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)

2022

• Juan Angel Garcia & Aubrey Poon, 2022, "Inflation trends in Asia: implications for central banks
  [Are Phillips curves useful for forecasting inflation?]," Oxford Economic Papers, Oxford University Press, volume 74, issue 3, pages 671-700.
• Tovar Cuevas, José Rafael & Zúñiga Martínez, Claudia Lorena & Tovar Cuevas, Luis Miguel, 2022, "Factores asociados al emprendimiento de migrantes colombianos retornados: una aproximación Bayesiana
  [Factors associated with the entrepreneurship of returned Colombian migrants: a Bayesian approach]," 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, volume 33, issue 1, pages 408-438, June, DOI: https://doi.org/10.46661/revmetodos.
• Cangrejo Esquivel, Álvaro Javier & Tovar Cuevas, José Rafael & García, Isabel Cristina & Manotas Duque, Diego Fernando, 2022, "Estimación clásica y bayesiana de la volatilidad en el modelo de Black-Scholes
  [Classical and Bayesian estimation of volatility in the Black-Scholes model]," 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, volume 34, issue 1, pages 237-262, December , DOI: https://doi.org/10.46661/revmetodos.
• Nimonka Bayale & Brigitte Kanga Kouassi, 2022, "The Devil is in the Details: On the Robust Determinants of Development Aid in G5 Sahel Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, volume 64, issue 4, pages 646-680, December, DOI: 10.1057/s41294-021-00182-z.
• Simone Arrigoni & Alina Bobasu & Fabrizio Venditti, 2022, "Measuring Financial Conditions using Equal Weights Combination," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, volume 70, issue 4, pages 668-697, December, DOI: 10.1057/s41308-022-00170-y.
• Sharada Nia Davidson, 2022, "Regional Integration and Decoupling in the Asia Pacific: A Bayesian Panel VAR Approach," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, volume 70, issue 4, pages 773-807, December, DOI: 10.1057/s41308-022-00174-8.
• Junior A. Ojeda Cunya & Gabriel Rodríguez, 2022, "Time-Varying Effects of External Shocks on Macroeconomic Fluctuations in Peru: An Empirical Application using TVP-VAR- SV Models," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2022-507, DOI: 10.18800/2079-8474.0507.
• Gabriel Rodríguez & Renato Vassallo, 2022, "Time Evolution of External Shocks on Macroeconomic Fluctuations in Pacific Alliance Countries: Empirical Application using TVP-VAR-SV Models," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2022-508, DOI: 10.18800/2079-8474.0508.
• Gabriel Rodríguez & Paulo Chávez, 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, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2022-509, DOI: 10.18800/2079-8474.0509.
• Roberto Calero & Gabriel Rodríguez & Rodrigo Salcedo Cisneros, 2022, "Evolution of the Exchange Rate Pass-Throught into Prices in Peru: An Empirical Application Using TVP-VAR-SV Models," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2022-510, DOI: 10.18800/2079-8474.0510.
• Li, Chenxing, 2022, "A multivariate GARCH model with an infinite hidden Markov mixture," MPRA Paper, University Library of Munich, Germany, number 112792, Mar.
• Barrie, Mohamed Samba & Jackson, Emerson Abraham, 2022, "Impact of Technological Shock on the Sierra Leone Economy: A Dynamic Stochastic General Equilibrium (DSGE) Approach," MPRA Paper, University Library of Munich, Germany, number 113636, May, revised 10 Jun 2022.
• Mountford, Andrew, 2022, "Economic Growth Analysis When Balanced Growth Paths May Be Time Varying," MPRA Paper, University Library of Munich, Germany, number 114249, Aug.
• Li, Chenxing & Maheu, John M & Yang, Qiao, 2022, "An Infinite Hidden Markov Model with Stochastic Volatility," MPRA Paper, University Library of Munich, Germany, number 115456, Nov.
• Lewis, Gabriel, 2022, "Heteroskedasticity and Clustered Covariances from a Bayesian Perspective," MPRA Paper, University Library of Munich, Germany, number 116662, Dec.
• Fuertes, Ana-Maria & Zhao, Nan, 2022, "A Bayesian Perspective on Commodity Style Integration," MPRA Paper, University Library of Munich, Germany, number 117831, revised 2023.
• Sophio Togonidze & Evžen Kočenda, 2022, "Macroeconomic Responses of Emerging Market Economies to Oil Price Shocks: An Analysis by Region and Resource Profile," FFA Working Papers, Prague University of Economics and Business, number 4.005, Apr, revised 25 Apr 2022.
• Jakub Drahokoupil, 2022, "Application of the XGBoost algorithm and Bayesian optimization for the Bitcoin price prediction during the COVID-19 period," FFA Working Papers, Prague University of Economics and Business, number 4.006, Mar, revised 09 May 2022.
