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)

2017

• Angelia L. Grant & Joshua C.C. Chan, 2017, "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, volume 49, issue 2-3, pages 525-552, March, DOI: 10.1111/jmcb.12388.
• Giovanni Di Bartolomeo & Marco Di Pietro, 2017, "Intrinsic Persistence of Wage Inflation in New Keynesian Models of the Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, volume 49, issue 6, pages 1161-1195, September, DOI: 10.1111/jmcb.12412.
• Syed Abul Basher & Lawrence M. Kessler & Murat K. Munkin, 2017, "Bank capital and portfolio risk among Islamic banks," Review of Financial Economics, John Wiley & Sons, volume 34, issue 1, pages 1-9, September, DOI: 10.1016/j.rfe.2017.03.004.
• Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2017, "A Model of the Fed’s View on Inflation," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1145.
• Foos, Daniel & Lütkebohmert, Eva & Markovych, Mariia & Pliszka, Kamil, 2017, "Euro area banks' interest rate risk exposure to level, slope and curvature swings in the yield curve," Discussion Papers, Deutsche Bundesbank, number 24/2017.
• Mokinski, Frieder, 2017, "A severity function approach to scenario selection," Discussion Papers, Deutsche Bundesbank, number 34/2017.
• Siemsen, Thomas & Vilsmeier, Johannes, 2017, "A stress test framework for the German residential mortgage market: Methodology and application," Discussion Papers, Deutsche Bundesbank, number 37/2017.
• Hautsch, Nikolaus & Voigt, Stefan, 2017, "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series, Center for Financial Studies (CFS), number 582.
• Simionescu, Mihaela, 2017, "Prediction intervals for inflation and unemployment rate in Romania. A Bayesian approach," GLO Discussion Paper Series, Global Labor Organization (GLO), number 82.
• Cabras, Stefano & Fidrmuc, Jan & de Dios Tena Horrillo, Juan, 2017, "Minimum wage and employment: Escaping the parametric straitjacket," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, volume 11, pages 1-20, DOI: 10.5018/economics-ejournal.ja.2017-.
• Gehrke, Britta, 2017, "Fiscal rules and unemployment," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 10/2014, revised 2017.
• Prüser, Jan & Schlösser, Alexander, 2017, "The effects of economic policy uncertainty on European economies: Evidence from a TVP-FAVAR," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 708, DOI: 10.4419/86788826.
• Prüser, Jan, 2017, "Forecasting US inflation using Markov dimension switching," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 710, DOI: 10.4419/86788828.
• Hautsch, Nikolaus & Voigt, Stefan, 2017, "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty: Adaptive Mixing of High- and Low-Frequency Information," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking, Verein für Socialpolitik / German Economic Association, number 168222.

2016

• Chee Kian Leong, 2016, "Credit Risk Scoring with Bayesian Network Models," Computational Economics, Springer;Society for Computational Economics, volume 47, issue 3, pages 423-446, March, DOI: 10.1007/s10614-015-9505-8.
• Agata Kliber & Paweł Kliber & Piotr Płuciennik & Małgorzata Piwnicka, 2016, "POLONIA dynamics during the years 2006–2012 and the effectiveness of the monetary Policy of the National Bank of Poland," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 43, issue 1, pages 37-59, February, DOI: 10.1007/s10663-015-9287-1.
• Leroi RAPUTSOANE, 2016, "Real Effective Exchange Rates Comovements and the South African Currency," Journal of Economics Library, KSP Journals, volume 3, issue 1, pages 57-68, March.
• Jonas Ngouhouo Poufoun & Philippe Delacote, 2016, "What drives livelihoods’ strategies in ruralareas? Evidence from the Tridom Conservation Landscape using Spatial Probit Analysis," Working Papers - Cahiers du LEF, Laboratoire d'Economie Forestiere, AgroParisTech-INRA, number 2016-05, May, revised May 2016.
• Arnaud Dufays & Jeroen V.K. Rombouts, 2016, "Sparse Change-point HAR Models for Realized Variance," Cahiers de recherche, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques, number 1607.
• Thierry Kame Babilla & Adele Ngo Bilong & Sandra Kendo & Martin Jaures Ndzana Eloundou, 2016, "Macroeconomics implications of female entrepreneurs facing financial frictions to access to credit: A DSGE model approach in Cameroon," Working Papers MPIA, PEP-MPIA, number 2016-02.
• Rolando Gonzales & Gabriela Aguilera-Lizarazu & Andrea Rojas-Hosse & Patricia Aranda, 2016, "Preference for women but less preference for indigenous women: A lab-field experiment of loan discrimination in a developing economy," Working Papers PIERI, PEP-PIERI, number 2016-24.
