient Moment-based Estimator for the Stochastic Volatility Model," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, volume 40, pages 157-201, Emerald Publishing Ltd.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019. "How Sensitive Are VAR Forecasts to Prior Hyperparameters? An Automated Sensitivity Analysis," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, volume 40, pages 229-248, Emerald Publishing Ltd.
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• Theodore F. Figinski & Alicia Lloro & Phillip Li, 2019. "New Evidence on the Effect of Compulsory Schooling Laws," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, volume 40, pages 293-318, Emerald Publishing Ltd.
• Eri Nakamura & Takuya Urakami & Kazuhiko Kakamu, 2019. "A Bayesian Stochastic Frontier Model with Endogenous Regressors: An Application to the Effect of Division of Labor in Japanese Water Supply Organizations," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 29-46, Emerald Publishing Ltd.
• Justin L. Tobias & Joshua C. C. Chan, 2019. "An Alternate Parameterization for Bayesian Nonparametric/Semiparametric Regression," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 47-64, Emerald Publishing Ltd.
• Sydney Chikalipah, 2019. "Does a meaningful relationship exist between copper prices and economic growth in Zambia?," African Journal of Economic and Management Studies, Emerald Group Publishing, vol. 10(1), pages 72-84, March.
• Rolando Gonzales & Andrea Rojas-Hosse, 2019. "Inflation shocks and income inequality: An analysis with genetic algorithms and Bayesian quantile regressions," African Journal of Economic and Management Studies, Emerald Group Publishing, vol. 10(2), pages 226-240, June.
• Khee Giap Tan & Nguyen Trieu Duong Luu & Sangiita Yoong Wei Cher, 2019. "Understanding growth slowdown dynamics in India’s sub-national economies: An empirical investigation," International Journal of Social Economics, Emerald Group Publishing, vol. 46(3), pages 429-453, March.
• Tobias Brünner, 2019. "Price formation in call auctions with insider information," Studies in Economics and Finance, Emerald Group Publishing, vol. 36(3), pages 408-426, July.
• Wei Zhou & Eoghan O'Neill & Alice Moncaster & David M Reiner & Peter Guthrie, 2019. "Applying Bayesian Model Averaging to Characterise Urban Residential Stock Turnover Dynamics," Working Papers EPRG1933, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
• Jiri Witzany & Milan Ficura, 2019. "Sequential Gibbs Particle Filter Algorithm with Applications to Stochastic Volatility and Jumps Estimation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(5), pages 463-488, October.
• Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
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• Mark Fisher & Mark J. Jensen & Paula A. Tkac, 2019. "Bayesian Nonparametric Learning of How Skill Is Distributed across the Mutual Fund Industry," FRB Atlanta Working Paper 2019-3, Federal Reserve Bank of Atlanta.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Assessing international commonality in macroeconomic uncertainty and its effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 273-293, April.
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• Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020. "Monetary Policy and Macroeconomic Stability Revisited," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 255-274, July.
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• Mark Bognanni & John Zito, 2019. "Sequential Bayesian Inference for Vector Autoregressions with Stochastic Volatility," Working Papers 201929, Federal Reserve Bank of Cleveland.
• Zhang, Ren & Martínez-García, Enrique & Wynne, Mark A. & Grossman, Valerie, 2021. "Ties that bind: Estimating the natural rate of interest for small open economies," Journal of International Money and Finance, Elsevier, vol. 113(C).
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• Han Hong & Huiyu Li & Jessie Li, 2019. "BLP Estimation Using Laplace Transformation and Overlapping Simulation Draws," Working Paper Series 2019-24, Federal Reserve Bank of San Francisco.
• Amisano, Gianni & Tristani, Oreste, 2019. "Uncertainty shocks, monetary policy and long-term interest rates," Working Paper Series 2279, European Central Bank.
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• Padma Sharma, 2019. "Risk-Shifting, Regulation, and Government Assistance," Research Working Paper RWP 19-10, Federal Reserve Bank of Kansas City.
• Neville Francis & Michael T. Owyang & Daniel Soques, 2019. "Business Cycles Across Space and Time," Working Papers 2019-010, Federal Reserve Bank of St. Louis, revised 05 May 2021.
• Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," PIER Working Paper Archive 19-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
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• Siddhartha Chib & Minchul Shin & Anna Simoni, 2019. "Bayesian Estimation and Comparison of Conditional Moment Models," Working Papers 19-51, Federal Reserve Bank of Philadelphia.
• Christian Matthes & Felipe Schwartzman, 2019. "What Do Sectoral Dynamics Tell Us About the Origins of Business Cycles?," Working Paper 19-9, Federal Reserve Bank of Richmond.
• Elmar Mertens & Christian Matthes & Thomas Lubik, 2017. "Indeterminacy and Imperfect Information," 2017 Meeting Papers 337, Society for Economic Dynamics.
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• Marcin Błażejowski & Jacek Kwiatkowski & Jakub Gazda, 2019. "Sources of Economic Growth: A Global Perspective," Sustainability, MDPI, Open Access Journal, vol. 11(1), pages 1-14, January.
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• Jim Malley & Ulrich Woitek, 2019. "Estimated Human Capital Externalities in an Endogenous Growth Framework," Working Papers 2019-04, Business School - Economics, University of Glasgow.
• Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
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• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
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  • Chen, Xiaoshan & Leeper, Eric M. & Leith, Campbell, 2015. "US Monetary and Fiscal Policies - Conflict or Cooperation?," SIRE Discussion Papers 2015-77, Scottish Institute for Research in Economics (SIRE).
• Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 829-855, December.
  • Damien Rousselière, 2017. "A flexible approach to age dependence in organizational mortality. Comparing the life duration for cooperative and non-cooperative enterprises using a Bayesian Generalized Additive Discrete Time Survi," Working Papers SMART - LERECO 17-08, INRAE UMR SMART-LERECO.
  • Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Post-Print hal-02107866, HAL.
  • Rousselière, Damien, 2017. "A flexible approach to age dependence in organizational mortality. Comparing the life duration of cooperative and non-cooperative enterprises using a Bayesian Generalized Additive Discrete Time Surviv," Working Papers 264214, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
• Matkovskyy, Roman & Jalan, Akanksha, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Finance Research Letters, Elsevier, vol. 31(C), pages 93-97.
  • Roman Matkovskyy & Akanksha Jalan, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Post-Print hal-02131637, HAL.
• Jean-Pierre Florens & Anna Simoni, 2015. "Gaussian processes and Bayesian moment estimation," Working Papers 2015-09, Center for Research in Economics and Statistics.
  • Jean-Pierre Florens & Anna Simoni, 2019. "Gaussian Processes and Bayesian Moment Estimation," Post-Print hal-02903252, HAL.
• J.P. Florens & C. Gourieroux & A. Monfort, 2019. "Model Risk Management: Limits and Future of Bayesian Approaches," Annals of Economics and Statistics, GENES, issue 136, pages 1-26.
  • Jean-Pierre Florens & Christian Gouriéroux & Alain Monfort, 2019. "Model Risk Management: Limits and Future of Bayesian Approaches," Post-Print hal-02952910, HAL.
• Valentin Jouvanceau, 2019. "New Evidence on the Effects of Quantitative Easing," Working Papers 1912, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  • Valentin Jouvanceau, 2019. "New Evidence on the Effects of Quantitative Easing," Working Papers halshs-02073826, HAL.
• Edwin Fourrier-Nicolai & Michel Lubrano, 2019. "The Effect of Aspirations on Inequality: Evidence from the German Reunification using Bayesian Growth Incidence Curves," AMSE Working Papers 1914, Aix-Marseille School of Economics, France.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2019. "The Effect of Aspirations on Inequality: Evidence from the German Reunification using Bayesian Growth Incidence Curves," Working Papers halshs-02122371, HAL.
• Lundgren, Berndt & Schultzberg, Mårten, 2019. "Application of the economic theory of self-control to model energy conservation behavioral change in households," Working Paper Series 19/1, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
• Karlsson, Sune & Österholm, Pär, 2020. "The relation between the corporate bond-yield spread and the real economy: Stable or time-varying?," Economics Letters, Elsevier, vol. 186(C).
  • Karlsson, Sune & Österholm, Pär, 2019. "The Relation between the Corporate Bond-Yield Spread and the Real Economy: Stable or TimeVarying?," Working Papers 2019:7, Örebro University, School of Business.
• Ankargren, Sebastian & Shahnazarian, Hovick, 2019. "The Interaction Between Fiscal and Monetary Policies: Evidence from Sweden," Working Paper Series 365, Sveriges Riksbank (Central Bank of Sweden), revised 01 Apr 2019.
• 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).
• 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).
• Isabella Moder, 2019. "Spillovers from the ECB's Non-standard Monetary Policy Measures on Southeastern Europe," International Journal of Central Banking, International Journal of Central Banking, vol. 15(4), pages 127-163, October.
  • Moder, Isabella, 2017. "Spillovers from the ECB's non-standard monetary policy measures on south-eastern Europe," Working Paper Series 2095, European Central Bank.
• Francesco Zanetti & Konstantinos Theodoridis, 2018. "State Dependence in Labor Market Fluctuations: Evidence, Theory, and Policy Implications," Economics Series Working Papers 856, University of Oxford, Department of Economics.
  • Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2019. "State Dependence in Labor Market Fluctuations: Evidence, Theory, and Policy Implications," IMES Discussion Paper Series 19-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
  • Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2018. "State Dependence in Labor Market Fluctuations: Evidence,Theory, and Policy Implications," BCAM Working Papers 1801, Birkbeck Centre for Applied Macroeconomics.
  • Pizzinelli, Carlo & Theodoridis, Konstantinos & Zanetti, Francesco, 2018. "State dependence in labor market fluctuations: evidence, theory, and policy implications," LSE Research Online Documents on Economics 90380, London School of Economics and Political Science, LSE Library.
  • Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2018. "State Dependence in Labor Market Fluctuations: Evidence, Theory, and Policy Implications," Discussion Papers 1822, Centre for Macroeconomics (CFM).
• Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2019. "Identification of Financial Factors in Economic Fluctuations," Economic Journal, Royal Economic Society, vol. 129(617), pages 311-337.
  • Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2014. "Identification of financial factors in economic fluctuations," Working Paper 2014/09, Norges Bank.
  • Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2014. "Identification of financial factors in economic fluctuations," KOF Working papers 14-364, KOF Swiss Economic Institute, ETH Zurich.
• Konstantinos Metaxoglou & Davide Pettenuzzo & Aaron Smith, 2019. "Option-Implied Equity Premium Predictions via Entropic Tilting," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 17(4), pages 559-586.
  • Davide Pettenuzzo & Konstantinos Metaxoglou & Aaron Smith, 2016. "Option-Implied Equity Premium Predictions via Entropic TiltinG," Working Papers 99R, Brandeis University, Department of Economics and International Businesss School, revised Aug 2016.
  • Davide Pettenuzzo & Konstantinos Metaxoglou & Aaron Smith, 2016. "Option-Implied Equity Premium Predictions via Entropic TiltinG," Working Papers 99, Brandeis University, Department of Economics and International Businesss School.
• Dávila Aragón, Griselda & Ortiz Arango, Francisco, 2019. "Cálculo del Valor en Riesgo Operacional de una Empresa Aseguradora Mediante Redes Bayesianas || Calculation of Operational Value at Risk of an Insurance Company through Bayesian Networks," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 30-54, June.
