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

2023

• José R. Maria & Paulo Júlio, 2023. "Trends and cycles during the COVID-19 pandemic period," Working Papers w202311, Banco de Portugal, Economics and Research Department.
• Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, . "Trend Inflation and Evolving Inflation Dynamics:A Bayesian GMM Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics.
  • 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.
  • Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2023. "Code and data files for "Trend Inflation and Evolving Inflation Dynamics:A Bayesian GMM Analysis"," Computer Codes 22-126, Review of Economic Dynamics.
• Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Papers No 06/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper series 23-06, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper 2023/9, Norges Bank.
  • Dimitris Korobilis & Maximilian Schroder, 2023. "Monitoring multicountry macroeconomic risk," Papers 2305.09563, arXiv.org.
• Shykhli, Samaneh & Nasiriaghdam, Ali & Amadeh, Hamid & Dorodian, Hossein, 2023. "Modelling of Banking Crisis Forecasting in Iran by BMA," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 9(4), pages 1-36, March.
• Aghania, Parisa & Heydari, Hassan & Jahangiri, Shahab, 2023. "Investigating the Impact of Monetary Policy Shocks on Economic Growth and Inflation in the Iranian Economy: Empirical Evidence Based on the TVP-TVP-SFAVAR-SV Model," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 9(4), pages 61-96, March.
• Daniel Traian PELE & Alexandra Ioana CONDA & Raul Cristian BAG & Miruna MAZURENCU-MARINESCU-PELE & Vasile Alecsandru STRAT, 2023. "Financial Risk Meter for The Romanian Stock Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-24, March.
• Hao Wen CHANG & Tsangyao CHANG & Yang-Cheng LU, 2023. "Contagion Between Gold and other Commodity Goods using Bayesian Multivariate Quantile_On_Quantile Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 21-35, June.
• Marcos Ross Fernandes, 2023. "Confirmation Bias in Social Networks," Working Papers, Department of Economics 2023_02, University of São Paulo (FEA-USP).
• Christoph Hanck & Martin C. Arnold, 2023. "Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 177-204, March.
• Tak Kuen Siu, 2023. "Bayesian nonlinear expectation for time series modelling and its application to Bitcoin," Empirical Economics, Springer, vol. 64(1), pages 505-537, January.
• David Finck & Paul Rudel, 2023. "Do credit supply shocks have asymmetric effects?," Empirical Economics, Springer, vol. 64(4), pages 1559-1597, April.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2023. "Modelling Okun’s law: Does non-Gaussianity matter?," Empirical Economics, Springer, vol. 64(5), pages 2183-2213, May.
  • Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022. "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers 2022:1, Örebro University, School of Business.
• Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
• Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
• Hülya Saygılı & Aysun Türkvatan, 2023. "Tradable and non-tradable inflation in Turkey: asymmetric responses to global factors," Empirical Economics, Springer, vol. 65(2), pages 973-1006, August.
• Bogdan Muraraşu & Cristina Anghelescu & Robert Adrian Grecu, 2023. "Assessing fiscal multipliers in times of crisis: evidence from selected CEE countries," Empirical Economics, Springer, vol. 65(4), pages 1627-1654, October.
• Omar Chafik, 2023. "Monetary Policy in Oil Exporting Countries with Fixed Exchange Rate and Open Capital Account: Expectations Matter," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 1-22, March.
  • 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.
• Juste Somé, 2023. "Oil Demand and Supply Shocks in Canada’s Economy," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(2), pages 363-394, June.
• Shikha Gupta & Nand Kumar, 2023. "Time varying dynamics of globalization effect in India," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 81-97, January.
• Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
• Matthias Breuer & Harm H. Schütt, 2023. "Accounting for uncertainty: an application of Bayesian methods to accruals models," Review of Accounting Studies, Springer, vol. 28(2), pages 726-768, June.
• Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2023. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3313-3335, June.
• Pami Dua, 2023. "Macroeconomic Modelling and Bayesian Methods," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 19-37, Springer.
  • Pami Dua, 2017. "Macroeconomic Modelling and Bayesian Methods," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(2), pages 209-226, June.
• Pami Dua & Rajiv Ranjan & Deepika Goel, 2023. "Forecasting the INR/USD Exchange Rate: A BVAR Framework," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 183-224, Springer.
• Dante A. Urbina & Gabriel Rodríguez, 2023. "Evolution of the effects of mineral commodity prices on fiscal fluctuations: empirical evidence from TVP-VAR-SV models for Peru," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(1), pages 153-184, February.
• Paulo Chávez & Gabriel Rodríguez, 2023. "Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(2), pages 505-544, May.
  • Paulo Chávez & Gabriel Rodríguez, 2022. "Time Changing Effects of External Shocks on Macroeconomic Fluctuations in Peru: Empirical Application Using Regime-Switching VAR Models with Stochastic Volatility," Documentos de Trabajo / Working Papers 2022-509, Departamento de Economía - Pontificia Universidad Católica del Perú.
• Szabolcs Deak & Paul Levine & Afrasiab Mirza & Son Pham, 2023. "Negotiating the Wilderness of Bounded Rationality through Robust Policy," School of Economics Discussion Papers 0223, School of Economics, University of Surrey.
• Hoang Nguyen & Trong-Nghia Nguyen & Minh-Ngoc Tran, 2023. "A dynamic leverage stochastic volatility model," Applied Economics Letters, Taylor & Francis Journals, vol. 30(1), pages 97-102, January.
  • Nguyen, Hoang & Nguyen, Trong-Nghia & Tran, Minh-Ngoc, 2021. "A dynamic leverage stochastic volatility model," Working Papers 2021:14, Örebro University, School of Business.
• Martin Burda & Remi Daviet, 2023. "Hamiltonian sequential Monte Carlo with application to consumer choice behavior," Econometric Reviews, Taylor & Francis Journals, vol. 42(1), pages 54-77, January.
  • 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.
• Erlan Konebayev, 2023. "Forecasting a Commodity-Exporting Small Open Developing Economy Using DSGE and DSGE-BVAR," International Economic Journal, Taylor & Francis Journals, vol. 37(1), pages 39-70, January.
  • Erlan Konebayev, 2022. "Forecasting a commodity-exporting small open developing economy using DSGE and DSGE-BVAR," NAC Analytica Working Paper 24, NAC Analytica, Nazarbayev University, revised May 2022.
• Joshua C. C. Chan, 2023. "Large Hybrid Time-Varying Parameter VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(3), pages 890-905, July.
  • Joshua C.C. Chan, 2019. "Large hybrid time-varying parameter VARs," CAMA Working Papers 2019-77, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Joshua C. C. Chan, 2022. "Large Hybrid Time-Varying Parameter VARs," Papers 2201.07303, arXiv.org, revised Jun 2022.
• Stuart Donovan & Thomas de Graaff & Henri L.F. de Groot & Aaron Schiff, 2023. "An urban overhead? Crime, agglomeration, and amenity," Tinbergen Institute Discussion Papers 23-024/VIII, Tinbergen Institute.
• Jamie Cross & Lennart Hoogerheide & Paul Labonne & Herman K. van Dijk, 2023. "Bayesian Mode Inference for Discrete Distributions in Economics and Finance," Tinbergen Institute Discussion Papers 23-038/III, Tinbergen Institute.
• Nalan Basturk & Jamie Cross & Peter de Knijff & Lennart Hoogerheide & Paul Labonne & Herman K van Dijk, 2023. "BayesMultiMode: Bayesian Mode Inference in R," Tinbergen Institute Discussion Papers 23-041/III, Tinbergen Institute.
• Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.
• Izadi Hamid Reza, 2023. "The Role of Internalization of Discount Factor on Households’ Behavior Using DSGE Model," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(1), pages 74-87, March.
• Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
  • Gary Koop & Dimitris Korobilis, 2018. "Bayesian dynamic variable selection in high dimensions," Papers 1809.03031, arXiv.org, revised May 2020.
  • 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.
• Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
  • Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
  • Marcellino, Massimiliano & Clark, Todd & Huber, Florian & Koop, Gary & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
• Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
  • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2020. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Staff Working Papers 20-45, Bank of Canada.
  • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2022. "Understanding trend inflation through the lens of the goods and services sectors," CAMA Working Papers 2022-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series 2301, Institute of Economic Research, Korea University.
• Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.
  • 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.
• Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023. "Forecasting with a panel Tobit model," Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
  • Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," NBER Working Papers 26569, National Bureau of Economic Research, Inc.
  • 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.
  • Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021. "Forecasting with a Panel Tobit Model," Papers 2110.14117, arXiv.org, revised Jul 2022.
• Kansho Piotr Otsubo, 2023. "The Effects Of Unconventional Monetary Policy In Japan: New Evidence From Time-Varying Parameter Var Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 68(02), pages 609-628.
• Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Discussion Papers 25/2023, Deutsche Bundesbank.
• Tatar, Balint, 2023. "Has the reaction function of the European Central Bank changed over time?," IMFS Working Paper Series 183, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Dück, Alexander & Le, Anh H., 2023. "Transition risk uncertainty and robust optimal monetary policy," IMFS Working Paper Series 187, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Camehl, Annika & von Schweinitz, Gregor, 2023. "What explains international interest rate co-movement?," IWH Discussion Papers 3/2023, Halle Institute for Economic Research (IWH).
• Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach [Working Papers / Documents de travail]," Working Papers hal-04066544, HAL.
  • Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers 2310, Aix-Marseille School of Economics, France.
• Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," Working Papers hal-04093646, HAL.
  • Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
• Iania, Leonardo & Lyrio, Marco & Nersisyan, Liana, 2023. "Oil Price Shocks and Bond Risk Premia: Evidence from a Panel of 15 Countries," LIDAM Discussion Papers LFIN 2023002, Université catholique de Louvain, Louvain Finance (LFIN).
• DI BARTOLOMEO, Giovanni & SERPIERI, Carolina, 2023. "Optimal monetary policy and the vintage-dependent price and wage Phillips curves: An international comparison," Working Papers 2023004, University of Antwerp, Faculty of Business and Economics.
• Ignacio Galará, 2023. "A Measure of our Uncertainty: Households’ Inflation Expectation and Information Shocks," Working Papers 273, Red Nacional de Investigadores en Economía (RedNIE).
• Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Papers No 06/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Dimitris Korobilis & Maximilian Schroder, 2023. "Monitoring multicountry macroeconomic risk," Papers 2305.09563, arXiv.org.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper series 23-06, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper 2023/9, Norges Bank.
• Florian Huber & Gary Koop, 2023. "Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks," Working Papers 2309, University of Strathclyde Business School, Department of Economics.