• Rolando Gonzales & Joel Mendizabal & Patricia Aranda, 2016, "Is microfinance truly useless for poverty reduction and women empowerment? A Bayesian spatial-propensity score matching evaluation in Bolivia," Working Papers PMMA, PEP-PMMA, number 2016-06.
• Rilind Kabashi & Katerina Suleva, 2016, "Loan supply shocks in Macedonia: a Bayesian SVAR approach with sign restrictions," Working Papers, National Bank of the Republic of North Macedonia, number 2016-02, May.
• Badi Baltagi & Peter Egger & Michaela Kesina, 2016, "Bayesian Spatial Bivariate Panel Probit Estimation," Center for Policy Research Working Papers, Center for Policy Research, Maxwell School, Syracuse University, number 187, Jan.
• Rasekhi, Saeed & Rastgar, Majid, 2016, "Policy Time-Inconsistency: A Comparison of Managed Floating Exchange Rate and Controlled Exchange Rate Regimes," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 11, issue 4, pages 351-373, October.
• Svatopluk Kapounek, 2016, "The Impact of Institutional Quality on Bank Lending Activity: Evidence from Bayesian Model Averaging," MENDELU Working Papers in Business and Economics, Mendel University in Brno, Faculty of Business and Economics, number 2016-69, Dec.
• Rangan Gupta & Mampho P. Modise & Josine Uwilingiye, 2016, "Out-of-Sample Equity Premium Predictability in South Africa: Evidence from a Large Number of Predictors," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 52, issue 8, pages 1935-1955, August, DOI: 10.1080/1540496X.2015.1058075.
• Michael Jetter & Christopher F. Parmeter, 2016, "Uncovering the determinants of corruption," Working Papers, University of Miami, Department of Economics, number 2016-02, Mar.
• Alice, Albonico & Alessia, Paccagnini & Patrizio, Tirelli, 2016, "In search of the Euro Area Fiscal Stance," Working Papers, University of Milano-Bicocca, Department of Economics, number 324, Feb, revised 24 Feb 2016.
• Alice, Albonico & Alessia, Paccagnini & Patrizio, Tirelli, 2016, "PIIGS in the Euro Area. An Empirical DSGE Model," Working Papers, University of Milano-Bicocca, Department of Economics, number 331, Mar, revised 11 Mar 2016.
• Maria Letizia GIORGETTI & Maria Luisa MANCUSI, 2016, "Entry and Patenting in the Pharmaceutical Industry," Departmental Working Papers, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano, number 2016-02, Feb.
• Massimo FLORIO & Aleksandra PARTEKA & Emanuela SIRTORI, 2016, "The Role of EU Policy in Supporting Technological Innovation in SMEs - a Bayesian Network Analysis of Firm-Level Data from Poland," Departmental Working Papers, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano, number 2016-13, Nov.
• Tomasz Wozniak, 2016, "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series, The University of Melbourne, number 2021, Apr.
• Gholamreza Hajargasht & William E. Griffiths, 2016, "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series, The University of Melbourne, number 2024, May.
• William Gatt, 2016, "Time variation, asymmetry and threshold effect in Malta's Phillips curve," CBM Working Papers, Central Bank of Malta, number WP/02/2016.
• Ida Hjortsoe & Martin Weale & Tomasz Wieladek, 2016, "Monetary policy and the current account; theory and evidence," Discussion Papers, Monetary Policy Committee Unit, Bank of England, number 45, Mar.
• Gael M. Martin & Brendan P.M. McCabe & David T. Frazier & Worapree Maneesoonthorn & Christian P. Robert, 2016, "Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 09/16.
• Patrick Leung & Catherine S. Forbes & Gael M. Martin & Brendan McCabe, 2016, "Data-driven particle Filters for particle Markov Chain Monte Carlo," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 17/16.
• D.T. Frazier & G.M. Martin & C.P. Robert & J. Rousseau, 2016, "Asymptotic Properties of Approximate Bayesian Computation," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 18/16.
• Tingting Cheng & Jiti Gao & Peter CB Phillips, 2016, "A Frequency Approach to Bayesian Asymptotics," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 5/16.
• Bin Jiang & Anastasios Panagiotelis & George Athanasopoulos & Rob Hyndman & Farshid Vahid, 2016, "Bayesian Rank Selection in Multivariate Regression," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 6/16.
• Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2016, "Inference on Self-Exciting Jumps in Prices and Volatility using High Frequency Measures," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 8/16.
• Jesús Fernández-Villaverde & Juan F. Rubio Ramírez & Frank Schorfheide, 2016, "Solution and Estimation Methods for DSGE Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 21862, Jan.