• Sophio Togonidze & Evžen Kočenda, 2022, "Macroeconomic implications of oil price shocks to emerging economies: a Markov regime-switching approach," FFA Working Papers, Prague University of Economics and Business, number 4.009, May, revised 06 Sep 2022.
• Laura Liu & Mikkel Plagborg-Møller, 2022, "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," Working Papers, Princeton University. Economics Department., number 2022-21, Jun.
• Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg-Møller, 2022, "Robust Empirical Bayes Confidence Intervals," Working Papers, Princeton University. Economics Department., number 2022-27, May.
• José R. Maria & Paulo Júlio, 2022, "Comparing estimated structural models of different complexities: What do we learn?," Working Papers, Banco de Portugal, Economics and Research Department, number w202205.
• Haroon Mumtaz & Michele Piffer, 2022, "Impulse response estimation via fexible local projections," Working Papers, Queen Mary University of London, School of Economics and Finance, number 938, Apr.
• Pérez Forero, Fernando, 2022, "Exchange Rate Volatility in LATAM: Common and Idiosyncratic Factors," Working Papers, Banco Central de Reserva del Perú, number 2022-001, May.
• Aguirre, Jhon & Arrieta, Johar & Castillo, Luis & Florián, David & Ledesma, Alan & Martínez, Jeffesron & Morales, Valeria & Vélez, Amilcar, 2022, "Modelo de Proyección Trimestral: Una actualización hasta 2019," Working Papers, Banco Central de Reserva del Perú, number 2022-011, Jul.
• Byron Botha & Rulof Burger & Kevin Kotz & Neil Rankin & Daan Steenkamp, 2022, "Big data forecasting of South African inflation," Working Papers, South African Reserve Bank, number 11022, Feb.
• Thomas Lubik & Christian Matthes & Elmar Mertens, 2022, "Online Appendix to "Indeterminacy and Imperfect Information"," Online Appendices, Review of Economic Dynamics, number 20-377.
• Thomas Lubik & Christian Matthes & Elmar Mertens, 2022, "Code and data files for "Indeterminacy and Imperfect Information"," Computer Codes, Review of Economic Dynamics, number 20-377, revised .
• Zhao Han & Xiaohan Ma & Ruoyun Mao, 2022, "Code and data files for "The Role of Dispersed Information in Inflation and Inflation Expectations"," Computer Codes, Review of Economic Dynamics, number 20-423, revised .
• Yakup Arı, 2022, "USD/TRY and foreign banks in Turkey: Evidence by TVP-VAR," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 67, pages 5-26.
• Viktor Lapshin & Markov Anton, 2022, "MCMC-based credit rating aggregation algorithm to tackle data insufficiency," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 68, pages 50-72.
• Anca Mihaela COPACIU & Alexandra HOROBET, 2022, "Spillovers in the Presence of Financial Stress – An Application to Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 29-43, April.
• Cristina ANGHELESCU, 2022, "Shock-dependent Exchange Rate Pass-through into Different Measures of Price Indices in the Case of Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 3, pages 88-104, October.
• Eduard van der Merwe & Eleni Yitbarek & Matthew W. Clance, 2022, "Climate change and child health: A Nigerian perspective," ERSA Working Paper Series, Economic Research Southern Africa, number 871, Jan.
• Byron Botha & Kevin Kotze & Neil Rankin & Rulof P. Burger, 2022, "Big data forecasting of South African inflation," ERSA Working Paper Series, Economic Research Southern Africa, number 873, Feb.
• Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, , "Big data forecasting of South African inflation," ERSA Working Paper Series, Economic Research Southern Africa, number v::y:2022:i::id:41.
• Rogelio V. Mercado, Jr. & Victor Pontines, 2022, "Which Financial Inclusion Indicators and Dimensions Matter for Income Inequality? A Bayesian Model Averaging Approach," Working Papers, South East Asian Central Banks (SEACEN) Research and Training Centre, number wp47, Oct.
• Michał Rubaszek & Karol Szafranek, 2022, "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," KAE Working Papers, Warsaw School of Economics, Collegium of Economic Analysis, number 2022-078, Jun, DOI: 10.33119/kaewps2022078.
• Jaeho Kim & Sora Chon, 2022, "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, volume 62, issue 2, pages 461-485, February, DOI: 10.1007/s00181-021-02024-4.
• Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022, "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, volume 62, issue 3, pages 1345-1363, March, DOI: 10.1007/s00181-021-02060-0.
• Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022, "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, volume 63, issue 6, pages 3061-3092, December, DOI: 10.1007/s00181-022-02239-z.
• Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022, "Correction to: Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, volume 63, issue 6, pages 3093-3093, December, DOI: 10.1007/s00181-022-02261-1.
• Anna Pajor & Justyna Wróblewska, 2022, "Forecasting performance of Bayesian VEC-MSF models for financial data in the presence of long-run relationships," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, volume 12, issue 3, pages 427-448, September, DOI: 10.1007/s40822-022-00203-x.