  • Florian Huber & Gary Koop, 2023. "Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks," Papers 2305.16827, arXiv.org.
• Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2023. "Significance Bands for Local Projections," Working Paper Series 2023-15, Federal Reserve Bank of San Francisco.
  • Atsushi Inoue & `Oscar Jord`a & Guido M. Kuersteiner, 2023. "Significance Bands for Local Projections," Papers 2306.03073, arXiv.org.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series wps115, Bank of Russia.
  • Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized neural networks for agent-based model forecasting," Papers 2308.05753, arXiv.org.
• Tommaso Tornese, 2023. "A Euro Area Term Structure Model with Time Varying Exposures," BAFFI CAREFIN Working Papers 23199, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
• Marcellino, Massimiliano & Carriero, Andrea & Tornese, Tommaso, 2022. "Blended Identification in Structural VARs," CEPR Discussion Papers 17640, C.E.P.R. Discussion Papers.
  • Andrea Carriero & Massimiliano Marcellino & Tommaso Tornese, 2023. "Blended Identification in Structural VARs," BAFFI CAREFIN Working Papers 23200, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
• Yury D. Belkin & Alexey N. Matsuev & Alla V. Ryzhakova & Nadezhda V. Sedova, 2023. "Assessing the Impact of Investment Projects for the Development of Inland Waterway Transport on Social and Economic Indicators in Regions," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 92-108.
• Temel Taskin & Franz Ulrich Ruch, 2023. "Global Demand and Supply Sentiment: Evidence from Earnings Calls," Staff Working Papers 23-37, Bank of Canada.
• Tony Chernis, 2023. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers 23-45, Bank of Canada.
• Miranda-Agrippino, Silvia & Ricco, Giovanni, 2021. "Bayesian Local Projections," The Warwick Economics Research Paper Series (TWERPS) 1348, University of Warwick, Department of Economics.
  • Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
  • Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "Bayesian local projections," SciencePo Working papers Main hal-03373574, HAL.
  • Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "Bayesian local projections," Working Papers hal-03373574, HAL.
  • Leonardo N. Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers 2023-04, Center for Research in Economics and Statistics.
• José González Mínguez & Samuel Hurtado & Danilo Leiva-León & Alberto Urtasun, 2023. "De la energía al resto de los componentes: la generalización del fenómeno inflacionista," Boletín Económico, Banco de España, issue 2023/T1.
• Pablo Aguilar & Corinna Ghirelli & Blanca Jiménez-García, 2023. "La evolución reciente de la inversión en España desde una perspectiva macroeconómica," Boletín Económico, Banco de España, issue 2023/T3.
• José González Mínguez & Samuel Hurtado & Danilo Leiva-León & Alberto Urtasun, 2023. "The spread of inflation from energy to other components," Economic Bulletin, Banco de España, issue 2023/Q1.
• Pablo Aguilar & Corinna Ghirelli & Blanca Jiménez-García, 2023. "Recent changes in investment in Spain from a macroeconomic perspective," Economic Bulletin, Banco de España, issue 2023/Q3.
• Hervé Le Bihan & Danilo Leiva-León & Matías Pacce, 2023. "Underlying inflation and asymetric risks," Working Papers 2319, Banco de España.
• Francesco Corsello & Alex Tagliabracci, 2023. "Assessing the pass-through of energy prices to inflation in the euro area," Questioni di Economia e Finanza (Occasional Papers) 745, Bank of Italy, Economic Research and International Relations Area.
• Martha López & Eduardo Sarmiento G., 2023. "Excess Asset Returns Predictability in an Emerging Economy: The Case of Colombia," Borradores de Economia 1243, Banco de la Republica de Colombia.
• Camilo Granados & Daniel Parra-Amado, 2023. "Estimating the Output Gap After COVID: How to Address Unprecedented Macroeconomic Variations," Borradores de Economia 1249, Banco de la Republica de Colombia.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized neural networks for agent-based model forecasting," Papers 2308.05753, arXiv.org.
  • Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series wps115, Bank of Russia.
• Joshua C.C. Chan & Rodney W. Strachan, 2023. "Bayesian State Space Models In Macroeconometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
  • 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.
• Sune Karlsson & Pär Österholm, 2023. "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(1), pages 287-314, January.
  • Karlsson, Sune & Österholm, Pär, 2018. "Is the US Phillips Curve Stable? Evidence from Bayesian VARs," Working Papers 2018:5, Örebro University, School of Business.
• Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Papers No 06/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper 2023/9, Norges Bank.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper series 23-06, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Maximilian Schroder, 2023. "Monitoring multicountry macroeconomic risk," Papers 2305.09563, arXiv.org.
• Dimitris Korobilis & Maximilian Schroder, 2023. "Monitoring multicountry macroeconomic risk," Papers 2305.09563, arXiv.org.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Papers No 06/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper series 23-06, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper 2023/9, Norges Bank.
• Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
• Zacharias Bragoudakis & Ioannis Krompas, 2023. "Greek GDP forecasting using Bayesian multivariate models," Working Papers 321, Bank of Greece.
• Yoshibumi Makabe & Yosuke Matsumoto & Wataru Hirata, 2023. "Estimating Pipeline Pressures in New Keynesian Phillips Curves: A Bayesian VAR-GMM Approach," Bank of Japan Working Paper Series 23-E-13, Bank of Japan.
• Stephanie Ettmeier, 2023. "No Taxation Without Reallocation: The Distributional Effects of Tax Changes," CRC TR 224 Discussion Paper Series crctr224_2023_436, University of Bonn and University of Mannheim, Germany.
• Han Jong-Suk & Hur Joonyoung, 2023. "Effect of Monetary Policy on Government Spending Multiplier," The B.E. Journal of Macroeconomics, De Gruyter, vol. 23(1), pages 57-93, January.
• Doojav Gan-Ochir & Luvsannyam Davaajargal, 2023. "Forecasting Inflation in Mongolia: A Dynamic Model Averaging Approach," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 27-48, January.
  • Doojav, Gan-Ochir & Luvsannyam, Davaajargal, 2017. "Forecasting inflation in Mongolia: A dynamic model averaging approach," MPRA Paper 102602, University Library of Munich, Germany.
• Tomas Micko & Alexander Karsay & Zuzana Mucka & Lucia Sramkova, 2023. "Closer to Finding Yeti," Working Papers Working Paper No. 1/2023, Council for Budget Responsibility.
• Amelie Luhede & Houda Yaqine & Reza Bahmanbijari & Michael Römer & Thorsten Upmann, 2023. "The Value of Information in Water Quality Monitoring and Management," CESifo Working Paper Series 10307, CESifo.
• K. Peren Arin & Efstathios Polyzos & Marcel Thum, 2023. "The Populist Voter: A Machine Learning Approach for the Individual Characteristics," CESifo Working Paper Series 10472, CESifo.
• Markus Leippold & Hanlin Yang, 2023. "Mixed-Frequency Predictive Regressions with Parameter Learning," Swiss Finance Institute Research Paper Series 23-39, Swiss Finance Institute, revised Jun 2023.
• Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
  • Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space-time panel data models using ?-contamination: An application to crop yields and climate change," CIRANO Working Papers 2023s-01, CIRANO.
• Noémi Berlin & Jan Dul & Marco Gazel & Louis Lévy-Garboua & Todd Lubart, 2023. "Creative Cognition as a Bandit Problem," Documents de travail du Centre d'Economie de la Sorbonne 23002, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Noémie Berlin & Jan Dul & Marco Gazel & Louis Lévy-Garboua & Todd Lubart, 2023. "Creative Cognition as a Bandit Problem," CIRANO Working Papers 2023s-11, CIRANO.
• Timmermann, Allan & Smith, Simon & Wright, Jonathan, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," CEPR Discussion Papers 18033, C.E.P.R. Discussion Papers.
• Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino, 2022. "Forecasting US Inflation Using Bayesian Nonparametric Models," Papers 2202.13793, arXiv.org.
  • Marcellino, Massimiliano & Clark, Todd & Huber, Florian & Koop, Gary, 2023. "Forecasting US Inflation Using Bayesian Nonparametric Models," CEPR Discussion Papers 18244, C.E.P.R. Discussion Papers.
  • Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino, 2022. "Forecasting US Inflation Using Bayesian Nonparametric Models," Working Papers 22-05, Federal Reserve Bank of Cleveland.
• Miranda-Agrippino, Silvia & Ricco, Giovanni, 2021. "Bayesian Local Projections," The Warwick Economics Research Paper Series (TWERPS) 1348, University of Warwick, Department of Economics.
  • Leonardo N. Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers 2023-04, Center for Research in Economics and Statistics.
  • Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
  • Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "Bayesian local projections," SciencePo Working papers Main hal-03373574, HAL.
  • Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "Bayesian local projections," Working Papers hal-03373574, HAL.
• Cardani, Roberta & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2023. "The COVID-19 recession on both sides of the Atlantic: A model-based comparison," European Economic Review, Elsevier, vol. 158(C).
  • Roberta Cardani & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2023. "The COVID-19 Recession on Both Sides of the Atlantic: A Model-Based Comparison," European Economy - Discussion Papers 191, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  • Roberta Cardani & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2023. "The COVID-19 recession on both sides of the Atlantic: A model-based comparison," LIDAM Discussion Papers IRES 2023014, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
• Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
• Manganelli, Simone, 2023. "Double conditioning: the hidden connection between Bayesian and classical statistics," Working Paper Series 2786, European Central Bank.
• Shah, Sayar Ahmad & Garg, Bhavesh, 2023. "Testing policy effectiveness during COVID-19: An NK-DSGE analysis," Journal of Asian Economics, Elsevier, vol. 84(C).
• Follett, Lendie & Henderson, Heath, 2023. "A hybrid approach to targeting social assistance," Journal of Development Economics, Elsevier, vol. 160(C).
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
  • 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.
• Fu, Bowen, 2023. "Measuring the trend real interest rate in a data-rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
• Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
• Shah, Sayar Ahmad & Garg, Bhavesh, 2023. "Identifying efficient policy mix under different targeting regimes: A tale of two crises," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 975-994.
• Hoover, Gary A. & Smimou, K., 2023. "Socially conscious investment funds and home country institutions," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 395-417.
• Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2023. "Does inattentiveness matter for DSGE modeling? An empirical investigation," Economic Modelling, Elsevier, vol. 118(C).
  • Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2021. "Does Inattentiveness Matter for DSGE Modelling? An Empirical Investigation," Cardiff Economics Working Papers E2021/35, Cardiff University, Cardiff Business School, Economics Section.
• Higgins, C. Richard, 2023. "Risk and Uncertainty: The Role of Financial Frictions," Economic Modelling, Elsevier, vol. 119(C).
