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)

2020

• Rangan Gupta & Jun Ma & Konstantinos Theodoridis & Mark E. Wohar, 2020, "Is there a National Housing Market Bubble Brewing in the United States?," Working Papers, University of Pretoria, Department of Economics, number 202023, Mar.
• Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2020, "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers, University of Pretoria, Department of Economics, number 202040, May.
• Xin Sheng & Rangan Gupta & Qiang Ji, 2020, "Forecasting Charge-Off Rates with a Panel Tobit Model: The Role of Uncertainty," Working Papers, University of Pretoria, Department of Economics, number 202092, Oct.
• Marek A. Dąbrowski & Łukasz Kwiatkowski & Justyna Wróblewska, 2020, "Sources of Real Exchange Rate Variability in Central and Eastern European Countries: Evidence from Structural Bayesian MSH-VAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 12, issue 4, pages 369-412, December.
• Haroon Mumtaz, 2020, "A Generalised Stochastic Volatility in Mean VAR. An Updated Algorithm," Working Papers, Queen Mary University of London, School of Economics and Finance, number 908, Jul.
• Leonardo N. Ferreira, 2020, "Forward Guidance Matters: Disentangling Monetary Policy Shocks," Working Papers, Queen Mary University of London, School of Economics and Finance, number 912, Sep.
• Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020, "Code and data files for "Monetary Policy and Macroeconomic Stability Revisited"," Computer Codes, Review of Economic Dynamics, number 19-271, revised .
• Anttonen, Jetro & Lehmus, Markku & Vihriälä, Vesa, 2020, "Weak Economic Conditions and the Objective of the Government Programme," ETLA Brief, The Research Institute of the Finnish Economy, number 86, Mar.
• Mortaza OJAGHLOU, 2020, "Dynamic Effects of Macroeconomic Fundamentals on Stock Market Movements: Evidence from BIST100," Bulletin of Economic Theory and Analysis, BETA Journals, volume 5, issue 2, pages 17-36.
• Mohammad Mehdi Zare Shahneh & Zahra Nasrollahi & Hojat Parsa, 2020, "The impact of gender inequality on macroeconomic variables in the framework of a DSGE model," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 7, issue 1, pages 29-60.
• Krzysztof DRACHAL, 2020, "Forecasting the Inflation Rate in Poland and U.S. Using Dynamic Model Averaging (DMA) and Google Queries," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 18-34, July.
• Joshua C. Hall & Donald J. Lacombe & Shree B. Pokharel, 2020, "State Exit Exams and Graduation Rates: A Hierarchical SLX Modelling Approach," The Review of Regional Studies, Southern Regional Science Association, volume 50, issue 2, pages 189-206, DOI: 10.52324/001c.12636.
• Ghassen El Montasser & Rangan Gupta & Jooste Charl & Stephen M. Miller, 2020, "The Time-series Linkages between US Fiscal Policy and Asset Prices," Public Finance Review, , volume 48, issue 3, pages 303-339, May, DOI: 10.1177/1091142120916032.
• Piotr Dybka, 2020, "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers, Warsaw School of Economics, Collegium of Economic Analysis, number 2020-053, Jul.
• Joonyoung Hur & Jong-Suk Han, 2020, "Effect of Monetary Policy on Government Spending Multiplier," Working Papers, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), number 2004.
• Nicolo Maffei Faccioli & Eugenia Vella, 2020, "The Asymmetric Unemployment Response of Natives and Foreigners to Migration Shocks," Working Papers, The University of Sheffield, Department of Economics, number 2020008, Aug.
• Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020, "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers, Swiss National Bank, number 2020-12.
• Gürkan BOZMA & Sinan KUL, 2020, "Can Twitter Forecast Uncertainty of Stocks?Abstract: Academic studies have shown that there is a relationship between emotional analysis results of tweets and stock price movements, and then stock pri," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
• Lei Shi, 2020, "Bayesian analysis of multivariate ordered probit model with individual heterogeneity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, volume 104, issue 4, pages 649-665, December, DOI: 10.1007/s10182-020-00369-2.