• Drew D. Creal & Jing Cynthia Wu, 2016, "Bond Risk Premia in Consumption-based Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 22183, Apr.
• Anmol Bhandari & Jaroslav Borovička & Paul Ho, 2016, "Identifying Ambiguity Shocks in Business Cycle Models Using Survey Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 22225, May.
• Ş. Pelin Akyol & James Key & Kala Krishna, 2016, "Hit or Miss? Test Taking Behavior in Multiple Choice Exams," NBER Working Papers, National Bureau of Economic Research, Inc, number 22401, Jul.
• Francis DiTraglia & Camilo García-Jimeno, 2016, "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 22621, Sep.
• Cosmin L. Ilut & Hikaru Saijo, 2016, "Learning, Confidence, and Business Cycles," NBER Working Papers, National Bureau of Economic Research, Inc, number 22958, Dec.
• Berg, Nathan & Biele, Guido & Gigerenzer, Gerd, 2016, "Consistent Bayesians Are No More Accurate Than Non-Bayesians: Economists Surveyed About PSA," Review of Behavioral Economics, now publishers, volume 3, issue 2, pages 189-219, July, DOI: 10.1561/105.00000034.
• Martin Feldkircher & Florian Huber & Isabella Moder, 2016, "Modeling the evolution of monetary policy rules in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 8-27.
• Dennis Wesselbaum & Marc-Andre Luik, 2016, "Did the FED REact to Asset Price Bubbles?," Working Papers, University of Otago, Department of Economics, number 1602, Feb, revised Feb 2016.
• Hugo Storm & Thomas Heckelei & Ron C. Mittelhammer, 2016, "Bayesian estimation of non-stationary Markov models combining micro and macro data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, volume 43, issue 2, pages 303-329.
• Ali Chalak & Mohamad Abiad & Kelvin Balcombe, 2016, "Joint use of attribute importance rankings and non-attendance data in choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, volume 43, issue 5, pages 737-760.
• Matias Iaryczower & Gabriel Katz, 2016, "More than Politics: Ability and Ideology in the British Appellate Committee," The Journal of Law, Economics, and Organization, Oxford University Press, volume 32, issue 1, pages 61-93.
• Gabriel Rodriguez & Willy Alanya, 2016, "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2016-413.
• Edward Herbst & Frank Schorfheide, 2016, "Tempered Particle Filtering," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 16-017, Oct, revised 25 Oct 2016.
• Laura Liu & Hyungsik Moon & Frank Schorfheide, 2016, "Forecasting with Dynamic Panel Data Models," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 16-022, Dec, revised 21 Dec 2016.
• Jean-Francois Richard, 2016, "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kerkels," Working Paper, Department of Economics, University of Pittsburgh, number 5980, Jan.
• Raputsoane, Leroi, 2016, "Real effective exchange rates comovement and the South African currency," MPRA Paper, University Library of Munich, Germany, number 121901, Jan.
• Raputsoane, Leroi, 2016, "Real effective exchange rates comovements and the South African currency," MPRA Paper, University Library of Munich, Germany, number 68667, Jan.
• Makieła, Kamil, 2016, "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper, University Library of Munich, Germany, number 69389, Jan.
• Njindan Iyke, Bernard, 2016, "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper, University Library of Munich, Germany, number 70205, Feb.
• Griffin, Jim & Liu, Jia & Maheu, John M, 2016, "Bayesian Nonparametric Estimation of Ex-post Variance," MPRA Paper, University Library of Munich, Germany, number 71220, May.
• Khorunzhina, Natalia & Richard, Jean-Francois, 2016, "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper, University Library of Munich, Germany, number 72326, Jun.
• Cai, Yifei, 2016, "短期资本流动、经济政策不确定性与恐慌指数—基于时变分析框架下的研究
  [Short-term Capital Flow, Economic Policy Uncertainty and VIX—Evidence from a Time-varying Analysis Framework]," MPRA Paper, University Library of Munich, Germany, number 73213, Aug.
• Oepping, Hardy, 2016, "Ein Bayes-Netz zur Analyse des Absturzrisikos im Gerüstbau
  [A Bayesian network for analysing the risk of falling from height in scaffolding]," MPRA Paper, University Library of Munich, Germany, number 73602, Aug.
• Oepping, Hardy, 2016, "Bayesian Process Networks: An approach to systemic process risk analysis by mapping process models onto Bayesian networks," MPRA Paper, University Library of Munich, Germany, number 73611, Sep.
• Byrne, Joseph & Fu, Rong, 2016, "Stock Return Prediction with Fully Flexible Models and Coefficients," MPRA Paper, University Library of Munich, Germany, number 75366, Nov.
