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. Bayesian Vector autoregressions (BVARs)

2024

• Pauline Castaing & Jules Gazeaud, 2024, "Do Index Insurance Programs Live Up to Their Promises? Aggregating Evidence from Multiple Experiments," Post-Print, HAL, number hal-04783596, Mar.
• Kai Barron & Steffen Huck & Philippe Jehiel, 2024, "Everyday Econometricians: Selection Neglect and Overoptimism When Learning from Others," Post-Print, HAL, number halshs-04811339, Aug, DOI: 10.1257/mic.20200030.
• Kai Barron & Steffen Huck & Philippe Jehiel, 2024, "Everyday Econometricians: Selection Neglect and Overoptimism When Learning from Others," PSE-Ecole d'économie de Paris (Postprint), HAL, number halshs-04811339, Aug, DOI: 10.1257/mic.20200030.
• Louis Lévy-Garboua & Marco Gazel & Noémi Berlin & Jan Dul & Todd Lubart, 2024, "Creative cognition as a bandit problem," Working Papers, HAL, number hal-04554250, Apr, DOI: 10.1016/j.lindif.2024.102438.
• Mathias Silva & Michel Lubrano, 2024, "Bayesian inference for income inequality using a Pareto II tail with an uncertain threshold: Combining EU-SILC and WID data," Working Papers, HAL, number hal-04759143, Oct.
• Mohammed Abdellaoui & Brian Hill & Sarat Chandra Akella, 2024, "Disentangling Drivers of Ambiguity Attitudes ," Working Papers, HAL, number hal-04759303, Aug, DOI: 10.2139/ssrn.4916177.
• Karlsson, Sune & Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2024, "US Interest Rates: Are Relations Stable?," Working Papers, Örebro University, School of Business, number 2024:3, Mar.
• Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2024, "VAR Models with Fat Tails and Dynamic Asymmetry," Working Papers, Örebro University, School of Business, number 2024:8, Oct.
• Lenza, Michele & Savoia, Ettore, 2024, "Do we need firm data to understand macroeconomic dynamics?," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 438, Jul.
• Cicilia A. Harun & Danny Hermawan & Arnita Rishanty & Matias Judatama Partahi & Justina Adamanti & Ramdani, 2024, "Policy Innovation: Indonesia Climate Stress Test Scenario," Working Papers, Bank Indonesia, number WP/07/2024.
• Cicilia Anggadewi Harun & Danny Hermawan & Ade Dwi Aryani & Fariz Ahmad Sultansyah, 2024, "Impact Of Corporate Loan Deleveraging On Banking Performances In Indonesia," Working Papers, Bank Indonesia, number WP/08/2024.
• Michael T. Kiley, 2024, "Anchored or Not: How Much Information Does 21st Century Data Contain on Inflation Dynamics?," International Journal of Central Banking, International Journal of Central Banking, volume 20, issue 1, pages 239-261, February.
• Frank Schorfheide & Dongho Song, 2024, "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," International Journal of Central Banking, International Journal of Central Banking, volume 20, issue 4, pages 275-320, October.
• Jaeho Kim & Scott C. Linn & Sora Chon, 2024, "Price Discovery via Long-run Forecast," Inha University IBER Working Paper Series, Inha University, Institute of Business and Economic Research, number 2024-2, Aug.
• Manish K. Singh & Marta Gómez-Puig & Simón Sosvilla-Rivero, 2024, "Quantifying sovereign risk in the euro area," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202403, Feb, revised Feb 2024.
• Zareei, Afsaneh & Falahi, Mohammad Ali & Wadensjö, Eskil & Sadati, Saeed Malek, 2024, "International Sanctions and Labor Emigration: A Case Study of Iran," IZA Discussion Papers, IZA Network @ LISER, number 17062, Jun.
• Gaul, Johannes J. & Keusch, Florian & Rostam-Afschar, Davud & Simon, Thomas, 2024, "Invitation Messages for Business Surveys: A Multi-Armed Bandit Experiment," IZA Discussion Papers, IZA Network @ LISER, number 17534, Dec.

2023

• Ferdinand Ahiakpor & William G. Cantah & Edward Sennoga & Paul Mpuga, 2023, "Monetary Policy and Inflation in Ethiopia," The African Finance Journal, Africagrowth Institute, volume 25, issue 2, pages 46-61.
• Valenti, Daniele & Bertoni, Danilo & Cavicchioli, Davide & Olper, Alessandro, , "Understanding the role of supply and demand factors in the global wheat market: a Structural Vector Autoregressive approach," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 338780, DOI: 10.22004/ag.econ.338780.
