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)

2016

• Razafindrabe, Tovonony M., 2016, "A multi-country DSGE model with incomplete exchange rate pass-through: An application for the Euro-area," Economic Modelling, Elsevier, volume 52, issue PA, pages 78-100, DOI: 10.1016/j.econmod.2015.03.003.
• Chen, Guojin & Hong, Zhiwu & Ren, Yu, 2016, "Durable consumption and asset returns: Cointegration analysis," Economic Modelling, Elsevier, volume 53, issue C, pages 231-244, DOI: 10.1016/j.econmod.2015.12.008.
• Dąbrowski, Marek A. & Wróblewska, Justyna, 2016, "Exchange rate as a shock absorber in Poland and Slovakia: Evidence from Bayesian SVAR models with common serial correlation," Economic Modelling, Elsevier, volume 58, issue C, pages 249-262, DOI: 10.1016/j.econmod.2016.05.013.
• Cross, Jamie & Poon, Aubrey, 2016, "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, volume 58, issue C, pages 34-51, DOI: 10.1016/j.econmod.2016.04.021.
• Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016, "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, volume 59, issue C, pages 546-569, DOI: 10.1016/j.econmod.2016.08.013.
• Camba-Méndez, Gonzalo & Serwa, Dobromił, 2016, "Market perception of sovereign credit risk in the euro area during the financial crisis," The North American Journal of Economics and Finance, Elsevier, volume 37, issue C, pages 168-189, DOI: 10.1016/j.najef.2016.04.002.
• LeSage, James P. & Chih, Yao-Yu, 2016, "Interpreting heterogeneous coefficient spatial autoregressive panel models," Economics Letters, Elsevier, volume 142, issue C, pages 1-5, DOI: 10.1016/j.econlet.2016.02.033.
• Gupta, Rangan & Pierdzioch, Christian & Risse, Marian, 2016, "On international uncertainty links: BART-based empirical evidence for Canada," Economics Letters, Elsevier, volume 143, issue C, pages 24-27, DOI: 10.1016/j.econlet.2016.03.009.
• Chu, Chia-Shang J. & Liu, Nan & Zhang, Lina, 2016, "Significance test in nonstationary multinomial logit model," Economics Letters, Elsevier, volume 143, issue C, pages 94-98, DOI: 10.1016/j.econlet.2016.03.022.
• Yang, Yuan & Wang, Lu, 2016, "An auxiliary particle filter for nonlinear dynamic equilibrium models," Economics Letters, Elsevier, volume 144, issue C, pages 112-114, DOI: 10.1016/j.econlet.2016.04.020.
• Richter, Alexander W. & Throckmorton, Nathaniel A., 2016, "Is Rotemberg pricing justified by macro data?," Economics Letters, Elsevier, volume 149, issue C, pages 44-48, DOI: 10.1016/j.econlet.2016.10.011.
• Keane, Michael & Stavrunova, Olena, 2016, "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, volume 190, issue 1, pages 62-78, DOI: 10.1016/j.jeconom.2015.08.002.
• Bianchi, Francesco, 2016, "Methods for measuring expectations and uncertainty in Markov-switching models," Journal of Econometrics, Elsevier, volume 190, issue 1, pages 79-99, DOI: 10.1016/j.jeconom.2015.08.004.
• Atkinson, Scott E. & Tsionas, Mike G., 2016, "Directional distance functions: Optimal endogenous directions," Journal of Econometrics, Elsevier, volume 190, issue 2, pages 301-314, DOI: 10.1016/j.jeconom.2015.06.006.
• Kumbhakar, Subal C. & Tsionas, Efthymios G., 2016, "The good, the bad and the technology: Endogeneity in environmental production models," Journal of Econometrics, Elsevier, volume 190, issue 2, pages 315-327, DOI: 10.1016/j.jeconom.2015.06.008.
• Griffiths, William E. & Hajargasht, Gholamreza, 2016, "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, volume 190, issue 2, pages 341-348, DOI: 10.1016/j.jeconom.2015.06.012.
• Jin, Xin & Maheu, John M., 2016, "Bayesian semiparametric modeling of realized covariance matrices," Journal of Econometrics, Elsevier, volume 192, issue 1, pages 19-39, DOI: 10.1016/j.jeconom.2015.11.001.
• Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016, "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, volume 192, issue 1, pages 190-206, DOI: 10.1016/j.jeconom.2015.10.010.
• Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016, "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, volume 192, issue 2, pages 332-348, DOI: 10.1016/j.jeconom.2016.02.002.
• Chan, Joshua C.C. & Eisenstat, Eric & Koop, Gary, 2016, "Large Bayesian VARMAs," Journal of Econometrics, Elsevier, volume 192, issue 2, pages 374-390, DOI: 10.1016/j.jeconom.2016.02.005.