• Foroni, Claudia & Ravazzolo, Francesco & Rossini, Luca, 2023. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Economic Modelling, Elsevier, vol. 120(C).
  • Claudia Foroni & Francesco Ravazzolo & Luca Rossini, 2020. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Papers 2007.13566, arXiv.org, revised Dec 2022.
• Rodríguez, Gabriel & Vassallo, Renato & Castillo B., Paul, 2023. "Effects of external shocks on macroeconomic fluctuations in Pacific Alliance countries," Economic Modelling, Elsevier, vol. 124(C).
• Boonman, Tjeerd M., 2023. "Portfolio capital flows before and after the Global Financial Crisis," Economic Modelling, Elsevier, vol. 127(C).
• Wen Chang, Hao & Chang, Tsangyao, 2023. "How oil price and exchange rate affect stock price in China using Bayesian Quantile_on_Quantile with GARCH approach," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
• Doğan, Osman, 2023. "Modified harmonic mean method for spatial autoregressive models," Economics Letters, Elsevier, vol. 223(C).
• Wu, Ping & Koop, Gary, 2023. "Estimating the ordering of variables in a VAR using a Plackett–Luce prior," Economics Letters, Elsevier, vol. 230(C).
• Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Journal of Econometrics, Elsevier, vol. 232(1), pages 52-69.
  • 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.
  • 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.
• Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023. "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, vol. 232(2), pages 501-520.
• Li, Yong & Wang, Nianling & Yu, Jun, 2023. "Improved marginal likelihood estimation via power posteriors and importance sampling," Journal of Econometrics, Elsevier, vol. 234(1), pages 28-52.
  • 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.
• Fitzenberger, Bernd & Osikominu, Aderonke & Paul, Marie, 2023. "The effects of training incidence and planned training duration on labor market transitions," Journal of Econometrics, Elsevier, vol. 235(1), pages 256-279.
• Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023. "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
  • 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.
• Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
  • Paul Ho, 2019. "Global Robust Bayesian Analysis in Large Models," 2019 Meeting Papers 390, Society for Economic Dynamics.
  • Paul Ho, 2020. "Global Robust Bayesian Analysis in Large Models," Working Paper 20-07, Federal Reserve Bank of Richmond.
• Gallant, A. Ronald, 2023. "Variance–covariance from a metropolis chain on a curved, singular manifold," Journal of Econometrics, Elsevier, vol. 235(2), pages 843-861.
• Conti, Antonio M. & Nobili, Andrea & Signoretti, Federico M., 2023. "Bank capital requirement shocks: A narrative perspective," European Economic Review, Elsevier, vol. 151(C).
• Miescu, Mirela S., 2023. "Uncertainty shocks in emerging economies: A global to local approach for identification," European Economic Review, Elsevier, vol. 154(C).
• Cardani, Roberta & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2023. "The COVID-19 recession on both sides of the Atlantic: A model-based comparison," European Economic Review, Elsevier, vol. 158(C).
  • Roberta Cardani & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2023. "The COVID-19 Recession on Both Sides of the Atlantic: A Model-Based Comparison," European Economy - Discussion Papers 191, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  • Roberta Cardani & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2023. "The COVID-19 recession on both sides of the Atlantic: A model-based comparison," LIDAM Discussion Papers IRES 2023014, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
• Fuhrer, Adrian & Hock, Thorsten, 2023. "Uncertainty in the Black–Litterman model: Empirical estimation of the equilibrium," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 251-275.
• Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
• Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
• Beechey, Meredith & Österholm, Pär & Poon, Aubrey, 2023. "Estimating the US trend short-term interest rate," Finance Research Letters, Elsevier, vol. 55(PA).
• Chen, Ding & Guo, Biao & Zhou, Guofu, 2023. "Firm fundamentals and the cross-section of implied volatility shapes," Journal of Financial Markets, Elsevier, vol. 63(C).
• Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
  • 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.
• Beckmann, Joscha & Davidson, Sharada Nia & Koop, Gary & Schüssler, Rainer, 2023. "Cross-country uncertainty spillovers: Evidence from international survey data," Journal of International Money and Finance, Elsevier, vol. 130(C).
• Hüpper, Florian & Kempa, Bernd, 2023. "Inflation targeting and inflation communication of the Federal Reserve: Words and deeds," Journal of Macroeconomics, Elsevier, vol. 75(C).
• Meggiorini, Greta, 2023. "Behavioral New Keynesian Models: An empirical assessment," Journal of Macroeconomics, Elsevier, vol. 77(C).
• Bayer, Christian & Born, Benjamin & Luetticke, Ralph, 2023. "The liquidity channel of fiscal policy," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 86-117.
  • Born, Benjamin & Bayer, Christian & Luetticke, Ralph, 2020. "The Liquidity Channel of Fiscal Policy," CEPR Discussion Papers 14883, C.E.P.R. Discussion Papers.
  • 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.
  • Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "The Liquidity Channel of Fiscal Policy," CESifo Working Paper Series 8374, CESifo.
• Nasir, Muhammad Ali & Morgan, Jamie, 2023. "Paradox of stationarity? A policy target dilemma for policymakers," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 142-145.
• Bampinas, Georgios & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2023. "Oil shocks and investor attention," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 68-81.
  • Georgios Bampinas & Theodore Panagiotidis & Georgios Papapanagiotou, 2022. "Oil shocks and investor attention," Working Paper series 22-13, Rimini Centre for Economic Analysis.
• De Silva, Dakshina G. & Hubbard, Timothy P. & Schiller, Anita R. & Tsionas, Mike G., 2023. "Estimating outcomes in the presence of endogeneity and measurement error with an application to R&D," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 278-294.
• Li, Shaoyu & Zhu, Chunhui & Shang, Yuhuang, 2023. "Hedging demand and near-zero swap spreads: Evidence from the Chinese interest rate swap market," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 170-185.
• Koirala, Niraj P. & Nyiwul, Linus, 2023. "Inflation volatility: A Bayesian approach," Research in Economics, Elsevier, vol. 77(1), pages 185-201.
• Beqiraj, Elton & Tancioni, Massimiliano, 2023. "Subsidizing new jobs in the Euro-zone periphery," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 380-401.
• Ballester, Laura & López, Jesúa & Pavía, Jose M., 2023. "European systemic credit risk transmission using Bayesian networks," Research in International Business and Finance, Elsevier, vol. 65(C).
• Jiménez, Alvaro & Rodríguez, Gabriel & Ataurima Arellano, Miguel, 2023. "Time-varying impact of fiscal shocks over GDP growth in Peru: An empirical application using hybrid TVP-VAR-SV models," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 314-332.
  • 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.
• Sakariyahu, Rilwan & Lawal, Rodiat & Etudaiye-Muhtar, Oyebola Fatima & Ajide, Folorunsho Monsuru, 2023. "Reflections on COP27: How do technological innovations and economic freedom affect environmental quality in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
• Miguel Herculano & Punnoose Jacob, 2023. "Financial Condition Indices in an Incomplete Data Environment," CAMA Working Papers 2023-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Roberta Cardani & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2023. "The COVID-19 recession on both sides of the Atlantic: A model-based comparison," LIDAM Discussion Papers IRES 2023014, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  • Roberta Cardani & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2023. "The COVID-19 Recession on Both Sides of the Atlantic: A Model-Based Comparison," European Economy - Discussion Papers 2015 - 191, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
• Theodor Petrik & Martin Plajner, 2023. "Concurrent Business and Distribution Strategy Planning Using Bayesian Networks," Working Papers IES 2023/3, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.
• Evzen Kocenda & Shivendra Rai, 2023. "Drivers of Private Equity Activity across Europe: An East-West Comparison," Working Papers IES 2023/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2023.
• Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
• Atsushi Inoue & `Oscar Jord`a & Guido M. Kuersteiner, 2023. "Significance Bands for Local Projections," Papers 2306.03073, arXiv.org.
  • Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2023. "Significance Bands for Local Projections," Working Paper Series 2023-15, Federal Reserve Bank of San Francisco.
• Jonathan H. Wright, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," Finance and Economics Discussion Series 2023-015, Board of Governors of the Federal Reserve System (U.S.).
• Sushant Acharya & William Chen & Marco Del Negro & Keshav Dogra & Aidan Gleich & Shlok Goyal & Donggyu Lee & Ethan Matlin & Reca Sarfati & Sikata Sengupta, 2023. "Estimating HANK for Central Banks," Staff Reports 1071, Federal Reserve Bank of New York.
• Andrey Polbin & Sergey Sinelnikov-Murylev, 2023. "Developing and impulse response matching estimation of the DSGE model for the Russian economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 182P, pages 1-53.
• Gan-Ochir Doojav & Munkhbayar Gantumur, 2023. "An Estimated Model of a Commodity-Exporting Economy for the Integrated Policy Framework: Evidence from Mongolia," IHEID Working Papers 05-2023, Economics Section, The Graduate Institute of International Studies.
• Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
• 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.
  • Kai Barron & Steffen Huck & Philippe Jehiel, 2023. "Everyday econometricians: Selection neglect and overoptimism when learning from others," PSE Working Papers halshs-04154345, HAL.
  • Kai Barron & Steffen Huck & Philippe Jehiel, 2022. "Everyday econometricians: Selection neglect and overoptimism when learning from others," PSE Working Papers halshs-03735640, HAL.
  • Kai Barron & Steffen Huck & Philippe Jehiel, 2022. "Everyday econometricians: Selection neglect and overoptimism when learning from others," Working Papers halshs-03735640, HAL.
• Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers 2310, Aix-Marseille School of Economics, France.
  • Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach [Working Papers / Documents de travail]," Working Papers hal-04066544, HAL.
• Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
  • Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," Working Papers hal-04093646, HAL.
• Mariia Elkina, 2023. "Financial Frictions in a DSGE Model of Russian Economy," HSE Economic Journal, National Research University Higher School of Economics, vol. 27(2), pages 159-195.
• KANO, Takashi, 2023. "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series HIAS-E-128, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
• Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
  • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2020. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Staff Working Papers 20-45, Bank of Canada.
  • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series 2301, Institute of Economic Research, Korea University.
  • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2022. "Understanding trend inflation through the lens of the goods and services sectors," CAMA Working Papers 2022-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Francisco Gomes Pereira, 2023. "Balance Sheet Expansionary Policies in the Euro Area: Macroeconomic Impacts and a Vulnerable versus Non-Vulnerable Comparison - A Bayesian Structural VAR Approach," Working Papers REM 2023/0259, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2023. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 69-111, January.
  • 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.
• Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023. "Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1637-1664, April.
  • 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.
• Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
• Rouven E. Haschka & Helmut Herwartz & Clara Silva Coelho & Yabibal M. Walle, 2023. "The impact of local financial development and corruption control on firm efficiency in Vietnam: evidence from a geoadditive stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 60(2), pages 203-226, October.
• Renato Frey & Shannon M. Duncan & Elke U. Weber, 2023. "Towards a typology of risk preference: Four risk profiles describe two-thirds of individuals in a large sample of the U.S. population," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 1-17, February.
• Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
• Noémie Berlin & Jan Dul & Marco Gazel & Louis Lévy-Garboua & Todd Lubart, 2023. "Creative Cognition as a Bandit Problem," CIRANO Working Papers 2023s-11, CIRANO.
  • Noémi Berlin & Jan Dul & Marco Gazel & Louis Lévy-Garboua & Todd Lubart, 2023. "Creative Cognition as a Bandit Problem," Documents de travail du Centre d'Economie de la Sorbonne 23002, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
• Gregory de Walque & Thomas Lejeune & Ansgar Rannenberg & Magne Mogstad, 2023. "BEMGIE: Belgian Economy in a Macro General and International Equilibrium model," Working Paper Research 435, National Bank of Belgium.
• Karol Szafranek & Grzegorz Szafrański & Agnieszka Leszczyńska-Paczesna, 2023. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," NBP Working Papers 357, Narodowy Bank Polski.
• Sarah Moshary & Bradley Shapiro & Sara Drango, 2023. "Preferences for Firearms and Their Implications for Regulation," NBER Working Papers 30934, National Bureau of Economic Research, Inc.
• Simon Smith & Allan Timmermann & Jonathan H. Wright, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," NBER Working Papers 31153, National Bureau of Economic Research, Inc.
• Lin William Cong & Guanhao Feng & Jingyu He & Junye Li, 2023. "Sparse Modeling Under Grouped Heterogeneity with an Application to Asset Pricing," NBER Working Papers 31424, National Bureau of Economic Research, Inc.
• Hamid Reza Izadi, 2023. "Measuring the Effects of Risk Aversion Change on Households’ Performance Using Endogenous Discount Factor Model," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 374-383, June.
• Patrick Kline & Evan K Rose & Christopher R Walters, 2023. "Systemic Discrimination Among Large U.S. Employers," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 1963-2036.
• Boonman, Tjeerd, 2023. "Have drivers of portfolio capital flows changed since the Global Financial Crisis?," MPRA Paper 116507, University Library of Munich, Germany.
• Karamanis, Dimitrios & Kechrinioti, Alexandra, 2023. "The Greek-Turkish rivalry: A Bayesian VAR approach," MPRA Paper 116827, University Library of Munich, Germany.
• Alvarez, Luis Antonio, 2023. "Approximate Bayesian Computation for Partially Identified Models," MPRA Paper 117339, University Library of Munich, Germany.
• Bournakis, Ioannis & Tsionas, Mike G., 2023. "A Non-Parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax," MPRA Paper 118100, University Library of Munich, Germany.
• Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2023. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," MPRA Paper 118459, University Library of Munich, Germany.
• Dejan Živkov & Jasmina Đurašković & Sanja Ljubenović, 2023. "Multiscale Interdependence Between Consumer and Producer Prices in Emerging Eastern European Countries," Politická ekonomie, Prague University of Economics and Business, vol. 2023(3), pages 319-341.

2022

• Pablo Garcia, 2022. "Learning, Uncertainty and Monetary Policy," Annals of Economics and Statistics, GENES, issue 145, pages 5-28.
• Christian Gourieroux & Joann Jasiak, 2022. "Long Run Predictions," Annals of Economics and Statistics, GENES, issue 145, pages 75-90.
• Pelin Akyol & James Key & Kala Krishna, 2022. "Hit or Miss? Test Taking Behavior in Multiple Choice Exams," Annals of Economics and Statistics, GENES, issue 147, pages 3-50.
• Jeffrey Mensch, 2022. "Screening Inattentive Buyers," American Economic Review, American Economic Association, vol. 112(6), pages 1949-1984, June.
• Chiara Casoli & Matteo Manera & Daniele Valenti, 2022. "Energy shocks in the Euro area: disentangling the pass-through from oil and gas prices to inflation," Working Papers 2022.45, Fondazione Eni Enrico Mattei.
  • Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2022. "Energy shocks in the Euro area: disentangling the pass-through from oil and gas prices to inflation," FEEM Working Papers 329739, Fondazione Eni Enrico Mattei (FEEM).
• Maryam Ahmadi & Chiara Casoli & Matteo Manera & Daniele Valenti, 2022. "Modelling the effects of climate change on economic growth: a Bayesian Structural Global Vector Autoregressive approach," Working Papers 2022.46, Fondazione Eni Enrico Mattei.
  • Ahmadi, Maryam & Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2022. "Modelling the effects of climate change on economic growth: a Bayesian Structural Global Vector Autoregressive approach," FEEM Working Papers 329740, Fondazione Eni Enrico Mattei (FEEM).
• Yakup Arı, 2022. "TVP-VAR Based CARR-Volatility Connectedness: Evidence from The Russian-Ukraine Conflict," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 7(3), pages 590-607.
• Edwin Fourrier-Nicolai & Michel Lubrano, 2022. "Bayesian inference for non-anonymous Growth Incidence Curves using Bernstein polynomials: an application to academic wage dynamics," AMSE Working Papers 2227, Aix-Marseille School of Economics, France.
• Majda Benzidia & Michel Lubrano & Paolo Melindi-Ghidi, 2016. "Education Politics, Schooling Choice and Public School Quality: The Impact of Income Polarisation," Working Papers halshs-01405622, HAL.
  • Majda Benzidia & Michel Lubrano & Paolo Melindi-Ghidi, 2022. "Education Politics, Schooling Choice and Public School Quality: The Impact of Income Polarisation," AMSE Working Papers 2229, Aix-Marseille School of Economics, France.
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• Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
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• Xin Sheng & Rangan Gupta & Qiang Ji, 2022. "Forecasting charge-off rates with a panel Tobit model: the role of uncertainty," Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 927-931, June.
  • 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.
• Svatopluk Kapounek & Zuzana Kučerová & Evžen Kočenda, 2022. "Selective Attention in Exchange Rate Forecasting," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(2), pages 210-229, May.
  • 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.
  • 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.
• Yiu Lim Lui & Weilin Xiao & Jun Yu, 2022. "The Grid Bootstrap for Continuous Time Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1390-1402, June.
  • Lui, Yiu Lim & Xiao, Weilin & Yu, Jun, 2018. "The Grid Bootstrap for Continuous Time Models," Economics and Statistics Working Papers 20-2018, Singapore Management University, School of Economics.
• Lutz Kilian, 2022. "Comment on Giacomini, Kitagawa, and Read’s “Narrative Restrictions and Proxies”," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1429-1433, October.
  • Lutz Kilian, 2021. "Comment on Giacomini, Kitagawa and Read's 'Narrative Restrictions and Proxies'," Working Papers 2117, Federal Reserve Bank of Dallas.
• Young Min Kim & Seojin Lee, 2022. "Korean exchange rate forecasts using Bayesian variable selection," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 29(4), pages 1045-1062, July.
• Ivan Huljak & Reiner Martin & Diego Moccero & Cosimo Pancaro, 2022. "Do non-performing loans matter for bank lending and the business cycle in euro area countries?," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 1050-1080, December.
  • Huljak, Ivan & Martin, Reiner & Moccero, Diego & Pancaro, Cosimo, 2020. "Do non-performing loans matter for bank lending and the business cycle in euro area countries?," Working Paper Series 2411, European Central Bank.
• Nguyen, BH & Zhang, Bo, 2022. "Forecasting oil Prices: can large BVARs help?," Working Papers 2022-04, University of Tasmania, Tasmanian School of Business and Economics.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman van Dijk, 2022. "A Flexible Predictive Density Combination Model for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers 22-013/III, Tinbergen Institute.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted-average least squares (WALS) estimator," EIEF Working Papers Series 2203, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2022.
  • Giuseppe De Luca & Jan Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted average least squares (WALS) estimator," Tinbergen Institute Discussion Papers 22-022/III, Tinbergen Institute.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2022. "A Flexible Predictive Density Combination for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers 22-053/III, Tinbergen Institute.
• Mike Gilraine & Jiaying Gu & Robert McMillan, 2022. "A Nonparametric Approach for Studying Teacher Impacts," Working Papers tecipa-716, University of Toronto, Department of Economics.
• Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
  • Koenig, Michael & Hsieh, Chih-Sheng & Liu, Xiaodong, 2019. "A Structural Model for the Coevolution of Networks and Behavior," CEPR Discussion Papers 13911, C.E.P.R. Discussion Papers.
• Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "A Model of the Fed's View on Inflation," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 686-704, October.
  • Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2017. "A Model of the Fed’s View on Inflation," Economic Research Papers 269087, University of Warwick - Department of Economics.
  • Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2020. "A Model of the Fed's View on Inflation," Papers 2006.14110, arXiv.org.
  • Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of FED'S view on inflation," Documents de Travail de l'OFCE 2018-03, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Thomas Hasenzagl & Fillipo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of the FED's view on inflation," Working Papers hal-03458456, HAL.
  • 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.
  • Reichlin, Lucrezia & Hasenzagl, Thomas & Pellegrino, Filippo & Ricco, Giovanni, 2018. "A Model of the Fed's View on Inflation," CEPR Discussion Papers 12564, C.E.P.R. Discussion Papers.
  • Thomas Hasenzagl & Fillipo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of the FED's view on inflation," Sciences Po publications 03, Sciences Po.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
  • 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.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," CESifo Working Paper Series 8282, CESifo.
• Décamps, Jean-Paul & Villeneuve, Stéphane, 2022. "Learning about profitability and dynamic cash management," Journal of Economic Theory, Elsevier, vol. 205(C).
  • Jean-Paul Décamps & Stéphane Villeneuve, 2022. "Learning about profitability and dynamic cash management," Post-Print hal-04164661, HAL.
  • Décamps, Jean-Paul & Villeneuve, Stéphane, 2022. "Learning about profitability and dynamic cash management," TSE Working Papers 22-1301, Toulouse School of Economics (TSE).
• Behnam Azhdari & Jean Bonnet & Sébastien Bourdin, 2022. "Towards a Causal Model and Causal Inference of Regional Entrepreneurship Development Index, its antecedents and outcomes in European regions," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2022-06, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
• Tuncer Murathan & Akbulut Nesrin & Turhan Miraç Savaş & Ari Yakup, 2022. "Time-Varying Network Connectedness Between the Organizational Ecology of Transportation and Storage Firms and Macroeconomic Variables," Folia Oeconomica Stetinensia, Sciendo, vol. 22(2), pages 209-223, December.