• Ravazzolo, Francesco & Rossini, Luca, , "Is the Price Cap for Gas Useful? Evidence from European Countries," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 338790, DOI: 10.22004/ag.econ.338790.
• Mathias Silva, 2023, "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2310, Apr.
• Mathias Silva, 2023, "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2311, May.
• Mathias Silva & Michel Lubrano, 2023, "Bayesian correction for missing rich using a Pareto II tail with unknown threshold: Combining EU-SILC and WID data," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2320, Oct.
• 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, Université catholique de Louvain, Louvain Finance (LFIN), number 2023002, Apr.
• DI BARTOLOMEO, Giovanni & SERPIERI, Carolina, 2023, "Optimal monetary policy and the vintage-dependent price and wage Phillips curves: An international comparison," Working Papers, University of Antwerp, Faculty of Business and Economics, number 2023004, Mar.
• Ignacio Galará, 2023, "A Measure of our Uncertainty: Households’ Inflation Expectation and Information Shocks," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 273, Sep.
• Joshua C. C. Chan & Aubrey Poon & Dan Zhu, 2023, "High-Dimensional Conditionally Gaussian State Space Models with Missing Data," Papers, arXiv.org, number 2302.03172, Feb.
• Dimitris Korobilis & Maximilian Schroder, 2023, "Monitoring multicountry macroeconomic risk," Papers, arXiv.org, number 2305.09563, May.
• Florian Huber & Gary Koop, 2023, "Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks," Papers, arXiv.org, number 2305.16827, May.
• Atsushi Inoue & `Oscar Jord`a & Guido M. Kuersteiner, 2023, "Inference for Local Projections," Papers, arXiv.org, number 2306.03073, Jun, revised Aug 2024.
• Patrick Kline & Evan K. Rose & Christopher R. Walters, 2023, "A Discrimination Report Card," Papers, arXiv.org, number 2306.13005, Jun.
• Ruben Loaiza-Maya & Didier Nibbering & Dan Zhu, 2023, "Hybrid unadjusted Langevin methods for high-dimensional latent variable models," Papers, arXiv.org, number 2306.14445, Jun.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023, "Amortized neural networks for agent-based model forecasting," Papers, arXiv.org, number 2308.05753, Aug.
• Hyungsik Roger Moon & Frank Schorfheide & Boyuan Zhang, 2023, "Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity," Papers, arXiv.org, number 2310.13785, Oct, revised Feb 2024.
• Tony Chernis & Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023, "Predictive Density Combination Using a Tree-Based Synthesis Function," Papers, arXiv.org, number 2311.12671, Nov.
• Tommaso Tornese, 2023, "A Euro Area Term Structure Model with Time Varying Exposures," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 23199.
• Andrea Carriero & Massimiliano Marcellino & Tommaso Tornese, 2023, "Blended Identification in Structural VARs," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 23200.
• 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, Bank of Canada, number 23-37, Jun, DOI: 10.34989/swp-2023-37.
• Tony Chernis, 2023, "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers, Bank of Canada, number 23-45, Aug, DOI: 10.34989/swp-2023-45.
• Tony Chernis & Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023, "Predictive Density Combination Using a Tree-Based Synthesis Function," Staff Working Papers, Bank of Canada, number 23-61, Dec, DOI: 10.34989/swp-2023-61.
• Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023, "Bayesian Local Projections," Working Papers Series, Central Bank of Brazil, Research Department, number 581, May.
• 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, DOI: https://doi.org/10.53479/24995.
• 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, DOI: https://doi.org/10.53479/30649.
• 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, DOI: https://doi.org/10.53479/25119.
• 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, DOI: https://doi.org/10.53479/30733.
• Hervé Le Bihan & Danilo Leiva-León & Matías Pacce, 2023, "Underlying inflation and asymetric risks," Working Papers, Banco de España, number 2319, Jul, DOI: https://doi.org/10.53479/30849.
• 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), Bank of Italy, Economic Research and International Relations Area, number 745, Feb.
• Martha López & Eduardo Sarmiento G., 2023, "Excess Asset Returns Predictability in an Emerging Economy: The Case of Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 1243, Jun, DOI: 10.32468/be.1243.
• Camilo Granados & Daniel Parra-Amado, 2023, "Estimating the Output Gap After COVID: How to Address Unprecedented Macroeconomic Variations," Borradores de Economia, Banco de la Republica de Colombia, number 1249, Sep, DOI: 10.32468/be.1249.