• Leamer, Edward E., 2016, "S-values: Conventional context-minimal measures of the sturdiness of regression coefficients," Journal of Econometrics, Elsevier, volume 193, issue 1, pages 147-161, DOI: 10.1016/j.jeconom.2015.10.013.
• Jacobi, Liana & Wagner, Helga & Frühwirth-Schnatter, Sylvia, 2016, "Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave," Journal of Econometrics, Elsevier, volume 193, issue 1, pages 234-250, DOI: 10.1016/j.jeconom.2016.01.005.
• Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2016, "A MIDAS approach to modeling first and second moment dynamics," Journal of Econometrics, Elsevier, volume 193, issue 2, pages 315-334, DOI: 10.1016/j.jeconom.2016.04.009.
• Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2016, "Testing for Granger causality in large mixed-frequency VARs," Journal of Econometrics, Elsevier, volume 193, issue 2, pages 418-432, DOI: 10.1016/j.jeconom.2016.04.015.
• Melo, Luis F. & Loaiza, Rubén A. & Villamizar-Villegas, Mauricio, 2016, "Bayesian combination for inflation forecasts: The effects of a prior based on central banks’ estimates," Economic Systems, Elsevier, volume 40, issue 3, pages 387-397, DOI: 10.1016/j.ecosys.2015.11.002.
• Koop, Gary & Korobilis, Dimitris, 2016, "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, volume 81, issue C, pages 115-131, DOI: 10.1016/j.euroecorev.2015.09.006.
• Moral-Benito, Enrique & Roehn, Oliver, 2016, "The impact of financial regulation on current account balances," European Economic Review, Elsevier, volume 81, issue C, pages 148-166, DOI: 10.1016/j.euroecorev.2015.07.005.
• Crespo Cuaresma, Jesus & Grün, Bettina & Hofmarcher, Paul & Humer, Stefan & Moser, Mathias, 2016, "Unveiling covariate inclusion structures in economic growth regressions using latent class analysis," European Economic Review, Elsevier, volume 81, issue C, pages 189-202, DOI: 10.1016/j.euroecorev.2015.03.009.
• Durlauf, Steven N. & Navarro, Salvador & Rivers, David A., 2016, "Model uncertainty and the effect of shall-issue right-to-carry laws on crime," European Economic Review, Elsevier, volume 81, issue C, pages 32-67, DOI: 10.1016/j.euroecorev.2015.07.020.
• Drivas, Kyriakos & Economidou, Claire & Karkalakos, Sotiris & Tsionas, Efthymios G., 2016, "Mobility of knowledge and local innovation activity," European Economic Review, Elsevier, volume 85, issue C, pages 39-61, DOI: 10.1016/j.euroecorev.2016.01.008.
• Maheu, John M. & Yang, Qiao, 2016, "An infinite hidden Markov model for short-term interest rates," Journal of Empirical Finance, Elsevier, volume 38, issue PA, pages 202-220, DOI: 10.1016/j.jempfin.2016.06.006.
• Galvão, Ana Beatriz & Giraitis, Liudas & Kapetanios, George & Petrova, Katerina, 2016, "A time varying DSGE model with financial frictions," Journal of Empirical Finance, Elsevier, volume 38, issue PB, pages 690-716, DOI: 10.1016/j.jempfin.2016.02.012.
• Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2016, "In search of the Euro area fiscal stance," Journal of Empirical Finance, Elsevier, volume 39, issue PB, pages 254-264, DOI: 10.1016/j.jempfin.2016.06.007.
• Poudineh, Rahmatallah & Jamasb, Tooraj, 2016, "Determinants of investment under incentive regulation: The case of the Norwegian electricity distribution networks," Energy Economics, Elsevier, volume 53, issue C, pages 193-202, DOI: 10.1016/j.eneco.2014.08.021.
• Chan, Joshua C.C. & Grant, Angelia L., 2016, "Modeling energy price dynamics: GARCH versus stochastic volatility," Energy Economics, Elsevier, volume 54, issue C, pages 182-189, DOI: 10.1016/j.eneco.2015.12.003.
• Naser, Hanan, 2016, "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, volume 56, issue C, pages 75-87, DOI: 10.1016/j.eneco.2016.02.017.
• Low, Rand Kwong Yew & Yao, Yiran & Faff, Robert, 2016, "Diamonds vs. precious metals: What shines brightest in your investment portfolio?," International Review of Financial Analysis, Elsevier, volume 43, issue C, pages 1-14, DOI: 10.1016/j.irfa.2015.11.002.
• Bekiros, Stelios & Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2016, "Dealing with financial instability under a DSGE modeling approach with banking intermediation: A predictability analysis versus TVP-VARs," Journal of Financial Stability, Elsevier, volume 26, issue C, pages 216-227, DOI: 10.1016/j.jfs.2016.07.006.
