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)

2018

• Raputsoane, Leroi, 2018, "Quantifying economic recovery from the recent global financial crisis," MPRA Paper, University Library of Munich, Germany, number 87410, Jun.
• Koop, Gary & Korobilis, Dimitris, 2018, "Variational Bayes inference in high-dimensional time-varying parameter models," MPRA Paper, University Library of Munich, Germany, number 87972, Jul.
• Kruiniger, Hugo, 2018, "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper, University Library of Munich, Germany, number 88623, Jun.
• Blazejowski, Marcin & Kufel, Paweł & Kwiatkowski, Jacek, 2018, "Model simplification and variable selection: A Replication of the UK inflation model by Hendry (2001)," MPRA Paper, University Library of Munich, Germany, number 88745, Aug.
• Legrand, Romain, 2018, "Time-Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean," MPRA Paper, University Library of Munich, Germany, number 88925, Sep.
• CHAFIK, Omar, 2018, "Financial cycle and conduct of monetary policy: theory and empirical evidence," MPRA Paper, University Library of Munich, Germany, number 88995, Sep.
• CHAFIK, Omar, 2018, "Financial cycle and conduct of monetary policy: The amplifier/divider theory," MPRA Paper, University Library of Munich, Germany, number 89170, Sep.
• bailek, Alexandra, 2018, "Economic Impact Analysis of Hospital Readmission Rate and Service Quality Using Machine Learning," MPRA Paper, University Library of Munich, Germany, number 89875, Oct.
• Buncic, Daniel & Stern, Cord, 2018, "Forecast ranked tailored equity portfolios," MPRA Paper, University Library of Munich, Germany, number 90382, Nov.
• Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018, "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper, University Library of Munich, Germany, number 91136, May.
• Drissi, Ramzi & Ghassan, Hassan B., 2018, "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper, University Library of Munich, Germany, number 93075, Mar, revised Apr 2019.
• Drissi, Ramzi & Ghassan, Hassan Belkacem, 2018, "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper, University Library of Munich, Germany, number 95174, Mar, revised Apr 2019.
• Elie Bouri & Mahamitra Das & Rangan Gupta & David Roubaud, 2018, "Spillovers between Bitcoin and other Assets during Bear and Bull Markets," Working Papers, University of Pretoria, Department of Economics, number 201812, Feb.
• Milan Fičura & Jiří Witzany, 2018, "Use of Adapted Particle Filters in SVJD Models," European Financial and Accounting Journal, Prague University of Economics and Business, volume 2018, issue 3, pages 5-20, DOI: 10.18267/j.efaj.211.
• Łukasz Lenart, 2018, "Bayesian inference for deterministic cycle with time-varying amplitude: the case of growth cycle in European countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 10, issue 3, pages 233-262, September.
• António Santos & João Amador, 2018, "Thirty Years of Economic Growth in Africa," Working Papers, Banco de Portugal, Economics and Research Department, number w201820.
• Haroon Mumtaz, 2018, "A generalised stochastic volatility in mean VAR," Working Papers, Queen Mary University of London, School of Economics and Finance, number 855, Mar.
• Haroon Mumtaz, 2018, "Measuring the origins of macroeconomic uncertainty," Working Papers, Queen Mary University of London, School of Economics and Finance, number 864, Aug.
• Haroon Mumtaz & Katerina Petrova, 2018, "Changing impact of shocks: a time-varying proxy SVAR approach," Working Papers, Queen Mary University of London, School of Economics and Finance, number 875, Nov.
• Martin Bruns & Michele Piffer, 2018, "Bayesian Structural VAR models: a new approach for prior beliefs on impulse responses," Working Papers, Queen Mary University of London, School of Economics and Finance, number 878, Nov.
• Anne, Musson & Damien, Rousselière, 2018, "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers SMART, INRAE UMR SMART, number 18-07.
• Gutiérrez, Ana Paola & Pérez, Fernando, 2018, "Choques agregados y sectoriales en la economía peruana," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 35, pages 29-53.