• Yuheng Ling, 2020, "Time, space and hedonic prediction accuracy: evidence from Corsican apartment markets," The Annals of Regional Science, Springer;Western Regional Science Association, volume 64, issue 2, pages 367-388, April, DOI: 10.1007/s00168-019-00967-2.
• Patrizia Berti & Emanuela Dreassi & Pietro Rigo, 2020, "A notion of conditional probability and some of its consequences," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 43, issue 1, pages 3-15, June, DOI: 10.1007/s10203-019-00256-9.
• Frank Lad & Giuseppe Sanfilippo, 2020, "Predictive distributions that mimic frequencies over a restricted subdomain," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 43, issue 1, pages 17-41, June, DOI: 10.1007/s10203-020-00281-z.
• Arianna Agosto & Paolo Giudici, 2020, "COVID-19 contagion and digital finance," Digital Finance, Springer, volume 2, issue 1, pages 159-167, September, DOI: 10.1007/s42521-020-00021-3.
• Jaeho Kim & Sora Chon, 2020, "Why are Bayesian trend-cycle decompositions of US real GDP so different?," Empirical Economics, Springer, volume 58, issue 3, pages 1339-1354, March, DOI: 10.1007/s00181-018-1554-0.
• Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020, "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, volume 58, issue 3, pages 1355-1380, March, DOI: 10.1007/s00181-018-1575-8.
• Xuejun Jiang & Yunxian Li & Aijun Yang & Ruowei Zhou, 2020, "Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk," Empirical Economics, Springer, volume 58, issue 5, pages 2085-2103, May, DOI: 10.1007/s00181-018-1615-4.
• Jan Prüser & Alexander Schlösser, 2020, "The effects of economic policy uncertainty on European economies: evidence from a TVP-FAVAR," Empirical Economics, Springer, volume 58, issue 6, pages 2889-2910, June, DOI: 10.1007/s00181-018-01619-8.
• Yasutomo Murasawa, 2020, "Measuring public inflation perceptions and expectations in the UK," Empirical Economics, Springer, volume 59, issue 1, pages 315-344, July, DOI: 10.1007/s00181-019-01675-8.
• Andrés Ramírez-Hassan, 2020, "Dynamic variable selection in dynamic logistic regression: an application to Internet subscription," Empirical Economics, Springer, volume 59, issue 2, pages 909-932, August, DOI: 10.1007/s00181-019-01644-1.
• Andros Kourtellos & Alex Lenkoski & Kyriakos Petrou, 2020, "Measuring the strength of the theories of government size," Empirical Economics, Springer, volume 59, issue 5, pages 2185-2222, November, DOI: 10.1007/s00181-019-01718-0.
• Sune Karlsson & Pär Österholm, 2020, "A note on the stability of the Swedish Phillips curve," Empirical Economics, Springer, volume 59, issue 6, pages 2573-2612, December, DOI: 10.1007/s00181-019-01746-w.
• Constantinos Kardaras & Johannes Ruf, 2020, "Filtration shrinkage, the structure of deflators, and failure of market completeness," Finance and Stochastics, Springer, volume 24, issue 4, pages 871-901, October, DOI: 10.1007/s00780-020-00435-2.
• Maren Hein & Peter Kurz & Winfried J. Steiner, 2020, "Analyzing the capabilities of the HB logit model for choice-based conjoint analysis: a simulation study," Journal of Business Economics, Springer, volume 90, issue 1, pages 1-36, February, DOI: 10.1007/s11573-019-00927-4.
• Edwin Fourrier-Nicolaï & Michel Lubrano, 2020, "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, volume 18, issue 1, pages 91-111, March, DOI: 10.1007/s10888-019-09426-6.
• Gan-Ochir Doojav & Kaliappa Kalirajan, 2020, "Financial Frictions and Shocks in an Estimated Small Open Economy DSGE Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 18, issue 2, pages 253-291, June, DOI: 10.1007/s40953-019-00179-7.
• Tamás Krisztin & Philipp Piribauer & Michael Wögerer, 2020, "The spatial econometrics of the coronavirus pandemic," Letters in Spatial and Resource Sciences, Springer, volume 13, issue 3, pages 209-218, December, DOI: 10.1007/s12076-020-00254-1.
• Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2020, "State dependence in labour market fluctuations," Working Papers, European Stability Mechanism, number 47, Dec.
• Vivek Srikrishnan & Yawen Guan & Klaus Keller & Richard S.J. Tol, 2020, "Fossil fuel resources, decarbonization, and economic growth drive the feasibility of Paris climate targets," Working Paper Series, Department of Economics, University of Sussex Business School, number 0620, Mar.
• Toni Beutler & Matthias Gubler & Simona Hauri & Sylvia Kaufmann, 2020, "Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time," Working Papers, Swiss National Bank, Study Center Gerzensee, number 20.04, Aug.
• Anne Musson & Damien Rousselière, 2020, "Exploring the effect of crisis on cooperatives: a Bayesian performance analysis of French craftsmen cooperatives," Applied Economics, Taylor & Francis Journals, volume 52, issue 25, pages 2657-2678, May, DOI: 10.1080/00036846.2019.1693699.
• Oğuzhan Çepni & Rangan Gupta & Mark E. Wohar, 2020, "The role of real estate uncertainty in predicting US home sales growth: evidence from a quantiles-based Bayesian model averaging approach," Applied Economics, Taylor & Francis Journals, volume 52, issue 5, pages 528-536, January, DOI: 10.1080/00036846.2019.1654082.
• Xingwei Hu, 2020, "A theory of dichotomous valuation with applications to variable selection," Econometric Reviews, Taylor & Francis Journals, volume 39, issue 10, pages 1075-1099, November, DOI: 10.1080/07474938.2020.1735750.
• F. Di Iorio & M. Letizia Giorgetti, 2020, "Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector," Industry and Innovation, Taylor & Francis Journals, volume 27, issue 7, pages 789-803, August, DOI: 10.1080/13662716.2019.1685373.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020, "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, volume 115, issue 531, pages 1092-1110, July, DOI: 10.1080/01621459.2019.1660171.
• Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2020, "Choosing Prior Hyperparameters: With Applications to Time-Varying Parameter Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 38, issue 1, pages 124-136, January, DOI: 10.1080/07350015.2018.1459302.
• Joshua C. C. Chan, 2020, "Large Bayesian VARs: A Flexible Kronecker Error Covariance Structure," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 38, issue 1, pages 68-79, January, DOI: 10.1080/07350015.2018.1451336.
• Minchul Shin & Molin Zhong, 2020, "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 38, issue 2, pages 367-379, April, DOI: 10.1080/07350015.2018.1506342.
• Leif Anders Thorsrud, 2020, "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 38, issue 2, pages 393-409, April, DOI: 10.1080/07350015.2018.1506344.
• Eduard Sariev & Guido Germano, 2020, "Bayesian regularized artificial neural networks for the estimation of the probability of default," Quantitative Finance, Taylor & Francis Journals, volume 20, issue 2, pages 311-328, February, DOI: 10.1080/14697688.2019.1633014.
• Zhang, Bo & Nguyen, Bao H., 2020, "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers, University of Tasmania, Tasmanian School of Business and Economics, number 2020-12.
• Tayyar Buyukbasaran & Cem Cebi & Erdal Yilmaz, 2020, "Interaction of monetary and fiscal policies in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, volume 20, issue 4, pages 193-203.
• Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2020, "Estimating a Nonlinear New Keynesian Model with the Zero Lower Bound for Japan," Working Papers, Tokyo Center for Economic Research, number e154, Dec.
• Beqiraj Elton & Di Bartolomeo Giovanni & Di Pietro Marco, 2020, "Price and wage inflation persistence across countries and monetary regimes," wp.comunite, Department of Communication, University of Teramo, number 00150, Dec.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020, "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 20-015/III, Mar.
• Masako Ikefuji & Jan R. Magnus, 2020, "The perception of climate sensitivity: Revealing priors from posteriors," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 20-046/III, Jul.
• Anoek Castelein & Dennis Fok & Richard Paap, 2020, "Heterogeneous variable selection in nonlinear panel data models: A semiparametric Bayesian approach," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 20-061/III, Sep.