• Billio, Monica & Casarin, Roberto & Costola, Michele & Pasqualini, Andrea, 2016, "An entropy-based early warning indicator for systemic risk," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 45, issue C, pages 42-59, DOI: 10.1016/j.intfin.2016.05.008.
• Iiboshi, Hirokuni, 2016, "A multiple DSGE-VAR approach: Priors from a combination of DSGE models and evidence from Japan," Japan and the World Economy, Elsevier, volume 40, issue C, pages 1-8, DOI: 10.1016/j.japwor.2016.07.004.
• Lunawat, Radhika, 2016, "Reputation effects of information sharing," Journal of Economic Behavior & Organization, Elsevier, volume 131, issue PA, pages 75-91, DOI: 10.1016/j.jebo.2016.08.006.
• Donayre, Luiggi & Panovska, Irina, 2016, "State-dependent exchange rate pass-through behavior," Journal of International Money and Finance, Elsevier, volume 64, issue C, pages 170-195, DOI: 10.1016/j.jimonfin.2016.02.018.
• Abdymomunov, Azamat & Kang, Kyu Ho & Kim, Ki Jeong, 2016, "Can credit spreads help predict a yield curve?," Journal of International Money and Finance, Elsevier, volume 64, issue C, pages 39-61, DOI: 10.1016/j.jimonfin.2016.02.003.
• Chatterjee, Arpita, 2016, "Globalization and monetary policy comovement: International evidence," Journal of International Money and Finance, Elsevier, volume 68, issue C, pages 181-202, DOI: 10.1016/j.jimonfin.2016.06.019.
• Sheen, Jeffrey & Wang, Ben Zhe, 2016, "Assessing labor market frictions in a small open economy," Journal of Macroeconomics, Elsevier, volume 48, issue C, pages 231-251, DOI: 10.1016/j.jmacro.2016.02.006.
• Ji, Yangyang & Xiao, Wei, 2016, "Government spending multipliers and the zero lower bound," Journal of Macroeconomics, Elsevier, volume 48, issue C, pages 87-100, DOI: 10.1016/j.jmacro.2016.03.002.
• Taylor, Nick, 2016, "Roll strategy efficiency in commodity futures markets," Journal of Commodity Markets, Elsevier, volume 1, issue 1, pages 14-34, DOI: 10.1016/j.jcomm.2015.12.001.
• Lombardi, Marco J. & Ravazzolo, Francesco, 2016, "On the correlation between commodity and equity returns: Implications for portfolio allocation," Journal of Commodity Markets, Elsevier, volume 2, issue 1, pages 45-57, DOI: 10.1016/j.jcomm.2016.07.005.
• Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016, "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, Elsevier, chapter 0, in: J. B. Taylor & Harald Uhlig, "Handbook of Macroeconomics", DOI: 10.1016/bs.hesmac.2016.03.006.
• Lubik, Thomas A. & Matthes, Christian, 2016, "Indeterminacy and learning: An analysis of monetary policy in the Great Inflation," Journal of Monetary Economics, Elsevier, volume 82, issue C, pages 85-106, DOI: 10.1016/j.jmoneco.2016.07.006.
• Pascoal, Rui & Augusto, Mário & Monteiro, A.M., 2016, "Size distribution of Portuguese firms between 2006 and 2012," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 458, issue C, pages 342-355, DOI: 10.1016/j.physa.2016.04.010.
• Schorfheide, Frank & Wolpin, Kenneth I., 2016, "To hold out or not to hold out," Research in Economics, Elsevier, volume 70, issue 2, pages 332-345, DOI: 10.1016/j.rie.2016.02.001.
• Kim, Changjoo & Parent, Olivier, 2016, "Modeling individual travel behaviors based on intra-household interactions," Regional Science and Urban Economics, Elsevier, volume 57, issue C, pages 1-11, DOI: 10.1016/j.regsciurbeco.2015.12.002.
• Kataria, Mitesh, 2016, "Confirmation: What's in the evidence?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, volume 65, issue C, pages 9-15, DOI: 10.1016/j.socec.2016.09.004.
• Thomas Persson, 2016, "DSGE Models for Policy Analysis," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 59, issue 1, pages 1-32.
• Andrew G. Chapple, 2016, "A Bayesian Reversible Jump Piecewise Hazard approach for modeling rate changes in mass shootings," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 59, issue 3, pages 19-31.
• Jitendra Kuma & Anoop Chaturvedi & Umme Afifa, 2016, "Bayesian Unit Root Test for Panel Data," EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels, number EERI RP 2016/14, Jan.
• Andrew G. Chapple, 2016, "A Bayesian Reversible Jump Piecewise Hazard approach for modelling rate changes in mass shootings," EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels, number EERI RP 2016/24, Nov.