• Ercüment DOĞRU, 2023, "Rusya-Ukrayna Savaşının Gıda Fiyatları ile Finansal Piyasalar Arasındaki Bağlantılılık Üzerine Etkisi," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, volume 7, issue 2, pages 63-83, December, DOI: https://doi.org/10.33399/biibfad.13.
• Kirill Anikeev & Vadim Grishchenko, 2023, "Russian Real Economy and Financial Sector Under the Structural Transformation: Review of the Bank of Russia, NES, and HSE University Workshop," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 4, pages 126-144, December.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023, "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series, Bank of Russia, number wps115, Jul.
• Joshua C.C. Chan & Rodney W. Strachan, 2023, "Bayesian State Space Models In Macroeconometrics," Journal of Economic Surveys, Wiley Blackwell, volume 37, issue 1, pages 58-75, February, DOI: 10.1111/joes.12405.
• Svetlana Bryzgalova & Jiantao Huang & Christian Julliard, 2023, "Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models," Journal of Finance, American Finance Association, volume 78, issue 1, pages 487-557, February, DOI: 10.1111/jofi.13197.
• Sune Karlsson & Pär Österholm, 2023, "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, volume 125, issue 1, pages 287-314, January, DOI: 10.1111/sjoe.12508.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Monitoring multicountry macroeconomic risk," Working Paper, Norges Bank, number 2023/9, Jun.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Probabilistic Quantile Factor Analysis," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 05/2023, Aug.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Monitoring multicountry macroeconomic risk," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 06/2023, Aug.
• Jamie L. Cross & Lennart Hoogerheide & Paul Labonne & Herman K. van Dijk, 2023, "Bayesian Mode Inference for Discrete Distributions in Economics and Finance," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 11/2023, Jun.
• David Kohns & Galina Potjagailo, 2023, "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers, Bank of England, number 1025, Jun.
• Sophia Lazaretou & George Palaiodimos, 2023, "An assessment of the impacts of inflation on Greek public finances: macroeconomic effects and policy implications," Economic Bulletin, Bank of Greece, issue 57, pages 7-24, July, DOI: 10.52903/econbull20235701.
• Zacharias Bragoudakis & Ioannis Krompas, 2023, "Greek GDP forecasting using Bayesian multivariate models," Working Papers, Bank of Greece, number 321, Jun, DOI: 10.52903/wp2023321.
• 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, Bank of Japan, number 23-E-13, Aug.
• Stephanie Ettmeier, 2023, "No Taxation Without Reallocation: The Distributional Effects of Tax Changes," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2023_436, Jun.
• Han Jong-Suk & Hur Joonyoung, 2023, "Effect of Monetary Policy on Government Spending Multiplier," The B.E. Journal of Macroeconomics, De Gruyter, volume 23, issue 1, pages 57-93, January, DOI: 10.1515/bejm-2020-0229.
• Doojav Gan-Ochir & Luvsannyam Davaajargal, 2023, "Forecasting Inflation in Mongolia: A Dynamic Model Averaging Approach," Journal of Time Series Econometrics, De Gruyter, volume 15, issue 1, pages 27-48, January, DOI: 10.1515/jtse-2020-0021.
• Zheng Xiaobing & Xia Qiang & Liang Rubing, 2023, "Bayesian inference for order determination of double threshold variables autoregressive models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 4, pages 567-587, September, DOI: 10.1515/snde-2020-0096.
• Tomas Micko & Alexander Karsay & Zuzana Mucka & Lucia Sramkova, 2023, "Closer to Finding Yeti," Working Papers, Council for Budget Responsibility, number Working Paper No. 1/2023, Aug.
• 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, CESifo, number 10307.
• K. Peren Arin & Efstathios Polyzos & Marcel Thum, 2023, "The Populist Voter: A Machine Learning Approach for the Individual Characteristics," CESifo Working Paper Series, CESifo, number 10472.
• Markus Leippold & Hanlin Yang, 2023, "Mixed-Frequency Predictive Regressions with Parameter Learning," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-39, Mar, revised Jun 2023.
• Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023, "Robust dynamic space-time panel data models using ε-contamination: An application to crop yields and climate change," CIRANO Working Papers, CIRANO, number 2023s-01, Jan.
• Noémie Berlin & Jan Dul & Marco Gazel & Louis Lévy-Garboua & Todd Lubart, 2023, "Creative Cognition as a Bandit Problem," CIRANO Working Papers, CIRANO, number 2023s-11, May.