• Makieła, Kamil & Marzec, Jerzy & Pisulewski, Andrzej, 2016, "Productivity Change Analysis of Polish Dairy Farms After Poland’s Accession to the EU – An Output Growth Decomposition Approach," MPRA Paper, University Library of Munich, Germany, number 80295, Oct.
• Vorobyev, Oleg Yu., 2016, "Postulating the theory of experience and chance as a theory of co~events (co~beings)," MPRA Paper, University Library of Munich, Germany, number 81892, Sep.
• Vorobyev, Oleg Yu., 2016, "The theory of dual co~event means," MPRA Paper, University Library of Munich, Germany, number 81893, Sep.
• Błażejowski, Marcin & Gazda, Jakub & Kwiatkowski, Jacek, 2016, "Bayesian Model Averaging in the Studies on Economic Growth in the EU Regions – Application of the gretl BMA package," MPRA Paper, University Library of Munich, Germany, number 89366, Mar, revised Oct 2016.
• Iiboshi, Hirokuni & Shintani, Mototsugu, 2016, "Zero interest rate policy and asymmetric price adjustment in Japan: an empirical analysis of a nonlinear DSGE model," MPRA Paper, University Library of Munich, Germany, number 93868, Apr.
• Jan Čapek, 2016, "Structural Changes in the Czech Economy: A DSGE Model Approach," Prague Economic Papers, Prague University of Economics and Business, volume 2016, issue 1, pages 37-52, DOI: 10.18267/j.pep.535.
• Roman Huptas, 2016, "The UHF-GARCH-Type Model in the Analysis of Intraday Volatility and Price Durations – the Bayesian Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 8, issue 1, pages 1-20, March.
• Renata Wróbel-Rotter, 2016, "Impulse Response Functions in the Dynamic Stochastic General Equilibrium Vector Autoregression Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 8, issue 2, pages 93-114, June.
• Jakub Boratyński, 2016, "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 8, issue 4, pages 219-239, December.
• Jacek Osiewalski & Krzysztof Osiewalski, 2016, "Hybrid MSV-MGARCH Models – General Remarks and the GMSF-SBEKK Specification," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 8, issue 4, pages 241-271, December.
• Sergei S. Shibaev, 2016, "Recession Propagation In Small Regional Economies: Spatial Spillovers And Endogenous Clustering," Working Paper, Economics Department, Queen's University, number 1369, Nov.
• Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016, "VAR Models with Non-Gaussian Shocks," CReMFi Discussion Papers, CReMFi, School of Economics and Finance, QMUL, number 4, Feb.
• Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016, "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers, CReMFi, School of Economics and Finance, QMUL, number 5, Jul.
• Mirela Sorina Miescu, 2016, "IMF Programs and Sensitivity to External Shocks: An Empirical Application," Working Papers, Queen Mary University of London, School of Economics and Finance, number 791, Apr.
• Pérez Forero, Fernando & Serván, Sergio, 2016, "The dynamic response of the Current Account to Commodity Prices shocks in Mining and Non-mining exporting economies," Working Papers, Banco Central de Reserva del Perú, number 2016-012, Dec.
• Pérez Forero, Fernando, 2016, "Cyclical Fluctuations, Co-movement and the Role of External Shocks in Latin America," Working Papers, Banco Central de Reserva del Perú, number 2016-013, Dec.
• Stefan Avdjiev, 2016, "News Driven Business Cycles and Data on Asset Prices in Estimated DSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, volume 20, pages 181-197, April, DOI: 10.1016/j.red.2015.01.002.
• Jaroslav Borovicka, 2016, "Identifying ambiguity shocks in business cycle models using survey data," 2016 Meeting Papers, Society for Economic Dynamics, number 1615.
• Juan Rubio-Ramirez & Daniel Waggoner & Jonas Arias, 2016, "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," 2016 Meeting Papers, Society for Economic Dynamics, number 472.
• Hikaru Saijo & Cosmin Ilut, 2016, "Learning, Confidence and Business Cycle," 2016 Meeting Papers, Society for Economic Dynamics, number 664.
• Michael Ellington & Chris Florackis & Costas Milas, 2016, "Liquidity Shocks and Real GDP Growth: Evidence from a Bayesian Time-varying Parameter VAR," Working Paper series, Rimini Centre for Economic Analysis, number 16-28, Dec.
• Alexander Knyazev & Oleg Lepekhin & Arkady Shemyakin, 2016, "Joint distribution of stock indices: Methodological aspects of construction and selection of copula models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 42, pages 30-53.
• Olga Borzykh, 2016, "Bank lending channel in Russia: A TVP-FAVAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 43, pages 96-117.