• Hilde C. Bjornland & Francesco Ravazzolo & Leif Anders Thorsrud, 2016, "Forecasting GDP with Global Components. This Time Is Different," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2016-26, May.
• Joshua C.C. Chan & Angelia L. Grant, 2016, "Reconciling Output Gaps: Unobserved Components Model and Hodrick-Prescott Filter," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2016-44, Jul.
• Luis Arce & David Quiroz & José Villegas, 2016, "The Role of Aggregate Demand and Resource Distribution Policies in the Elusive Search for High Economic Growth Rates," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 1, issue 2, pages 1-34, July.
• Luis Arce & David Quiroz & José Villegas, 2016, "El Papel de las Políticas de Demanda Agregada y Distribución de Recursos en la elusiva búsqueda de tasas de crecimiento económico elevadas," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 1, issue 2, pages 99-142, Julio.
• Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pinter, Gabor, 2016, "VAR models with non-Gaussian shocks," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 86238, Feb.
• Antonello D’Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2016, "Nowcasting Business Cycles: A Bayesian Approach to Dynamic Heterogeneous Factor Models," Advances in Econometrics, Emerald Group Publishing Limited, "Dynamic Factor Models", DOI: 10.1108/S0731-905320150000035014.
• Mihaela Craioveanu & Dek Terrell, 2016, "The Impact of Storms on Firm Survival: A Bayesian Spatial Econometric Model for Firm Survival," Advances in Econometrics, Emerald Group Publishing Limited, "Spatial Econometrics: Qualitative and Limited Dependent Variables", DOI: 10.1108/S0731-905320160000037010.
• Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2016, "Bayesian Spatial Bivariate Panel Probit Estimation," Advances in Econometrics, Emerald Group Publishing Limited, "Spatial Econometrics: Qualitative and Limited Dependent Variables", DOI: 10.1108/S0731-905320160000037011.
• Yiyi Wang & Kara M. Kockelman & Paul Damien, 2016, "A Multivariate Spatial Analysis for Anticipating New Firm Counts," Advances in Econometrics, Emerald Group Publishing Limited, "Spatial Econometrics: Qualitative and Limited Dependent Variables", DOI: 10.1108/S0731-905320160000037014.
• Jacob Dearmon & Tony E. Smith, 2016, "Local Marginal Analysis of Spatial Data: A Gaussian Process Regression Approach with Bayesian Model and Kernel Averaging," Advances in Econometrics, Emerald Group Publishing Limited, "Spatial Econometrics: Qualitative and Limited Dependent Variables", DOI: 10.1108/S0731-905320160000037018.
• Guo, X. & McAleer, M.J. & Wong, W.-K. & Zhu, L., 2016, "A Bayesian Approach to Excess Volatility, Short-term Underreaction and Long-term Overreaction during Financial Crises," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2016-01, Jan.
• Byrne, JP & Cao, S & Korobilis, D, 2016, "Decomposing Global Yield Curve Co-Movement," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 18194, May.
• Milan Ficura & Jiri Witzany, 2016, "Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 66, issue 4, pages 278-301, August.
• Brent Meyer & Saeed Zaman, 2016, "The Usefulness of the Median CPI in Bayesian VARs Used for Macroeconomic Forecasting and Policy," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2016-13, Nov.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016, "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1617, Jun.
• Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2016, "Measuring Uncertainty and Its Impact on the Economy," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1622, Oct.
• Alexander W. Richter & Nathaniel A. Throckmorton, 2016, "Are nonlinear methods necessary at the zero lower bound?," Working Papers, Federal Reserve Bank of Dallas, number 1606, Aug, DOI: 10.24149/wp1606.
• Minchul Shin & Molin Zhong, 2016, "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-040, Apr, DOI: 10.17016/FEDS.2016.040.
• Edward P. Herbst & Frank Schorfheide, 2016, "Tempered Particle Filtering," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-072, Aug, DOI: 10.17016/FEDS.2016.072.
• Daniel O. Beltran & David Draper, 2016, "Estimating Dynamic Macroeconomic Models : How Informative Are the Data?," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1175, Aug, DOI: 10.17016/IFDP.2016.1175.
• Leonardo Melosi, 2016, "Signaling Effects of Monetary Policy," Working Paper Series, Federal Reserve Bank of Chicago, number WP-2016-14, Sep.
• Francesco Bianchi & Leonardo Melosi, 2016, "Constrained Discretion and Central Bank Transparency," Working Paper Series, Federal Reserve Bank of Chicago, number WP-2016-15, Oct.
• Troy Davig & Aaron Smalter Hall, 2016, "Recession forecasting using Bayesian classification," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 16-6, Aug, DOI: 10.18651/RWP2016-06.
• Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016, "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, volume 4, issue 1, pages 1-20, March.
• Arnaud Dufays, 2016, "Evolutionary Sequential Monte Carlo Samplers for Change-Point Models," Econometrics, MDPI, volume 4, issue 1, pages 1-33, March.
• David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2016, "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, volume 4, issue 1, pages 1-19, March.
• Guido Travaglini, 2016, "Time-varying parameter estimation in macroeconometrics," Public Finance Research Papers, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome, number 26, Nov.
• Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016, "Bayesian Compressed Vector Autoregressions," Working Papers, Business School - Economics, University of Glasgow, number 2016_09, Mar.
• Jean-Pierre Florens & Anna Simoni, 2016, "Regularizing Priors For Linear Inverse Problems," Post-Print, HAL, number hal-03089887, Feb, DOI: 10.1017/S0266466614000796.
• Franz Dietrich & Christian List, 2016, "Probabilistic opinion pooling," Post-Print, HAL, number halshs-00978032.
• Franz Dietrich & Christian List, 2016, "Probabilistic opinion pooling," PSE-Ecole d'économie de Paris (Postprint), HAL, number halshs-00978032.
• Massimiliano Caporin & Michele Costola & Gregory Mathieu Jannin & Bertrand Maillet, 2016, "On the (Ab)Use of Omega?," Working Papers, HAL, number hal-01697640, Jul.
• Blaise Gnimassoun & Joseph Keneck Massil, 2016, "Determinants of corruption: Can we put all countries in the same basket?," Working Papers, HAL, number hal-04141599.
• Majda Benzidia & Michel Lubrano, 2016, "A Bayesian Look at American Academic Wages: The Case of Michigan State University," Working Papers, HAL, number halshs-01358882, Nov.
• Majda Benzidia & Michel Lubrano & Paolo Melindi-Ghidi, 2016, "Education Politics, Schooling Choice and Public School Quality: The Impact of Income Polarisation," Working Papers, HAL, number halshs-01405622, Nov.
• Doppelhofer, Gernot & Hansen, Ole-Petter Moe & Weeks, Melvyn, 2016, "Determinants of long-term economic Growth redux: A Measurement Error Model Averaging (MEMA) approach," Discussion Paper Series in Economics, Norwegian School of Economics, Department of Economics, number 19/2016, Dec.
• Raoufina, Karine, 2016, "Forecasting Employment Growth in Sweden Using a Bayesian VAR Model," Working Papers, National Institute of Economic Research, number 144, Jun.
• Stylianos Asimakopoulos & Marco Lorusso & Luca Pieroni, 2016, "Can Public Spending Boost Private Consumption?," CEERP Working Paper Series, Centre for Energy Economics Research and Policy, Heriot-Watt University, number 005, Dec.
• Ikechukwu Kelikume & Faith A. Alabi & Roseline Chizoba Ike-Anikwe, 2016, "An Empirical Analysis Of Monetary Policy Reaction Function: Evidence From Nigeria," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, volume 10, issue 1, pages 13-25.
• Rilind Kabashi & Katerina Suleva, 2016, "Loan Supply Shocks in Macedonia: A Bayesian SVAR Approach with Sign Restrictions," Croatian Economic Survey, The Institute of Economics, Zagreb, volume 18, issue 1, pages 5-33, June.
• Abhishek Gupta, 2016, "A Forecasting Metric for Evaluating DSGE Models for Policy Analysis," International Journal of Central Banking, International Journal of Central Banking, volume 12, issue 1, pages 33-65, March.
• Kristina Bluwstein & Fabio Canova, 2016, "Beggar-Thy-Neighbor? The International Effects of ECB Unconventional Monetary Policy Measures," International Journal of Central Banking, International Journal of Central Banking, volume 12, issue 3, pages 69-120, September.
• Michal Andrle & Miroslav Plašil, 2016, "System Priors for Econometric Time Series," IMF Working Papers, International Monetary Fund, number 2016/231, Nov.

2015

• Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2015, "Testing for Level Shifts in Fractionally Integrated Processes: a State Space Approach," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-30, Jun.
• Markku Lanne & Jani Luoto, 2015, "Estimation of DSGE Models under Diffuse Priors and Data-Driven Identification Constraints," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-37, Aug.
• Kota Ogasawara & Genya Kobayashi, 2015, "The impact of social workers on infant mortality in inter-war Tokyo: Bayesian dynamic panel quantile regression with endogenous variables," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), volume 9, issue 1, pages 97-130, January, DOI: 10.1007/s11698-014-0110-1.
• Wang, Yang & Annan, Francis, 2015, "Estimation of Yield Densities: A Bayesian Nonparametric Perspective," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California, Agricultural and Applied Economics Association, number 204325, DOI: 10.22004/ag.econ.204325.