• Sulejmani Artan & Tevdovski Dragan, 2022. "How the Contagion is Transmitted to the Macedonian Stock Market? an Analysis of Co-Exceedances," South East European Journal of Economics and Business, Sciendo, vol. 17(1), pages 1-13, June.
• Andrzej Kocięcki & Tomasz Łyziak & Ewa Stanisławska, 2022. "Subjective Expectations and Uncertainty," NBP Working Papers 345, Narodowy Bank Polski.
  • Andrzej Kocięcki & Tomasz Łyziak & Ewa Stanisławska, 2022. "Subjective Expectations and Uncertainty," Working Papers 2022-10, Faculty of Economic Sciences, University of Warsaw.
• Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg‐Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Econometrica, Econometric Society, vol. 90(6), pages 2567-2602, November.
  • Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg-Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Working Papers 2022-27, Princeton University. Economics Department..
• Malin Gardberg & Lorenzo Pozzi, 2022. "Aggregate consumption and wealth in the long run: The impact of financial liberalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 161-186, January.
  • 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.
• Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
  • 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.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2022. "An automated prior robustness analysis in Bayesian model comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 583-602, April.
  • Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019. "An automated prior robustness analysis in Bayesian model comparison," CAMA Working Papers 2019-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic forecasting in a multi‐country context," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1230-1255, September.
  • Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic Forecasting in a Multi-country Context," Working Papers 22-02, Federal Reserve Bank of Cleveland.
  • Marcellino, Massimiliano & Bai, Yu & Carriero, Andrea & Clark, Todd, 2022. "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers 16994, C.E.P.R. Discussion Papers.
• Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
  • Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian Estimation of Multivariate Panel Probits with Higher-order Network Interdependence and an Application to Firms' Global Market Participation in Guangdong," Center for Policy Research Working Papers 247, Center for Policy Research, Maxwell School, Syracuse University.
  • Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian Estimation of Multivariate Panel Probits with Higher-Order Network Interdependence and an Application to Firms' Global Market Participation in Guangdong," CESifo Working Paper Series 9579, CESifo.
• Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2022. "Interest rate uncertainty and the predictability of bank revenues," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1559-1569, December.
  • 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.
• Martin Mandler & Michael Scharnagl & Ute Volz, 2022. "Heterogeneity in Euro Area Monetary Policy Transmission: Results from a Large Multicountry BVAR Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 627-649, March.
  • Mandler, Martin & Scharnagl, Michael & Volz, Ute, 2016. "Heterogeneity in euro-area monetary policy transmission: Results from a large multi-country BVAR model," Discussion Papers 03/2016, Deutsche Bundesbank.
  • Scharnagl, Michael & Mandler, Martin & Volz, Ute, 2016. "Heterogeneity in euro area monetary policy transmission: results from a large multi-country BVAR model," VfS Annual Conference 2016 (Augsburg): Demographic Change 145847, Verein für Socialpolitik / German Economic Association.
• Neville Francis & Michael T. Owyang & Daniel Soques, 2022. "Business Cycles across Space and Time," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 921-952, June.
  • 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.
• Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2022. "Estimating a Nonlinear New Keynesian Model with the Zero Lower Bound for Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1637-1671, September.
  • 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.
• Joshua C. C. Chan, 2022. "Asymmetric conjugate priors for large Bayesian VARs," Quantitative Economics, Econometric Society, vol. 13(3), pages 1145-1169, July.
  • Joshua C. C. Chan, 2019. "Asymmetric conjugate priors for large Bayesian VARs," CAMA Working Papers 2019-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Joshua C. C. Chan, 2021. "Asymmetric Conjugate Priors for Large Bayesian VARs," Papers 2111.07170, arXiv.org.
• Jinshun Wu & Taps Maiti, 2022. "A Frequency-Domain Analysis Of Medium-Scale Dsge Models," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 67(06), pages 1951-1986, December.
• Zhang, Chen & Fang, Ying & Niu, Linlin, 2022. "Changing anchor of the renminbi: A Bayesian learning approach to the decade-long transition," Economic Modelling, Elsevier, vol. 116(C).
  • Chen Zhang & Ying Fang & Linlin Niu, 2022. "Changing anchor of the renminbi: A Bayesian learning approach to the decade-long transition," Working Papers 2022-08-24, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
• Nyholm, Juho & Silvo, Aino, 2022. "A model for predicting Finnish household loan stocks," BoF Economics Review 4/2022, Bank of Finland.
• Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.
• Hauber, Philipp, 2022. "Real-time nowcasting with sparse factor models," EconStor Preprints 251551, ZBW - Leibniz Information Centre for Economics.
• Yang, Zheyu, 2022. "Risk-taking and monetary policy," EconStor Preprints 263253, ZBW - Leibniz Information Centre for Economics.
• Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
• Böhl, Gregor, 2022. "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series 177, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Prüser, Jan & Blagov, Boris, 2022. "Improving inference and forecasting in VAR models using cross-sectional information," Ruhr Economic Papers 960, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

2021

• 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, revised Jun 2022.
  • Laura Liu & Mikkel Plagborg-Møller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," Working Papers 2021-68, Princeton University. Economics Department..
  • Laura Liu & Mikkel Plagborg-Møller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," CAEPR Working Papers 2021-001 Classification- , Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
• Matteo Ciccarelli & Fulvia Marotta, 2021. "Demand or Supply? An empirical exploration of the effects of climate change on the macroeconomy," Working Papers 933, Queen Mary University of London, School of Economics and Finance.
• 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.
• Brown, Alexander L. & Imai, Taisuke & Vieider, Ferdinand & Camerer, Colin, 2020. "Meta-Analysis of Empirical Estimates of Loss-Aversion," MetaArXiv hnefr, Center for Open Science.
  • Brown, Alexander L. & Imai, Taisuke & Vieider, Ferdinand M. & Camerer, Colin F., 2021. "Meta-Analysis of Empirical Estimates of Loss-Aversion," Rationality and Competition Discussion Paper Series 275, CRC TRR 190 Rationality and Competition.
  • 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.
• 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.
• Etoundi Atenga, Eric Martial & Abdo, Maman Hassan & Mougoué, Mbodja, 2021. "Financial Frictions and Macroeconomy During Financial Crises: A Bayesian DSGE Assessment," American Business Review, Pompea College of Business, University of New Haven, vol. 24(2), pages 62-99, November.
• Karen Poghosyan & Ruben Poghosyan, 2021. "On the Applicability of Dynamic Factor Models for Forecasting Real GDP Growth in Armenia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(1), pages 52-79, June.
  • 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.
• Alina BOBAŞU & Bogdan MURARAȘU, 2021. "Fiscal and Monetary Policy Interactions in a DSGE Model for the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-21, June.
• Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Identifying Economic Shocks in a Rare Disaster Environment," CEIS Research Paper 517, Tor Vergata University, CEIS, revised 19 Nov 2021.
• 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.
• Tamás Krisztin & Philipp Piribauer, 2021. "Modelling European regional FDI flows using a Bayesian spatial Poisson interaction model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 593-616, December.
  • Tam'as Krisztin & Philipp Piribauer, 2020. "Modeling European regional FDI flows using a Bayesian spatial Poisson interaction model," Papers 2010.14856, arXiv.org.
• 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.
• 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.
  • 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.
  • 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).
• 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.
  • Li, Yushu & Andersson, Fredrik N. G., 2013. "A Simple Wavelet-Based Test for Serial Correlation in Panel Data Models," Working Papers 2013:39, Lund University, Department of Economics.
  • Li, Yushu & Andersson, Fredrik N. G., 2014. "A simple wavelet-based test for serial correlation in panel data models," Discussion Papers 2014/11, Norwegian School of Economics, Department of Business and Management Science.
• Tamás Krisztin & Philipp Piribauer, 2021. "A Bayesian spatial autoregressive logit model with an empirical application to European regional FDI flows," Empirical Economics, Springer, vol. 61(1), pages 231-257, July.
  • Tamás Krisztin & Philipp Piribauer, 2021. "A Bayesian Spatial Autoregressive Logit Model With An Empirical Application to European Regional FDI Flows," WIFO Working Papers 586, WIFO.
• Nima Nonejad, 2021. "Using the conditional volatility channel to improve the accuracy of aggregate equity return predictions," Empirical Economics, Springer, vol. 61(2), pages 973-1009, August.
• Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2021. "Heterogeneity in food expenditure among US families: evidence from longitudinal quantile regression," Indian Economic Review, Springer, vol. 56(1), pages 25-48, June.
  • Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2020. "Heterogeneity in Food Expenditure amongst US families: Evidence from Longitudinal Quantile Regression," Papers 2010.02614, arXiv.org.
• Olumuyiwa Tolulope Apanisile, 2021. "Remittances, financial development and the effectiveness of monetary policy transmission mechanism in Nigeria: a DSGE approach (1986–2018)," Indian Economic Review, Springer, vol. 56(1), pages 91-112, June.
• 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.
• Anoop Chaturvedi & Shalabh & Sandeep Mishra, 2021. "Generalized Bayes Estimator for Spatial Durbin Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 267-285, December.
• Márcio P. Laurini & Pedro Chaim, 2021. "Brazilian stock market bubble in the 2010s," SN Business & Economics, Springer, vol. 1(1), pages 1-19, January.
• Griselda Dávila-Aragón & Salvador Rivas-Aceves & Héctor X. Ramírez-Pérez, 2021. "Survival Likelihood of Micro and Small Businesses Facing a Catastrophe," Springer Books, in: Griselda Dávila-Aragón & Salvador Rivas-Aceves (ed.), The Future of Companies in the Face of a New Reality, pages 17-36, Springer.
• Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2021. "Is there a euro effect in the drivers of US FDI? New evidence using Bayesian model averaging techniques," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(4), pages 881-926, November.
  • 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).
• Simona Hašková & Petr Šuleř & Tomáš Krulický, 2021. "Advantages of fuzzy approach compared to probabilistic approach in project evaluation," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(2), pages 446-456, December.
• Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Fiscal policy shocks and stock prices in the United States," European Economic Review, Elsevier, vol. 129(C).
  • Haroon Mumtaz & Konstantinos Theodoridis, 2017. "Fiscal policy shocks and stock prices in the United States," Working Papers 178117307, Lancaster University Management School, Economics Department.
  • Haroon Mumtaz & Konstantinos Theodoridis, 2021. "Fiscal policy shocks and stock prices in the United States," Working Papers 48, European Stability Mechanism.