• Alisher Tolepbergen, 2022, "The role of labor market structure and shocks for monetary policy in Kazakhstan," International Journal of Economic Policy Studies, Springer, volume 16, issue 1, pages 179-210, February, DOI: 10.1007/s42495-021-00073-2.
• Obsa Urgessa Ayana & Jima Degaga, 2022, "Effects of rural electrification on household welfare: a meta-regression analysis," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), volume 69, issue 2, pages 209-261, June, DOI: 10.1007/s12232-022-00391-7.
• Lydia Simon & Jost Adler, 2022, "Worth the effort? Comparison of different MCMC algorithms for estimating the Pareto/NBD model," Journal of Business Economics, Springer, volume 92, issue 4, pages 707-733, May, DOI: 10.1007/s11573-021-01057-6.
• Koki Kyo & Hideo Noda & Genshiro Kitagawa, 2022, "Co-movement of Cyclical Components Approach to Construct a Coincident Index of Business Cycles," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 18, issue 1, pages 101-127, March, DOI: 10.1007/s41549-022-00067-9.
• Joshua C. Hall & Donald J. Lacombe & Amir Neto & James Young, 2022, "Bayesian Estimation of the Hierarchical SLX Model with an Application to Housing Markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 46, issue 2, pages 360-373, April, DOI: 10.1007/s12197-021-09568-2.
• 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, volume 17, issue 3, pages 827-847, July, DOI: 10.1007/s11403-022-00345-w.
• Nikolas Kuschnig, 2022, "Bayesian spatial econometrics: a software architecture," Journal of Spatial Econometrics, Springer, volume 3, issue 1, pages 1-25, December, DOI: 10.1007/s43071-022-00023-w.
• Kien C. Tran & Mike G. Tsionas, 2022, "Instrumental Variables Estimation without Outside Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 20, issue 3, pages 489-506, September, DOI: 10.1007/s40953-022-00300-3.
• Yikuan Chen & B. Wade Brorsen & Jon T. Biermacher & Mykel Taylor, 2022, "Spatially varying wheat protein premiums," Letters in Spatial and Resource Sciences, Springer, volume 15, issue 3, pages 587-598, December, DOI: 10.1007/s12076-022-00313-9.
• Inhwa Kim & Keith J. Gamble, 2022, "Too much or too little information: how unknown uncertainty fuels time inconsistency," SN Business & Economics, Springer, volume 2, issue 2, pages 1-33, February, DOI: 10.1007/s43546-021-00189-9.
• Simona Hašková & Petr Šuleř & Tomáš Krulický, 2022, "Advantages of fuzzy approach compared to probabilistic approach in project evaluation," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 10, issue 1, pages 483-493, September, DOI: 10.9770/jesi.2022.10.1(27).
• Andrea Carriero & Alessio Volpicella, 2022, "Generalizing the Max Share Identification to multiple shocks identification: an Application to Uncertainty," School of Economics Discussion Papers, School of Economics, University of Surrey, number 0322, Mar.
• Paul Levine & Joseph Pearlman & Alessio Volpicella & Bo Yang, 2022, "The Use and Mis-Use of SVARs for Validating DSGE Models," School of Economics Discussion Papers, School of Economics, University of Surrey, number 0522, Jun.
• Nataliia Ostapenko, 2022, "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers, Research Department, National Bank of Slovakia, number WP 4/2022, Oct.
• 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, volume 29, issue 10, pages 927-931, June, DOI: 10.1080/13504851.2021.1898532.
• Svatopluk Kapounek & Zuzana Kučerová & Evžen Kočenda, 2022, "Selective Attention in Exchange Rate Forecasting," Journal of Behavioral Finance, Taylor & Francis Journals, volume 23, issue 2, pages 210-229, May, DOI: 10.1080/15427560.2020.1865355.
• Mengheng Li & Marcel Scharth, 2022, "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 40, issue 1, pages 285-301, January, DOI: 10.1080/07350015.2020.1806853.
• Yiu Lim Lui & Weilin Xiao & Jun Yu, 2022, "The Grid Bootstrap for Continuous Time Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 40, issue 3, pages 1390-1402, June, DOI: 10.1080/07350015.2021.1930014.
• Lutz Kilian, 2022, "Comment on Giacomini, Kitagawa, and Read’s “Narrative Restrictions and Proxies”," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 40, issue 4, pages 1429-1433, October, DOI: 10.1080/07350015.2022.2102022.
• Rubén Loaiza-Maya & Didier Nibbering, 2022, "Scalable Bayesian Estimation in the Multinomial Probit Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 40, issue 4, pages 1678-1690, October, DOI: 10.1080/07350015.2021.1961788.
• Wei Huang & Oliver Linton & Zheng Zhang, 2022, "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 40, issue 4, pages 1817-1830, October, DOI: 10.1080/07350015.2021.1981915.