• Pérez-Forero, Fernando, 2018, "Measuring the Stance of Monetary Policy in a Time-Varying World," Working Papers, Banco Central de Reserva del Perú, number 2018-004, Apr.
• Gondo, Rocío & Pérez, Fernando, 2018, "The Transmission of Exogenous Commodity and Oil Prices shocks to Latin America - A Panel VAR approach," Working Papers, Banco Central de Reserva del Perú, number 2018-012, Dec.
• Alban Moura, 2018, "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, volume 27, pages 48-63, January, DOI: 10.1016/j.red.2017.11.004.
• Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2018, "Monetary Policy and Macroeconomic Stability Revisited," 2018 Meeting Papers, Society for Economic Dynamics, number 219.
• Alexander Richter & Nathaniel Throckmorton, 2018, "A New Way to Quantify the Effect of Uncertainty," 2018 Meeting Papers, Society for Economic Dynamics, number 565.
• Nikolay Arefiev & Ramis Khabibullin, 2018, "Bayesian identification of structural vector autoregression models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 49, pages 115-142.
• Jawad EL OTHMANI, 2018, "Estimation bayésienne d’un modèle néo-keynésien pour l’économie marocaine," Document de travail, Bank Al-Maghrib, Département de la Recherche, number 2018-5, Dec.
• Maryam Barzegar Marvasti & Behzad Salmani & Seyed Alireza Kazerooni & Parviz Mohammadzadeh, 2018, "Determinants of Exchange Market Pressures in Different Exchange Rate Regimes: Bayesian Model Averaging Evidence," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 5, issue 1, pages 159-182.
• Ali Besharat & Reza Ranjpour & Seyed Kamal Sadeghi, 2018, "The Study of the Most Effective Factors Explaining Economic Growth in OIC Countries: Bayesian Panel Likelihood Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 5, issue 3, pages 239-263.
• Florian Huber & Michael Pfarrhofer & Thomas O. Z√∂rner, 2018, "Stochastic model specification in Markov switching vector error correction models," Working Papers in Economics, University of Salzburg, number 2018-3, Nov.
• Manfred M. Fischer & Florian Huber & Michael Pfarrhofer, 2018, "The transmission of uncertainty shocks on income inequality: State-level evidence from the United States," Working Papers in Economics, University of Salzburg, number 2018-4, Nov.
• Florian Huber & Gregor Kastner & Martin Feldkircher, 2018, "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Working Papers in Economics, University of Salzburg, number 2018-5, Nov.
• Manfred M. Fischer & Florian Huber & Michael Pfarrhofer & Petra Staufer-Steinnocher, 2018, "The dynamic impact of monetary policy on regional housing prices in the United States," Working Papers in Economics, University of Salzburg, number 2018-7, Nov.
• Yong Li & Jun Yu & Tao Zeng, 2018, "Integrated Deviance Information Criterion for Latent Variable Models," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 6-2018, Feb.
• Yong Li & Xiaobin Liu & Tao Zeng & Jun Yu, 2018, "A Posterior-Based Wald-Type Statistic for Hypothesis Testing," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 8-2018, May.
• Yiu Lim Lui & Weilin Xiao & Jun Yu, 2018, "The Grid Bootstrap for Continuous Time Models," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 20-2018, Nov.
• Yuang Shiang CHAO, 2018, "Risk Management and Diversification Strategy to Evaluate MNE Systematic Risk in Emerging Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 3, pages 131-152, September.
• Luis Jose S. Santos & Shirlee R. Ocampo, 2018, "Bayesian Method with Clustering Algorithm for Credit Card Transaction Fraud Detection," Romanian Statistical Review, Romanian Statistical Review, volume 66, issue 1, pages 103-120, March.
• Oyebayo Ridwan Olaniran & Mohd Asrul Affendi Bin Abdullah, 2018, "BayesRandomForest: An R implementation of Bayesian Random Forest for Regression Analysis of High-dimensional Data," Romanian Statistical Review, Romanian Statistical Review, volume 66, issue 1, pages 95-102, March.
