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

• 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.
• Musson, Anne & Rousselière, Damien, 2018, "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2), number 279350, DOI: 10.22004/ag.econ.279350.
• Tareq Sadeq & Michel Lubrano, 2018, "The Wall’s Impact in the Occupied West Bank: A Bayesian Approach to Poverty Dynamics Using Repeated Cross-Sections," AMSE Working Papers, Aix-Marseille School of Economics, France, number 1836, Nov.
• Marcin Blazejowski & Jacek Kwiatkowski, 2018, "Bayesian Averaging of Classical Estimates (BACE) for gretl," gretl working papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 6, Aug.
• Michael Stanley Smith & Thomas S. Shively, 2018, "Econometric Modeling of Regional Electricity Spot Prices in the Australian Market," Papers, arXiv.org, number 1804.08218, Apr.
• Laura Liu, 2018, "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers, arXiv.org, number 1805.04178, May, revised Oct 2021.
• Florian Huber & Gregor Kastner & Michael Pfarrhofer, 2018, "Introducing shrinkage in heavy-tailed state space models to predict equity excess returns," Papers, arXiv.org, number 1805.12217, May, revised Jul 2019.
• Andriy Norets & Justinas Pelenis, 2018, "Adaptive Bayesian Estimation of Mixed Discrete-Continuous Distributions under Smoothness and Sparsity," Papers, arXiv.org, number 1806.07484, Jun.
• Manfred M. Fischer & Florian Huber & Michael Pfarrhofer, 2018, "The transmission of uncertainty shocks on income inequality: State-level evidence from the United States," Papers, arXiv.org, number 1806.08278, Jun.
• Niko Hauzenberger & Florian Huber & Michael Pfarrhofer & Thomas O. Zorner, 2018, "Stochastic model specification in Markov switching vector error correction models," Papers, arXiv.org, number 1807.00529, Jul, revised Sep 2019.
• Gary Koop & Dimitris Korobilis, 2018, "Bayesian dynamic variable selection in high dimensions," Papers, arXiv.org, number 1809.03031, Sep, revised May 2020.
• Helmut Lutkepohl & Tomasz Wo'zniak, 2018, "Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching Heteroskedasticity," Papers, arXiv.org, number 1811.08167, Nov.
• Cheok Mui Yee & Edward Wong Sek Khin & Kamisah Ismail, 2018, "Determinants of employees’ psychological ownership on budgetary slack," The Audit Financiar journal, Chamber of Financial Auditors of Romania, volume 16, issue 149, pages 122-122, February.
• Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2018, "State Dependence in Labor Market Fluctuations: Evidence,Theory, and Policy Implications," BCAM Working Papers, Birkbeck Centre for Applied Macroeconomics, number 1801, Aug.
• Luis Uzeda, 2018, "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers, Bank of Canada, number 18-14, DOI: 10.34989/swp-2018-14.
• Thibaut Duprey, 2018, "Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities," Staff Analytical Notes, Bank of Canada, number 2018-6, DOI: 10.34989/san-2018-6.
• Angelo Marsiglia Fasolo, 2018, "Monetary Policy Volatility Shocks in Brazil," Working Papers Series, Central Bank of Brazil, Research Department, number 480, Aug.
• Fernando Linardi & Cees Diks & Marco van der Leij & Iuri Lazier, 2018, "Dynamic Interbank Network Analysis Using Latent Space Models," Working Papers Series, Central Bank of Brazil, Research Department, number 487, Nov.
• Lorena Garegnani & Mauricio Gómez Aguirre, 2018, "Forecasting Inflation in Argentina," BCRA Working Paper Series, Central Bank of Argentina, Economic Research Department, number 201879, May.
• Ignacio Hernando & Irene Pablos & Daniel Santabárbara & Javier Vallés, 2018, "Private saving. New cross-country evidencebased on bayesian techniques," Working Papers, Banco de España, number 1802, Jan.
• Lorenzo Burlon & Alessandro Notarpietro & Massimiliano Pisani, 2018, "Exchange rate pass-through into euro area inflation. An estimated structural model," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1192, Sep.
• Eddie Gerba, 2018, "What is the Fiscal Stress in Euro Area? Evidence from a Joint Monetary-Fiscal Structural Model," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, volume 36, issue 85, pages 21-47, April, DOI: 10.32468/Espe.8502.
• Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018, "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, volume 36, issue 85, pages 48-64, April, DOI: 10.32468/Espe.8503.
• Todd B. Walker, 2018, "Inflation Targeting in Emerging Economies," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, volume 36, issue 85, pages 7-20, April, DOI: 10.32468/Espe.8501.