• Young Min Kim & Seojin Lee, 2022, "Korean exchange rate forecasts using Bayesian variable selection," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, volume 29, issue 4, pages 1045-1062, July, DOI: 10.1080/16081625.2019.1653777.
• 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, volume 25, issue 1, pages 1050-1080, December, DOI: 10.1080/15140326.2022.2094668.
• Nguyen, BH & Zhang, Bo, 2022, "Forecasting oil Prices: can large BVARs help?," Working Papers, University of Tasmania, Tasmanian School of Business and Economics, number 2022-04.
• 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, Tinbergen Institute, number 22-013/III, Feb.
• Giuseppe De Luca & Jan Magnus & Franco Peracchi, 2022, "Asymptotic properties of the weighted average least squares (WALS) estimator," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 22-022/III, Feb.
• 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, Tinbergen Institute, number 22-053/III, Aug.
• Mike Gilraine & Jiaying Gu & Robert McMillan, 2022, "A Nonparametric Approach for Studying Teacher Impacts," Working Papers, University of Toronto, Department of Economics, number tecipa-716, Jan.
• 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, volume 104, issue 2, pages 355-367, May, DOI: 10.1162/rest_a_00958.
• 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, volume 104, issue 4, pages 686-704, October, DOI: 10.1162/rest_a_00974.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022, "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, volume 104, issue 4, pages 828-844, October, DOI: 10.1162/rest_a_00977.
• Décamps, Jean-Paul & Villeneuve, Stéphane, 2022, "Learning about profitability and dynamic cash management," TSE Working Papers, Toulouse School of Economics (TSE), number 22-1301, Feb.
• 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 & University of Caen), Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, number 2022-06, Sep.
• 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, volume 22, issue 2, pages 209-223, December, DOI: 10.2478/foli-2022-0027.
• 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, volume 17, issue 1, pages 1-13, June, DOI: 10.2478/jeb-2022-0001.
• Andrzej Kocięcki & Tomasz Łyziak & Ewa Stanisławska, 2022, "Subjective Expectations and Uncertainty," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2022-10.
• Castaing,Pauline & Gazeaud,Jules, 2022, "Do Index Insurance Programs Live Up to Their Promises ? Aggregating Evidence from Multiple Experiments," Policy Research Working Paper Series, The World Bank, number 10161, Sep.
• Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg‐Møller, 2022, "Robust Empirical Bayes Confidence Intervals," Econometrica, Econometric Society, volume 90, issue 6, pages 2567-2602, November, DOI: 10.3982/ECTA18597.
• 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., volume 37, issue 1, pages 161-186, January, DOI: 10.1002/jae.2870.
• 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., volume 37, issue 2, pages 351-367, March, DOI: 10.1002/jae.2879.
• 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., volume 37, issue 3, pages 583-602, April, DOI: 10.1002/jae.2889.
• 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., volume 37, issue 6, pages 1230-1255, September, DOI: 10.1002/jae.2923.
• 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., volume 37, issue 7, pages 1356-1378, November, DOI: 10.1002/jae.2934.
• Na Guo & Bo Zhang & Jamie L. Cross, 2022, "Time‐varying trend models for forecasting inflation in Australia," Journal of Forecasting, John Wiley & Sons, Ltd., volume 41, issue 2, pages 316-330, March, DOI: 10.1002/for.2814.
• 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., volume 41, issue 8, pages 1559-1569, December, DOI: 10.1002/for.2884.
• 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, volume 54, issue 2-3, pages 627-649, March, DOI: 10.1111/jmcb.12859.
• Neville Francis & Michael T. Owyang & Daniel Soques, 2022, "Business Cycles across Space and Time," Journal of Money, Credit and Banking, Blackwell Publishing, volume 54, issue 4, pages 921-952, June, DOI: 10.1111/jmcb.12860.
• 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, volume 54, issue 6, pages 1637-1671, September, DOI: 10.1111/jmcb.12908.
• Joshua C. C. Chan, 2022, "Asymmetric conjugate priors for large Bayesian VARs," Quantitative Economics, Econometric Society, volume 13, issue 3, pages 1145-1169, July, DOI: 10.3982/QE1381.
• 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., volume 67, issue 06, pages 1951-1986, December, DOI: 10.1142/S0217590822500229.
• Chen Zhang & Ying Fang & Linlin Niu, 2022, "Changing anchor of the renminbi: A Bayesian learning approach to the decade-long transition," Working Papers, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, number 2022-08-24, Aug.
• Nyholm, Juho & Silvo, Aino, 2022, "A model for predicting Finnish household loan stocks," BoF Economics Review, Bank of Finland, number 4/2022.
• Hartwig, Benny, 2022, "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers, Deutsche Bundesbank, number 52/2022.
• Hauber, Philipp, 2022, "Real-time nowcasting with sparse factor models," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 251551.
• Yang, Zheyu, 2022, "Risk-taking and monetary policy," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 263253.