• Martin Iseringhausen, 2018, "The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility Stochastic Skewness Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 18/944, Mar.
• Nitin Kumar & Arvind Shrivastava & D. P. Singh & Purnendu Kumar, 2018, "Determinants of Financial Stress of Indian Banks," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, volume 19, issue 2, pages 210-228, September, DOI: 10.1177/1391561418794695.
• Tomá? Karel & Petr Hebák, 2018, "Forecasting Czech GDP using Bayesian dynamic model averaging," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 7, issue 1, pages 65-81, May.
• Rolando Gonzales Martinez, 2018, "The Wage Curve, Once More with Feeling: Bayesian Model Averaging of Heckit Models," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, volume 3, issue 2, pages 79-92, December, DOI: 10.33119/ERFIN.2018.3.2.1.
• Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2018, "Forecasting the production side of GDP," Working Papers, Swiss National Bank, number 2018-16.
• Donald J. Lacombe & James P. LeSage, 2018, "Use and interpretation of spatial autoregressive probit models," The Annals of Regional Science, Springer;Western Regional Science Association, volume 60, issue 1, pages 1-24, January, DOI: 10.1007/s00168-015-0705-x.
• Kota Ogasawara & Shinichiro Shirota & Genya Kobayashi, 2018, "Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), volume 12, issue 1, pages 1-31, January, DOI: 10.1007/s11698-016-0148-3.
• L. C. G. Rogers, 2018, "Sense, nonsense and the S&P500," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 41, issue 2, pages 447-461, November, DOI: 10.1007/s10203-018-0230-3.
• Guohua Feng & Chuan Wang & Apostolos Serletis, 2018, "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, volume 54, issue 1, pages 231-258, February, DOI: 10.1007/s00181-016-1217-y.
• Scott E. Atkinson & Mike G. Tsionas, 2018, "Shadow directional distance functions with bads: GMM estimation of optimal directions and efficiencies," Empirical Economics, Springer, volume 54, issue 1, pages 207-230, February, DOI: 10.1007/s00181-017-1233-6.
• Wen-Hsien Liu & Shu-Shih Weng, 2018, "On predicting the semiconductor industry cycle: a Bayesian model averaging approach," Empirical Economics, Springer, volume 54, issue 2, pages 673-703, March, DOI: 10.1007/s00181-016-1198-x.
• Kuo-Jung Lee & Yi-Chi Chen, 2018, "Of needles and haystacks: revisiting growth determinants by robust Bayesian variable selection," Empirical Economics, Springer, volume 54, issue 4, pages 1517-1547, June, DOI: 10.1007/s00181-017-1271-0.
• James P. LeSage & R. Kelley Pace, 2018, "Spatial econometric Monte Carlo studies: raising the bar," Empirical Economics, Springer, volume 55, issue 1, pages 17-34, August, DOI: 10.1007/s00181-017-1330-6.
• Aubrey Poon, 2018, "The transmission mechanism of Malaysian monetary policy: a time-varying vector autoregression approach," Empirical Economics, Springer, volume 55, issue 2, pages 417-444, September, DOI: 10.1007/s00181-017-1280-z.
• Giulia Rivolta, 2018, "Potential ECB reaction functions with time-varying parameters: an assessment," Empirical Economics, Springer, volume 55, issue 4, pages 1425-1473, December, DOI: 10.1007/s00181-017-1337-z.
• Lucia dalla Pellegrina & Margherita Saraceno & Mattia Suardi, 2018, "Migration policy: did an emergency provision displace standard rules? Evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, volume 35, issue 3, pages 863-893, December, DOI: 10.1007/s40888-018-0128-0.
• Philippe K. Widmer & Maria Trottmann & Peter Zweifel, 2018, "Choice of reserve capacity by hospitals: a problem for prospective payment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 19, issue 5, pages 663-673, June, DOI: 10.1007/s10198-017-0909-3.