• Luna-Ramirez, Susana & Agudelo, Diego A., 2019. "¿Agrega Valor el Modelo Black-Litterman en Portafolios del Mercado Integrado Latinoamericano (MILA)? Evaluación Empírica 2008-2016 || Does the Black-Litterman Model Add Value in Portfolios of the Inte," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 55-73, June.
• F. Di Iorio & M. Letizia Giorgetti, 2020. "Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 789-803, August.
  • Francesca Di Iorio & Maria Letizia Giorgietti, 2019. "Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector," DEM Working Papers Series 169, University of Pavia, Department of Economics and Management.
• Georgios Magkonis & Anastasia Theofilakou, 2019. "Transmission of sectoral debt shocks in OECD countries: Evidence from the income channel," Working Papers in Economics & Finance 2019-02, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
• Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019. "Umbral de modelos de volatilidad estocástica con colas pesadas: un enfoque bayesiano," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 32-53.
• Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," Liberty Street Economics 20190821, Federal Reserve Bank of New York.
  • Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," PIER Working Paper Archive 19-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  • Michael D. Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," NBER Working Papers 26826, National Bureau of Economic Research, Inc.
  • Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," Staff Reports 893, Federal Reserve Bank of New York.
  • Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," Finance and Economics Discussion Series 2020-023, Board of Governors of the Federal Reserve System (U.S.).
• Borooah, Vani, 2019. "Labour Market Risks," MPRA Paper 101672, University Library of Munich, Germany.
• Leung, Melvern & Li, Youwei & Pantelous, Athanasios A. & Vigne, Samuel A., 2021. "Bayesian Value-at-Risk backtesting: The case of annuity pricing," European Journal of Operational Research, Elsevier, vol. 293(2), pages 786-801.
  • Leung, Melvern & Li, Youwei & Pantelous, Athanasios & Vigne, Samuel, 2019. "Bayesian Value-at-Risk Backtesting: The Case of Annuity Pricing," MPRA Paper 101698, University Library of Munich, Germany.
• Marcin Błażejowski & Jacek Kwiatkowski & Jakub Gazda, 2019. "Sources of Economic Growth: A Global Perspective," Sustainability, MDPI, Open Access Journal, vol. 11(1), pages 1-14, January.
  • Błażejowski, Marcin & Kwiatkowski, Jacek & Gazda, Jakub, 2019. "Sources of Economic Growth: A Global Perspective," MPRA Paper 91322, University Library of Munich, Germany.
• Zervopoulos, Panagiotis & Emrouznejad, Ali & Sklavos, Sokratis, 2019. "A Bayesian approach for correcting bias of data envelopment analysis estimators," MPRA Paper 91886, University Library of Munich, Germany.
• Murasawa, Yasutomo, 2019. "Bayesian multivariate Beveridge--Nelson decomposition of I(1) and I(2) series with cointegration," MPRA Paper 91979, University Library of Munich, Germany.
• CHAFIK, Omar, 2019. "Monetary policy in oil exporting countries with fixed exchange rate and open capital account: expectations matter," MPRA Paper 92558, University Library of Munich, Germany.
• Asafo, Shuffield Seyram, 2019. "Exchange Rate Pass-through to Prices : Bayesian VAR Evidence for Ghana," MPRA Paper 92967, University Library of Munich, Germany.
• Dąbrowski, Marek A. & Wróblewska, Justyna, 2020. "Insulating property of the flexible exchange rate regime: A case of Central and Eastern European countries," International Economics, Elsevier, vol. 162(C), pages 34-49.
  • Dąbrowski, Marek A. & Wróblewska, Justyna, 2019. "Insulating property of the flexible exchange rate regime: A case of Central and Eastern European countries," MPRA Paper 93813, University Library of Munich, Germany.
• Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
  • Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
  • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Papers 2019_07, Business School - Economics, University of Glasgow.
• Pincheira, Pablo & Hardy, Nicolás, 2019. "Forecasting Aluminum Prices with Commodity Currencies," MPRA Paper 97005, University Library of Munich, Germany.
• Rios, Vicente, 2019. "New Evidence on the Size and Drivers of the Shadow Economy in Spain: A Model Averaging Approach," MPRA Paper 97504, University Library of Munich, Germany.
• Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2020. "Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior," European Journal of Operational Research, Elsevier, vol. 284(1), pages 313-324.
  • Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.
• DJINKPO, Medard, 2019. "A DSGE model for Fiscal Policy Analysis in The Gambia," MPRA Paper 97874, University Library of Munich, Germany, revised 30 Dec 2019.
• Oladunni, Sunday, 2019. "External Shocks and Business Cycle Fluctuations in Oil-exporting Small Open Economies: The Case of Nigeria," MPRA Paper 98639, University Library of Munich, Germany.
• Lusompa, Amaze, 2019. "Local Projections, Autocorrelation, and Efficiency," MPRA Paper 99856, University Library of Munich, Germany, revised 11 Apr 2020.
• Oğuzhan Çepni & Rangan Gupta & Mark E. Wohar, 2020. "The role of real estate uncertainty in predicting US home sales growth: evidence from a quantiles-based Bayesian model averaging approach," Applied Economics, Taylor & Francis Journals, vol. 52(5), pages 528-536, January.
  • Oguzhan Cepni & Rangan Gupta & Mark E. Wohar, 2019. "The Role of Real Estate Uncertainty in Predicting US Home Sales Growth: Evidence from a Quantiles-Based Bayesian Model Averaging Approach," Working Papers 201936, University of Pretoria, Department of Economics.
• Rangan Gupta & Xiaojin Sun, 2019. "Forecasting Economic Policy Uncertainty of BRIC Countries Using Bayesian VARs," Working Papers 201961, University of Pretoria, Department of Economics.
• Vilma Deltuvaitė & Svatopluk Kapounek & Petr Koráb, 2019. "Impact of Behavioural Attention on the Households Foreign Currency Savings as a Response to the External Macroeconomic Shocks," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(2), pages 155-177.
• Jakub Bechný, 2019. "Unemployment Hysteresis in the Czech Republic," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(5), pages 532-546.
• Zulfiqar Ali Wagan & Zhang Chen & Hakimzadi Wagan, 2019. "A Factor-Augmented Vector Autoregressive Approach to Analyze the Transmission of Monetary Policy," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(6), pages 709-728.
• Justyna Wróblewska & Anna Pajor, 2019. "One-period joint forecasts of Polish inflation, unemployment and interest rate using Bayesian VEC-MSF models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(1), pages 23-45, March.
• Duarte, Cláudia & Maria, José R. & Sazedj, Sharmin, 2020. "Trends and cycles under changing economic conditions," Economic Modelling, Elsevier, vol. 92(C), pages 126-146.
  • Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2019. "Trends and cycles under changing economic conditions," Working Papers w201918, Banco de Portugal, Economics and Research Department.
• Germano Ruisi, 2019. "Time-Varying Local Projections," Working Papers 891, Queen Mary University of London, School of Economics and Finance.
• Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
• Shayan Zakipour-Saber, 2019. "Markov-Switching Proxy BVARs," Working Papers 896, Queen Mary University of London, School of Economics and Finance.
• Gustavo Cabrera Gonzalez & Adrian De Leon Arias, 2019. "Modelacion Markoviana para identificar la dinamica y pronostico del indice de produccion industrial en Mexico de 1980 a 2018," EconoQuantum, Revista de Economia y Negocios, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 16(2), pages 23-41, Julio-Dic.
• Kai Barron, 2021. "Belief updating: does the ‘good-news, bad-news’ asymmetry extend to purely financial domains?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 31-58, March.
  • Barron, Kai, 2021. "Belief updating: does the 'good-news, bad-news' asymmetry extend to purely financial domains?," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 31-58.
  • Barron, Kai, 2016. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309, WZB Berlin Social Science Center.
  • Barron, Kai, 2019. "Belief Updating: Does the \'Good-News, Bad-News\' Asymmetry Extend to Purely Financial Domains?," Rationality and Competition Discussion Paper Series 170, CRC TRR 190 Rationality and Competition.
  • Barron, Kai, 2019. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309r, WZB Berlin Social Science Center.
  • Barron, Kai, 2020. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change SP II 2016-309r2, WZB Berlin Social Science Center.
  • Barron, Kai, 2018. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," MPRA Paper 84742, University Library of Munich, Germany.
• Francesco Furlanetto & Orjan Robstad, 2019. "Immigration and the macroeconomy: some new empirical evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 1-19, October.
  • Francesco Furlanetto & Orjan Robstad, 2019. "Online Appendix to "Immigration and the macroeconomy: some new empirical evidence"," Online Appendices 18-245, Review of Economic Dynamics.
• Aydan Dogan, 2019. "Investment Specific Technology Shocks and Emerging Market Business Cycle Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 202-220, October.
  • Aydan Dogan, 2019. "Online Appendix to "Investment Specific Technology Shocks and Emerging Market Business Cycle Dynamics"," Online Appendices 18-377, Review of Economic Dynamics.
• Francesco Furlanetto & Orjan Robstad, 2019. "Immigration and the macroeconomy: some new empirical evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 1-19, October.
  • Francesco Furlanetto & Orjan Robstad, 2019. "Code and data files for "Immigration and the macroeconomy: some new empirical evidence"," Computer Codes 18-245, Review of Economic Dynamics.
• Aydan Dogan, 2019. "Investment Specific Technology Shocks and Emerging Market Business Cycle Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 202-220, October.
  • Aydan Dogan, 2019. "Code and data files for "Investment Specific Technology Shocks and Emerging Market Business Cycle Dynamics"," Computer Codes 18-377, Review of Economic Dynamics.
• Francesco Furlanetto & Orjan Robstad, 2019. "Immigration and the macroeconomy: some new empirical evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 1-19, October.
  • Francesco Furlanetto & Ørjan Robstad, 2016. "Immigration and the macroeconomy: some new empirical evidence," Working Paper 2016/18, Norges Bank.
  • Francesco Furlanetto & Orjan Robstad, 2019. "Online Appendix to "Immigration and the macroeconomy: some new empirical evidence"," Online Appendices 18-245, Review of Economic Dynamics.
  • Francesco Furlanetto & Ørjan Robstad, 2017. "Immigration and the macroeconomy: some new empirical evidence," Working Papers 1716, Banco de España.
  • Francesco Furlanetto & Orjan Robstad, 2019. "Code and data files for "Immigration and the macroeconomy: some new empirical evidence"," Computer Codes 18-245, Review of Economic Dynamics.
• Christian Bayer & Ralph Luetticke, 2019. "Shocks, Frictions, and Inequality in US Business Cycles," 2019 Meeting Papers 256, Society for Economic Dynamics.
  • Bayer, Christian & Born, Benjamin & Luetticke, Ralph, 2020. "Shocks, Frictions, and Inequality in US Business Cycles," CEPR Discussion Papers 14364, C.E.P.R. Discussion Papers.
  • Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "Shocks, Frictions, and Inequality in US Business Cycles," Discussion Papers 2003, Centre for Macroeconomics (CFM).
  • Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "Shocks, Frictions, and Inequality in US Business Cycles," CESifo Working Paper Series 8085, CESifo.
• Melo, Luis F. & Loaiza, Rubén A. & Villamizar-Villegas, Mauricio, 2016. "Bayesian combination for inflation forecasts: The effects of a prior based on central banks’ estimates," Economic Systems, Elsevier, vol. 40(3), pages 387-397.