• Eijffinger, Sylvester & Grajales Olarte, Anderson & Uras, Burak, 2020, "Heterogeneity in wage setting behavior in a New-Keynesian Model," Other publications TiSEM, Tilburg University, School of Economics and Management, number 24069cb1-ed64-4367-9a37-b.
• George Monokroussos & Yongchen Zhao, 2020, "Nowcasting in Real Time Using Popularity Priors," Working Papers, Towson University, Department of Economics, number 2020-01, Feb, revised Feb 2020.
• Katarzyna Anna BARAN, 2020, "The Impact of Macroeconomic and Institutional Factors on Economic Growth in the CEE-4 Countries," Journal of Economics and Financial Analysis, Tripal Publishing House, volume 4, issue 2, pages 1-26, DOI: 10.1991/jefa.v4i2.a34.
• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020, "Has the information channel of monetary policy disappeared? Revisiting the empirical evidence," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1701, Feb, revised Jul 2021.
• Alice Albonico & Guido Ascari & Qazi Haque, 2020, "The (Ir)Relevance of Rule-of-Thumb Consumers for U.S. Business Cycle Fluctuations," Economics Discussion / Working Papers, The University of Western Australia, Department of Economics, number 20-26.
• Riccardo (Jack) Lucchetti & Luca Pedini, 2020, "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2020:28.
• Lee Changro & Park Keith Key-Ho, 2020, "Representing Uncertainty in Property Valuation Through a Bayesian Deep Learning Approach," Real Estate Management and Valuation, Sciendo, volume 28, issue 4, pages 15-23, December, DOI: 10.1515/remav-2020-0028.
• David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020, "Bayesian assessment of Lorenz and stochastic dominance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, volume 53, issue 2, pages 767-799, May, DOI: 10.1111/caje.12443.
• Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020, "Forecasting With Dynamic Panel Data Models," Econometrica, Econometric Society, volume 88, issue 1, pages 171-201, January, DOI: 10.3982/ECTA14952.
• Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2020, "State Dependence In Labor Market Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, volume 61, issue 3, pages 1027-1072, August, DOI: 10.1111/iere.12448.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020, "Assessing international commonality in macroeconomic uncertainty and its effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 3, pages 273-293, April, DOI: 10.1002/jae.2750.
• Joscha Beckmann & Gary Koop & Dimitris Korobilis & Rainer Alexander Schüssler, 2020, "Exchange rate predictability and dynamic Bayesian learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 4, pages 410-421, June, DOI: 10.1002/jae.2761.
• Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020, "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 5, pages 645-652, August, DOI: 10.1002/jae.2760.
• Joshua C. C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2020, "Composite likelihood methods for large Bayesian VARs with stochastic volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 6, pages 692-711, September, DOI: 10.1002/jae.2793.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2020, "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," Journal of Forecasting, John Wiley & Sons, Ltd., volume 39, issue 6, pages 934-943, September, DOI: 10.1002/for.2660.
• Drew D. Creal & Jing Cynthia Wu, 2020, "Bond risk premia in consumption‐based models," Quantitative Economics, Econometric Society, volume 11, issue 4, pages 1461-1484, November, DOI: 10.3982/QE887.
• Elmar Mertens & James M. Nason, 2020, "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, volume 11, issue 4, pages 1485-1520, November, DOI: 10.3982/QE980.
• Joshua C. Hall & Donald J. Lacombe & Shree B. Pokharel, 2020, "State Exit Exams and Graduation Rates: A Hierarchical SLX Modelling Approach," Working Papers, Department of Economics, West Virginia University, number 20-05, Apr.
• Milan Deskar-Škrbić & Ana Grdović Gnip & Hrvoje Šimović, 2020, "Makroekonomski učinci diskrecijskih izmjena u sustavu poreza na dodanu vrijednost (PDV) u Hrvatskoj: narativni pristup," EFZG Working Papers Series, Faculty of Economics and Business, University of Zagreb, number 2002, Feb.
• Andrea Lučić, 2020, "Utjecaj perciprianog pritiska interesno-utjecajnih skupina na elemente održive marketinške orijentacije hrvatskih poduzeća," EFZG Working Papers Series, Faculty of Economics and Business, University of Zagreb, number 2004, Jun.