• Smith, Simon & Timmermann, Allan & Wright, Jonathan, 2023, "Breaks in the Phillips Curve: Evidence from Panel Data," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18033, Mar.
• Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano, 2023, "Forecasting US Inflation Using Bayesian Nonparametric Models," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18244, Jun.
• Inoue, Atsushi & Jordà , Ã’scar & Kuersteiner, Guido, 2023, "Significance Bands for Local Projections," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18271, Jul.
• Acharya, Sushant & Chen, William & Del Negro, Marco & Dogra, Keshav & Gleich, Aidan & Goyal, Shlok & Matlin, Ethan & Lee, Donggyu & Sarfati, Reca & Sengupta, Sikata, 2023, "Estimating HANK for Central Banks," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18407, Aug.
• Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2023, "Investigating Growth-at-Risk Using a Multicountry Non-parametric Quantile Factor Model," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18549, Oct.
• Moon, Hyungsik Roger & Schorfheide, Frank & Zhang, Boyuan, 2023, "Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18560, Oct.
• Sovinsky, Michelle & Jacobi, Liana & Allocca, Alessandra & Sun, Tao, 2023, "More than Joints: Multi-Substance Use, Choice Limitations, and Policy Implications," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18693, Dec.
• Leonardo N. Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023, "Bayesian Local Projections," Working Papers, Center for Research in Economics and Statistics, number 2023-04, Feb.
• 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, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), number 2023014, Jul.
• Michael Sampson, 2023, "Learning About New Eras," Annals of Economics and Finance, Society for AEF, volume 24, issue 1, pages 1-12, May.
• Pfarrhofer, Michael, 2023, "Measuring International Uncertainty Using Global Vector Autoregressions with Drifting Parameters," Macroeconomic Dynamics, Cambridge University Press, volume 27, issue 3, pages 770-793, April.
• Gupta, Rangan & Ma, Jun & Theodoridis, Konstantinos & Wohar, Mark E., 2023, "Is there a national housing market bubble brewing in the United States?," Macroeconomic Dynamics, Cambridge University Press, volume 27, issue 8, pages 2191-2228, December.
• Masako Ikefuji & Jan Magnus & Andrey Vasnev, 2023, "The role of data and priors in estimating climate sensitivity," ISER Discussion Paper, Institute of Social and Economic Research, The University of Osaka, number 1217, Nov.
• Battistini, Niccolò & Neves, Pedro, 2023, "The drivers of recent developments in business activity expectations across sectors," Economic Bulletin Boxes, European Central Bank, volume 7.
• Warne, Anders, 2023, "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series, European Central Bank, number 2768, Jan.
• Manganelli, Simone, 2023, "Double conditioning: the hidden connection between Bayesian and classical statistics," Working Paper Series, European Central Bank, number 2786, Feb.
• Le Bihan, Hervé & Leiva-Leon, Danilo & Pacce, Matías, 2023, "Underlying inflation and asymmetric risks," Working Paper Series, European Central Bank, number 2848, Oct.
• Cimadomo, Jacopo & Giuliodori, Massimo & Lengyel, Andras & Mumtaz, Haroon, 2023, "Changing patterns of risk-sharing channels in the United States and the euro area," Working Paper Series, European Central Bank, number 2849, Oct.
• Shah, Sayar Ahmad & Garg, Bhavesh, 2023, "Testing policy effectiveness during COVID-19: An NK-DSGE analysis," Journal of Asian Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.asieco.2022.101577.
• Follett, Lendie & Henderson, Heath, 2023, "A hybrid approach to targeting social assistance," Journal of Development Economics, Elsevier, volume 160, issue C, DOI: 10.1016/j.jdeveco.2022.103002.
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023, "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, volume 146, issue C, DOI: 10.1016/j.jedc.2022.104580.
• Fu, Bowen, 2023, "Measuring the trend real interest rate in a data-rich environment," Journal of Economic Dynamics and Control, Elsevier, volume 147, issue C, DOI: 10.1016/j.jedc.2023.104606.
• Mertens, Elmar, 2023, "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, volume 154, issue C, DOI: 10.1016/j.jedc.2023.104720.
• Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023, "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, volume 157, issue C, DOI: 10.1016/j.jedc.2023.104762.
• Shah, Sayar Ahmad & Garg, Bhavesh, 2023, "Identifying efficient policy mix under different targeting regimes: A tale of two crises," Economic Analysis and Policy, Elsevier, volume 78, issue C, pages 975-994, DOI: 10.1016/j.eap.2023.04.019.