  • Luis F. Melo Velandia & Rubén A. Loaiza Maya & Mauricio Villamizar-Villegas, 2014. "Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates," BORRADORES DE ECONOMIA 012323, BANCO DE LA REPÚBLICA.
  • Melo-Velandia, Luis Fernando & Loaiza, Rubén & Villamizar-Villegas, Mauricio, 2019. "Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates," Working papers 8, Red Investigadores de Economía.
  • Luis F. Melo Velandia & Rubén A. Loaiza Maya & Mauricio Villamizar-Villegas, 2014. "Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates," Borradores de Economia 853, Banco de la Republica de Colombia.
• Juan José Echavarría & Iader Giraldo & Fernando Jaramillo, 2019. "Cadenas globales de valor, crecimiento y protección arancelaria en Colombia," Borradores de Economia 1080, Banco de la Republica de Colombia.
  • Echavarría, Juan José & Giraldo, Iader & Jaramillo, Fernando, 2019. "Cadenas globales de valor, crecimiento y protección arancelaria en Colombia," Working papers 9, Red Investigadores de Economía.
• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
  • Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
  • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
  • Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Papers 2019_07, Business School - Economics, University of Glasgow.
• Sen Gupta, Abhijit & Iyer, Tara, 2019. "Quarterly Forecasting Model for India’s Economic Growth: Bayesian Vector Autoregression Approach," ADB Economics Working Paper Series 573, Asian Development Bank.
• Chen, Hongyi & Cao, Shuo, 2019. "Exchange Rate Movements and Fundamentals: Impact of Oil Prices and the People’s Republic of China’s Growth," ADBI Working Papers 938, Asian Development Bank Institute.
• Aya, Achour, 2019. "Réserves de change et fonctionnement de l'économie marocaine: enseignements à partir d'un modèle DSGE," Document de travail 2019-4, Bank Al-Maghrib, Département de la Recherche.
• Hatipoglu, Fatma Busem & Uyar, Umut, 2019. "Examining the Dynamics of Macroeconomic Indicators and Banking Stock Returns with Bayesian Networks," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(4), pages 807-822, July.
• William A. Barnett & Jingxian Hu, 2021. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Jasmina Arifovic (ed.), Dynamic Analysis in Complex Economic Environments, pages 123-175, Springer.
  • William, Barnett & Hu, Jingxian, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," MPRA Paper 81450, University Library of Munich, Germany.
  • Barnett, William A. & Hu, Jingxian, 2019. "Capital Control, Exchange Rate Regime, And Monetary Policy: Indeterminacy And Bifurcation," Studies in Applied Economics 139, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
  • William Barnett & Jingxian Hu, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201706, University of Kansas, Department of Economics, revised Sep 2017.

2018

• Massimo Florio & Francesco Giffoni & Anna Giunta & Emanuela Sirtori, 2018. "Big science, learning, and innovation: evidence from CERN procurement," Industrial and Corporate Change, Oxford University Press, vol. 27(5), pages 915-936.
  • Anna Giunta & Massimo Florio & Francesco Giffoni & Emanuela Sirtori, 2017. "Big Science, Learning And Innovation: Evidence From Cern Procurement," Departmental Working Papers of Economics - University 'Roma Tre' 0225, Department of Economics - University Roma Tre.
• Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 16(1), pages 34-62.
  • Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Dissecting the 2007-2009 real estate market bust: systematic pricing correction or just a housing fad?," Working Paper 2013/22, Norges Bank.
  • Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2016. "Dissecting the 2007-2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Working Papers 567, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
• Francesco Bianchi & Cosmin L. Ilut & Martin Schneider, 2018. "Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle," Review of Economic Studies, Oxford University Press, vol. 85(2), pages 810-854.
  • Martin Schneider & Cosmin Ilut & Francesco Bianchi, 2013. "Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle," 2013 Meeting Papers 202, Society for Economic Dynamics.
  • Bianchi, Francesco & Ilut, Cosmin & Schneider, Martin, 2017. "Uncertainty shocks, asset supply and pricing over the business cycle," CEPR Discussion Papers 11950, C.E.P.R. Discussion Papers.
  • Francesco Bianchi & Cosmin L. Ilut & Martin Schneider, 2014. "Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle," NBER Working Papers 20081, National Bureau of Economic Research, Inc.
• Iftekhar Hasan & Roman Horvath & Jan Mares, 2018. "What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence," World Bank Economic Review, World Bank Group, vol. 32(2), pages 383-409.
  • Hasan, Iftekhar & Horvath, Roman & Mares, Jan, 2015. "What type of finance matters for growth? Bayesian model averaging evidence," Research Discussion Papers 17/2015, Bank of Finland.
  • Hasan,Iftekhar & Horvath,Roman & Mares,Jan, 2016. "What type of finance matters for growth ? Bayesian model averaging evidence," Policy Research Working Paper Series 7645, The World Bank.
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• Donald J. Lacombe & James P. LeSage, 2018. "Use and interpretation of spatial autoregressive probit models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 1-24, January.
• Kota Ogasawara & Shinichiro Shirota & Genya Kobayashi, 2018. "Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(1), pages 1-31, January.
• L. C. G. Rogers, 2018. "Sense, nonsense and the S&P500," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 447-461, November.
• Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
• Scott E. Atkinson & Mike G. Tsionas, 2018. "Shadow directional distance functions with bads: GMM estimation of optimal directions and efficiencies," Empirical Economics, Springer, vol. 54(1), pages 207-230, February.
• Wen-Hsien Liu & Shu-Shih Weng, 2018. "On predicting the semiconductor industry cycle: a Bayesian model averaging approach," Empirical Economics, Springer, vol. 54(2), pages 673-703, March.
• Kuo-Jung Lee & Yi-Chi Chen, 2018. "Of needles and haystacks: revisiting growth determinants by robust Bayesian variable selection," Empirical Economics, Springer, vol. 54(4), pages 1517-1547, June.
• James P. LeSage & R. Kelley Pace, 2018. "Spatial econometric Monte Carlo studies: raising the bar," Empirical Economics, Springer, vol. 55(1), pages 17-34, August.
• Aubrey Poon, 2018. "The transmission mechanism of Malaysian monetary policy: a time-varying vector autoregression approach," Empirical Economics, Springer, vol. 55(2), pages 417-444, September.
• Giulia Rivolta, 2018. "Potential ECB reaction functions with time-varying parameters: an assessment," Empirical Economics, Springer, vol. 55(4), pages 1425-1473, December.
• Lucia dalla Pellegrina & Margherita Saraceno & Mattia Suardi, 2018. "Migration policy: did an emergency provision displace standard rules? Evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 863-893, December.
• Philippe K. Widmer & Maria Trottmann & Peter Zweifel, 2018. "Choice of reserve capacity by hospitals: a problem for prospective payment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(5), pages 663-673, June.
• Fritz Breuss, 2018. "Would DSGE Models Have Predicted the Great Recession in Austria?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 105-126, April.
• Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
• Vugar Ahmadov & Salman Huseynov & Shaig Adigozalov & Fuad Mammadov & Vugar Rahimov, 2018. "Forecasting inflation in post-oil boom years: A case for regime switches?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(2), pages 369-385, April.
• Andrew T. Ching & Masakazu Ishihara, 2018. "Identification of Dynamic Models of Rewards Programme," The Japanese Economic Review, Japanese Economic Association, vol. 69(3), pages 306-323, September.
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• Carlos Cuerpo & Ángel Cuevas & Enrique M. Quilis, 2018. "Estimating output gap: a beauty contest approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(3), pages 275-304, August.
• Herculano, Miguel C., 2018. "The role of contagion in the transmission of financial stress," ESRB Working Paper Series 81, European Systemic Risk Board.
• Elie Bouri & Mahamitra Das & Rangan Gupta & David Roubaud, 2018. "Spillovers between Bitcoin and other assets during bear and bull markets," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5935-5949, November.
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• Joshua C. C. Chan, 2018. "Specification tests for time-varying parameter models with stochastic volatility," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 807-823, September.
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• Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2018. "Combined Density Nowcasting in an Uncertain Economic Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 131-145, January.
  • Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014. "Combined Density Nowcasting in an Uncertain Economic Environment," Tinbergen Institute Discussion Papers 14-152/III, Tinbergen Institute.
  • Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014. "Combined Density Nowcasting in an uncertain economic environment," Working Paper 2014/17, Norges Bank.
• Koskinen Hannu & Vilmunen Jouko, 2018. "Implications for Aggregate Inflation of Sectoral Asymmetries: An Empirical Implication," Working Papers 1818, Tampere University, School of Management and Business, Economics.
• Fethi Ogunc & Mustafa Utku Ozmen & Cagri Sarikaya, 2018. "Inflation Dynamics in Turkey from a Bayesian Perspective," Working Papers 1810, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
• Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a nonlinear new Keynesian model with the zero lower bound for Japan," CAMA Working Papers 2018-37, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan," Working Papers e120, Tokyo Center for Economic Research.
  • Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2020. "Estimating a Nonlinear New Keynesian Model with the Zero Lower Bound for Japan," Working Papers e154, Tokyo Center for Economic Research.
• Shuffield Seyram Asafo, 2018. "The Macro-economy and Non-Performing Loans in Ghana: A BVAR approach," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 11(3), pages 65-72, December.
• Asai, M. & McAleer, M.J., 2018. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Econometric Institute Research Papers 2018-005/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Manabu Asai & Michael McAleer, 2018. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Tinbergen Institute Discussion Papers 18-005/III, Tinbergen Institute.
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• Marta Banbura & Andries van Vlodrop, 2018. "Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean," Tinbergen Institute Discussion Papers 18-025/IV, Tinbergen Institute.
• Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Learning to Average Predictively over Good and Bad: Comment on: Using Stacking to Average Bayesian Predictive Distributions," Tinbergen Institute Discussion Papers 18-063/III, Tinbergen Institute.
• Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
• Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
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  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
• Martin Burda & Remi Daviet, 2018. "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers tecipa-618, University of Toronto, Department of Economics.
• Francesco Bianchi & Leonardo Melosi, 2018. "Constrained Discretion and Central Bank Transparency," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 187-202, March.
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  • Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
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  • Francesco Bianchi & Leonardo Melosi, 2013. "Constrained Discretion and Central Bank Transparency," Working Papers 13-13, Duke University, Department of Economics.
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• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018. "Measuring Uncertainty and Its Impact on the Economy," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
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• Juan Carlos Cuestas & Javier Ordóñez & Karsten Staehr, 2019. "Unit labour costs and the dynamics of output and unemployment in the southern European crisis countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(3), pages 597-616, August.
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• Audrone Virbickaite & Hedibert F. Lopes & Maria Concepción Ausín & Pedro Galeano, 2018. "Particle Learning for Bayesian Semi-Parametric Stochastic Volatility Model," DEA Working Papers 88, Universitat de les Illes Balears, Departament d'Economía Aplicada.
• Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.
• Asai, M. & McAleer, M.J., 2018. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Econometric Institute Research Papers 2018-005/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Manabu Asai & Michael McAleer, 2018. "Bayesian analysis of realized matrix-exponential GARCH models," Documentos de Trabajo del ICAE 2018-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Manabu Asai & Michael McAleer, 2018. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Tinbergen Institute Discussion Papers 18-005/III, Tinbergen Institute.