• Fritz Breuss, 2018, "Would DSGE Models Have Predicted the Great Recession in Austria?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 14, issue 1, pages 105-126, April, DOI: 10.1007/s41549-018-0025-1.
• Yoshihiro Ohtsuka, 2018, "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 14, issue 1, pages 143-178, April, DOI: 10.1007/s41549-018-0027-z.
• Vugar Ahmadov & Salman Huseynov & Shaig Adigozalov & Fuad Mammadov & Vugar Rahimov, 2018, "Forecasting inflation in post-oil boom years: A case for regime switches?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 42, issue 2, pages 369-385, April, DOI: 10.1007/s12197-017-9410-1.
• Andrew T. Ching & Masakazu Ishihara, 2018, "Identification of Dynamic Models of Rewards Programme," The Japanese Economic Review, Springer, volume 69, issue 3, pages 306-323, September, DOI: 10.1111/jere.12188.
• Carlos Cuerpo & Ángel Cuevas & Enrique M. Quilis, 2018, "Estimating output gap: a beauty contest approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, volume 9, issue 3, pages 275-304, August, DOI: 10.1007/s13209-018-0181-5.
• Herculano, Miguel C., 2018, "The role of contagion in the transmission of financial stress," ESRB Working Paper Series, European Systemic Risk Board, number 81, Aug.
• Elie Bouri & Mahamitra Das & Rangan Gupta & David Roubaud, 2018, "Spillovers between Bitcoin and other assets during bear and bull markets," Applied Economics, Taylor & Francis Journals, volume 50, issue 55, pages 5935-5949, November, DOI: 10.1080/00036846.2018.1488075.
• Tomasz Woźniak, 2018, "Granger-causal analysis of GARCH models: A Bayesian approach," Econometric Reviews, Taylor & Francis Journals, volume 37, issue 4, pages 325-346, April, DOI: 10.1080/07474938.2015.1092839.
• Joshua C. C. Chan, 2018, "Specification tests for time-varying parameter models with stochastic volatility," Econometric Reviews, Taylor & Francis Journals, volume 37, issue 8, pages 807-823, September, DOI: 10.1080/07474938.2016.1167948.
• Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2018, "Combined Density Nowcasting in an Uncertain Economic Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 36, issue 1, pages 131-145, January, DOI: 10.1080/07350015.2015.1137760.
• Koskinen Hannu & Vilmunen Jouko, 2018, "Implications for Aggregate Inflation of Sectoral Asymmetries: An Empirical Implication," Working Papers, Tampere University, Faculty of Management and Business, Economics, number 1818, Feb.
• Fethi Ogunc & Mustafa Utku Ozmen & Cagri Sarikaya, 2018, "Inflation Dynamics in Turkey from a Bayesian Perspective," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 1810.
• Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018, "Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan," Working Papers, Tokyo Center for Economic Research, number e120, Mar.
• Shuffield Seyram Asafo, 2018, "The Macro-economy and Non-Performing Loans in Ghana: A BVAR approach," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, volume 11, issue 3, pages 65-72, December.
• Manabu Asai & Michael McAleer, 2018, "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 18-005/III, Jan.
• Marta Banbura & Andries van Vlodrop, 2018, "Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 18-025/IV, Mar.
• Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018, "Learning to Average Predictively over Good and Bad: Comment on: Using Stacking to Average Bayesian Predictive Distributions," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 18-063/III, Aug.
• Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018, "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 18-069/III, Sep.
• Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018, "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 18-076/III, Oct.
• Martin Burda & Remi Daviet, 2018, "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers, University of Toronto, Department of Economics, number tecipa-618, Sep.
• Francesco Bianchi & Leonardo Melosi, 2018, "Constrained Discretion and Central Bank Transparency," The Review of Economics and Statistics, MIT Press, volume 100, issue 1, pages 187-202, March.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018, "Measuring Uncertainty and Its Impact on the Economy," The Review of Economics and Statistics, MIT Press, volume 100, issue 5, pages 799-815, December.