• Hoover, Gary A. & Smimou, K., 2023, "Socially conscious investment funds and home country institutions," Economic Analysis and Policy, Elsevier, volume 79, issue C, pages 395-417, DOI: 10.1016/j.eap.2023.06.008.
• Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2023, "Does inattentiveness matter for DSGE modeling? An empirical investigation," Economic Modelling, Elsevier, volume 118, issue C, DOI: 10.1016/j.econmod.2022.106076.
• Higgins, C. Richard, 2023, "Risk and Uncertainty: The Role of Financial Frictions," Economic Modelling, Elsevier, volume 119, issue C, DOI: 10.1016/j.econmod.2022.106138.
• Foroni, Claudia & Ravazzolo, Francesco & Rossini, Luca, 2023, "Are low frequency macroeconomic variables important for high frequency electricity prices?," Economic Modelling, Elsevier, volume 120, issue C, DOI: 10.1016/j.econmod.2022.106160.
• Rodríguez, Gabriel & Vassallo, Renato & Castillo B., Paul, 2023, "Effects of external shocks on macroeconomic fluctuations in Pacific Alliance countries," Economic Modelling, Elsevier, volume 124, issue C, DOI: 10.1016/j.econmod.2023.106302.
• Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023, "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, volume 126, issue C, DOI: 10.1016/j.econmod.2023.106381.
• Kabundi, Alain & Poon, Aubrey & Wu, Ping, 2023, "A time-varying Phillips curve with global factors: Are global factors important?," Economic Modelling, Elsevier, volume 126, issue C, DOI: 10.1016/j.econmod.2023.106423.
• Guironnet, Jean-Pascal, 2023, "Competitive intensity and industry performance of professional sports," Economic Modelling, Elsevier, volume 126, issue C, DOI: 10.1016/j.econmod.2023.106441.
• Boonman, Tjeerd M., 2023, "Portfolio capital flows before and after the Global Financial Crisis," Economic Modelling, Elsevier, volume 127, issue C, DOI: 10.1016/j.econmod.2023.106440.
• 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, volume 64, issue C, DOI: 10.1016/j.najef.2023.101879.
• Doğan, Osman, 2023, "Modified harmonic mean method for spatial autoregressive models," Economics Letters, Elsevier, volume 223, issue C, DOI: 10.1016/j.econlet.2023.110978.
• Berger, Tino & Kempa, Bernd & Zou, Feina, 2023, "The role of macroeconomic uncertainty in the determination of the natural rate of interest," Economics Letters, Elsevier, volume 229, issue C, DOI: 10.1016/j.econlet.2023.111191.
• Wu, Ping & Koop, Gary, 2023, "Estimating the ordering of variables in a VAR using a Plackett–Luce prior," Economics Letters, Elsevier, volume 230, issue C, DOI: 10.1016/j.econlet.2023.111247.
• Huang, Zhenxing & Li, Wengang & Yang, Jia, 2023, "Belief updating under ambiguity: A numerical simulation analysis," Economics Letters, Elsevier, volume 233, issue C, DOI: 10.1016/j.econlet.2023.111359.
• 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, volume 232, issue 1, pages 52-69, DOI: 10.1016/j.jeconom.2020.11.006.
• Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023, "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, volume 232, issue 2, pages 501-520, DOI: 10.1016/j.jeconom.2021.09.013.
• Li, Yong & Wang, Nianling & Yu, Jun, 2023, "Improved marginal likelihood estimation via power posteriors and importance sampling," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 28-52, DOI: 10.1016/j.jeconom.2021.11.009.
• Fitzenberger, Bernd & Osikominu, Aderonke & Paul, Marie, 2023, "The effects of training incidence and planned training duration on labor market transitions," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 256-279, DOI: 10.1016/j.jeconom.2022.03.004.
• Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023, "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1054-1086, DOI: 10.1016/j.jeconom.2022.04.013.
• Ho, Paul, 2023, "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 608-642, DOI: 10.1016/j.jeconom.2022.06.004.
• Gallant, A. Ronald, 2023, "Variance–covariance from a metropolis chain on a curved, singular manifold," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 843-861, DOI: 10.1016/j.jeconom.2022.08.002.
• Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023, "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, volume 236, issue 1, DOI: 10.1016/j.jeconom.2023.05.005.
• Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023, "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2022.11.004.
• Herranz, Moisés Meroño & Turino, Francesco, 2023, "Tax evasion, fiscal policy and public debt: Evidence from Spain," Economic Systems, Elsevier, volume 47, issue 3, DOI: 10.1016/j.ecosys.2023.101121.