  • Haroon Mumtaz & Konstantinos Theodoridis, 2017. "Fiscal Policy Shocks and Stock Prices in the United States," Working Papers 817, Queen Mary University of London, School of Economics and Finance.
  • Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Fiscal Policy Shocks and Stock Prices in the United State," Cardiff Economics Working Papers E2018/20, Cardiff University, Cardiff Business School, Economics Section.
• Martin Iseringhausen, 2021. "A time-varying skewness model for Growth-at-Risk," Working Papers 49, European Stability Mechanism.
• N. Abilov, 2021. "A Medium-Scale Bayesian DSGE Model for Kazakhstan with Incomplete Exchange Rate Pass-Through," International Economic Journal, Taylor & Francis Journals, vol. 35(4), pages 486-522, October.
  • Nurdaulet Abilov, 2020. "A medium-scale Bayesian DSGE model for Kazakhstan with incomplete exchange rate pass-through," NAC Analytica Working Paper 7, NAC Analytica, Nazarbayev University, revised Apr 2021.
• Jean-Pierre Florens & Anna Simoni, 2021. "Gaussian Processes and Bayesian Moment Estimation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 482-492, March.
  • 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.
• 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.
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• Prishchepov, Alexander & Ponkina, Elena & Sun, Zhanli & Bavorova, Miroslava & Yekimovskaja, Olga, 2021. "Исследование Поведенческих Факторов Сельхозпроизводителей По Вовлечению В Оборот Заброшенных Сельскохозяйственных Земель: Пример Республики Бурятия [Study of farmer’s behavior in recultivation of a," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 59-102.
• Hauber, Philipp, 2021. "How useful is external information from professional forecasters? Conditional forecasts in large factor models," EconStor Preprints 251469, ZBW - Leibniz Information Centre for Economics.
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• Jean-Pierre Florens & Anna Simoni, 2021. "Revisiting Identification Concepts in Bayesian Analysis," Annals of Economics and Statistics, GENES, issue 144, pages 1-38.
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• Jean-Pierre Florens & Anna Simoni, 2021. "Revisiting Identification Concepts in Bayesian Analysis," Annals of Economics and Statistics, GENES, issue 144, pages 1-38.
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• Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," NBER Working Papers 29508, National Bureau of Economic Research, Inc.
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• Michel Lubrano & Zhou Xun, 2021. "The Bayesian approach to poverty measurement," AMSE Working Papers 2133, Aix-Marseille School of Economics, France.
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• 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.
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  • Fateh BELAID & Christophe RAULT, 2021. "Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach," LEO Working Papers / DR LEO 2893, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
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  • 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).
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• Patrick Kline & Evan K Rose & Christopher R Walters, 2023. "Systemic Discrimination Among Large U.S. Employers," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 1963-2036.
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• Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312, Cowles Foundation for Research in Economics, Yale University.
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• Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Demand Estimation with Infrequent Purchases and Small Market Sizes," NBER Working Papers 29530, National Bureau of Economic Research, Inc.
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• Sanyal, Anirban & Singh, Nirvikar, 2021. "Structural Change and Economic Growth: Patterns and Heterogeneity among Indian States and Implications for a Post-COVID Recovery," India Policy Forum, National Council of Applied Economic Research, vol. 17(1), pages 143-198.
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• Kenji Hatakenaka & Kosuke Oya, 2021. "Bayesian inference for time varying partial adjustment model with application to intraday price discovery," Discussion Papers in Economics and Business 21-19, Osaka University, Graduate School of Economics.
• Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2021. "Online estimation of DSGE models," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 33-58.
  • 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 P. 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 P. 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 P. 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.).
• John M Maheu & Azam Shamsi Zamenjani, 2021. "Nonparametric Dynamic Conditional Beta," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 19(4), pages 583-613.
  • Maheu, John M & Shamsi, Azam, 2016. "Nonparametric Dynamic Conditional Beta," MPRA Paper 73764, University Library of Munich, Germany.
• Jim Griffin & Jia Liu & John M. Maheu, 2021. "Bayesian Nonparametric Estimation of Ex Post Variance [Out of Sample Forecasts of Quadratic Variation]," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 19(5), pages 823-859.
  • Griffin, Jim & Liu, Jia & Maheu, John M, 2016. "Bayesian Nonparametric Estimation of Ex-post Variance," MPRA Paper 71220, University Library of Munich, Germany.
• Christopher C Geczy & Robert F Stambaugh & David Levin, 2021. "Investing in Socially Responsible Mutual Funds [Should investors avoid all actively managed mutual funds? A study in Bayesian performance evaluation]," The Review of Asset Pricing Studies, Oxford University Press, vol. 11(2), pages 309-351.
• Simon C Smith & Allan Timmermann & Stijn Van Nieuwerburgh, 2021. "Break Risk [Maximum likelihood estimation of the equity premium]," Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 2045-2100.
• Carlos A. Abanto-Valle & Gabriel Rodríguez & Luis M. Castro Cepero & Hernán B. Garrafa-Aragón, 2021. "Approximate Bayesian Estimation of Stochastic Volatility in Mean Models using Hidden Markov Models: Empirical Evidence from Stock Latin American Markets," Documentos de Trabajo / Working Papers 2021-502, Departamento de Economía - Pontificia Universidad Católica del Perú.
• 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.
• Koffi, Siméon, 2021. "Analyse de la politique budgétaire en Côte d’ivoire à partir d’une estimation Bayésienne d’un modèle d'Equilibre Général Dynamique Stochastique (DSGE) [Analysis of fiscal policy in Côte d’Ivoire us," MPRA Paper 108751, University Library of Munich, Germany.
• Abreha, Fasika Molla & Salmasi, Luca & Ianuale, Nicola & Pegoraro, Enrico, 2021. "A Bayesian Cost-effectiveness analysis of Holobalance, Holograms for personalized virtual coaching and motivation in an ageing population with balance disorders," MPRA Paper 109301, University Library of Munich, Germany.
• Doojav, Gan-Ochir, 2021. "Macroeconomic modeling for optimal stabilization policy in Mongolia," MPRA Paper 111206, University Library of Munich, Germany.
• Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
  • Korobilis, Dimitris & Shimizu, Kenichi, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper 111631, University Library of Munich, Germany.
  • Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
• Timothy B. Armstrong & Michal Koles'ar & Mikkel Plagborg-M{o}ller, 2020. "Robust Empirical Bayes Confidence Intervals," Papers 2004.03448, arXiv.org, revised May 2022.
  • Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg-Møller, 2021. "Robust Empirical Bayes Confidence Intervals," Working Papers 2021-19, Princeton University. Economics Department..

2020

• Sylvia Blom & Ariel Ortiz-Bobea & John Hoddinott, 2019. "Working Paper 315 - Temperature and Children’s Nutrition: Evidence from West Africa," Working Paper Series 2441, African Development Bank.
• Andinet Woldemichael, 2020. "Working Paper 332 - The Impacts of Community-Based Health Insurance on Poverty Reduction," Working Paper Series 2458, African Development Bank.
• 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. Jan Johannes & Dr. Anna Simoni & Dr. Schenk, 2020. "Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models," Post-Print hal-02903256, HAL.
• Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
• 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.
  • 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.
• Sultan RAMAZANOV & Ludmila STEMPLEWSKA, 2020. "Decision-making in conditions of dilemma: risks and mixed information uncertainty," Access Journal, Access Press Publishing House, vol. 1(2), pages 112-121, September.
• Alisher Tolepbergen, 2022. "The role of labor market structure and shocks for monetary policy in Kazakhstan," International Journal of Economic Policy Studies, Springer, vol. 16(1), pages 179-210, February.
  • Alisher Tolepbergen, 2020. "The role of labor market structure and shocks for monetary policy in Kazakhstan," NAC Analytica Working Paper 10, NAC Analytica, Nazarbayev University, revised Jan 2021.
• Erlan Konebayev, 2020. "Estimation of a Small Open Economy DSGE Model for Kazakhstan," NAC Analytica Working Paper 6, NAC Analytica, Nazarbayev University.
• N. Abilov, 2021. "A Medium-Scale Bayesian DSGE Model for Kazakhstan with Incomplete Exchange Rate Pass-Through," International Economic Journal, Taylor & Francis Journals, vol. 35(4), pages 486-522, October.
  • Nurdaulet Abilov, 2020. "A medium-scale Bayesian DSGE model for Kazakhstan with incomplete exchange rate pass-through," NAC Analytica Working Paper 7, NAC Analytica, Nazarbayev University, revised Apr 2021.
• Nurdaulet Abilov, 2020. "The role of banking and credit in business cycle fluctuations in Kazakhstan," NAC Analytica Working Paper 8, NAC Analytica, Nazarbayev University, revised Jan 2021.
• Орлов К.В. // Orlov K.V. & Жузбаев А.М. // Zhuzbayev A.M. & Мекенбаева К.Б. // Mekenbayeva K.B. & Самат М.Н. // Samat M.N. & Букенов А.Е. // Bukenov A.E. & Сейдахметов А.Н. // Seidakhmetov A.N., 2020. "Обзорная статья по Динамическим стохастическим моделям общего равновесия (DSGE) // Review on DSGE models," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 4, pages 4-40.
• Haykaz Igityan, 2016. "Migration in the Estimated New Keynesian DSGE Model for Armenia and Russia," Working Papers 6, Central Bank of the Republic of Armenia.
• Haykaz Igityan & Hovhannes Manukyan, 2020. "Fitting Armenian Data to the Simple DSGE Model with Permanent Productivity Growth," Working Papers 14, Central Bank of the Republic of Armenia.
• 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," CIRANO Working Papers 2020s-08, CIRANO.
  • 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).
• Timothy B. Armstrong & Michal Koles'ar & Mikkel Plagborg-M{o}ller, 2020. "Robust Empirical Bayes Confidence Intervals," Papers 2004.03448, arXiv.org, revised May 2022.
• 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.
• 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.
• Niko Hauzenberger & Florian Huber & Gary Koop, "undated". "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Working Papers 2305, University of Strathclyde Business School, Department of Economics.
  • Niko Hauzenberger & Florian Huber & Gary Koop, 2020. "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Papers 2005.03906, arXiv.org, revised May 2023.
• 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.
  • Navin Kartik & Frances Lee & Wing Suen, 2020. "Information Validates the Prior: A Theorem on Bayesian Updating and Applications," Papers 2005.05714, arXiv.org, revised Jul 2020.
• Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "A Model of the Fed's View on Inflation," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 686-704, October.
  • 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.
  • Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2020. "A Model of the Fed's View on Inflation," Papers 2006.14110, arXiv.org.
  • Thomas Hasenzagl & Fillipo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of the FED's view on inflation," Working Papers hal-03458456, HAL.