• Boris Demeshev & Oxana Malakhovskaya, 2016, "BVAR mapping," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 43, pages 118-141.
• Sidhartha Dash & Peyman Mestchian, 2016, "Safety in Numbers: Toward a New Methodology for Quantifying Cyber Risk," Journal of Financial Transformation, Capco Institute, volume 44, pages 39-44.
• Alireza Tamizi, 2016, "Determinants of CO2 Emissions in Developing Countries using Bayesian Econometric Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 2, issue 4, pages 145-168.
• Corina SAMAN, 2016, "The Impact of the US and Euro Area Financial Systemic Stress to the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 170-183, December.
• Matei KUBINSCHI & Dinu BARNEA, 2016, "Systemic Risk Impact on Economic Growth - The Case of the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 79-94, December.
• Gerdie Everaert & Lorenzo Pozzi & Ruben Schoonackers, 2016, "On The Stability Of The Excess Sensitivity Of Aggregate Consumption Growth In The Us," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 16/917, Jan.
• Yuan Liao & Anna Simoni, 2016, "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers, Rutgers University, Department of Economics, number 201607, Jul.
• Emmanuel Owusu-Sekyere, 2016, "The impact of monetary policy on household consumption in South Africa. Evidence from Vector Autoregressive Techniques," ERSA Working Paper Series, Economic Research Southern Africa, number 598, Apr.
• Harold P. E. Ngawala & Ntokozo P. Nzimande, 2016, "Is There a SADC Business Cycle? Evidence from a Dynamic Factor Model," ERSA Working Paper Series, Economic Research Southern Africa, number 651, Nov.
• Bovin Ladi Jocelin & Hugues Awiki Afandakondji, 2016, "Business & Economics," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 4006624, Aug.
• Pawe? Baranowski & Zbigniew Kuchta, 2016, "Changes in nominal rigidities in Poland - a regime switching DSGE perspective," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 5306955, Nov.
• Michał Jakubczyk, 2016, "Estimating the membership function of the fuzzy willingness-to-pay/accept for health via Bayesian modelling," KAE Working Papers, Warsaw School of Economics, Collegium of Economic Analysis, number 2016-011, May, DOI: 10.33119/kaewps2016011.
• Moon Young Kang & Byungho Park & Sanghak Lee & Jaehwan Kim & Greg Allenby, 2016, "This paper examines the effect of message characteristics on donation behavior using an economic," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, volume 2, issue 4, pages 40-57.
• Jiang Liang & Wang Xiaohu & Jun Yu, 2016, "New Distribution Theory for the Estimation of Structural Break Point in Mean," Working Papers, Singapore Management University, School of Economics, number 01-2016, Jan.
• Anna Kormilitsina, 2016, "Is Government Spending Predetermined? A Test of Identification for Fiscal Policy Shocks," Departmental Working Papers, Southern Methodist University, Department of Economics, number 1607, Jun.
• Anna Kormilitsina & Sarah Zubairy, 2016, "Propagation Mechanisms for Government Spending Shocks: A Bayesian Comparison," Departmental Working Papers, Southern Methodist University, Department of Economics, number 1608, Jan.
• Gregor Bäurle & Rolf Scheufele, 2016, "Credit cycles and real activity - the Swiss case," Working Papers, Swiss National Bank, number 2016-13.
• Dongnyok Shim & Jin Gyo Kim & Jorn Altmann, 2016, "Identifying Key Drivers and Bottlenecks in the Adoption of E-Book Readers in Korea," TEMEP Discussion Papers, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), number 2016129, Jan, revised Jan 2016.
• Sungyup Chung, 2016, "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, volume 56, issue 1, pages 229-252, January, DOI: 10.1007/s00168-015-0732-7.
• Sungyup Chung, 2016, "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, volume 56, issue 1, pages 229-252, January, DOI: 10.1007/s00168-015-0732-7.
• Shinya Kawata & Yoshi Fujiwara, 2016, "Constructing of network from topics and their temporal change in the Nikkei newspaper articles," Evolutionary and Institutional Economics Review, Springer, volume 13, issue 2, pages 423-436, December, DOI: 10.1007/s40844-016-0061-2.
• Philipp Piribauer, 2016, "Heterogeneity in spatial growth clusters," Empirical Economics, Springer, volume 51, issue 2, pages 659-680, September, DOI: 10.1007/s00181-015-1023-y.
• Yasutomo Murasawa, 2016, "The Beveridge–Nelson decomposition of mixed-frequency series," Empirical Economics, Springer, volume 51, issue 4, pages 1415-1441, December, DOI: 10.1007/s00181-015-1061-5.