• Krzysztof Beck, 2018. "Determinants Of Intra-Industry Trade: An Investigation With Bma For The European Union," CBU International Conference Proceedings, ISE Research Institute, vol. 6(0), pages 46-52, September.
• Mike K. P. So & Wing Ki Liu & Amanda M. Y. Chu, 2018. "Bayesian Shrinkage Estimation Of Time-Varying Covariance Matrices In Financial Time Series," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 369-404, December.
• Tom Engsted, 2018. "Frekvensbaserede versus bayesianske metoder i empirisk økonomi," Economics Working Papers 2018-07, Department of Economics and Business Economics, Aarhus University.
• Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018. "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers 2018-32, Department of Economics and Business Economics, Aarhus University.
• Kota Ogasawara & Shinichiro Shirota & Genya Kobayashi, 2018. "Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 12(1), pages 1-31, January.
• Anne Musson & Damien Rousselière, 2020. "Exploring the effect of crisis on cooperatives: a Bayesian performance analysis of French craftsmen cooperatives," Applied Economics, Taylor & Francis Journals, vol. 52(25), pages 2657-2678, May.
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• Mike K. P. So & Wing Ki Liu & Amanda M. Y. Chu, 2018. "Bayesian Shrinkage Estimation Of Time-Varying Covariance Matrices In Financial Time Series," International Association of Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 369-404, December.
• Tareq Sadeq & Michel Lubrano, 2018. "The Wall’s Impact in the Occupied West Bank: A Bayesian Approach to Poverty Dynamics Using Repeated Cross-Sections," Econometrics, MDPI, Open Access Journal, vol. 6(2), pages 1-24, May.
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• Marcin Blazejowski & Jacek Kwiatkowski, 2018. "Bayesian Averaging of Classical Estimates (BACE) for gretl," gretl working papers 6, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
• Smith, Michael Stanley & Shively, Thomas S., 2018. "Econometric modeling of regional electricity spot prices in the Australian market," Energy Economics, Elsevier, vol. 74(C), pages 886-903.
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• Laura Liu, 2018. "Density Forecasts in Panel Data Models : A Semiparametric Bayesian Perspective," Finance and Economics Discussion Series 2018-036, Board of Governors of the Federal Reserve System (U.S.).
  • Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  • Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Feb 2020.
• Norets, Andriy & Pelenis, Justinas, 2018. "Adaptive Bayesian Estimation of Mixed Discrete-Continuous Distributions under Smoothness and Sparsity," Economics Series 342, Institute for Advanced Studies.
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• Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael, 2018. "The transmission of uncertainty shocks on income inequality: State-level evidence from the United States," Working Papers in Economics 2018-4, University of Salzburg, revised 10 Jan 2019.
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• 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.
  • 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.
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• Cheok Mui Yee & Edward Wong Sek Khin & Kamisah Ismail, 2018. "Determinants of employees’ psychological ownership on budgetary slack," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 16(149), pages 122-122, February.
• Francesco Zanetti & Konstantinos Theodoridis, 2018. "State Dependence in Labor Market Fluctuations: Evidence, Theory, and Policy Implications," Economics Series Working Papers 856, University of Oxford, Department of Economics.
  • Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2018. "State Dependence in Labor Market Fluctuations: Evidence,Theory, and Policy Implications," BCAM Working Papers 1801, Birkbeck Centre for Applied Macroeconomics.
  • Pizzinelli, Carlo & Theodoridis, Konstantinos & Zanetti, Francesco, 2018. "State dependence in labor market fluctuations: evidence, theory, and policy implications," LSE Research Online Documents on Economics 90380, London School of Economics and Political Science, LSE Library.
  • Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2019. "State Dependence in Labor Market Fluctuations: Evidence, Theory, and Policy Implications," IMES Discussion Paper Series 19-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
  • Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2018. "State Dependence in Labor Market Fluctuations: Evidence, Theory, and Policy Implications," Discussion Papers 1822, Centre for Macroeconomics (CFM).
• Luis Uzeda, 2016. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," ANU Working Papers in Economics and Econometrics 2016-632, Australian National University, College of Business and Economics, School of Economics.
  • Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
• Thibaut Duprey, 2018. "Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities," Staff Analytical Notes 2018-6, Bank of Canada.
• Fasolo, Angelo Marsiglia, 2019. "Monetary policy volatility shocks in Brazil," Economic Modelling, Elsevier, vol. 81(C), pages 348-360.
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• Linardi, Fernando & Diks, Cees & van der Leij, Marco & Lazier, Iuri, 2020. "Dynamic interbank network analysis using latent space models," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
  • Fernando Linardi & Cees (C.G.H.) Diks & Marco (M.J.) van der Leij & Iuri Lazier, 2017. "Dynamic Interbank Network Analysis Using Latent Space Models," Tinbergen Institute Discussion Papers 17-101/II, Tinbergen Institute.
  • Fernando Linardi & Cees Diks & Marco van der Leij & Iuri Lazier, 2018. "Dynamic Interbank Network Analysis Using Latent Space Models," Working Papers Series 487, Central Bank of Brazil, Research Department.
• Lorena Garegnani & Mauricio Gómez Aguirre, 2018. "Forecasting Inflation in Argentina," BCRA Working Paper Series 201879, Central Bank of Argentina, Economic Research Department.
• Ignacio Hernando & Irene Pablos & Daniel Santabárbara & Javier Vallés, 2018. "Private saving. New cross-country evidencebased on bayesian techniques," Working Papers 1802, Banco de España.
• Lorenzo Burlon & Alessandro Notarpietro & Massimiliano Pisani, 2018. "Exchange rate pass-through into euro area inflation. An estimated structural model," Temi di discussione (Economic working papers) 1192, Bank of Italy, Economic Research and International Relations Area.
• Eddie Gerba, 2018. "What is the Fiscal Stress in Euro Area? Evidence from a Joint Monetary-Fiscal Structural Model," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 21-47, April.
• Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República - ESPE, vol. 36(85), pages 48-64, November.
  • Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 48-64, April.
• Todd B. Walker, 2018. "Inflation Targeting in Emerging Economies," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República - ESPE, vol. 36(85), pages 7-20, November.
  • Todd B. Walker, 2018. "Inflation Targeting in Emerging Economies," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 7-20, April.
• Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
• José García-Montalvo & Omiros Papaspiliopoulos & Timothée Stumpf-Fétizon, 2018. "Bayesian Forecasting of Electoral Outcomes with new Parties' Competition," Working Papers 1065, Barcelona Graduate School of Economics.
• Elmar Mertens & James M. Nason, 2020. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, vol. 11(4), pages 1485-1520, November.
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• Michal Franta, 2018. "The Likelihood of Effective Lower Bound Events," Working Papers 2018/3, Czech National Bank.
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• Andrew T. Ching & Masakazu Ishihara, 2018. "Identification of Dynamic Models of Rewards Programme," The Japanese Economic Review, Springer, vol. 69(3), pages 306-323, September.
  • Andrew T. Ching & Masakazu Ishihara, 2018. "Identification of Dynamic Models of Rewards Programme," The Japanese Economic Review, Japanese Economic Association, vol. 69(3), pages 306-323, September.
• Angela Abbate & Massimiliano Marcellino, 2018. "Point, interval and density forecasts of exchange rates with time varying parameter models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 155-179, January.
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• Daniel O. Beltran & David Draper, 2018. "Estimating dynamic macroeconomic models: how informative are the data?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(2), pages 501-520, February.
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• Luciana Dalla Valle & Fabrizio Leisen & Luca Rossini, 2018. "Bayesian non‐parametric conditional copula estimation of twin data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(3), pages 523-548, April.
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• Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
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• Joshua C. C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2020. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 692-711, September.
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• Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan," Working Papers e120, Tokyo Center for Economic Research.
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• Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2018. "Reducing Dimensions in a Large TVP-VAR," Working Paper series 18-37, Rimini Centre for Economic Analysis.
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• Joshua C.C. Chan & Eric Eisenstat & Rodney W. Strachan, 2018. "Reducing dimensions in a large TVP-VAR," CAMA Working Papers 2018-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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• Joshua C. C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2020. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 692-711, September.
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  • Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite Likelihood Methods for Large Bayesian VARs with Stochastic Volatility," Working Paper Series 44, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
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• Arnoud Stevens & Joris Wauters, 2018. "Is euro area lowflation here to stay ? Insights from a time-varying parameter model with survey data," Working Paper Research 355, National Bank of Belgium.
• Jan De Loecker & Catherine Fuss & Johannes Van Biesebroeck, 2018. "Markup and price dynamics:linking micro to macro," Working Paper Research 357, National Bank of Belgium.
• Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
  • Baumeister, Christiane & Hamilton, James, 2018. "Inference in Structural Vector Autoregressions When the Identifying Assumptions are Not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CEPR Discussion Papers 12911, C.E.P.R. Discussion Papers.
  • Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions When the Identifying Assumptions are Not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," NBER Working Papers 24597, National Bureau of Economic Research, Inc.
  • Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
  • Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector auto regressions when the identifying assumptions are not fully believed : Re-evaluating the role of monetary policy in economic fluctuations," Research Discussion Papers 14/2018, Bank of Finland.
• Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Forecasting With Dynamic Panel Data Models," Econometrica, Econometric Society, vol. 88(1), pages 171-201, January.
  • Laura Liu & Hyungsik Moon & Frank Schorfheide, 2016. "Forecasting with Dynamic Panel Data Models," PIER Working Paper Archive 16-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 21 Dec 2016.
  • Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Forecasting with Dynamic Panel Data Models," NBER Working Papers 25102, National Bureau of Economic Research, Inc.
  • Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Forecasting with Dynamic Panel Data Models," Papers 1709.10193, arXiv.org.
• Francesco Bianchi & Howard Kung & Mikhail Tirskikh, 2018. "The Origins and Effects of Macroeconomic Uncertainty," NBER Working Papers 25386, National Bureau of Economic Research, Inc.
• Luis Daniel Torres Gonzalez & Jangho Yang, 2018. "The Persistent Statistical Structure of the US Input-Output Coefficient Matrices: 1963-2007," Working Papers 1804, New School for Social Research, Department of Economics.
• Patrick Mokre & Miriam Rehm, 2018. "Inter-Industry Wage Inequality: Persistent differences and turbulent equalization," Working Papers 1818, New School for Social Research, Department of Economics.
• Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," Working Paper series 18-38, Rimini Centre for Economic Analysis.
  • Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 18-12, National Graduate Institute for Policy Studies.
  • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • CHAN Joshua & DOUCET Arnaud & Roberto Leon-Gonzalez & STRACHAN Rodney W., 2020. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 20-09, National Graduate Institute for Policy Studies.
• Johnstone, David, 2018. "Accounting Theory as a Bayesian Discipline," Foundations and Trends(R) in Accounting, now publishers, vol. 13(1-2), pages 1-266, December.
• François Robin, 2018. "Use of Google Trends Data in Banque de France Monthly Retail Trade Surveys," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Études Économiques (INSEE), issue 505-506, pages 35-63.

2017

• Griselda Dávila-Aragón & Salvador Rivas-Aceves & Francisco Ortiz-Arango, 2017. "Operational Risk Measured by Bayesian Networks with a Poisson-Gamma Joint Distribution in a Financial Firm," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 12(4), pages 351-363, Octubre-D.
• Susanne Berger & Nathaniel Graham & Achim Zeileis, 2017. "Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R," Working Papers 2017-12, Faculty of Economics and Statistics, University of Innsbruck.