• Hudak, Michael, 2015, "Estimating US Crop Supply Model Elasticities Using PMP and Bayesian Analysis," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California, Agricultural and Applied Economics Association, number 205279, DOI: 10.22004/ag.econ.205279.
• Michler, Jeffrey D. & Viens, Frederi G. & Shively, Gerald E., 2015, "Risk, Agricultural Production, and Weather Index Insurance in Village South Asia," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California, Agricultural and Applied Economics Association, number 205297, DOI: 10.22004/ag.econ.205297.
• Michler, Jeffrey D. & Viens, Frederi & Shively, Gerald, 2015, "Risk, Agricultural Production, and Weahter Index Insurance in Village South Asia," 2015 Conference, August 9-14, 2015, Milan, Italy, International Association of Agricultural Economists, number 212460, DOI: 10.22004/ag.econ.212460.
• Johannes, Jan & Simoni, Anna & Schenk, Rudolf, 2015, "Adaptive Bayesian estimation in indirect Gaussian sequence space models," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2015003, Jan.
• Marcin Blazejowski & Jacek Kwiatkowski, 2015, "Bayesian Model Averaging and Jointness Measures for gretl," gretl working papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 2, Oct.
• Sinan Apak, 2015, "A Bayesian Approach Proposal For Inventory Cost and Demand Forecasting," Alphanumeric Journal, Bahadir Fatih Yildirim, volume 3, issue 2, pages 41-48, December, DOI: http://dx.doi.org/10.17093/aj.2015..
• Pawel Baranowski & Zbigniew Kuchta, 2015, "Changes in nominal rigidities in Poland – a regime switching DSGE perspective," Lodz Economics Working Papers, University of Lodz, Faculty of Economics and Sociology, number 6/2015, Dec.
• Alberto Vindas-Quesada & Carlos Monge-Badilla, 2015, "Combination of Potential Output Estimates With a Bayesian Method," Documentos de Trabajo, Banco Central de Costa Rica, number 1501, Jul.
• Carlos Chaverri-Morales & Juan Diego Chavarría Mejía, 2015, "Forecasting Inflation With Bayesian Techniques," Documentos de Trabajo, Banco Central de Costa Rica, number 1505, Nov.
• Gaurab Aryal & Dong-Hyuk Kim, 2015, "Empirical Relevance of Ambiguity in First Price Auction Models," Papers, arXiv.org, number 1504.02516, Apr.
• Jaroslava Hlouskova & Leopold Sogner, 2015, "GMM Estimation of Affine Term Structure Models," Papers, arXiv.org, number 1508.01661, Aug.
• Miguel Sarmiento & Jorge E. Galán, 2015, "The influence of risk-taking on bank efficiency: evidence from Colombia," Working Papers, Banco de España, number 1537, Dec.
• Miguel Sarmiento & Jorge E. Galán, 2015, "The Influence of Risk-Taking on Bank Efficiency: Evidence from Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 894, Jul, DOI: 10.32468/be.894.
• Rolando Gonzales Martínez, 2015, "Nicaragua: inflación de umbral, crecimiento económico y la nueva política monetaria después de la crisis internacional," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, volume 33, issue 76, pages 31-43, April, DOI: 10.1016/j.espe.2015.01.003.
• Michael Jetter & Andrés Ramírez Hassan, 2015, "Want Export Diversification? Educate The Kids First," Economic Inquiry, Western Economic Association International, volume 53, issue 4, pages 1765-1782, October.
• Daniel Fernández-Kranz & Marie Paul & Núria Rodríguez-Planas, 2015, "Part-Time Work, Fixed-Term Contracts, and the Returns to Experience," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 77, issue 4, pages 512-541, August.
• Manfred M. Fischer & James P. LeSage, 2015, "A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe," Papers in Regional Science, Wiley Blackwell, volume 94, issue 4, pages 677-702, November.
• Tim Oliver Berg, 2015, "Technology News and the US Economy: Time Variation and Structural Changes," Scottish Journal of Political Economy, Scottish Economic Society, volume 62, issue 3, pages 227-263, July.
• Hilde C. Bjørnland & Francesco Ravazzolo & Leif Anders Thorsrud, 2015, "Forecasting GDP with global components. This time is different," Working Paper, Norges Bank, number 2015/05, Mar.
• Claudia Foroni & Francesco Furlanetto & Antoine Lepetit, 2015, "Labor Supply Factors and Economic Fluctuations," Working Paper, Norges Bank, number 2015/07, Apr.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2015, "Dynamic predictive density combinations for large data sets in economics and finance," Working Paper, Norges Bank, number 2015/12, Jul.
• Drago Bergholt, 2015, "Foreign shocks," Working Paper, Norges Bank, number 2015/15, Nov.