• Cathy W. S. Chen & Mike K. P. So & Thomas C. Chiang, 2016, "Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach," The Japanese Economic Review, Springer, volume 67, issue 1, pages 96-124, March, DOI: 10.1111/jere.12074.
• Yuko Onishi & Yasuhiro Omori, 2016, "Bayesian Estimation of Entry Games with Multiple Players and Multiple Equilibria," The Japanese Economic Review, Springer, volume 67, issue 4, pages 418-440, December, DOI: 10.1111/jere.12108.
• Kohn, Robert & Quiroz, Matias & Tran, Minh-Ngoc & Villani, Mattias, 2016, "Speeding up MCMC by Efficient Data Subsampling," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number 2123/16205.
• Eric Eisenstat & Joshua C. C. Chan & Rodney W. Strachan, 2016, "Stochastic Model Specification Search for Time-Varying Parameter VARs," Econometric Reviews, Taylor & Francis Journals, volume 35, issue 8-10, pages 1638-1665, December, DOI: 10.1080/07474938.2015.1092808.
• Xianhua Dai & Wolfgang Karl Härdle & Keming Yu, 2016, "Do maternal health problems influence child's worrying status? Evidence from the British Cohort Study," Journal of Applied Statistics, Taylor & Francis Journals, volume 43, issue 16, pages 2941-2955, December, DOI: 10.1080/02664763.2016.1155203.
• Christian Daude & Arne Nagengast & Jose Ramon Perea, 2016, "Productive capabilities: An empirical analysis of their drivers," The Journal of International Trade & Economic Development, Taylor & Francis Journals, volume 25, issue 4, pages 504-535, June, DOI: 10.1080/09638199.2015.1073342.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016, "Common Drifting Volatility in Large Bayesian VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 34, issue 3, pages 375-390, July, DOI: 10.1080/07350015.2015.1040116.
• , & , & ,, 2016, "Fragility of asymptotic agreement under Bayesian learning," Theoretical Economics, Econometric Society, volume 11, issue 1, January.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2016, "Dynamic Predictive Density Combinations for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 15-084/III, Mar, revised 03 Jul 2017.
• Xu Guo & Michael McAleer & Wing-Keung Wong & Lixing Zhu, 2016, "A Bayesian Approach to Excess Volatility, Short-term Underreaction and Long-term Overreaction During Financial Crises," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 16-003/III, Jan.
• Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2016, "Parallelization Experience with Four Canonical Econometric Models using ParMitISEM," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 16-005/III, Jan.
• Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016, "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 16-075/III, Sep.
• Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2016, "Time-varying Combinations of Bayesian Dynamic Models and Equity Momentum Strategies," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 16-099/III, Nov.
• Didier Nibbering & Richard Paap & Michel van der Wel, 2016, "A Bayesian Infinite Hidden Markov Vector Autoregressive Model," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 16-107/III, Dec, revised 13 Oct 2017.
• George Elias, 2016, "Benchmarking Heterogeneous Distribution System Operators: Evidence from Norway," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft, number dp1606, Mar.
• Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016, "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Open Access publications, School of Economics, University College Dublin, number 10197/7323, Oct.
• Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2016, "Great Recession, Slow Recovery and Muted Fiscal Policies in the US," Working Papers, School of Economics, University College Dublin, number 201602, Mar.
• Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016, "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Working Papers, School of Economics, University College Dublin, number 201611, Aug.
• Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2016, "In search of the Euro area fiscal stance," Working Papers, School of Economics, University College Dublin, number 201612, Aug.
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• Baştürk, N. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2016, "Parallelization experience with four canonical econometric models using ParMitISEM," Research Memorandum, Maastricht University, Graduate School of Business and Economics (GSBE), number 013, Jan, DOI: 10.26481/umagsb.2016013.
• Richard Fowles & Peter Loeb & Chompoonuh Permpoonwiwat, 2016, "Motorcycle Fatalities Revisited: A Classical and Bayesian Analysis," Working Paper Series, Department of Economics, University of Utah, University of Utah, Department of Economics, number 2016_04.
• Luciana Dalla Valle & Fabrizio Leisen & Luca Rossini, 2016, "Bayesian Nonparametric Conditional Copula Estimation of Twin Data," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2016:08.
• Monica Billio & Roberto Casarin & Luca Rossini, 2016, "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2016:20.
• Hasan,Iftekhar & Horvath,Roman & Mares,Jan, 2016, "What type of finance matters for growth ? Bayesian model averaging evidence," Policy Research Working Paper Series, The World Bank, number 7645, Apr.
• Florian Huber & Martin Feldkircher, 2016, "Adaptive shrinkage in Bayesian vector autoregressive models," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp221, Mar.