• Lubik, Thomas A. & Matthes, Christian & Mertens, Elmar, 2020, "Indeterminacy and imperfect information," Discussion Papers, Deutsche Bundesbank, number 01/2020.
• Roth, Markus, 2020, "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers, Deutsche Bundesbank, number 06/2020.
• Hartwig, Benny, 2020, "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers, Deutsche Bundesbank, number 34/2020.
• Böhl, Gregor & Strobel, Felix, 2020, "US business cycle dynamics at the zero lower bound," Discussion Papers, Deutsche Bundesbank, number 65/2020.
• Barron, Kai, 2021, "Belief updating: does the 'good-news, bad-news' asymmetry extend to purely financial domains?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 24, issue 1, pages 31-58, DOI: 10.1007/s10683-020-09653-z.
• Heinrich, Markus, 2020, "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 219312.
• Martínez-Hernández, Catalina, 2020, "Disentangling the effects of multidimensional monetary policy on inflation and inflation expectations in the euro area," Discussion Papers, Free University Berlin, School of Business & Economics, number 2020/18, DOI: 10.17169/refubium-28493.
• Böhl, Gregor & Strobel, Felix, 2020, "US business cycle dynamics at the zero lower bound," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 143.
• Farkas, Mátyás & Tatar, Balint, 2020, "Bayesian estimation of DSGE models with Hamiltonian Monte Carlo," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 144.
• Ettmeier, Stephanie & Kriwoluzky, Alexander, 2020, "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," Working Papers, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin, number 17, DOI: 10.18452/21404.
• Schlösser, Alexander, 2020, "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 838, DOI: 10.4419/86788971.
• Kaeding, Matthias, 2020, "Efficient Bayesian nonparametric hazard regression," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 850, DOI: 10.4419/86788985.
• Prüser, Jan & Schmidt, Torsten, 2020, "Regional composition of national house price cycles in the US," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 853, DOI: 10.4419/86788989.
• Hartwig, Benny, 2020, "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics, Verein für Socialpolitik / German Economic Association, number 224528.
• Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020, "Natural rate chimera and bond pricing reality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics, Verein für Socialpolitik / German Economic Association, number 224546.
• Barron, Kai, 2020, "Belief updating: Does the 'good-news, bad-news' asymmetry extend to purely financial domains?," Discussion Papers, Research Unit: Economics of Change, WZB Berlin Social Science Center, number SP II 2016-309r2, revised 2020.
• Sylvia Blom & Ariel Ortiz-Bobea & John Hoddinott, 2019, "Working Paper 315 - Temperature and Children’s Nutrition: Evidence from West Africa," Working Paper Series, African Development Bank, number 2441, Aug.
• Andinet Woldemichael, 2020, "Working Paper 332 - The Impacts of Community-Based Health Insurance on Poverty Reduction," Working Paper Series, African Development Bank, number 2458, May.
• Jan Johannes & Anna Simoni & Rudolf Schenk, 2020, "Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models," Annals of Economics and Statistics, GENES, issue 137, pages 83-116, DOI: 10.15609/annaeconstat2009.137.0083.
• Mark F. J. Steel, 2020, "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, volume 58, issue 3, pages 644-719, September, DOI: 10.1257/jel.20191385.
• Guignet, Dennis & Moore, Christopher & Wang, Haoluan, 2020, "Hot Spots, Cold Feet, and Warm Glow: Identifying Spatial Heterogeneity in Willingness to Pay," National Center for Environmental Economics-NCEE Working Papers, United States Environmental Protection Agency (EPA), number 307894, Mar, DOI: 10.22004/ag.econ.307894.
• Edwin Fourrier-Nicolai & Michel Lubrano, 2020, "Bayesian Inference for Distributional Changes: The Effect of Western TV on Wage Inequality and Female Participation in Former East Germany," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2027, Jul.