  • Reichlin, Lucrezia & Hasenzagl, Thomas & Pellegrino, Filippo & Ricco, Giovanni, 2018. "A Model of the Fed's View on Inflation," CEPR Discussion Papers 12564, C.E.P.R. Discussion Papers.
  • Thomas Hasenzagl & Fillipo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of the FED's view on inflation," Sciences Po publications 03, Sciences Po.
  • Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of FED'S view on inflation," Documents de Travail de l'OFCE 2018-03, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2017. "A Model of the Fed’s View on Inflation," Economic Research Papers 269087, University of Warwick - Department of Economics.
• 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.
  • Ruben Loaiza-Maya & Didier Nibbering, 2020. "Scalable Bayesian estimation in the multinomial probit model," Papers 2007.13247, arXiv.org, revised Mar 2021.
• Foroni, Claudia & Ravazzolo, Francesco & Rossini, Luca, 2023. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Economic Modelling, Elsevier, vol. 120(C).
  • Claudia Foroni & Francesco Ravazzolo & Luca Rossini, 2020. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Papers 2007.13566, arXiv.org, revised Dec 2022.
• Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Journal of Econometrics, Elsevier, vol. 232(1), pages 52-69.
  • 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.
  • 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.
• Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2021. "Heterogeneity in food expenditure among US families: evidence from longitudinal quantile regression," Indian Economic Review, Springer, vol. 56(1), pages 25-48, June.
  • Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2020. "Heterogeneity in Food Expenditure amongst US families: Evidence from Longitudinal Quantile Regression," Papers 2010.02614, arXiv.org.
• Tamás Krisztin & Philipp Piribauer, 2021. "Modelling European regional FDI flows using a Bayesian spatial Poisson interaction model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 593-616, December.
  • Tam'as Krisztin & Philipp Piribauer, 2020. "Modeling European regional FDI flows using a Bayesian spatial Poisson interaction model," Papers 2010.14856, arXiv.org.
• David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
  • Bhattacharjee, Arnab & Kohns, David, 2022. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," National Institute of Economic and Social Research (NIESR) Discussion Papers 538, National Institute of Economic and Social Research.
• 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.
  • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
• Maheu, John M. & McCurdy, Thomas H. & Song, Yong, 2021. "Bull and bear markets during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 42(C).
  • 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.
  • John M. Maheu & Thomas H. McCurdy & Yong Song, 2020. "Bull and Bear Markets During the COVID-19 Pandemic," Papers 2012.01623, arXiv.org.
• 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".
• 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.
• Daniel Fehrle & Christopher Heiberger & Johannes Huber, 2020. "Polynomial chaos expansion: Efficient evaluation and estimation of computational models," Working Papers 202, Bavarian Graduate Program in Economics (BGPE).
  • 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.
• 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.
  • Daniel Fehrle & Christopher Heiberger & Johannes Huber, 2020. "Polynomial chaos expansion: Efficient evaluation and estimation of computational models," Working Papers 202, Bavarian Graduate Program in Economics (BGPE).
• 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.
• Ferreira, Leonardo N., 2022. "Forward guidance matters: Disentangling monetary policy shocks," Journal of Macroeconomics, Elsevier, vol. 73(C).
  • Leonardo N. Ferreira, 2020. "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers 912, 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.
• 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.
  • Joshua D. Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," Working Papers 2020-186, Becker Friedman Institute for Research In Economics.
• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2023. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 355-387, July.
  • 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," Working Papers 1158, Barcelona School of Economics.
  • 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, revised Jul 2021.
  • Rossi, Barbara & Sekhposyan, Tatevik & Hoesch, Lukas, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," CEPR Discussion Papers 14456, C.E.P.R. Discussion Papers.
• Michael Creel, 2020. "Inference Using Simulated Neural Moments," Working Papers 1182, Barcelona School of Economics.
• Fatma Zeren & Veli Yilanci, 2020. "Analysing Spatial Patterns of the COVID-19 Outbreak in Turkey," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 4(2), pages 27-40, December.
• Dejan Živkov & Jelena Kovačević & Nataša Papić-Blagojević, 2020. "Measuring the effects of inflation and inflation uncertainty on output growth in the central and eastern European countries," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 20(2), pages 218-242.
• Ramis Khbaibullin & Sergei Seleznev, 2020. "Stochastic Gradient Variational Bayes and Normalizing Flows for Estimating Macroeconomic Models," Bank of Russia Working Paper Series wps61, Bank of Russia.
• 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, 2022. "An empirical behavioral model of household’s deposit dollarization," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 827-847, July.
  • Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
• Hilde C. Bj⊘rnland & Leif Anders Thorsrud & Sepideh Khayati Zahiri, 2020. "Do Central Banks Respond Timely to Developments in the Global Economy?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 285-310, April.
  • Hilde C. Bj�rnland & Leif Anders Thorsrud & Sepideh K. Zahiri, 2016. "Do central banks respond timely to developments in the global economy?," Working Papers No 8/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Hilde C. Bjornland & Leif Anders Thorsrud & Sepideh Khayati Zahiri, 2017. "Do central banks respond timely to developments in the global economy?," CAMA Working Papers 2017-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Hilde C. Bjørnland & Leif Anders Thorsrud & Sepideh Khayati Zahiri, 2016. "Do central banks respond timely to developments in the global economy?," Working Paper 2016/19, Norges Bank.
• Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," Working Papers No 10/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
  • Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," CESifo Working Paper Series 8788, CESifo.
• 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.
  • Bo Zhang & Jamie Cross & Na Guo, 2020. "Time-Varying Trend Models for Forecasting Inflation in Australia," Working Papers No 09/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
• Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
  • Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," Working Papers No 10/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," CESifo Working Paper Series 8788, CESifo.
• Gauthier, David, 2020. "Financial stress and the debt structure," Bank of England working papers 875, Bank of England.
• 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 19-14, 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.
• Byungsoo Koo, 2020. "Estimation of the Korean Yield Curve via Bayesian Variable Selection (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 26(1), pages 84-132, March.
• Gregor Boehl & Felix Strobel, 2020. "US Business Cycle Dynamics at the Zero Lower Bound," CRC TR 224 Discussion Paper Series crctr224_2020_192, University of Bonn and University of Mannheim, Germany.
• 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.
• Dorofeenko Victor & Lee Gabriel & Salyer Kevin & Strobel Johannes, 2020. "Risk shocks with time-varying higher moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
• 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 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.
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• Zhou, Wei & O'Neill, Eoghan & Moncaster, Alice & Reiner, David M. & Guthrie, Peter, 2020. "Forecasting urban residential stock turnover dynamics using system dynamics and Bayesian model averaging," Applied Energy, Elsevier, vol. 275(C).
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• 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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• Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
• Christian Bayer & Ralph Luetticke, 2019. "Shocks, Frictions, and Inequality in US Business Cycles," 2019 Meeting Papers 256, Society for Economic Dynamics.
  • Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "Shocks, Frictions, and Inequality in US Business Cycles," CESifo Working Paper Series 8085, CESifo.
  • Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "Shocks, Frictions, and Inequality in US Business Cycles," Discussion Papers 2003, Centre for Macroeconomics (CFM).
  • 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.
• 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, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
  • Baumeister, Christiane & Korobilis, Dimitris & Lee, Thomas K., 2020. "Energy Markets and Global Economic Conditions," CEPR Discussion Papers 14580, C.E.P.R. Discussion Papers.
  • 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," NBER Working Papers 27001, National Bureau of Economic Research, Inc.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," Working Papers 2020_08, Business School - Economics, University of Glasgow.
• Bayer, Christian & Born, Benjamin & Luetticke, Ralph, 2023. "The liquidity channel of fiscal policy," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 86-117.
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  • 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.
  • 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.
• 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).
  • 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.
  • Proto, Eugenio & Becker, Christoph & Melkonyan, Tigran & Sofianos, Andis & Trautmann, Stefan, 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," CEPR Discussion Papers 15477, C.E.P.R. Discussion Papers.
• Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate risk and commodity currencies," Working Paper 2020/18, Norges Bank.
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• 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, July.
• Christian Bayer & Ralph Luetticke, 2019. "Shocks, Frictions, and Inequality in US Business Cycles," 2019 Meeting Papers 256, Society for Economic Dynamics.
  • 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.
  • 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.
• Marek A. Dabrowski & Justyna Wróblewska, 2020. "Insulating property of the flexible exchange rate regime: A case of Central and Eastern European countries," International Economics, CEPII research center, issue 162, pages 34-49.
• Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2022. "Robust Dynamic Panel Data Models Usingε-Contamination," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 307-336, Emerald Group Publishing Limited.
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• 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.
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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).
  • 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 & Lacroix, Guy, 2020. "Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU," IZA Discussion Papers 13099, Institute of Labor Economics (IZA).
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• Audzei, Volha & Brůha, Jan, 2022. "A model of the Euro area, China, and the United States: Trade links and trade wars," Economic Modelling, Elsevier, vol. 111(C).
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• Jose Miguel Tirado-Beltrán & José David Cabedo & Dennis Esther Muñoz-Ramírez, 2020. "Divulgación de información sobre riesgos y coste de los recursos propios: un enfoque bayesiano," Revista CEA, Instituto Tecnológico Metropolitano, vol. 6(11), pages 25-43, January.
• Rodríguez, Aldo, 2020. "Estimación Bayesiana de un Modelo de Economía Abierta con Sector Bancario," Dynare Working Papers 52, CEPREMAP.
• 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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• Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.
• Aliaga Miranda, Augusto, 2020. "Monetary policy rules for an open economy with financial frictions: A Bayesian approach," Dynare Working Papers 62, CEPREMAP.
• 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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  • Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "Shocks, Frictions, and Inequality in US Business Cycles," Discussion Papers 2003, Centre for Macroeconomics (CFM).
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• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2023. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 355-387, July.
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• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," Working Papers 2020_08, Business School - Economics, University of Glasgow.
  • Baumeister, Christiane & Korobilis, Dimitris & Lee, Thomas K., 2020. "Energy Markets and Global Economic Conditions," CEPR Discussion Papers 14580, C.E.P.R. Discussion Papers.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," NBER Working Papers 27001, National Bureau of Economic Research, Inc.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," CESifo Working Paper Series 8282, CESifo.
• Baumeister, Christiane & Hamilton, James, 2020. "Advances in Structural Vector Autoregressions with Imperfect Identifying Information," CEPR Discussion Papers 14603, C.E.P.R. Discussion Papers.
• Schorfheide, Frank & Liu, Laura & Moon, Hyungsik Roger, 2020. "Panel Forecasts of Country-Level Covid-19 Infectionsliu," CEPR Discussion Papers 14790, C.E.P.R. Discussion Papers.