• Florian Huber & Gregor Kastner & Martin Feldkircher, 2016, "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp235, Sep.
• Feldkircher, Martin & Huber, Florian, 2016, "Adaptive Shrinkage in Bayesian Vector Autoregressive Models," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 221, Mar.
• Huber, Florian & Kastner, Gregor & Feldkircher, Martin, 2016, "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 235, Sep.
• Badi H. Baltagi & Yin‐Fang Yen, 2016, "Welfare Reform and Children's Health," Health Economics, John Wiley & Sons, Ltd., volume 25, issue 3, pages 277-291, March, DOI: 10.1002/hec.3139.
• Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2016, "Bayesian Graphical Models for STructural Vector Autoregressive Processes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 31, issue 2, pages 357-386, March.
• Enrique Moral‐Benito, 2016, "Growth Empirics in Panel Data Under Model Uncertainty and Weak Exogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 31, issue 3, pages 584-602, April.
• Eric Eisenstat & Rodney W. Strachan, 2016, "Modelling Inflation Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 31, issue 5, pages 805-820, August.
• Davide Pettenuzzo & Francesco Ravazzolo, 2016, "Optimal Portfolio Choice Under Decision‐Based Model Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 31, issue 7, pages 1312-1332, November.
• Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. Van Dijk, 2016, "Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 31, issue 7, pages 1352-1370, November.
• Markku Lanne & Jani Luoto, 2016, "Noncausal Bayesian Vector Autoregression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 31, issue 7, pages 1392-1406, November.
• Emir Malikov & Subal C. Kumbhakar & Mike G. Tsionas, 2016, "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of us Banks in 2001–2010," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 31, issue 7, pages 1407-1429, November.
• Michal Franta, 2016, "The Effect of Nonlinearity between Credit Conditions and Economic Activity on Density Forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., volume 35, issue 2, pages 147-166, March.
• Stelios D. Bekiros & Alessia Paccagnini, 2016, "Policy‐Oriented Macroeconomic Forecasting with Hybrid DGSE and Time‐Varying Parameter VAR Models," Journal of Forecasting, John Wiley & Sons, Ltd., volume 35, issue 7, pages 613-632, November.
• Tim Oliver Berg, 2016, "Multivariate Forecasting with BVARs and DSGE Models," Journal of Forecasting, John Wiley & Sons, Ltd., volume 35, issue 8, pages 718-740, December.
• Gestel, R.V. & Müller, T. & Bosmans, J., 2016, "Does My High Blood Pressure Improve Your Survival? Overall and Subgroup Learning Curves in Health," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 16/27, Aug.
• Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016, "The Aino 2.0 model," Bank of Finland Research Discussion Papers, Bank of Finland, number 16/2016.
• Mandler, Martin & Scharnagl, Michael & Volz, Ute, 2016, "Heterogeneity in euro-area monetary policy transmission: Results from a large multi-country BVAR model," Discussion Papers, Deutsche Bundesbank, number 03/2016.
• Abbate, Angela & Marcellino, Massimiliano, 2016, "Point, interval and density forecasts of exchange rates with time-varying parameter models," Discussion Papers, Deutsche Bundesbank, number 19/2016.
• Pelster, Matthias & Vilsmeier, Johannes, 2016, "The determinants of CDS spreads: Evidence from the model space," Discussion Papers, Deutsche Bundesbank, number 43/2016.
• Cabras, Stefano & Fidrmuc, Jan & de Dios Tena Horrillo, Juan, 2016, "Minimum wage and employment: Escaping the parametric straitjacket," Economics Discussion Papers, Kiel Institute for the World Economy, number 2016-17.
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• Lesage, James P. & Vance, Colin & Chih, Yao-Yu, 2016, "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel price rivalry," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 617, DOI: 10.4419/86788717.
• Hanck, Christoph & Prüser, Jan, 2016, "House prices and interest rates: Bayesian evidence from Germany," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 620, DOI: 10.4419/86788722.
• Kaeding, Matthias, 2016, "Fast, approximate MCMC for Bayesian analysis of large data sets: A design based approach," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 660, DOI: 10.4419/86788766.
• Netésunajev, Aleksei & Glass, Katharina, 2016, "Uncertainty and employment dynamics in the euro area and the US," SFB 649 Discussion Papers, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk, number 2016-002.
• Almosova, Anna, 2016, "Labor market frictions and monetary policy design," SFB 649 Discussion Papers, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk, number 2016-054.
• Chen, Xiaoyu, 2016, "A multicity study of association between air pollution and CHD mortality in China by using time series threshold poisson regression model," SFB 649 Discussion Papers, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk, number 2016-055.