• Hilde C. Bjørnland & Francesco Ravazzolo & Leif Anders Thorsrud, 2015, "Forecasting GDP with global components. This time is different," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 1/2015, Jan.
• Hilde C. Bjørnland & Vegard H. Larsen, 2015, "Oil and macroeconomic (in)stability," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 7/2015, Jun.
• Fabian Kr ger & Todd E. Clark & Francesco Ravazzolo, 2015, "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 8/2015, Aug.
• Davide Pettenuzzo & Francesco Ravazzolo, 2015, "Optimal Portfolio Choice under Decision-Based Model Combinations," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 9/2015, Aug.
• Drago Bergholt, 2015, "Foreign Shocks," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 11/2015, Nov.
• Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2015, "Forecasting with VAR models: fat tails and stochastic volatility," Bank of England working papers, Bank of England, number 528, May.
• Ching-Wai (Jeremy) Chiu & John Hill, 2015, "The rate elasticity of retail deposits in the United Kingdom: a macroeconomic investigation," Bank of England working papers, Bank of England, number 540, Aug.
• Rohan Churm & Mike Joyce & George Kapetanios & Konstantinos Theodoridis, 2015, "Unconventional monetary policies and the macroeconomy: the impact of the United Kingdom's QE2 and Funding for Lending Scheme," Bank of England working papers, Bank of England, number 542, Aug.
• Andrew Meldrum & Matt Roberts-Sklar, 2015, "Long-run priors for term structure models," Bank of England working papers, Bank of England, number 575, Dec.
• Naoko Hara & Kazuhiro Hiraki & Yoshitaka Ichise, 2015, "Changing Exchange Rate Pass-Through in Japan: Does It Indicate Changing Pricing Behavior?," Bank of Japan Working Paper Series, Bank of Japan, number 15-E-4, Jun.
• Ki-Ho Kim, 2015, "GVAR Analysis on 6 Korean Broad Regions - Bayesian Cointegration Approach (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, volume 21, issue 4, pages 97-131, December.
• Kyu Ho Kang & Hyung Suk Oh, 2015, "The Effect of U.S. Long-Term Interest Rates on the Term Structure of Korean Interest Rates (in Korean)," Working Papers, Economic Research Institute, Bank of Korea, number 2015-2, Jan.
• Wesselbaum Dennis, 2015, "What drives endogenous growth in the United States?," The B.E. Journal of Macroeconomics, De Gruyter, volume 15, issue 1, pages 183-221, January, DOI: 10.1515/bejm-2013-0179.
• Burda Martin, 2015, "Constrained Hamiltonian Monte Carlo in BEKK GARCH with Targeting," Journal of Time Series Econometrics, De Gruyter, volume 7, issue 1, pages 95-113, January, DOI: 10.1515/jtse-2013-0013.
• Jochmann Markus & Koop Gary, 2015, "Regime-switching cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 19, issue 1, pages 35-48, February, DOI: 10.1515/snde-2012-0064.
• Bekiros Stelios & Paccagnini Alessia, 2015, "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 19, issue 2, pages 107-136, April, DOI: 10.1515/snde-2013-0061.
• Abdymomunov Azamat & Kang Kyu Ho, 2015, "The effects of monetary policy regime shifts on the term structure of interest rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 19, issue 2, pages 183-207, April, DOI: 10.1515/snde-2013-0031.
• Donayre Luiggi, 2015, "Do monetary policy shocks generate TAR or STAR dynamics in output?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 19, issue 2, pages 227-247, April, DOI: 10.1515/snde-2013-0038.
• Nonejad Nima, 2015, "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 19, issue 5, pages 561-584, December, DOI: 10.1515/snde-2014-0043.
• Thilo Klein, 2015, "Does Anti-Diversification Pay? A One-Sided Matching Model of Microcredit," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 1521, Jul.
• Jakob Grazzini & Matteo G. Richiardi & Mike Tsionas, 2015, "Bayesian Estimation of Agent-Based Models," LABORatorio R. Revelli Working Papers Series, LABORatorio R. Revelli, Centre for Employment Studies, number 145.
• David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015, "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
• Toda, Alexis Akira, 2015, "Bayesian general equilibrium," University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego, number qt1g6889mk, Feb.
• Kajal Lahiri & Liu Yang, 2015, "A Non-linear Forecast Combination Procedure for Binary Outcomes," CESifo Working Paper Series, CESifo, number 5175.
• Tim Oliver Berg, 2015, "Forecast Accuracy of a BVAR under Alternative Specifications of the Zero Lower Bound," ifo Working Paper Series, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 203.
• Mario V. Wuthrich & Michael Merz, 2015, "Stochastic Claims Reserving Manual: Advances in Dynamic Modeling," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-34, Aug.