• Bayer, Christian & Born, Benjamin & Luetticke, Ralph, 2023. "The liquidity channel of fiscal policy," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 86-117.
  • Christian Bayer & Benjamin Born & Ralph Luetticke, 2020. "The Liquidity Channel of Fiscal Policy," CESifo Working Paper Series 8374, CESifo.
  • Born, Benjamin & Bayer, Christian & Luetticke, Ralph, 2020. "The Liquidity Channel of Fiscal Policy," CEPR Discussion Papers 14883, C.E.P.R. Discussion Papers.
  • 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.
• Luetticke, Ralph & Lee, Seungcheol & Ravn, Morten, 2020. "Financial Frictions: Macro vs Micro Volatility," CEPR Discussion Papers 15133, C.E.P.R. Discussion Papers.
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• Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
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• 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.
  • Proto, Eugenio & Becker, Christoph & Melkonyan, Tigran & Sofianos, Andis & Trautmann, Stefan, 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," CEPR Discussion Papers 15477, C.E.P.R. Discussion Papers.
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• Mauricio Beltrán Pascual & Francisco Javier Martínez de Pisón Ascacíbar & uan Antonio Vicente Vírseda, 2020. "Tratamiento de clases desbalanceadas con el método del cubo en problemas de credit scoring a través de la minería de datos," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 43(122), pages 175-190, Mayo.
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• Stephanie Ettmeier & Alexander Kriwoluzky, 2020. "Active, or Passive? Revisiting the Role of Fiscal Policy in the Great Inflation," Discussion Papers of DIW Berlin 1872, DIW Berlin, German Institute for Economic Research.
• 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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• Masako Ikefuji & Jan R. Magnus, 2020. "The perception of climate sensitivity: Revealing priors from posteriors," Tinbergen Institute Discussion Papers 20-046/III, Tinbergen Institute.
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• Arrigoni, Simone & Bobasu, Alina & Venditti, Fabrizio, 2020. "The simpler the better: measuring financial conditions for monetary policy and financial stability," Working Paper Series 2451, European Central Bank.
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• Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
  • Lenza, Michele & Primiceri, Giorgio E., 2020. "How to estimate a VAR after March 2020," Working Paper Series 2461, European Central Bank.
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• Chalmovianský, Jakub & Porqueddu, Mario & Sokol, Andrej, 2020. "Weigh(t)ing the basket: aggregate and component-based inflation forecasts for the euro area," Working Paper Series 2501, European Central Bank.
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• Remzi Baris Tercioglu, 2020. "A sectoral approach to measuring output gap: Evidence from 20 US sectors over 1948-2019," Working Papers 2012, New School for Social Research, Department of Economics, revised Jun 2021.
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• Adrien Papuchon, 2020. "Have Young Adults’ Opinions on the Social Role of the State Changed since the 2008 Economic Crisis?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 514-515-5, pages 175-198.
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• Paulo Chahuara, 2020. "Análisis Empírico de la Relación entre Competencia e Inversión en el Servicio de Telefonía Móvil Peruano," Documentos de Trabajo 42, OSIPTEL.
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• 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.
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• 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.
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• Monokroussos, George & Zhao, Yongchen, 2020. "Nowcasting in real time using popularity priors," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1173-1180.
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• 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.
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• 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.
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  • 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.
• Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020. "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 645-652, August.
  • Blazejowski, Marcin & Kufel, Paweł & Kwiatkowski, Jacek, 2018. "Model simplification and variable selection: A Replication of the UK inflation model by Hendry (2001)," MPRA Paper 88745, University Library of Munich, Germany.
• 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.
  • Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2018-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • 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.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2020. "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 934-943, September.
  • Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019. "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," CAMA Working Papers 2019-46, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Drew D. Creal & Jing Cynthia Wu, 2020. "Bond risk premia in consumption‐based models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1461-1484, November.
  • Drew D. Creal & Jing Cynthia Wu, 2016. "Bond Risk Premia in Consumption-based Models," NBER Working Papers 22183, National Bureau of Economic Research, Inc.
• 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.
  • Elmar Mertens & James M Nason, 2015. "Inflation and Professional Forecast Dynamics: An Evaluation of Stickiness, Persistence, and Volatility," CAMA Working Papers 2015-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Elmar Mertens & James M. Nason, 2018. "Inflation and professional forecast dynamics: an evaluation of stickiness, persistence, and volatility," BIS Working Papers 713, Bank for International Settlements.
  • Elmar Mertens & James M. Nason, 2017. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," CAMA Working Papers 2017-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Joshua C. Hall & Donald J. Lacombe & Shree B. Pokharel, 2020. "State Exit Exams and Graduation Rates: A Hierarchical SLX Modelling Approach," Working Papers 20-05, Department of Economics, West Virginia University.
• Milan Deskar-Škrbić & Ana Grdović Gnip & Hrvoje Šimović, 2020. "Makroekonomski učinci diskrecijskih izmjena u sustavu poreza na dodanu vrijednost (PDV) u Hrvatskoj: narativni pristup," EFZG Working Papers Series 2002, Faculty of Economics and Business, University of Zagreb.
• Andrea Lučić, 2020. "Utjecaj perciprianog pritiska interesno-utjecajnih skupina na elemente održive marketinške orijentacije hrvatskih poduzeća," EFZG Working Papers Series 2004, Faculty of Economics and Business, University of Zagreb.
• Thomas Lubik & Christian Matthes & Elmar Mertens, 2023. "Indeterminacy and Imperfect Information," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 37-57, July.
  • Elmar Mertens & Christian Matthes & Thomas Lubik, 2017. "Indeterminacy and Imperfect Information," 2017 Meeting Papers 337, Society for Economic Dynamics.
  • Lubik, Thomas A. & Matthes, Christian & Mertens, Elmar, 2020. "Indeterminacy and imperfect information," Discussion Papers 01/2020, Deutsche Bundesbank.
  • Thomas A. Lubik & Christian Matthes & Elmar Mertens, 2019. "Indeterminacy and Imperfect Information," Working Paper 19-17, Federal Reserve Bank of Richmond.
• Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
• 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.
  • Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
• Böhl, Gregor & Strobel, Felix, 2020. "US business cycle dynamics at the zero lower bound," Discussion Papers 65/2020, Deutsche Bundesbank.
• 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 and Book Chapters, 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?," 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.
• 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.
• Martínez-Hernández, Catalina, 2020. "Disentangling the effects of multidimensional monetary policy on inflation and inflation expectations in the euro area," Discussion Papers 2020/18, Free University Berlin, School of Business & Economics.
• 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.
  • Ettmeier, Stephanie & Kriwoluzky, Alexander, 2020. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," Working Papers 17, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
• 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.
• Kaeding, Matthias, 2020. "Efficient Bayesian nonparametric hazard regression," Ruhr Economic Papers 850, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Prüser, Jan & Schmidt, Torsten, 2020. "Regional composition of national house price cycles in the US," Ruhr Economic Papers 853, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
  • 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.
• 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.
  • Brand, Claus & Goy, Gavin & Lemke, Wolfgang, 2021. "Natural rate chimera and bond pricing reality," Working Paper Series 2612, European Central Bank.
• 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 and Book Chapters, 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, 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, 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, 2018. "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," MPRA Paper 84742, University Library of Munich, Germany.

2019

• 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 Finanzas, 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 and Book Chapters, 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.
• Francesco Bianchi & Howard Kung & Mikhail Tirskikh, 2018. "The Origins and Effects of Macroeconomic Uncertainty," NBER Working Papers 25386, National Bureau of Economic Research, Inc.
  • Francesco Bianchi & Howard Kung & Mikhail Tirskikh, 2019. "The Origins and Effects of Macroeconomic Uncertainty," 2019 Meeting Papers 245, Society for Economic Dynamics.
  • Bianchi, Francesco & Kung, Howard & Tirskikh, Mikhail, 2019. "The Origins and Effects of Macroeconomic Uncertainty," CEPR Discussion Papers 13450, C.E.P.R. Discussion Papers.
• 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.
• Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
  • Paul Ho, 2019. "Global Robust Bayesian Analysis in Large Models," 2019 Meeting Papers 390, Society for Economic Dynamics.
  • Paul Ho, 2020. "Global Robust Bayesian Analysis in Large Models," Working Paper 20-07, Federal Reserve Bank of Richmond.
• Renato Faccini & Leonardo Melosi, 2022. "Pigouvian Cycles," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 281-318, April.
  • Melosi, Leonardo & Faccini, Renato, 2018. "Pigouvian Cycles," CEPR Discussion Papers 13370, C.E.P.R. Discussion Papers.
  • Renato Faccini & Leonardo Melosi, 2019. "Pigouvian Cycles," 2019 Meeting Papers 977, Society for Economic Dynamics.
• 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 12323, Banco de la Republica.
  • 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, 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.
• 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.
• Florian Huber & Gary Koop & Luca Onorante, 2021. "Inducing Sparsity and Shrinkage in Time-Varying Parameter Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 669-683, July.
  • Huber, Florian & Koop, Gary & Onorante, Luca, 2019. "Inducing sparsity and shrinkage in time-varying parameter models," Working Paper Series 2325, European Central Bank.
  • 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.
  • Florian Huber & Gary Koop & Luca Onorante, 2019. "Inducing Sparsity and Shrinkage in Time-Varying Parameter Models," Papers 1905.10787, arXiv.org, revised Dec 2019.
• Michael Pfarrhofer, 2019. "Measuring international uncertainty using global vector autoregressions with drifting parameters," Papers 1908.06325, arXiv.org, revised Dec 2019.
  • 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, 2023. "Improved marginal likelihood estimation via power posteriors and importance sampling," Journal of Econometrics, Elsevier, vol. 234(1), pages 28-52.
  • 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.
• Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
  • 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.
  • 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.
• 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," 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.
  • Saroj Bhattarai & Arpita Chatterjee & Woong Yong Park, 2017. "Global Spillover Effects of US Uncertainty," Globalization Institute Working Papers 331, Federal Reserve Bank of Dallas.
• 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 in the Euro Area crisis: This time was different," Sciences Po publications info:hdl:2441/4u5amfvji89, Sciences Po.
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," Post-Print hal-03403613, HAL.
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis: this time was different," Sciences Po publications 11, Sciences Po.
  • Reichlin, Lucrezia & Caruso, Alberto & 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," SciencePo Working papers Main hal-03403269, HAL.
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," SciencePo Working papers Main hal-03403613, HAL.
  • Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis: this time was different," Working Papers hal-03403269, HAL.
• 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.
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