• Diegel, Max, 2022, "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers, Free University Berlin, School of Business & Economics, number 2022/9, DOI: 10.17169/refubium-36967.
• Böhl, Gregor, 2022, "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 177.
• Prüser, Jan & Blagov, Boris, 2022, "Improving inference and forecasting in VAR models using cross-sectional information," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 960, DOI: 10.4419/96973124.
• Pablo Garcia, 2022, "Learning, Uncertainty and Monetary Policy," Annals of Economics and Statistics, GENES, issue 145, pages 5-28, DOI: https://doi.org/10.2307/48655900.
• Christian Gourieroux & Joann Jasiak, 2022, "Long Run Predictions," Annals of Economics and Statistics, GENES, issue 145, pages 75-90, DOI: https://doi.org/10.2307/48655902.
• 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, DOI: https://doi.org/10.2307/48684785.
• Jeffrey Mensch, 2022, "Screening Inattentive Buyers," American Economic Review, American Economic Association, volume 112, issue 6, pages 1949-1984, June, DOI: 10.1257/aer.20201098.
• Beverly, Joshua P. & Neill, Clinton L. & Stewart, Shamar, 2022, "The Dynamics of Labor Force Participation: All Quiet on the Appalachian Front?," 2022 Annual Meeting, July 31-August 2, Anaheim, California, Agricultural and Applied Economics Association, number 322258, Aug, DOI: 10.22004/ag.econ.322258.
• Casoli, Chiara & Manera, Matteo & Valenti, Daniele, , "Energy shocks in the Euro area: disentangling the pass-through from oil and gas prices to inflation," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 329739, DOI: 10.22004/ag.econ.329739.
• Ahmadi, Maryam & Casoli, Chiara & Manera, Matteo & Valenti, Daniele, , "Modelling the effects of climate change on economic growth: a Bayesian Structural Global Vector Autoregressive approach," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 329740, DOI: 10.22004/ag.econ.329740.
• Yakup Arı, 2022, "TVP-VAR Based CARR-Volatility Connectedness: Evidence from The Russian-Ukraine Conflict," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 7, issue 3, pages 590-607, DOI: 10.30784/epfad.1138999.
• 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, Aix-Marseille School of Economics, France, number 2227, Dec.
• Majda Benzidia & Michel Lubrano & Paolo Melindi-Ghidi, 2022, "Education Politics, Schooling Choice and Public School Quality: The Impact of Income Polarisation," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2229, Dec.
• Akbobek Akhmedyarova, 2022, "The housing market in a DSGE model for Kazakhstan," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 25, Sep, revised Mar 2023.
• Tomáš Karel & Petr Mazouch & Jakub Fischer, 2022, "The economic impact of false positivity of COVID-19 PCR testing in the Czech Republic," International Journal of Economic Sciences, European Research Center, volume 11, issue 1, pages 37-46, April.
• Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022, "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," Papers, arXiv.org, number 2201.05556, Jan, revised Mar 2023.
• Joshua C. C. Chan, 2022, "Large Hybrid Time-Varying Parameter VARs," Papers, arXiv.org, number 2201.07303, Jan, revised Jun 2022.
• Marko Mlikota & Frank Schorfheide, 2022, "Sequential Monte Carlo With Model Tempering," Papers, arXiv.org, number 2202.07070, Feb.
• Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino, 2022, "Forecasting US Inflation Using Bayesian Nonparametric Models," Papers, arXiv.org, number 2202.13793, Feb.
• Dimitris Korobilis, 2022, "A new algorithm for structural restrictions in Bayesian vector autoregressions," Papers, arXiv.org, number 2206.06892, Jun.
• Joshua C. C. Chan & Xuewen Yu, 2022, "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Papers, arXiv.org, number 2206.08438, Jun.
• Marcos R. Fernandes, 2022, "Confirmation Bias in Social Networks," Papers, arXiv.org, number 2207.12594, Jul, revised Feb 2023.
• Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2022, "Bayesian Modeling of TVP-VARs Using Regression Trees," Papers, arXiv.org, number 2209.11970, Sep, revised May 2023.
• Ramis Khabibullin & Sergei Seleznev, 2022, "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers, arXiv.org, number 2210.07154, Oct.
• Niko Hauzenberger & Florian Huber & Karin Klieber & Massimiliano Marcellino, 2022, "Bayesian Neural Networks for Macroeconomic Analysis," Papers, arXiv.org, number 2211.04752, Nov, revised Apr 2024.
• Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022, "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers, arXiv.org, number 2212.03471, Dec, revised Jul 2023.
• Dimitris Korobilis & Maximilian Schroder, 2022, "Probabilistic Quantile Factor Analysis," Papers, arXiv.org, number 2212.10301, Dec, revised Aug 2024.
• Jack Jewson & Li Li & Laura Battaglia & Stephen Hansen & David Rossell & Piotr Zwiernik, 2022, "Graphical model inference with external network data," CeMMAP working papers, Institute for Fiscal Studies, number 20/22, Nov, DOI: 10.47004/wp.cem.2022.2022.