• Conti, Antonio M. & Nobili, Andrea & Signoretti, Federico M., 2023, "Bank capital requirement shocks: A narrative perspective," European Economic Review, Elsevier, volume 151, issue C, DOI: 10.1016/j.euroecorev.2022.104254.
• Miescu, Mirela S., 2023, "Uncertainty shocks in emerging economies: A global to local approach for identification," European Economic Review, Elsevier, volume 154, issue C, DOI: 10.1016/j.euroecorev.2023.104437.
• 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, volume 158, issue C, DOI: 10.1016/j.euroecorev.2023.104556.
• Fuhrer, Adrian & Hock, Thorsten, 2023, "Uncertainty in the Black–Litterman model: Empirical estimation of the equilibrium," Journal of Empirical Finance, Elsevier, volume 72, issue C, pages 251-275, DOI: 10.1016/j.jempfin.2023.03.009.
• Ringwald, Leopold & Zörner, Thomas O., 2023, "The money-inflation nexus revisited," Journal of Empirical Finance, Elsevier, volume 73, issue C, pages 293-333, DOI: 10.1016/j.jempfin.2023.07.002.
• 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, volume 125, issue C, DOI: 10.1016/j.eneco.2023.106884.
• 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, volume 89, issue C, DOI: 10.1016/j.irfa.2023.102773.
• Beechey, Meredith & Österholm, Pär & Poon, Aubrey, 2023, "Estimating the US trend short-term interest rate," Finance Research Letters, Elsevier, volume 55, issue PA, DOI: 10.1016/j.frl.2023.103913.
• Zribi, Wissal & Boufateh, Talel & Guesmi, Khaled, 2023, "Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention," Finance Research Letters, Elsevier, volume 58, issue PD, DOI: 10.1016/j.frl.2023.104584.
• Chen, Ding & Guo, Biao & Zhou, Guofu, 2023, "Firm fundamentals and the cross-section of implied volatility shapes," Journal of Financial Markets, Elsevier, volume 63, issue C, DOI: 10.1016/j.finmar.2022.100771.
• 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, volume 39, issue 2, pages 791-808, DOI: 10.1016/j.ijforecast.2022.02.006.
• Kohns, David & Bhattacharjee, Arnab, 2023, "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, volume 39, issue 3, pages 1384-1412, DOI: 10.1016/j.ijforecast.2022.05.002.
• Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2023, "Testing big data in a big crisis: Nowcasting under Covid-19," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1548-1563, DOI: 10.1016/j.ijforecast.2022.10.005.
• 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, volume 130, issue C, DOI: 10.1016/j.jimonfin.2022.102760.
• Hüpper, Florian & Kempa, Bernd, 2023, "Inflation targeting and inflation communication of the Federal Reserve: Words and deeds," Journal of Macroeconomics, Elsevier, volume 75, issue C, DOI: 10.1016/j.jmacro.2022.103497.
• Meggiorini, Greta, 2023, "Behavioral New Keynesian Models: An empirical assessment," Journal of Macroeconomics, Elsevier, volume 77, issue C, DOI: 10.1016/j.jmacro.2023.103538.
• Dimiski, Anastasia, 2023, "How does pre-school attendance affect school performance? An application of Gini-BMA methodology on PISA 2018 dataset," The Journal of Economic Asymmetries, Elsevier, volume 28, issue C, DOI: 10.1016/j.jeca.2023.e00321.
• Ghaemi Asl, Mahdi & Raheem, Ibrahim D. & Rashidi, Muhammad Mahdi, 2023, "Do stochastic risks flow between industrial and precious metals, Islamic stocks, green bonds, green stocks, clean investments, major foreign exchange rates, and Bitcoin?," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104186.
• Fernandes, Marcos R., 2023, "Confirmation bias in social networks," Mathematical Social Sciences, Elsevier, volume 123, issue C, pages 59-76, DOI: 10.1016/j.mathsocsci.2023.02.007.
• Bayer, Christian & Born, Benjamin & Luetticke, Ralph, 2023, "The liquidity channel of fiscal policy," Journal of Monetary Economics, Elsevier, volume 134, issue C, pages 86-117, DOI: 10.1016/j.jmoneco.2022.11.009.
• Nasir, Muhammad Ali & Morgan, Jamie, 2023, "Paradox of stationarity? A policy target dilemma for policymakers," The Quarterly Review of Economics and Finance, Elsevier, volume 87, issue C, pages 142-145, DOI: 10.1016/j.qref.2020.05.007.