• Thomas Kneib & Nikolaus Umlauf, 2017. "A Primer on Bayesian Distributional Regression," Working Papers 2017-13, Faculty of Economics and Statistics, University of Innsbruck.
• Thorsten Simon & Peter Fabsic & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2017. "Probabilistic forecasting of thunderstorms in the Eastern Alps," Working Papers 2017-25, Faculty of Economics and Statistics, University of Innsbruck.
• Jinzhi Xiao & Chad E. Hart & Sergio H. Lence, 2017. "USDA Forecasts Of Crop Ending Stocks: How Well Have They Performed?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(2), pages 220-241.
  • Xiao, Jinzhi & Hart, Chad E. & Lence, Sergio H, 2017. "USDA Forecasts Of Crop Ending Stocks: How Well Have They Performed?," ISU General Staff Papers 201704070700001580, Iowa State University, Department of Economics.
• Sarah Brown & Pulak Ghosh & Bhuvanesh Pareek & Karl Taylor, 2017. "Financial Hardship and Saving Behaviour: Bayesian Analysis of British Panel Data," Working Papers 2017011, The University of Sheffield, Department of Economics.
  • Brown, Sarah & Ghosh, Pulak & Pareek, Bhuvanesh & Taylor, Karl, 2017. "Financial Hardship and Saving Behaviour: Bayesian Analysis of British Panel Data," IZA Discussion Papers 10910, Institute of Labor Economics (IZA).
• Piatek, Rémi & Gensowski, Miriam, 2017. "A Multinomial Probit Model with Latent Factors: Identification and Interpretation without a Measurement System," IZA Discussion Papers 11042, Institute of Labor Economics (IZA).
• James Raymer, 2017. "Measuring flows of international migration," IZA World of Labor, Institute of Labor Economics (IZA), pages 354-354, April.
• Kefei You, 2017. "What Drives Outward Fdi Of China? A Regional Analysis," Journal of Developing Areas, Tennessee State University, College of Business, vol. 51(2), pages 239-253, April-Jun.
• Tan Khee Giap & Luu Nguyen Trieu Duong & Lian Xiao, 2017. "Empirical Analysis of Growth Slowdown in Asean," Journal of Developing Areas, Tennessee State University, College of Business, vol. 51(3), pages 363-376, July-Sept.
• Tanaka, Kiyoyasu & Hashiguchi, Yoshihiro, 2017. "Agglomeration economies in the formal and informal sectors : a Bayesian spatial approach," IDE Discussion Papers 666, Institute of Developing Economies, Japan External Trade Organization(JETRO).
• Baştürk, Nalan & Grassi, Stefano & Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2017. "The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i01).
  • Baştürk, N. & Grassi, S. & Hoogerheide, L. & Opschoor, A. & van Dijk, H.K., 2015. "The R package MitISEM : efficient and robust simulation procedures for Bayesian inference," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
  • Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2017. "The R package MitISEM: Efficient and robust simulation procedures for Bayesian inference," Working Paper 2017/10, Norges Bank.
  • Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2015. "The R-package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference," Tinbergen Institute Discussion Papers 15-042/III, Tinbergen Institute, revised 04 Jul 2017.
• William A. Barnett & Jingxian Hu, 2021. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Jasmina Arifovic (ed.), Dynamic Analysis in Complex Economic Environments, pages 123-175, Springer.
  • William, Barnett & Hu, Jingxian, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," MPRA Paper 81450, University Library of Munich, Germany.
  • Barnett, William A. & Hu, Jingxian, 2019. "Capital Control, Exchange Rate Regime, And Monetary Policy: Indeterminacy And Bifurcation," Studies in Applied Economics 139, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
  • William Barnett & Jingxian Hu, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201706, University of Kansas, Department of Economics, revised Sep 2017.
• Aykut Ekinci & Halil İbrahim Erdal, 2017. "Forecasting Bank Failure: Base Learners, Ensembles and Hybrid Ensembles," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 677-686, April.
• Daniel Mantilla-García & Vijay Vaidyanathan, 2017. "Predicting stock returns in the presence of uncertain structural changes and sample noise," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(3), pages 357-391, August.
• Eleonora Patacchini & Edoardo Rainone, 2017. "Social Ties and the Demand for Financial Services," Journal of Financial Services Research, Springer;Western Finance Association, vol. 52(1), pages 35-88, October.
  • Eleonora Patacchini & Edoardo Rainone, 2017. "Social ties and the demand for financial services," Temi di discussione (Economic working papers) 1115, Bank of Italy, Economic Research and International Relations Area.
• Márcio Poletti Laurini, 2017. "A spatial error model with continuous random effects and an application to growth convergence," Journal of Geographical Systems, Springer, vol. 19(4), pages 371-398, October.
• Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
• Takahiro Hoshino & Ryosuke Igari, 2017. "Quasi-Bayesian Inference for Latent Variable Models with External Information: Application to generalized linear mixed models for biased data," Keio-IES Discussion Paper Series 2017-014, Institute for Economics Studies, Keio University.
• Ryosuke Igari & Takahiro Hoshino, 2017. "Bayesian Data Combination Approach for Repeated Durations under Unobserved Missing Indicators: Application to Interpurchase-Timing in Marketing," Keio-IES Discussion Paper Series 2017-015, Institute for Economics Studies, Keio University.
• Igari Ryosuke & Takahiro Hoshino, 2017. "Semiparametric Quasi-Bayesian Inference with Dirichlet Process Priors: Application to Nonignorable Missing Responses," Keio-IES Discussion Paper Series 2017-020, Institute for Economics Studies, Keio University.
• Robin Braun & Ralf Brüggemann, 2017. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2017-07, Department of Economics, University of Konstanz.
• Hiroyuki Watanabe, 2017. "A Pragmatic Method for Model-Selection Based on the Widely Applicable Bayesian Information Criterion," Discussion Paper Series DP2017-20, Research Institute for Economics & Business Administration, Kobe University.
• Go Kotera & Saisuke Sakai, 2017. "Complementarity between Merit Goods and Private Consumption: Evidence from estimated DSGE model for Japan," KIER Working Papers 978, Kyoto University, Institute of Economic Research.
• Alison F Smith & Peter Hall & Claire Hulme & Janet A Dunn & Christopher C McConkey & Joy K Rahman & Christopher McCabe & Hisham Mehanna, 2017. "Cost-effectiveness analysis of PET-CT guided management for locally advanced head and neck cancer," Working Papers 1702, Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds.
• Mihnea Constantinescu & Anh Dinh Minh Nguyen, 2017. "Unemployment or Credit: Who Holds The Potential? Results From a Small-Open Economy," Bank of Lithuania Discussion Paper Series 4, Bank of Lithuania.
• Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2018. "Robust linear static panel data models using ε-contamination," Journal of Econometrics, Elsevier, vol. 202(1), pages 108-123.
  • Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust Linear Static Panel Data Models Using ?-Contamination," IZA Discussion Papers 8661, Institute of Labor Economics (IZA).
  • Badi H. Baltagia & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust linear static panel data models using e-contamination," Cahiers de recherche 1706, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
  • Guy Lacroix & Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi, 2015. "Robust linear static panel data models using ε-contamination," CIRANO Working Papers 2015s-30, CIRANO.
  • Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
• Vincent Boucher, 2017. "The Estimation of Network Formation Games with Positive Spillovers," Cahiers de recherche 1710, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
• Roth T.M.S Vathana & Abdelkrim Araar & Bopharath Sry & PHANN Dalis, 2017. "The dynamics of microcredit borrowings in Cambodia," Working Papers PMMA 2017-17, PEP-PMMA.
• Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2018. "Robust linear static panel data models using ε-contamination," Journal of Econometrics, Elsevier, vol. 202(1), pages 108-123.
  • Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust Linear Static Panel Data Models Using ?-Contamination," IZA Discussion Papers 8661, Institute of Labor Economics (IZA).
  • Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
  • Badi H. Baltagia & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust linear static panel data models using e-contamination," Cahiers de recherche 1706, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
  • Guy Lacroix & Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi, 2015. "Robust linear static panel data models using ε-contamination," CIRANO Working Papers 2015s-30, CIRANO.
• Alice, Albonico & Roberta, Cardani & Patrizio, Tirelli, 2017. "Debunking the Myth of Southern Profligacy. A DSGE Analysis of Business Cycles in the EMU’s Big Four," Working Papers 373, University of Milano-Bicocca, Department of Economics, revised Jan 2018.
• Francesca DI IORIO & Maria Letizia GIORGETTI, 2017. "Entry and Patents: Evidence from the US Cardiovascular Pharmaceutical Sector," Departmental Working Papers 2017-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
• David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020. "Bayesian assessment of Lorenz and stochastic dominance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 767-799, May.
  • David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian assessment of Lorenz and stochastic dominance," Monash Econometrics and Business Statistics Working Papers 15/17, Monash University, Department of Econometrics and Business Statistics.
  • David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
• David Gunawan & William Griffths & Duangkamon Chotikapanich, 2017. "Bayesian Inference for Health Inequality and Welfare Using Qualitative Data "Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring wi," Department of Economics - Working Papers Series 2031, The University of Melbourne.
• Rudra P. Pradhan, Mak B. Arvin, & Mahendhiran Nair, Jay Mittal, & Neville R. Norman, 2017. "Telecommunications infrastructure and usage and the FDI–growth nexus: evidence from Asian-21 countries "Abstract: This paper examines causal relationships between telecommunications infrastructur," Department of Economics - Working Papers Series 2032, The University of Melbourne.
• Christoph Engel, 2018. "Empirical Methods for the Law," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 174(1), pages 5-23, March.
  • Christoph Engel, 2017. "Empirical Methods for the Law," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2017_07, Max Planck Institute for Research on Collective Goods.
• David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020. "Bayesian assessment of Lorenz and stochastic dominance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 767-799, May.
  • David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
  • David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian assessment of Lorenz and stochastic dominance," Monash Econometrics and Business Statistics Working Papers 15/17, Monash University, Department of Econometrics and Business Statistics.
• Yan Meng & Xueyan Zhao & Xibin Zhang & Jiti Gao, 2017. "A panel data analysis of hospital variations in length of stay for hip replacements: Private versus public," Monash Econometrics and Business Statistics Working Papers 20/17, Monash University, Department of Econometrics and Business Statistics.
• Tingting Cheng & Jiti Gao & Peter CB Phillips, 2017. "Bayesian estimation based on summary statistics: Double asymptotics and practice," Monash Econometrics and Business Statistics Working Papers 4/17, Monash University, Department of Econometrics and Business Statistics.
• Bing Jiang & Yanrong Yang & Jiti Gao & Cheng Hsiao, 2017. "Recursive estimation in large panel data models: Theory and practice," Monash Econometrics and Business Statistics Working Papers 5/17, Monash University, Department of Econometrics and Business Statistics.
• Ban Kheng Tan & Anastasios Panagiotelis & George Athanasopoulos, 2017. "Bayesian Inference for a 1-Factor Copula Model," Monash Econometrics and Business Statistics Working Papers 6/17, Monash University, Department of Econometrics and Business Statistics.
• Gregory De Walque & Thomas Lejeune & Yuliya Rychalovska & Rafael Wouters, 2017. "An estimated two-country EA-US model with limited exchange rate pass-through," Working Paper Research 317, National Bank of Belgium.