• Stéphane Lhuissier, 2015, "The Regime-switching volatility of Euro Area Business Cycles," Working Papers, CEPII research center, number 2015-22, Nov.
• Guy Lacroix & Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi, 2015, "Robust linear static panel data models using ε-contamination," CIRANO Working Papers, CIRANO, number 2015s-30, Jul.
• Louis Lévy-Garboua & Muniza Askari & Marco Gazel, 2015, "Confidence Biases and Learning among Intuitive Bayesians," CIRANO Working Papers, CIRANO, number 2015s-51, Nov.
• Tomas Havranek & Diana Zigraiova, 2015, "Bank Competition and Financial Stability: Much Ado about Nothing?," Working Papers, Czech National Bank, Research and Statistics Department, number 2015/02, Apr.
• Michal Franta, 2015, "Rare Shocks vs. Non-linearities: What Drives Extreme Events in the Economy? Some Empirical Evidence," Working Papers, Czech National Bank, Research and Statistics Department, number 2015/04, Jun.
• Miroslav Plasil & Tomas Konecny & Jakub Seidler & Petr Hlavac, 2015, "In the Quest of Measuring the Financial Cycle," Working Papers, Czech National Bank, Research and Statistics Department, number 2015/05, Jul.
• Oscar Andrés Espinosa & Paola Andrea Vaca, 2015, "Incidencias de los sectores financiero, fiscal y externo en la actividad económica colombiana: una aproximación VAR Bayesiana," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE.
• Miguel Sarmiento & Jorge E. Gal�n, 2015, "The Influence of Risk-Taking on Bank Efficiency: Evidence from Colombia," Borradores de Economia, Banco de la Republica, number 13254, Jul.
• Rolando Gonzales Martínez, 2015, "Nicaragua: inflación de umbral, crecimiento económico y la nueva política monetaria después de la crisis internacional," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, volume 33, issue 76, pages 31-43, DOI: 10.1016/j.espe.2015.01.003.
• Andr´es Ramírez Hassan & Santiago Montoya Bland�n, 2015, "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 13678, Jul.
• Daniel Barráez Guzmán & Mariela Perdomo Le�n, 2015, "Comportamiento estructural y predictivo de variables macroecónomicas: combinando MEEGD y VAR," Revista Semestre Económico, Universidad de Medellín, volume 13, issue 27, pages 81-97.
• Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015, "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2015007, Feb.
• Deschamps, P., 2015, "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2015020, May.
• Dufays, A. & Rombouts, V., 2015, "Sparse Change-Point Time Series Models," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2015032, Jul.
• BAUWENS, Luc & KOOP, Gary & KOROBILIS, Dimitris & ROMBOUTS, Jeroen, 2015, "The Contribution of Structural Break Models to Forecating Macroeconomic Series," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2651, Jan.
• Yang, Yuan & Wang, Lu, 2015, "An Improved Auxiliary Particle Filter for Nonlinear Dynamic Equilibrium Models," Dynare Working Papers, CEPREMAP, number 47, Nov.
• Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015, "Hawks and Doves at the FOMC," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 10442, Feb.
• Eijffinger, Sylvester & Uras, Burak & Grajales, Anderson, 2015, "Heterogeneity in Wage Setting Behavior in a New-Keynesian Model," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 10532, Apr.
• Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2015, "Structural Analysis with Multivariate Autoregressive Index Models," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 10801, Sep.
• Canova, Fabio & Bluwstein, Kristina, 2015, "Beggar-thy-neighbor? The international effects of ECB unconventional monetary policy measures," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 10856, Oct.
• Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015, "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11032, Dec.
• Jean-Pierre Florens & Anna Simoni, 2015, "Gaussian processes and Bayesian moment estimation," Working Papers, Center for Research in Economics and Statistics, number 2015-09, Nov.
• Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015, "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number ws1517, Jul.
• Shachat, Jason & Swarthout, J. Todd & Wei, Lijia, 2015, "A Hidden Markov Model For The Detection Of Pure And Mixed Strategy Play In Games," Econometric Theory, Cambridge University Press, volume 31, issue 4, pages 729-752, August.
• Blaise Gnimassoun, 2015, "Exchange rate misalignments and the external balance under a pegged currency system," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2015-9.
• Camba-Méndez, Gonzalo & Kapetanios, George & Papailias, Fotis & Weale, Martin R., 2015, "An automatic leading indicator, variable reduction and variable selection methods using small and large datasets: Forecasting the industrial production growth for euro area economies," Working Paper Series, European Central Bank, number 1773, Apr.
• Warne, Anders & Droumaguet, Matthieu & Woźniak, Tomasz, 2015, "Granger causality and regime inference in Bayesian Markov-Switching VARs," Working Paper Series, European Central Bank, number 1794, May.