• Vogel, Lukas & Kollmann, Robert & Pataracchia, Beatrice & Ratto, Marco & Roeger, Werner, 2016, "The Post-Crisis Slump in the Euro Area and the US: Evidence from an Estimated Three-Region DSGE Model," VfS Annual Conference 2016 (Augsburg): Demographic Change, Verein für Socialpolitik / German Economic Association, number 145473.
• Schnücker, Annika, 2016, "Restrictions Search for Panel VARs," VfS Annual Conference 2016 (Augsburg): Demographic Change, Verein für Socialpolitik / German Economic Association, number 145566.
• Scharnagl, Michael & Mandler, Martin & Volz, Ute, 2016, "Heterogeneity in euro area monetary policy transmission: results from a large multi-country BVAR model," VfS Annual Conference 2016 (Augsburg): Demographic Change, Verein für Socialpolitik / German Economic Association, number 145847.
• Dany, Geraldine, 2016, "The credit channel during times of financial stress: A time varying VAR analysis," VfS Annual Conference 2016 (Augsburg): Demographic Change, Verein für Socialpolitik / German Economic Association, number 145899.
• Barron, Kai, 2016, "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 2016-309.
• Luis Uzeda, 2016, "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," ANU Working Papers in Economics and Econometrics, Australian National University, College of Business and Economics, School of Economics, number 2016-632, Mar.
• Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2016, "Sparse Graphical Vector Autoregression: A Bayesian Approach," Annals of Economics and Statistics, GENES, issue 123-124, pages 333-361, DOI: 10.15609/annaeconstat2009.123-124.0.
• Fadel HAMID HADI ALHUSSEINI, 2016, "Some Methods Of Quantile Regression For Analysis Of The Poverty In Iraq," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, volume 5, issue 1, pages 67-85, JULY.
• Mbarek, Marouene & Rousselière, Damien & Salanié, Julien, 2016, "Using multiple imputation for a zero-inflated contingent valuation with potentially biased sampling," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts, Agricultural and Applied Economics Association, number 235690, DOI: 10.22004/ag.econ.235690.
• Michler, Jeffrey & Shively, Gerald, 2016, "Agricultural Production, Weather Variability, and Technical Change: 40 Years of Evidence from Indi," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts, Agricultural and Applied Economics Association, number 236342, DOI: 10.22004/ag.econ.236342.
• Anna Czarnecka (Kiłyk) & Paulina Magierska & Agnieszka Parkitna, 2016, "Statistical evaluation of payment system development in Poland," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/16/05, May.
• Majda Benzidia & Michel Lubrano, 2016, "A Bayesian Look at American Academic Wages: The Case of Michigan State University," AMSE Working Papers, Aix-Marseille School of Economics, France, number 1628, Oct.
• Majda Benzidia & Michel Lubrano & Paolo Melindi-Ghidi, 2016, "Education Politics, Schooling Choice and Public School Quality: The Impact of Income Polarisation," AMSE Working Papers, Aix-Marseille School of Economics, France, number 1642, Nov.
• Fábio Martins Serrano & Márcio Issao Nakane, 2016, "Impacto Regional Da Política Monetária No Brasil: Uma Abordagem Bayesiana," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting], ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], number 038.
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• David M. Kaplan & Longhao Zhuo, 2016, "Frequentist properties of Bayesian inequality tests," Papers, arXiv.org, number 1607.00393, Jul, revised Jul 2024.
• Florian Huber & Gregor Kastner & Martin Feldkircher, 2016, "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers, arXiv.org, number 1607.04532, Jul, revised Jul 2018.
• Monica Billio & Roberto Casarin & Luca Rossini, 2016, "Bayesian nonparametric sparse VAR models," Papers, arXiv.org, number 1608.02740, Aug, revised Oct 2018.
• Vugar Ahmadov & Shaig Adigozalov & Salman Huseynov & Fuad Mammadov & Vugar Rahimov, 2016, "Forecasting inflation in post-oil boom years: A case for non-linear models?," Working Papers, Central Bank of Azerbaijan Republic, number 1601, Apr.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016, "Measuring Uncertainty and Its Impact on the Economy," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 1639.
• Srini Vasan & Adelamar Alcantara, 2016, "GIS-based Methods for Estimating Missing Poverty Rates & Projecting Future Rates in Census Tracts," Review of Economics & Finance, Better Advances Press, Canada, volume 6, pages 1-13, August.
• Alexander Guarín-López & Ignacio Lozano-Espitia, 2016, "Credit Funding and Banking Fragility: An Empirical Analysis for Emerging Economies," Borradores de Economia, Banco de la Republica de Colombia, number 931, Mar, DOI: 10.32468/be.931.