• Juan Carlos Cuestas & Karsten Staehr & Javier Ordóñez, 2018, "Unit Labour Costs and the Dynamics of Output and Unemployment in the Southern European Crisis Countries," TUT Economic Research Series, Department of Finance and Economics, Tallinn University of Technology, number 41, Mar.
• Audrone Virbickaite & Hedibert F. Lopes & Maria Concepción Ausín & Pedro Galeano, 2018, "Particle Learning for Bayesian Semi-Parametric Stochastic Volatility Model," DEA Working Papers, Universitat de les Illes Balears, Departament d'Economía Aplicada, number 88.
• Audrone Virbickaite & Hedibert F. Lopes, 2018, "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers, Universitat de les Illes Balears, Departament d'Economía Aplicada, number 89.
• Manabu Asai & Michael McAleer, 2018, "Bayesian analysis of realized matrix-exponential GARCH models," Documentos de Trabajo del ICAE, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, number 2018-04, Jan.
• Joao Amador & Antonio R. dos Santos, 2018, "Thirty years of economic growth in Africa," NOVAFRICA Working Paper Series, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA, number wp1802.
• Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2018, "Reducing Dimensions in a Large TVP-VAR," Working Paper Series, Economics Discipline Group, UTS Business School, University of Technology, Sydney, number 43, Mar.
• Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018, "Composite Likelihood Methods for Large Bayesian VARs with Stochastic Volatility," Working Paper Series, Economics Discipline Group, UTS Business School, University of Technology, Sydney, number 44, May.
• Mengheng Li & Marcel Scharth, 2018, "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series, Economics Discipline Group, UTS Business School, University of Technology, Sydney, number 49, Aug.
• Gheno Gloria, 2018, "A new link function for the prediction of binary variables," Croatian Review of Economic, Business and Social Statistics, Sciendo, volume 4, issue 2, pages 67-77, November, DOI: 10.2478/crebss-2018-0014.
• Martin Feldkircher & Florian Huber & Gregor Kastner, 2018, "Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp260, Jan.
• Feldkircher, Martin & Kastner, Gregor & Huber, Florian, 2018, "Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 260, Jan.
• Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael, 2018, "The transmission of uncertainty shocks on income inequality: State-level evidence from the United States," Working Papers in Regional Science, WU Vienna University of Economics and Business, number 2018/06.
• Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael & Staufer-Steinnocher, Petra, 2018, "The dynamic impact of monetary policy on regional housing prices in the United States," Working Papers in Regional Science, WU Vienna University of Economics and Business, number 2018/09, Nov.
• Frank Schorfheide & Dongho Song & Amir Yaron, 2018, "Identifying Long‐Run Risks: A Bayesian Mixed‐Frequency Approach," Econometrica, Econometric Society, volume 86, issue 2, pages 617-654, March, DOI: 10.3982/ECTA14308.
• Claudia Foroni & Francesco Furlanetto & Antoine Lepetit, 2018, "Labor Supply Factors And Economic Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, volume 59, issue 3, pages 1491-1510, August, DOI: 10.1111/iere.12311.
• John M. Maheu & Yong Song, 2018, "An efficient Bayesian approach to multiple structural change in multivariate time series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 33, issue 2, pages 251-270, March, DOI: 10.1002/jae.2606.
• Jia Liu & John M. Maheu, 2018, "Improving Markov switching models using realized variance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 33, issue 3, pages 297-318, April, DOI: 10.1002/jae.2605.
• Joshua C. C. Chan & Eric Eisenstat, 2018, "Bayesian model comparison for time‐varying parameter VARs with stochastic volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 33, issue 4, pages 509-532, June, DOI: 10.1002/jae.2617.
• Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018, "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, volume 50, issue 1, pages 5-53, February, DOI: 10.1111/jmcb.12452.
• Joshua C.C. Chan & Yong Song, 2018, "Measuring Inflation Expectations Uncertainty Using High‐Frequency Data," Journal of Money, Credit and Banking, Blackwell Publishing, volume 50, issue 6, pages 1139-1166, September, DOI: 10.1111/jmcb.12498.