• Cars Hommes & Kostas Mavromatis & Tolga Özden & Mei Zhu, 2022, "Behavioral Learning Equilibria in New Keynesian Models," Staff Working Papers, Bank of Canada, number 22-42, Sep, DOI: 10.34989/swp-2022-42.
• Mario Alloza & Danilo Leiva-León & Alberto Urtasun, 2022, "La respuesta de la inversión privada a un incremento de la inversión pública," Boletín Económico, Banco de España, issue 2/2022.
• Mario Alloza & Danilo Leiva-León & Alberto Urtasun, 2022, "The response of private investment to an increase in public investment," Economic Bulletin, Banco de España, issue 2/2022.
• Carlos Montes-Galdón & Eva Ortega, 2022, "Skewed SVARs: tracking the structural sources of macroeconomic tail risks," Working Papers, Banco de España, number 2208, Mar.
• Luis J. Álvarez & Florens Odendahl, 2022, "Data outliers and Bayesian VARs in the Euro Area," Working Papers, Banco de España, number 2239, Nov, DOI: https://doi.org/10.53479/23552.
• Stéphane Lhuissier, 2022, "Financial Conditions and Macroeconomic Downside Risks in the Euro Area," Working papers, Banque de France, number 863.
• Oleg Kryzhanovsky & Alexander Zykov, 2022, "DEMUR: A Regional Semi-Structural Model of the Ural Macroregion," Russian Journal of Money and Finance, Bank of Russia, volume 81, issue 4, pages 52-85, December.
• Ramis Khabibullin & Sergei Seleznev, 2022, "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Bank of Russia Working Paper Series, Bank of Russia, number wps104, Dec.
• Siddhartha Chib & Minchul Shin & Anna Simoni, 2022, "Bayesian estimation and comparison of conditional moment models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, volume 84, issue 3, pages 740-764, July, DOI: 10.1111/rssb.12484.
• Chunping Liu & Zhirong Ou, 2022, "Revisiting the determinants of house prices in China’s megacities: Cross‐sectional heterogeneity, interdependencies and spillovers," Manchester School, University of Manchester, volume 90, issue 3, pages 255-277, June, DOI: 10.1111/manc.12397.
• Sergio Marcelo Cerezo Aguirre & Angélica Calle Sarmiento & Coria Vidal Choque Atto & Valeria Fernanda Jemio Hurtado & Joab Dan Valdivia, 2022, "Efectos del COVID-19 en la actividad económica de Bolivia," Revista de Análisis del BCB, Banco Central de Bolivia, volume 37, issue 1, pages 9-56, July - De.
• Robin Braun & Ralf Brüggemann, 2022, "Identification of SVAR models by combining sign restrictions with external instruments," Bank of England working papers, Bank of England, number 961, Feb.
• Takushi Kurozumi & Ryohei Oishi, 2022, "A Comparison of Japanese and US New Keynesian Phillips Curves with Bayesian VAR-GMM," Bank of Japan Working Paper Series, Bank of Japan, number 22-E-3, Mar.
• Gregor Boehl & Felix Strobel, 2022, "The Empirical Performance of Financial Frictions since 2008," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2022_353, Jun.
• Gregor Boehl, 2022, "Ensemble MCMC Sampling for DSGE Models," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2022_355, Jun.
• Gregor Boehl, Felix Strobel, 2022, "Estimation of DSGE Models With the Effective Lower Bound," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2022_356, Jun.
• Li Mengheng & Mendieta-Muñoz Ivan, 2022, "Bayesian analysis of structural correlated unobserved components and identification via heteroskedasticity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 26, issue 3, pages 337-359, June, DOI: 10.1515/snde-2020-0027.
• Murasawa Yasutomo, 2022, "Bayesian multivariate Beveridge–Nelson decomposition of I(1) and I(2) series with cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 26, issue 3, pages 387-415, June, DOI: 10.1515/snde-2020-0049.
• Sara Boni & Francesco Ravazzolo, 2022, "A Structural Analysis of Unemployment-Generating Supply Shocks with an Application to the US Pharmaceutical Industry," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS94, Jun.
• Rastislav Rehak, 2022, "Sequential Sampling Beyond Decisions? A Normative Model of Decision Confidence," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp739, Nov.
• 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, CESifo, number 9579.
• Salvatore Nunnari & Massimiliano Pozzi, 2022, "Meta-Analysis of Inequality Aversion Estimates," CESifo Working Paper Series, CESifo, number 9851.
• Gianluca Cafiso & Giulia Rivolta, 2022, "Monetary Interventions and the Rise of Non-Bank Lenders," CESifo Working Paper Series, CESifo, number 9949.
• Damir Filipović & Puneet Pasricha, 2022, "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-95, Dec.