• Herbst, Edward & Schorfheide, Frank, 2019. "Tempered particle filtering," Journal of Econometrics, Elsevier, vol. 210(1), pages 26-44.
  • Edward Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," Finance and Economics Discussion Series 2016-072, Board of Governors of the Federal Reserve System (U.S.).
  • Edward Herbst & Frank Schorfheide, 2017. "Tempered Particle Filtering," NBER Working Papers 23448, National Bureau of Economic Research, Inc.
  • Edward Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," PIER Working Paper Archive 16-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Oct 2016.
• Erik Heitfield & Gary Richardson & Shirley Wang, 2017. "Contagion During the Initial Banking Panic of the Great Depression," NBER Working Papers 23629, National Bureau of Economic Research, Inc.
• Jean-Pierre Dubé & Sanjog Misra, 2017. "Scalable Price Targeting," NBER Working Papers 23775, National Bureau of Economic Research, Inc.
• Chunping Liu & Zhirong Ou, 2017. "What determines China's housing price dynamics? New evidence from a DSGE-VAR," NBS Discussion Papers in Economics 2017/04, Economics, Nottingham Business School, Nottingham Trent University.
• Slutskin, L., 2017. "Graphical Statistical Methods for Studying Causal Effects. Bayesian Networks," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 12-30.
• Jangho Yang, 2017. "An Entropy-Constrained Model of Induced Technical Change with a Single Innovation Possibility Frontier," Working Papers 1714, New School for Social Research, Department of Economics.
• Shevelev A.A., 2017. "Bayesian approach to evaluate the impact of external shocks on Russian macroeconomics indicators," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 26-40.
• Li, Bing & Liu, Qing, 2017. "On the choice of monetary policy rules for China: A Bayesian DSGE approach," China Economic Review, Elsevier, vol. 44(C), pages 166-185.
• Grant, Angelia L. & Chan, Joshua C.C., 2017. "Reconciling output gaps: Unobserved components model and Hodrick–Prescott filter," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 114-121.
  • Joshua C.C. Chan & Angelia L. Grant, 2016. "Reconciling output gaps: unobserved components model and Hodrick-Prescott filter," CAMA Working Papers 2016-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Franta, Michal, 2017. "Rare shocks vs. non-linearities: What drives extreme events in the economy? Some empirical evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 136-157.
  • Michal Franta, 2015. "Rare Shocks vs. Non-linearities: What Drives Extreme Events in the Economy? Some Empirical Evidence," Working Papers 2015/04, Czech National Bank.
• Lambertini, Luisa & Nuguer, Victoria & Uysal, Pinar, 2017. "Mortgage default in an estimated model of the U.S. housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 171-201.
  • Luisa Lambertini & Victoria Nuguer & Pinar Uysal, 2017. "Mortgage Default in an Estimated Model of the U.S. Housing Market," Working Papers 2017-06, Banco de México.
• Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
  • Jakob Grazzini & Matteo Richiardi & Mike Tsionas, 2015. "Bayesian Estimation of Agent-Based Models," Economics Papers 2015-W12, Economics Group, Nuffield College, University of Oxford.
  • Jakob Grazzini & Matteo G. Richiardi & Mike Tsionas, 2015. "Bayesian Estimation of Agent-Based Models," LABORatorio R. Revelli Working Papers Series 145, LABORatorio R. Revelli, Centre for Employment Studies.
• Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2017. "Great recession, slow recovery and muted fiscal policies in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 140-161.
  • Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2016. "Great Recession, Slow Recovery and Muted Fiscal Policies in the US," Working Papers 201602, School of Economics, University College Dublin.
• Bhatt, Vipul & Kishor, N Kundan & Ma, Jun, 2017. "The impact of EMU on bond yield convergence: Evidence from a time-varying dynamic factor model," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 206-222.
• Aruoba, S. Borağan & Bocola, Luigi & Schorfheide, Frank, 2017. "Assessing DSGE model nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 34-54.
  • S. Borağan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE Model Nonlinearities," NBER Working Papers 19693, National Bureau of Economic Research, Inc.
  • S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
• Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
• Hur, Joonyoung & Lee, Kang Koo, 2017. "Fiscal financing and the efficacy of fiscal policy in Korea: An empirical assessment with comparison to the U.S. evidence," Economic Modelling, Elsevier, vol. 64(C), pages 473-486.
• Chen, Cathy W.S. & Wang, Zona & Sriboonchitta, Songsak & Lee, Sangyeol, 2017. "Pair trading based on quantile forecasting of smooth transition GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 38-55.
• Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
  • Guo, X. & McAleer, M.J. & Wong, W.-K. & Zhu, L., 2016. "A Bayesian Approach to Excess Volatility, Short-term Underreaction and Long-term Overreaction during Financial Crises," Econometric Institute Research Papers EI2016-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Xu Guo & Michael McAleer & Wing-Keung Wong & Lixing Zhu, 2016. "A Bayesian Approach to Excess Volatility, Short-term Underreaction and Long-term Overreaction During Financial Crises," Tinbergen Institute Discussion Papers 16-003/III, Tinbergen Institute.
• Dimitrakopoulos, Stefanos, 2017. "Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility," Economics Letters, Elsevier, vol. 150(C), pages 10-14.
• Herzberg, Frederik, 2017. "Respect for experts vs. respect for unanimity: The liberal paradox in probabilistic opinion pooling," Economics Letters, Elsevier, vol. 151(C), pages 44-47.
• Dimitrakopoulos, Stefanos & Dey, Dipak K., 2017. "Discrete-response state space models with conditional heteroscedasticity: An application to forecasting the federal funds rate target," Economics Letters, Elsevier, vol. 154(C), pages 20-23.
• Dimitrakopoulos, Stefanos, 2017. "The semiparametric asymmetric stochastic volatility model with time-varying parameters: The case of US inflation," Economics Letters, Elsevier, vol. 155(C), pages 14-18.
• Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "A Bayesian analysis of binary misclassification," Economics Letters, Elsevier, vol. 156(C), pages 68-73.
• Meligkotsidou, Loukia & Tzavalis, Elias & Vrontos, Ioannis, 2017. "On Bayesian analysis and unit root testing for autoregressive models in the presence of multiple structural breaks," Econometrics and Statistics, Elsevier, vol. 4(C), pages 70-90.
• Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "An empirical assessment of Optimal Monetary Policy in the Euro area," European Economic Review, Elsevier, vol. 100(C), pages 95-115.
• Lhuissier, Stéphane, 2017. "Financial intermediaries’ instability and euro area macroeconomic dynamics," European Economic Review, Elsevier, vol. 98(C), pages 49-72.
• Guarin, Alexander & Lozano, Ignacio, 2017. "Credit funding and banking fragility: A forecasting model for emerging economies," Emerging Markets Review, Elsevier, vol. 32(C), pages 168-189.
• Sarmiento, Miguel & Galán, Jorge E., 2017. "The influence of risk-taking on bank efficiency: Evidence from Colombia," Emerging Markets Review, Elsevier, vol. 32(C), pages 52-73.
  • Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Other publications TiSEM 7ed3f335-b5ee-4312-bc83-7, Tilburg University, School of Economics and Management.
  • Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Other publications TiSEM f7a73cdb-55a2-40d3-936f-7, Tilburg University, School of Economics and Management.
  • Miguel Sarmiento & Jorge E. Galán, 2015. "The Influence of Risk-Taking on Bank Efficiency: Evidence from Colombia," BORRADORES DE ECONOMIA 013254, BANCO DE LA REPÚBLICA.
  • Miguel Sarmiento & Jorge E. Galán, 2015. "The influence of risk-taking on bank efficiency: evidence from Colombia," Working Papers 1537, Banco de España.
  • Miguel Sarmiento & Jorge E. Galán, 2015. "The Influence of Risk-Taking on Bank Efficiency: Evidence from Colombia," Borradores de Economia 894, Banco de la Republica de Colombia.
  • Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Discussion Paper 2015-036, Tilburg University, Center for Economic Research.
• Nonejad, Nima, 2017. "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 131-154.
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• Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 829-855, December.
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• Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2017. "A Model of the Fed’s View on Inflation," The Warwick Economics Research Paper Series (TWERPS) 1145, University of Warwick, Department of Economics.
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• Berg Tim Oliver, 2017. "Forecast accuracy of a BVAR under alternative specifications of the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-29, April.
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• Yannis Maël Largent, 2017. "La dynamique de la dette et du déficit publics en périodes de récession et d’expansion," Revue économique, Presses de Sciences-Po, vol. 68(4), pages 571-594.
• Doppelhofer, G. & Moe Hansen, O-P. & Weeks, M., 2017. "Determinants of long-term economic growth redux: A Measurement Error Model Averaging (MEMA) approach," Cambridge Working Papers in Economics 1702, Faculty of Economics, University of Cambridge.
• Željka Asanović, 2017. "Predicting Systemic Banking Crises Using Early Warning Models: The Case of Montenegro," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 6(3), pages 157-182.
• Chandan Singha, 2017. "Analysing Adoption of Soil Conservation Measures by Farmers in Darjeeling District, India," Working papers 275, Centre for Development Economics, Delhi School of Economics.
• Liu, Chunping & Ou, Zhirong, 2017. "What determines China's housing price dynamics? New evidence from a DSGE-VAR," Cardiff Economics Working Papers E2017/4, Cardiff University, Cardiff Business School, Economics Section.
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• Sapci, Ayse & Miles, Bradley, 2019. "Bank size, returns to scale, and cost efficiency," Journal of Economics and Business, Elsevier, vol. 105(C).
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• Hernán Rincón & Diego Rodríguez & Jorge Toro & Santiago Téllez, 2017. "FISCO: modelo fiscal para Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 35(83), pages 161-187, June.
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• Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 162-182, April.
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• Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.
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• Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.
• Ding Ding & Xiaoyu Huang & Tao Jin & Waikei Raphael Lam, 2017. "The Residential Real Estate Market in China: Assessment and Policy Implications," Annals of Economics and Finance, Society for AEF, vol. 18(2), pages 411-442, November.
• Cao, Jing & Stokes, Lynne, 2017. "Comparison of Different Ranking Methods in Wine Tasting," Journal of Wine Economics, Cambridge University Press, vol. 12(2), pages 203-210, May.
• Kyoung-SookMOON & Heejean KIM & Hongjoong KIM, 2017. "A Prediction Methodology for the Change of the Values of Financial Products," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 197-210.
• Теодор Тодоров, 2017. "Техническите Индикатори – Инструментариум За Измерване Пулса На “Forex” Пазара," Almanac of PhD Students, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, vol. 13(13 Year 2), pages 133-150.
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• Stourm, Valeria & Bradlow, Eric & Fader, Peter, 2017. "Do Stakeholder Orientation and Environmental Proactivity Impact Firm Profitability?," HEC Research Papers Series 1242, HEC Paris.
• Lo Duca, Marco & Adam, Tomáš, 2017. "Modeling euro area bond yields using a time-varying factor model," Working Paper Series 2012, European Central Bank.
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• Ebru Çaðlayan-Akay & Muhammed H. Van, 2017. "Determinants of the Levels of Development Based on the Human Development Index:Bayesian Ordered Probit Model," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 425-431.
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• István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2017. "Joint Bayesian Analysis of Parameters and States in Nonlinear non‐Gaussian State Space Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1003-1026, August.
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• Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2017. "Have Standard VARS Remained Stable Since the Crisis?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 931-951, August.