• Valerio Scalone, 2018, "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers, Banque de France, number 688.
• Timothée Stumpf-Fétizon & Omiros Papaspiliopoulos & José García-Montalvo, 2018, "Bayesian Forecasting of Electoral Outcomes with new Parties' Competition," Working Papers, Barcelona School of Economics, number 1065, Dec.
• Elmar Mertens & James M. Nason, 2018, "Inflation and professional forecast dynamics: an evaluation of stickiness, persistence, and volatility," BIS Working Papers, Bank for International Settlements, number 713, Apr.
• Michal Franta, 2018, "The likelihood of effective lower bound events," BIS Working Papers, Bank for International Settlements, number 731, Jun.
• Andrew T. Ching & Masakazu Ishihara, 2018, "Identification of Dynamic Models of Rewards Programme," The Japanese Economic Review, Japanese Economic Association, volume 69, issue 3, pages 306-323, September, DOI: 10.1111/jere.12188.
• Angela Abbate & Massimiliano Marcellino, 2018, "Point, interval and density forecasts of exchange rates with time varying parameter models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 181, issue 1, pages 155-179, January, DOI: 10.1111/rssa.12273.
• Daniel O. Beltran & David Draper, 2018, "Estimating dynamic macroeconomic models: how informative are the data?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, volume 67, issue 2, pages 501-520, February, DOI: 10.1111/rssc.12238.
• Luciana Dalla Valle & Fabrizio Leisen & Luca Rossini, 2018, "Bayesian non‐parametric conditional copula estimation of twin data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, volume 67, issue 3, pages 523-548, April, DOI: 10.1111/rssc.12237.
• Rafael González†Val & Miriam Marcén, 2018, "Club Classification of US Divorce Rates," Manchester School, University of Manchester, volume 86, issue 4, pages 512-532, July, DOI: 10.1111/manc.12203.
• Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018, "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper, Norges Bank, number 2018/10, Oct.
• Hilde C. Bjørnland & Julia Zhulanova, 2018, "The Shale Oil Boom and the U.S. Economy: Spillovers and Time-Varying Effects," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 8/2018, Oct.
• Liyuan Chen & Paola Zerilli & Christopher F Baum, 2018, "Leverage effects and stochastic volatility in spot oil returns: A Bayesian approach with VaR and CVaR applications," Boston College Working Papers in Economics, Boston College Department of Economics, number 953, Jan.
• Thomai Filippeli & Richard Harrison & Konstantinos Theodoridis, 2018, "DSGE-based priors for BVARs and quasi-Bayesian DSGE estimation," Bank of England working papers, Bank of England, number 716, Mar.
• In Do Hwang, 2018, "Central Bank Reputation and Inflation-Unemployment Performance: Empirical Evidence from an Executive Survey of 62 Countries," Working Papers, Economic Research Institute, Bank of Korea, number 2018-14, May.
• Namju Kim, 2018, "The Effect of Investment-Specific Technology Shocks on the Gap of Wage and Employment by Workers¡Ç Skill or Tasks (in Korean)," Working Papers, Economic Research Institute, Bank of Korea, number 2018-19, Jul.
• Liu Xiaochun & Luger Richard, 2018, "Markov-switching quantile autoregression: a Gibbs sampling approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 22, issue 2, pages 1, April, DOI: 10.1515/snde-2016-0078.
• Mazur Błażej & Pipień Mateusz, 2018, "Time-varying asymmetry and tail thickness in long series of daily financial returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 22, issue 5, pages 1-21, December, DOI: 10.1515/snde-2017-0071.
• Carlos Carvalho & Jared D. Fisher & Davide Pettenuzzo, 2018, "Optimal Asset Allocation with Multivariate Bayesian Dynamic Linear Models," Working Papers, Brandeis University, Department of Economics and International Business School, number 123, Sep.
• Jean-Pascal Guironnet, 2018, "Incertitude de classement final et affluence en Ligue 1 française de football : une nouvelle approche," Revue d'économie politique, Dalloz, volume 128, issue 4, pages 641-666.
• Mumtaz, Haroon & Theodoridis, Konstantinos, 2018, "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2018/21, Oct.
• Filippeli, Thomai & Harrison, Richard & Theodoridis, Konstantinos, 2018, "DSGE-based Priors for BVARs & Quasi-Bayesian DSGE Estimation," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2018/5, Jan.
• Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018, "Contagious Exporting and Foreign Ownership: Evidence from Firms in Shanghai Using a Bayesian Spatial Bivariate Probit Model," CESifo Working Paper Series, CESifo, number 6993.