• Sara D'Andrea, 2022, "Are there any robust determinants of growth in Europe? A Bayesian Model Averaging approach," International Economics, CEPII research center, issue 171, pages 143-173.
• Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022, "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers, Centre for Economic Policy Research, number 16994, Feb.
• Mlikota, Marko & Schorfheide, Frank, 2022, "Sequential Monte Carlo With Model Tempering," CEPR Discussion Papers, Centre for Economic Policy Research, number 17035, Feb.
• Chang, Minsu & Schorfheide, Frank, 2022, "On the Effects of Monetary Policy Shocks on Earnings and Consumption Heterogeneity," CEPR Discussion Papers, Centre for Economic Policy Research, number 17049, Feb.
• Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2022, "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," CEPR Discussion Papers, Centre for Economic Policy Research, number 17111, Mar.
• Kase, Hanno & Melosi, Leonardo & Rottner, Matthias, 2022, "Estimating Nonlinear Heterogeneous Agents Models with Neural Networks," CEPR Discussion Papers, Centre for Economic Policy Research, number 17391, Jun.
• Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022, "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers, Centre for Economic Policy Research, number 17461, Jul.
• Childers, David & Fernández-Villaverde, Jesús & Perla, Jesse & Rackauckas, Chris & Wu, Peifan, 2022, "Differentiable State-Space Models and Hamiltonian Monte Carlo Estimation," CEPR Discussion Papers, Centre for Economic Policy Research, number 17576, Oct.
• Jewson, Jack & Li, Li & Battaglia, Laura & Hansen, Stephen & Rossell, David & Zwiernik, Piotr, 2022, "Graphical model inference with external network data," CEPR Discussion Papers, Centre for Economic Policy Research, number 17638, Nov.
• Carriero, Andrea & Marcellino, Massimiliano & Tornese, Tommaso, 2022, "Blended Identification in Structural VARs," CEPR Discussion Papers, Centre for Economic Policy Research, number 17640, Nov.
• Hauzenberger, Niko & Huber, Florian & Marcellino, Massimiliano & Petz, Nico, 2022, "Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty," CEPR Discussion Papers, Centre for Economic Policy Research, number 17646, Nov.
• Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022, "Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices," Working Papers, Center for Research in Economics and Statistics, number 2023-06, Mar.
• Boris Chafwehé & Charles de Beauffort & Rigas Oikonomou, 2022, "Optimal Monetary Policy Rules in the Fiscal Theory of the Price Level," LIDAM Discussion Papers IRES, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), number 2022007, Mar.
• Boris Chafwehé & Charles de Beauffort & Rigas Oikonomou, 2022, "Optimal Monetary Policy Rules in the Fiscal Theory of the Price Level," LIDAM Discussion Papers IRES, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), number 2022026, Nov.
• Boris Chafwehé & Rigas Oikonomou & Romanos Priftis & Lukas Vogel, 2022, "Optimal Monetary Policy with and without Debt," LIDAM Discussion Papers IRES, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), number 2022027, Dec.
• Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022, "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series, School of Economics, University of Cape Town, number 2022-03.
• Michael Sampson, 2022, "The Effect of Parameter Uncertainty on Consumption, Wealth, and Welfare," Annals of Economics and Finance, Society for AEF, volume 23, issue 1, pages 1-10, May.
• Chryso Aristidou & George Thucydides, 2022, "Historical decomposition of the Cyprus Residential Property Prices," Working Papers, Central Bank of Cyprus, number 2022-3, Oct.
• Stephanie Ettmeier, 2022, "No Taxation without Reallocation: The Distributional Effects of Tax Changes," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 2022.
• Hoffreumon, Charles & Labhard, Vincent, 2022, "Cross-country cross-technology digitalisation: a Bayesian hierarchical model perspective," Working Paper Series, European Central Bank, number 2700, Aug.
• Montes-Galdón, Carlos & Paredes, Joan & Wolf, Elias, 2022, "Conditional density forecasting: a tempered importance sampling approach," Working Paper Series, European Central Bank, number 2754, Dec.
• Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022, "A fresh assessment of the euro effect on outward US FDI," Working Papers, Department of Applied Economics II, Universidad de Valencia, number 2209, Oct.
• Pfarrhofer, Michael, 2022, "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, volume 143, issue C, DOI: 10.1016/j.jedc.2022.104493.
• Chan, Joshua C.C. & Yu, Xuewen, 2022, "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Journal of Economic Dynamics and Control, Elsevier, volume 143, issue C, DOI: 10.1016/j.jedc.2022.104505.
• Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022, "The euro area’s pandemic recession: A DSGE-based interpretation," Journal of Economic Dynamics and Control, Elsevier, volume 143, issue C, DOI: 10.1016/j.jedc.2022.104512.
• Morita, Hiroshi, 2022, "On the relationship between fiscal multipliers and population aging in Japan: Theory and empirics," Economic Modelling, Elsevier, volume 108, issue C, DOI: 10.1016/j.econmod.2022.105772.