• Bampinas, Georgios & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2023, "Oil shocks and investor attention," The Quarterly Review of Economics and Finance, Elsevier, volume 87, issue C, pages 68-81, DOI: 10.1016/j.qref.2022.11.006.
• 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, volume 88, issue C, pages 278-294, DOI: 10.1016/j.qref.2023.01.010.
• 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, volume 91, issue C, pages 170-185, DOI: 10.1016/j.qref.2022.10.011.
• Koirala, Niraj P. & Nyiwul, Linus, 2023, "Inflation volatility: A Bayesian approach," Research in Economics, Elsevier, volume 77, issue 1, pages 185-201, DOI: 10.1016/j.rie.2023.01.003.
• Beqiraj, Elton & Tancioni, Massimiliano, 2023, "Subsidizing new jobs in the Euro-zone periphery," International Review of Economics & Finance, Elsevier, volume 86, issue C, pages 380-401, DOI: 10.1016/j.iref.2023.03.018.
• Ballester, Laura & López, Jesúa & Pavía, Jose M., 2023, "European systemic credit risk transmission using Bayesian networks," Research in International Business and Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.ribaf.2023.101914.
• 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, volume 64, issue C, pages 314-332, DOI: 10.1016/j.strueco.2023.01.005.
• 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, volume 195, issue C, DOI: 10.1016/j.techfore.2023.122782.
• Miguel Herculano & Punnoose Jacob, 2023, "Financial Condition Indices in an Incomplete Data Environment," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-42, Aug.
• Osmar Bolivar & Christian Huanto & Roberto Terán, 2023, "Inflation Expectations: Dynamics and Effects for South America," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 6, issue 1, pages 3-24, June.
• Osmar Bolivar & Christian Huanto & Roberto Terán, 2023, "Expectativas de inflacion: Dinámica y efectos para América del Sur," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 6, issue 1, pages 7-50, Junio.
• Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2023, "Bayesian solutions for the factor zoo: we just ran two quadrillion models," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 126151, Feb.
• Michel Lubrano & Zhou Xun, 2023, "The Bayesian approach to poverty measurement," Chapters, Edward Elgar Publishing, chapter 44, in: Jacques Silber, "Research Handbook on Measuring Poverty and Deprivation".
• 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, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 191, Jul.
• Theodor Petrik & Martin Plajner, 2023, "Concurrent Business and Distribution Strategy Planning Using Bayesian Networks," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2023/3, Feb, revised Feb 2023.
• Evzen Kocenda & Shivendra Rai, 2023, "Drivers of Private Equity Activity across Europe: An East-West Comparison," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2023/14, May, revised May 2023.
• Daniele Valenti & Danilo Bertoni & Daniele Cavicchioli & Alessandro Olper, 2023, "Understanding the role of supply and demand factors in the global wheat market: a Structural Vector Autoregressive approach," Working Papers, Fondazione Eni Enrico Mattei, number 2023.21, Oct.
• Francesco Ravazzolo & Luca Rossini, 2023, "Is the Price Cap for Gas Useful? Evidence from European Countries," Working Papers, Fondazione Eni Enrico Mattei, number 2023.23, Oct.
• Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2023, "Uniform Priors for Impulse Responses," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2023-13, Sep, DOI: 10.29338/wp2023-13.
• Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023, "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers, Federal Reserve Bank of Cleveland, number 23-05, Jan, DOI: 10.26509/frbc-wp-202305.
• Tony Chernis & Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023, "Predictive Density Combination Using a Tree-Based Synthesis Function," Working Papers, Federal Reserve Bank of Cleveland, number 23-30, Nov, DOI: 10.26509/frbc-wp-202330.
• Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2023, "Significance Bands for Local Projections," Working Paper Series, Federal Reserve Bank of San Francisco, number 2023-15, May, DOI: 10.24148/wp2023-15.
• Jonathan H. Wright, 2023, "Breaks in the Phillips Curve: Evidence from Panel Data," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-015, Apr, DOI: 10.17016/FEDS.2023.015.
• 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, Federal Reserve Bank of New York, number 1071, Aug, DOI: 10.59576/sr.1071.
• 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, Economics Section, The Graduate Institute of International Studies, number 05-2023, Apr.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Monitoring multicountry macroeconomic risk," Working Papers, Business School - Economics, University of Glasgow, number 2023_07, May.
• Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023, "A Bayesian approach for the determinants of bitcoin returns," Working Papers, University of Guelph, Department of Economics and Finance, number 2302.