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• Todd B. Walker, 2018, "Inflation Targeting in Emerging Economies," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, volume 36, issue 85, pages 7-20, DOI: 10.32468/Espe.8501.
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• Jim Sánchez González & Diego Restrepo Tob�n & Andr�s Ram�rez Hassan, 2018, "Inefficiency and Bank Failures: A Joint Bayesian Estimationof a Stochastic Frontier Model and a Hazards Model," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 16788, Aug.
• Jim Sánchez & Diego Restrepo & Andres Ram�rez, 2018, "Inefficiency and Bank Failures: A Joint Bayesian Esti-mationof a Stochastic Frontier Model and a Hazards Model," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 16977, Nov.
• Alfredo R. Anaya Narváez & Yaneth Patricia Romero �lvarez, 2018, "La inclusión financiera en Sincelejo (Colombia). Un modelo econométrico probit," Revista Ecos de Economía, Universidad EAFIT, volume 22, issue 46, pages 91-110, June.
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• Baumeister, Christiane & Hamilton, James, 2018, "Inference in Structural Vector Autoregressions When the Identifying Assumptions are Not Fully Believed: Re-evaluating the Role," CEPR Discussion Papers, Centre for Economic Policy Research, number 12911, May.
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• Teodor TODOROV, 2018, "Innovative Methods To Measure The Market Risk Of The Forex Market," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 4 Year 20, pages 40-59.
• Теодор Тодоров, 2018, "Иновативни Методи За Измерване На Пазарния Риск На Forex Пазара," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 4 Year 20, pages 44-65.
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• Kemisola Christianah Osundina & Sheriffdeen A. Tella & Bolaji A. Adesoye, 2018, "Interest Rate Channel and Real Economy in Nigeria: A Bayesian Vector Autoregression Approach," International Journal of Economics and Financial Issues, Econjournals, volume 8, issue 4, pages 313-321.
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• Wong, Chin-Yoong & Eng, Yoke-Kee, 2018, "Is optimal Islamic financial contract stabilizing? The perspective of a New Keynesian model with the financial accelerator," Economic Modelling, Elsevier, volume 71, issue C, pages 121-133, DOI: 10.1016/j.econmod.2017.12.007.
• Makiela, Kamil & Ouattara, Bazoumana, 2018, "Foreign direct investment and economic growth: Exploring the transmission channels," Economic Modelling, Elsevier, volume 72, issue C, pages 296-305, DOI: 10.1016/j.econmod.2018.02.007.
• Fowler, Stuart J. & Fowler, Jennifer J. & Seagraves, Philip A. & Beauchamp, Charles F., 2018, "A fundamentalist theory of real estate market outcomes," Economic Modelling, Elsevier, volume 73, issue C, pages 295-305, DOI: 10.1016/j.econmod.2018.04.005.
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• Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018, "Measuring international uncertainty: The case of Korea," Economics Letters, Elsevier, volume 162, issue C, pages 22-26, DOI: 10.1016/j.econlet.2017.10.014.
• Gunawan, David & Griffiths, William E. & Chotikapanich, Duangkamon, 2018, "Bayesian inference for health inequality and welfare using qualitative data," Economics Letters, Elsevier, volume 162, issue C, pages 76-80, DOI: 10.1016/j.econlet.2017.11.005.
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• Jiang, Liang & Wang, Xiaohu & Yu, Jun, 2018, "New distribution theory for the estimation of structural break point in mean," Journal of Econometrics, Elsevier, volume 205, issue 1, pages 156-176, DOI: 10.1016/j.jeconom.2018.03.009.
• Mao, Guangyu & Zhang, Zhengjun, 2018, "Stochastic tail index model for high frequency financial data with Bayesian analysis," Journal of Econometrics, Elsevier, volume 205, issue 2, pages 470-487, DOI: 10.1016/j.jeconom.2018.03.019.
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• Li, Yong & Yu, Jun & Zeng, Tao, 2018, "Specification tests based on MCMC output," Journal of Econometrics, Elsevier, volume 207, issue 1, pages 237-260, DOI: 10.1016/j.jeconom.2018.08.001.
• Constantinescu, Mihnea & Nguyen, Anh D.M., 2018, "Unemployment or credit: Which one holds the potential? Results for a small open economy with a low degree of financialization," Economic Systems, Elsevier, volume 42, issue 4, pages 649-664, DOI: 10.1016/j.ecosys.2018.08.003.
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• Wang, Yudong & Liu, Li & Ma, Feng & Diao, Xundi, 2018, "Momentum of return predictability," Journal of Empirical Finance, Elsevier, volume 45, issue C, pages 141-156, DOI: 10.1016/j.jempfin.2017.11.003.
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