• Audzei, Volha & Brůha, Jan, 2022, "A model of the Euro area, China, and the United States: Trade links and trade wars," Economic Modelling, Elsevier, volume 111, issue C, DOI: 10.1016/j.econmod.2022.105831.
• Arce-Alfaro, Gabriel & Blagov, Boris, 2022, "Financial integration or financial fragmentation? A euro area perspective," Economic Modelling, Elsevier, volume 114, issue C, DOI: 10.1016/j.econmod.2022.105902.
• Büyükbaşaran, Tayyar & Karasoy-Can, Gökçe & Küçük, Hande, 2022, "Macroeconomic effects of bank lending in an emerging economy: Evidence from Turkey," Economic Modelling, Elsevier, volume 115, issue C, DOI: 10.1016/j.econmod.2022.105946.
• Chalmovianský, Jakub & Němec, Daniel, 2022, "Assessing uncertainty of output gap estimates: Evidence from Visegrad countries," Economic Modelling, Elsevier, volume 116, issue C, DOI: 10.1016/j.econmod.2022.105994.
• Zhang, Chen & Fang, Ying & Niu, Linlin, 2022, "Changing anchor of the renminbi: A Bayesian learning approach to the decade-long transition," Economic Modelling, Elsevier, volume 116, issue C, DOI: 10.1016/j.econmod.2022.106032.
• Boucher, Vincent & Dedewanou, F. Antoine & Dufays, Arnaud, 2022, "Peer-induced beliefs regarding college participation," Economics of Education Review, Elsevier, volume 90, issue C, DOI: 10.1016/j.econedurev.2022.102307.
• Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022, "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, volume 63, issue C, DOI: 10.1016/j.najef.2022.101834.
• Batini, Nicoletta & Di Serio, Mario & Fragetta, Matteo & Melina, Giovanni & Waldron, Anthony, 2022, "Building back better: How big are green spending multipliers?," Ecological Economics, Elsevier, volume 193, issue C, DOI: 10.1016/j.ecolecon.2021.107305.
• Cai, Zhengzheng & Zhu, Yanli & Han, Xiaoyi, 2022, "Bayesian analysis of spatial dynamic panel data model with convex combinations of different spatial weight matrices: A reparameterized approach," Economics Letters, Elsevier, volume 217, issue C, DOI: 10.1016/j.econlet.2022.110695.
• Bognanni, Mark, 2022, "Comment on “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors”," Journal of Econometrics, Elsevier, volume 227, issue 2, pages 498-505, DOI: 10.1016/j.jeconom.2021.10.008.
• Gallant, A. Ronald, 2022, "Nonparametric Bayes subject to overidentified moment conditions," Journal of Econometrics, Elsevier, volume 228, issue 1, pages 27-38, DOI: 10.1016/j.jeconom.2021.02.005.
• Fulop, Andras & Heng, Jeremy & Li, Junye & Liu, Hening, 2022, "Bayesian estimation of long-run risk models using sequential Monte Carlo," Journal of Econometrics, Elsevier, volume 228, issue 1, pages 62-84, DOI: 10.1016/j.jeconom.2020.12.008.
• Gallant, A. Ronald & Hong, Han & Leung, Michael P. & Li, Jessie, 2022, "Constrained estimation using penalization and MCMC," Journal of Econometrics, Elsevier, volume 228, issue 1, pages 85-106, DOI: 10.1016/j.jeconom.2021.02.004.
• Jin, Xin & Maheu, John M. & Yang, Qiao, 2022, "Infinite Markov pooling of predictive distributions," Journal of Econometrics, Elsevier, volume 228, issue 2, pages 302-321, DOI: 10.1016/j.jeconom.2021.10.010.
• Wan, Runqing & Fulop, Andras & Li, Junye, 2022, "Real-time Bayesian learning and bond return predictability," Journal of Econometrics, Elsevier, volume 230, issue 1, pages 114-130, DOI: 10.1016/j.jeconom.2020.04.052.
• Ando, Tomohiro & Bai, Jushan & Li, Kunpeng, 2022, "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity," Journal of Econometrics, Elsevier, volume 230, issue 1, pages 20-38, DOI: 10.1016/j.jeconom.2020.11.013.
• Fan, Jianqing & Jiang, Bai & Sun, Qiang, 2022, "Bayesian factor-adjusted sparse regression," Journal of Econometrics, Elsevier, volume 230, issue 1, pages 3-19, DOI: 10.1016/j.jeconom.2020.06.012.
• Liu, Xiaobin & Li, Yong & Yu, Jun & Zeng, Tao, 2022, "Posterior-based Wald-type statistics for hypothesis testing," Journal of Econometrics, Elsevier, volume 230, issue 1, pages 83-113, DOI: 10.1016/j.jeconom.2021.11.003.
• Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022, "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, volume 230, issue 2, pages 281-298, DOI: 10.1016/j.jeconom.2021.04.004.