• Sultan RAMAZANOV & Ludmila STEMPLEWSKA, 2020, "Decision-making in conditions of dilemma: risks and mixed information uncertainty," Access Journal, Access Press Publishing House, volume 1, issue 2, pages 112-121, September, DOI: 10.46656/access.2020.1.2(3).
• Alisher Tolepbergen, 2020, "The role of labor market structure and shocks for monetary policy in Kazakhstan," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 10, Dec, revised Jan 2021.
• Erlan Konebayev, 2020, "Estimation of a Small Open Economy DSGE Model for Kazakhstan," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 6, Sep.
• Nurdaulet Abilov, 2020, "A medium-scale Bayesian DSGE model for Kazakhstan with incomplete exchange rate pass-through," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 7, Dec, revised Apr 2021.
• Nurdaulet Abilov, 2020, "The role of banking and credit in business cycle fluctuations in Kazakhstan," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 8, Dec, revised Jan 2021.
• Орлов К.В. // Orlov K.V. & Жузбаев А.М. // Zhuzbayev A.M. & Мекенбаева К.Б. // Mekenbayeva K.B. & Самат М.Н. // Samat M.N. & Букенов А.Е. // Bukenov A.E. & Сейдахметов А.Н. // Seidakhmetov A.N., 2020, "Обзорная статья по Динамическим стохастическим моделям общего равновесия (DSGE) // Review on DSGE models," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 4, pages 4-40.
• Haykaz Igityan, 2016, "Migration in the Estimated New Keynesian DSGE Model for Armenia and Russia," Working Papers, Central Bank of Armenia, number 6, Sep.
• Haykaz Igityan & Hovhannes Manukyan, 2020, "Fitting Armenian Data to the Simple DSGE Model with Permanent Productivity Growth," Working Papers, Central Bank of Armenia, number 14, Jan.
• Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020, "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers, arXiv.org, number 2001.09295, Jan.
• Timothy B. Armstrong & Michal Koles'ar & Mikkel Plagborg-M{o}ller, 2020, "Robust Empirical Bayes Confidence Intervals," Papers, arXiv.org, number 2004.03448, Apr, revised May 2022.
• Dimitris Korobilis, 2020, "High-dimensional macroeconomic forecasting using message passing algorithms," Papers, arXiv.org, number 2004.11485, Apr.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Papers, arXiv.org, number 2004.11486, Apr.
• Niko Hauzenberger & Florian Huber & Gary Koop, 2020, "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Papers, arXiv.org, number 2005.03906, May, revised May 2023.
• Navin Kartik & Frances Lee & Wing Suen, 2020, "Information Validates the Prior: A Theorem on Bayesian Updating and Applications," Papers, arXiv.org, number 2005.05714, May, revised Jul 2020.
• Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2020, "A Model of the Fed's View on Inflation," Papers, arXiv.org, number 2006.14110, Jun.
• Ruben Loaiza-Maya & Didier Nibbering, 2020, "Scalable Bayesian estimation in the multinomial probit model," Papers, arXiv.org, number 2007.13247, Jul, revised Mar 2021.
• Claudia Foroni & Francesco Ravazzolo & Luca Rossini, 2020, "Are low frequency macroeconomic variables important for high frequency electricity prices?," Papers, arXiv.org, number 2007.13566, Jul, revised Dec 2022.
• Florian Huber & Gary Koop & Luca Onorante & Michael Pfarrhofer & Josef Schreiner, 2020, "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Papers, arXiv.org, number 2008.12706, Aug, revised Dec 2020.
• Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2020, "Heterogeneity in Food Expenditure amongst US families: Evidence from Longitudinal Quantile Regression," Papers, arXiv.org, number 2010.02614, Oct.
• Tam'as Krisztin & Philipp Piribauer, 2020, "Modeling European regional FDI flows using a Bayesian spatial Poisson interaction model," Papers, arXiv.org, number 2010.14856, Oct.
• David Kohns & Arnab Bhattacharjee, 2020, "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers, arXiv.org, number 2011.00938, Nov, revised May 2022.
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• Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2020, "Revisiting the fiscal theory of sovereign risk from a DSGE viewpoint," BCAM Working Papers, Birkbeck Centre for Applied Macroeconomics, number 2001, Feb.
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