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• Giovanni Di Bartolomeo & Marco Di Pietro, 2017. "Intrinsic Persistence of Wage Inflation in New Keynesian Models of the Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(6), pages 1161-1195, September.
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• Foos, Daniel & Lütkebohmert, Eva & Markovych, Mariia & Pliszka, Kamil, 2017. "Euro area banks' interest rate risk exposure to level, slope and curvature swings in the yield curve," Discussion Papers 24/2017, Deutsche Bundesbank.
• Mokinski, Frieder, 2017. "A severity function approach to scenario selection," Discussion Papers 34/2017, Deutsche Bundesbank.
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• Gehrke, Britta, 2019. "Fiscal Rules And Unemployment," Macroeconomic Dynamics, Cambridge University Press, vol. 23(8), pages 3293-3326, December.
  • Gehrke, Britta, 2017. "Fiscal rules and unemployment," FAU Discussion Papers in Economics 10/2014, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
• Prüser, Jan & Schlösser, Alexander, 2017. "The effects of economic policy uncertainty on European economies: Evidence from a TVP-FAVAR," Ruhr Economic Papers 708, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Prüser, Jan, 2017. "Forecasting US inflation using Markov dimension switching," Ruhr Economic Papers 710, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty: Adaptive Mixing of High- and Low-Frequency Information," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168222, Verein für Socialpolitik / German Economic Association.
• Rolando Gonzales Martínez & Patricia Aranda Blanco, 2017. "Microcredit Was Effective In Reducing Poverty And Empowering Women At Subnational Level In Bolivia: Evidence From A Quasi-Experimental Bayesian Spatial Model," Volúmenes de los Cuadernos de Investigacion Economica Boliviana publicados por el Ministerio de Economía y Finanzas Públicas 2017-1, Ministerio de Economía y Finanzas Publicas de Bolivia.
• Joab Valdivia Coria, 2017. "Impact Of NFPS Capital Expenditure On Economic Growth In Bolivia In Years 2006-2016," Volúmenes de los Cuadernos de Investigacion Economica Boliviana publicados por el Ministerio de Economía y Finanzas Públicas 2017-3, Ministerio de Economía y Finanzas Publicas de Bolivia.
• Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
  • Tsionas, Efthymios G. & Tran, Kien C. & Michaelides, Panayotis G., 2017. "Bayesian inference in threshold stochastic frontier models," LSE Research Online Documents on Economics 86848, London School of Economics and Political Science, LSE Library.
• De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2018. "Weighted-average least squares estimation of generalized linear models," Journal of Econometrics, Elsevier, vol. 204(1), pages 1-17.
  • Giuseppe de Luca & Jan Magnus & Franco Peracchi, 2017. "Weighted-Average Least Squares Estimation of Generalized Linear Models," Tinbergen Institute Discussion Papers 17-029/III, Tinbergen Institute.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2017. "Weighted-average least squares estimation of generalized linear models," EIEF Working Papers Series 1711, Einaudi Institute for Economics and Finance (EIEF), revised Aug 2017.
• Alistair Dieppe & Bjorn van Roye & Paolo. Bonomolo, 2017. "Re-assessing Monetary Policy Shocks in China," EcoMod2017 10524, EcoMod.
• Diego Ferreira & Andreza Aparecida Palma, 2017. "Assessing the effect of inflation uncertainty on inflation: further evidences for Latin America," Journal of Economic Studies, Emerald Group Publishing, vol. 44(4), pages 506-517, September.
• Arvind Shrivastava & Nitin Kumar & Purnendu Kumar, 2017. "Bayesian analysis of working capital management on corporate profitability: evidence from India," Journal of Economic Studies, Emerald Group Publishing, vol. 44(4), pages 568-584, September.
• Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
  • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
• Joscha Beckmann & Gary Koop & Dimitris Korobilis & Rainer Alexander Schüssler, 2020. "Exchange rate predictability and dynamic Bayesian learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 410-421, June.
  • Beckmann, J & Koop, G & Korobilis, D & Schüssler, R, 2017. "Exchange rate predictability and dynamic Bayesian learning," Essex Finance Centre Working Papers 20781, University of Essex, Essex Business School.
  • Schüssler, Rainer & Beckmann, Joscha & Koop, Gary & Korobilis, Dimitris, 2018. "Exchange rate predictability and dynamic Bayesian learning," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181523, Verein für Socialpolitik / German Economic Association.
• Aydan Dogan, 2017. "Investment Specific Technology Shocks and Emerging Market Business Cycle Dynamics," UB Economics Working Papers 2017/359, Universitat de Barcelona, Facultat d'Economia i Empresa, UB School of Economics.
• Piotr Dybka & Michal Rubaszek, 2017. "What Determines the Current Account: Intratemporal versus Intertemporal Factors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(1), pages 2-14, March.
• Svatopluk Kapounek, 2017. "The Impact of Institutional Quality on Bank Lending Activity: Evidence from Bayesian Model Averaging," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(5), pages 372-395, October.
  • Svatopluk Kapounek, 2016. "The Impact of Institutional Quality on Bank Lending Activity: Evidence from Bayesian Model Averaging," MENDELU Working Papers in Business and Economics 2016-69, Mendel University in Brno, Faculty of Business and Economics.
• Jiri Witzany, 2017. "A Bayesian Approach to Backtest Overfitting," Working Papers IES 2017/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
• Silvia Miranda-Agrippino & Giovanni Ricco, 2015. "The Transmission of Monetary Policy Shocks," Discussion Papers 1711, Centre for Macroeconomics (CFM), revised Feb 2017.
  • Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "The Transmission of Monetary Policy Shocks," CEPR Discussion Papers 13396, C.E.P.R. Discussion Papers.
  • Silvia Miranda-Agrippino & Giovanni Ricco, 2017. "The transmission of monetary policy shocks," Documents de Travail de l'OFCE 2017-15, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Miranda-Agrippino, Silvia & Ricco, Giovanni, 2017. "The Transmission of Monetary Policy Shocks," Economic Research Papers 269310, University of Warwick - Department of Economics.
  • Miranda-Agrippino, Silvia & Ricco, Giovanni, 2017. "The transmission of monetary policy shocks," LSE Research Online Documents on Economics 86163, London School of Economics and Political Science, LSE Library.
  • Miranda-Agrippino, Silvia & Ricco, Giovanni, 2017. "The Transmission of Monetary Policy Shocks," The Warwick Economics Research Paper Series (TWERPS) 1136, University of Warwick, Department of Economics.
  • Miranda-Agrippino, Silvia & Ricco, Giovanni, 2017. "The transmission of monetary policy shocks," Bank of England working papers 657, Bank of England.
• Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
  • Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
• Enrique Martínez-García, 2019. "Good Policies or Good Luck? New Insights on Globalization and the International Monetary Policy Transmission Mechanism," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 419-454, June.
  • Enrique Martinez-Garcia, 2017. "Good Policies or Good Luck? New Insights on Globalization and the International Monetary Policy Transmission Mechanism," Globalization Institute Working Papers 321, Federal Reserve Bank of Dallas.
• Alexander W. Richter & Nathaniel A. Throckmorton, 2017. "A New Way to Quantify the Effect of Uncertainty," Working Papers 1705, Federal Reserve Bank of Dallas.
  • Alexander Richter & Nathaniel Throckmorton, 2018. "A New Way to Quantify the Effect of Uncertainty," 2018 Meeting Papers 565, Society for Economic Dynamics.
• Andrew Y. Chen & Rebecca Wasyk & Fabian Winkler, 2017. "A Likelihood-Based Comparison of Macro Asset Pricing Models," Finance and Economics Discussion Series 2017-024, Board of Governors of the Federal Reserve System (U.S.).
• Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018. "Measuring international uncertainty: The case of Korea," Economics Letters, Elsevier, vol. 162(C), pages 22-26.
  • Dong Jin Lee & Minchul Shin & Boyuan Zhang & Molin Zhong, 2017. "Measuring International Uncertainty : The Case of Korea," Finance and Economics Discussion Series 2017-066, Board of Governors of the Federal Reserve System (U.S.).
• Musa Orak, 2017. "Capital-Task Complementarity and the Decline of the U.S. Labor Share of Income," International Finance Discussion Papers 1200, Board of Governors of the Federal Reserve System (U.S.).
• Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020. "Monetary Policy and Macroeconomic Stability Revisited," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 255-274, July.
  • Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2017. "Monetary Policy and Macroeconomic Stability Revisited," Research Working Paper RWP 17-1, Federal Reserve Bank of Kansas City.
  • Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020. "Monetary Policy and Macroeconomic Stability Revisited," Bank of Japan Working Paper Series 20-E-2, Bank of Japan.
  • Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2019. "Monetary Policy and Macroeconomic Stability Revisited," Working Papers 201914, Federal Reserve Bank of Cleveland.
  • Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2018. "Monetary Policy and Macroeconomic Stability Revisited," 2018 Meeting Papers 219, Society for Economic Dynamics.
• Taeyoung Doh, 2017. "Trend and Uncertainty in the Long-Term Real Interest Rate: Bayesian Exponential Tilting with Survey Data," Research Working Paper RWP 17-8, Federal Reserve Bank of Kansas City.
• Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2017. "Safety, Liquidity, and the Natural Rate of Interest," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 235-316.
  • Marc Giannoni & Domenico Giannone & Andrea Tambalotti & Marco Del Negro, 2017. "Safety, Liquidity, and the Natural Rate of Interest," 2017 Meeting Papers 803, Society for Economic Dynamics.
  • Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2017. "Safety, liquidity, and the natural rate of interest," Staff Reports 812, 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, 2016. "Priors for the Long Run," CEPR Discussion Papers 11261, C.E.P.R. Discussion Papers.
  • Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2018. "Priors for the long run," Working Paper Series 2132, European Central Bank.
  • Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2017. "Priors for the long run," Staff Reports 832, Federal Reserve Bank of New York.
• Andras Fulop & Jun Yu, 2017. "Bayesian Analysis of Bubbles in Asset Prices," Econometrics, MDPI, Open Access Journal, vol. 5(4), pages 1-23, October.
  • Andras Fulop & Jun Yu, 2014. "Bayesian Analysis of Bubbles in Asset Prices," Working Papers 04-2014, Singapore Management University, School of Economics.
• Alice, Albonico & Alessia, Paccagnini & Patrizio, Tirelli, 2016. "PIIGS in the Euro Area. An Empirical DSGE Model," Working Papers 331, University of Milano-Bicocca, Department of Economics, revised 11 Mar 2016.
  • Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2017. "PIIGS in the Euro area: An empirical DSGE model," Discussion Papers in Economics economics:201710, Griffith University, Department of Accounting, Finance and Economics.
• Blaise Gnimassoun, 2017. "Exchange rate misalignments and the external balance under a pegged currency system," Review of International Economics, Wiley Blackwell, vol. 25(5), pages 949-974, November.
  • Blaise Gnimassoun, 2015. "Exchange rate misalignments and the external balance under a pegged currency system," EconomiX Working Papers 2015-9, University of Paris Nanterre, EconomiX.
  • Blaise Gnimassoun, 2017. "Exchange rate misalignments and the external balance under a pegged currency system," Post-Print hal-01665005, HAL.
• Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 162-182, April.
  • Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print hal-01795051, HAL.
  • Luc BAUWENS & Jean-François CARPENTIER & Arnaud DUFAYS, 2017. "Autoregressive moving average infinite hidden Markov-switching models," LIDAM Reprints CORE 2836, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Edwin Fourrier-Nicolaï & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 91-111, March.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," AMSE Working Papers 1710, Aix-Marseille School of Economics, France.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," Post-Print hal-02477216, HAL.
  • Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," Working Papers halshs-01494354, HAL.
• vom Hofe, Rainer & Mihaescu, Oana & Boorn, Mary Lynne, 2017. "Do urban parks really benefit homeowners economically? Evidence from a spatial hedonic study of the Cincinnati park system," HUI Working Papers 122, HUI Research.
• Lillestøl, Jostein & Sinding-Larsen, Richard, 2017. "Creaming - and the depletion of resources: A Bayesian data analysis," Discussion Papers 2017/16, Norwegian School of Economics, Department of Business and Management Science.
• Lanot, Gauthier & Vesterberg, Mattias, 2017. "An empirical model of the decision to switch between electricity price contracts," Umeå Economic Studies 951, Umeå University, Department of Economics.
• Giuseppe Di Biase, 2017. "Empirical Analysis Of Real Credit Risk Data," Accounting & Taxation, The Institute for Business and Finance Research, vol. 9(1), pages 97-108.
• Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2017. "Trend Inflation and Evolving Inflation Dynamics: A Bayesian GMM Analysis of the Generalized New Keynesian Phillips Curve," IMES Discussion Paper Series 17-E-10, Institute for Monetary and Economic Studies, Bank of Japan.

2016

• Luis Alberto Arce Catacora & David Quiroz Sillo & José Alberto Villegas Gómez, 2016. "The Role Of Aggregate Demand And Resource Distribution Policies In The Elusive Search For High Economic Growth Rates; A Bayesian Estimation Of The Kaleckian Model Of Growth In Bolivia, 1990-2015," Volúmenes de los Cuadernos de Investigacion Economica Boliviana publicados por el Ministerio de Economía y Finanzas Públicas 2016-3, Ministerio de Economía y Finanzas Publicas de Bolivia.
• Ching-Wai Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "VAR Models with Non-Gaussian Shocks," Discussion Papers 1609, Centre for Macroeconomics (CFM).
  • Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pinter, Gabor, 2016. "VAR models with non-Gaussian shocks," LSE Research Online Documents on Economics 86238, London School of Economics and Political Science, LSE Library.
  • Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "VAR Models with Non-Gaussian Shocks," CReMFi Discussion Papers 4, CReMFi, School of Economics and Finance, QMUL.
• Antonello D’Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2016. "Nowcasting Business Cycles: A Bayesian Approach to Dynamic Heterogeneous Factor Models," Advances in Econometrics, in: Eric Hillebrand & Siem Jan Koopman (ed.), Dynamic Factor Models, volume 35, pages 569-594, Emerald Publishing Ltd.
  • Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
• Mihaela Craioveanu & Dek Terrell, 2016. "The Impact of Storms on Firm Survival: A Bayesian Spatial Econometric Model for Firm Survival," Advances in Econometrics, in: Badi H. Baltagi & James P. Lesage & R. Kelley Pace (ed.), Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 81-118, Emerald Publishing Ltd.
• Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2016. "Bayesian Spatial Bivariate Panel Probit Estimation," Advances in Econometrics, in: Badi H. Baltagi & James P. Lesage & R. Kelley Pace (ed.), Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 119-144, Emerald Publishing Ltd.
  • Badi Baltagi & Peter Egger & Michaela Kesina, 2016. "Bayesian Spatial Bivariate Panel Probit Estimation," Center for Policy Research Working Papers 187, Center for Policy Research, Maxwell School, Syracuse University.
• Yiyi Wang & Kara M. Kockelman & Paul Damien, 2016. "A Multivariate Spatial Analysis for Anticipating New Firm Counts," Advances in Econometrics, in: Badi H. Baltagi & James P. Lesage & R. Kelley Pace (ed.), Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 167-193, Emerald Publishing Ltd.
• Jacob Dearmon & Tony E. Smith, 2016. "Local Marginal Analysis of Spatial Data: A Gaussian Process Regression Approach with Bayesian Model and Kernel Averaging," Advances in Econometrics, in: Badi H. Baltagi & James P. Lesage & R. Kelley Pace (ed.), Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 297-342, Emerald Publishing Ltd.
• Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
  • Xu Guo & Michael McAleer & Wing-Keung Wong & Lixing Zhu, 2016. "A Bayesian Approach to Excess Volatility, Short-term Underreaction and Long-term Overreaction During Financial Crises," Tinbergen Institute Discussion Papers 16-003/III, Tinbergen Institute.
  • Guo, X. & McAleer, M.J. & Wong, W.-K. & Zhu, L., 2016. "A Bayesian Approach to Excess Volatility, Short-term Underreaction and Long-term Overreaction during Financial Crises," Econometric Institute Research Papers EI2016-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019. "Decomposing global yield curve co-movement," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.
  • Byrne, JP & Cao, S & Korobilis, D, 2016. "Decomposing Global Yield Curve Co-Movement," Essex Finance Centre Working Papers 18194, University of Essex, Essex Business School.
• Narcissa Balta & Francesca D’Auria & Plamen Nikolov & Borek Vasicek, . "Quarterly Report on the Euro Area (QREA), Vol.15, No.2 (2016)," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
• Milan Ficura & Jiri Witzany, 2016. "Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 278-301, August.
• Brent Meyer & Saeed Zaman, 2019. "The usefulness of the median CPI in Bayesian VARs used for macroeconomic forecasting and policy," Empirical Economics, Springer, vol. 57(2), pages 603-630, August.
  • Brent Meyer & Saeed Zaman, 2016. "The Usefulness of the Median CPI in Bayesian VARs Used for Macroeconomic Forecasting and Policy," FRB Atlanta Working Paper 2016-13, Federal Reserve Bank of Atlanta.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series) 1617, Federal Reserve Bank of Cleveland.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018. "Measuring Uncertainty and Its Impact on the Economy," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
  • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Measuring Uncertainty and Its Impact on the Economy," BAFFI CAREFIN Working Papers 1639, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
  • Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2016. "Measuring Uncertainty and Its Impact on the Economy," Working Papers (Old Series) 1622, Federal Reserve Bank of Cleveland.
• Alexander W. Richter & Nathaniel A. Throckmorton, 2016. "Are nonlinear methods necessary at the zero lower bound?," Working Papers 1606, Federal Reserve Bank of Dallas.
• Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
  • Minchul Shin & Molin Zhong, 2016. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Finance and Economics Discussion Series 2016-040, Board of Governors of the Federal Reserve System (U.S.).
• Herbst, Edward & Schorfheide, Frank, 2019. "Tempered particle filtering," Journal of Econometrics, Elsevier, vol. 210(1), pages 26-44.
  • Edward Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," PIER Working Paper Archive 16-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Oct 2016.
  • Edward Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," Finance and Economics Discussion Series 2016-072, Board of Governors of the Federal Reserve System (U.S.).
  • Edward Herbst & Frank Schorfheide, 2017. "Tempered Particle Filtering," NBER Working Papers 23448, National Bureau of Economic Research, Inc.
• Daniel O. Beltran & David Draper, 2018. "Estimating dynamic macroeconomic models: how informative are the data?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(2), pages 501-520, February.
  • Daniel O. Beltran & David Draper, 2016. "Estimating Dynamic Macroeconomic Models : How Informative Are the Data?," International Finance Discussion Papers 1175, Board of Governors of the Federal Reserve System (U.S.).
• Leonardo Melosi, 2017. "Signalling Effects of Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 84(2), pages 853-884.
  • Leonardo Melosi, 2012. "Signaling effects of monetary policy," Working Paper Series WP-2012-05, Federal Reserve Bank of Chicago.
  • Leonardo Melosi, 2016. "Signaling Effects of Monetary Policy," Working Paper Series WP-2016-14, Federal Reserve Bank of Chicago.
  • Leonardo Melosi, 2013. "Signaling Effects of Monetary Policy," PIER Working Paper Archive 13-029, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
• Francesco Bianchi & Leonardo Melosi, 2018. "Constrained Discretion and Central Bank Transparency," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 187-202, March.
  • Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-041, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  • Francesco Bianchi & Leonardo Melosi, 2016. "Constrained Discretion and Central Bank Transparency," Working Paper Series WP-2016-15, Federal Reserve Bank of Chicago.
  • Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  • Bianchi, Francesco & Melosi, Leonardo, 2014. "Constrained Discretion and Central Bank Transparency," CEPR Discussion Papers 9955, C.E.P.R. Discussion Papers.
  • Francesco Bianchi & Leonardo Melosi, 2013. "Constrained Discretion and Central Bank Transparency," Working Papers 13-13, Duke University, Department of Economics.
  • Francesco Bianchi & Leonardo Melosi, 2014. "Constrained Discretion and Central Bank Transparency," NBER Working Papers 20566, National Bureau of Economic Research, Inc.
  • Francesco Bianchi, 2014. "Constrained Discretion and Central Bank Transparency," 2014 Meeting Papers 424, Society for Economic Dynamics.
  • Francesco Bianchi & Leonardo Melosi, 2014. "Constrained Discretion and Central Bank Transparency," Working Paper Series WP-2014-16, Federal Reserve Bank of Chicago.
• Troy A. Davig & Aaron Smalter Hall, 2016. "Recession forecasting using Bayesian classification," Research Working Paper RWP 16-6, Federal Reserve Bank of Kansas City.
• Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-20, March.
  • Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models using ParMitISEM," Tinbergen Institute Discussion Papers 16-005/III, Tinbergen Institute.
  • Baştürk, N. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2016. "Parallelization experience with four canonical econometric models using ParMitISEM," Research Memorandum 013, Maastricht University, Graduate School of Business and Economics (GSBE).
• Arnaud Dufays, 2016. "Evolutionary Sequential Monte Carlo Samplers for Change-Point Models," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-33, March.
  • Arnaud Dufays, 2015. "Evolutionary Sequential Monte Carlo Samplers for Change-point Models," Cahiers de recherche 1518, CIRPEE.
  • Arnaud Dufays, 2015. "Evolutionary Sequential Monte Carlo Samplers for Change-point Models," Cahiers de recherche 1508, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
• David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-19, March.
  • Lukasz Gatarek & Lennart Hoogerheide & Herman K. van Dijk, 2014. "Return and Risk of Pairs Trading using a Simulation-based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Tinbergen Institute Discussion Papers 14-039/III, Tinbergen Institute.
• Guido Travaglini, 2016. "Time-varying parameter estimation in macroeconometrics," Public Finance Research Papers 26, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.
• Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103, Brandeis University, Department of Economics and International Businesss School.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 2016_09, Business School - Economics, University of Glasgow.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103R, Brandeis University, Department of Economics and International Businesss School, revised Apr 2016.
  • Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2017. "Bayesian Compressed Vector Autoregressions," Working Paper series 17-32, Rimini Centre for Economic Analysis.
• Dietrich, Franz & List, Christian, 2014. "Probabilistic Opinion Pooling," MPRA Paper 54806, University Library of Munich, Germany.
  • Franz Dietrich & Christian List, 2016. "Probabilistic opinion pooling," Post-Print halshs-00978032, HAL.
  • Franz Dietrich & Christian List, 2016. "Probabilistic opinion pooling," PSE-Ecole d'économie de Paris (Postprint) halshs-00978032, HAL.
  • Franz Dietrich & Christian List, 2016. "Probabilistic opinion pooling," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00978032, HAL.
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