• Marc Beltempo & Georges Bresson & Guy Lacroix, 2023, "Using machine learning to predict nosocomial infections and medical accidents in a NICU," Post-Print, HAL, number hal-04103625, DOI: 10.1007/s12553-022-00723-1.
• Edwin Fourrier-Nicolaï & Michel Lubrano, 2023, "Bayesian inference for non-anonymous growth incidence curves using Bernstein polynomials: an application to academic wage dynamics," Post-Print, HAL, number hal-04185645, DOI: 10.1515/snde-2022-0109.
• Jean-Pascal Guironnet, 2023, "Competitive intensity and industry performance of professional sports," Post-Print, HAL, number hal-04194807, DOI: 10.1016/j.econmod.2023.106441.
• Michel Lubrano & Zhou Xun, 2023, "The Bayesian approach to poverty measurement," Post-Print, HAL, number hal-04347292, DOI: 10.4337/9781800883451.00059.
• Edwin Fourrier-Nicolaï & Michel Lubrano, 2023, "Bayesian inference for non-anonymous growth incidence curves using Bernstein polynomials: an application to academic wage dynamics," Post-Print, HAL, number hal-04356211, Jul, DOI: 10.1515/snde-2022-0109.
• Michel Lubrano & Zhou Xun, 2023, "The Bayesian approach to poverty measurement," Post-Print, HAL, number halshs-04135764, Mar, DOI: 10.4337/9781800883451.00059.
• Kai Barron & Steffen Huck & Philippe Jehiel, 2023, "Everyday econometricians: Selection neglect and overoptimism when learning from others," PSE Working Papers, HAL, number halshs-04154345, Jul.
• Michel Lubrano & Abdoul Aziz Junior Ndoye, 2023, "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992-2009," Working Papers, HAL, number hal-01463115, Sep, DOI: 10.1111/sjpe.12038.
• Mathias Silva, 2023, "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach
  [Working Papers / Documents de travail]," Working Papers, HAL, number hal-04066544, Apr.
• Mathias Silva, 2023, "Parametric models of income distributions integrating misreporting and non-response mechanisms," Working Papers, HAL, number hal-04093646, May.
• Mathias Silva & Michel Lubrano, 2023, "Bayesian correction for missing rich using a Pareto II tail with unknown threshold: Combining EU-SILC and WID data," Working Papers, HAL, number hal-04231661, Aug.
• Kai Barron & Steffen Huck & Philippe Jehiel, 2023, "Everyday econometricians: Selection neglect and overoptimism when learning from others," Working Papers, HAL, number halshs-04154345, Jul.
• Mariia Elkina, 2023, "Financial Frictions in a DSGE Model of Russian Economy," HSE Economic Journal, National Research University Higher School of Economics, volume 27, issue 2, pages 159-195.
• Yan Rudakouski, 2023, "Comparing Forecasting Accuracy between BVAR and VAR Models for the Russian Economy," HSE Economic Journal, National Research University Higher School of Economics, volume 27, issue 4, pages 506-526.
• KANO, Takashi, 2023, "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-128, Mar.
• KWON, Heeeun & HWANG, Beom Seuk, 2023, "Do Spatial Characteristics Affect Housing Prices in Korea? : Evidence from Bayesian Spatial Models," Hitotsubashi Journal of Economics, Hitotsubashi University, volume 64, issue 2, pages 109-124, December, DOI: 10.15057/hje.2023006.
• Masagus M. Ridhwan & Dionisius A. Narjoko & Krisna Gupta, 2023, "The Assessment Of Competition, Markup, And Price Determination In The Indonesian Food And Beverage Industry," Working Papers, Bank Indonesia, number WP/03/2023.
• Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023, "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series, Institute of Economic Research, Korea University, number 2301.
• Akbobek Akhmedyarova, 2023, "Housing Market Dynamics in Kazakhstan: An Estimated DSGE Model," International Real Estate Review, Global Social Science Institute, volume 26, issue 3, pages 422-464.
• 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, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2023/0259, Jan.
• 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, volume 61, issue 1, pages 69-111, January, DOI: 10.1007/s10614-021-10200-y.
• Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023, "Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 4, pages 1637-1664, April, DOI: 10.1007/s10614-022-10255-5.
• Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023, "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, volume 26, issue 2, pages 273-303, April, DOI: 10.1007/s10683-022-09751-0.
• Gan-Ochir Doojav & Munkhbayar Gantumur, 2023, "An estimated model of a commodity-exporting economy for the integrated policy framework: evidence from Mongolia," International Economics and Economic Policy, Springer, volume 20, issue 4, pages 651-708, October, DOI: 10.1007/s10368-023-00571-y.