• Anna Kormilitsina & Sarah Zubairy, 2018, "Propagation Mechanisms for Government Spending Shocks: A Bayesian Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, volume 50, issue 7, pages 1571-1616, October, DOI: 10.1111/jmcb.12555.
• Chih‐Sheng Hsieh & Hans van Kippersluis, 2018, "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, volume 9, issue 2, pages 825-863, July, DOI: 10.3982/QE615.
• Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2018, "Financial and Fiscal Interaction in the Euro Area Crisis : This Time was Different," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1167.
• Baumeister, Christiane & Hamilton, James D., 2018, "Inference in structural vector auto regressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Bank of Finland Research Discussion Papers, Bank of Finland, number 14/2018.
• Tölö, Eero & Miettinen, Paavo, 2018, "How do shocks to bank capital affect lending and growth?," Bank of Finland Research Discussion Papers, Bank of Finland, number 25/2018.
• Siemsen, Thomas & Vilsmeier, Johannes, 2018, "On a quest for robustness: About model risk, randomness and discretion in credit risk stress tests," Discussion Papers, Deutsche Bundesbank, number 31/2018.
• Meinen, Philipp & Röhe, Oke, 2018, "To sign or not to sign? On the response of prices to financial and uncertainty shocks," Discussion Papers, Deutsche Bundesbank, number 33/2018.
• Koulovatianos, Christos & Mavridis, Dimitris, 2018, "Increasing taxes after a financial crisis: Not a bad idea after all ..," CFS Working Paper Series, Center for Financial Studies (CFS), number 614.
• Fearon, James D. & Humphreys, Macartan, 2018, "Why Do Women Co-Operate More in Women’s Groups?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 217-236, DOI: 10.1093/oso/9780198829591.003.0010.
• Meyer-Gohde, Alexander & Neuhoff, Daniel, 2018, "Generalized exogenous processes in DSGE: A Bayesian approach," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 125.
• Tryphonides, Andreas, 2018, "Learning from Errors: The case of monetary and fiscal policy regimes," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2018-022.
• Crespo-Cuaresma, Jesus & Schweinitz, Gregor von & Wendt, Katharina, 2018, "On the empirics of reserve requirements and economic growth," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 8/2018.
• Prüser, Jan & Schlösser, Alexander, 2018, "On the time-varying effects of economic policy uncertainty on the US economy," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 761, DOI: 10.4419/86788886.
• Blagov, Boris, 2018, "Exchange rate uncertainty and import prices in the euro area," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 789, DOI: 10.4419/86788917.
• Schüssler, Rainer & Beckmann, Joscha & Koop, Gary & Korobilis, Dimitris, 2018, "Exchange rate predictability and dynamic Bayesian learning," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181523.
• Wang, Mu-Chun, 2018, "Choosing Prior Hyperparameters: With Applications To Time-Varying Parameter Models," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181621.
• Krzysztof Beck, 2018, "Determinants Of Intra-Industry Trade: An Investigation With Bma For The European Union," CBU International Conference Proceedings, ISE Research Institute, volume 6, issue 0, pages 46-52, September, DOI: 10.12955/cbup.v6.1131.
• Mike K. P. So & Wing Ki Liu & Amanda M. Y. Chu, 2018, "Bayesian Shrinkage Estimation Of Time-Varying Covariance Matrices In Financial Time Series," Advances in Decision Sciences, Asia University, Taiwan, volume 22, issue 1, pages 369-404, December.
• Tom Engsted, 2018, "Frekvensbaserede versus bayesianske metoder i empirisk økonomi," Economics Working Papers, Department of Economics and Business Economics, Aarhus University, number 2018-07, Aug.
• Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018, "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-32, Dec.
• Kota Ogasawara & Shinichiro Shirota & Genya Kobayashi, 2018, "Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), volume 12, issue 1, pages 1-31, January, DOI: 10.1007/s11698-016-0148-3.
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