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

• Petra Čekmeová, 2016, "Celková Faktorová Produktivita A Jej Determinanty V Európskej Únii (Total Factor Productivity And Its Determinants In The European Union)," Medzinarodne vztahy (Journal of International Relations), Ekonomická univerzita, Fakulta medzinárodných vzťahov, volume 14, issue 1, pages 19-35.
• Karen Poghosyan, 2016, "A Comparison of Different Short-Term Macroeconomic Forecasting Models: Evidence from Armenia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, volume 5, issue 2, pages 81-99.
• Robert Ambrisko, 2016, "Growth-Friendly Fiscal Strategies for the Czech Economy," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp563, Apr.
• Nikolay Hristov, 2016, "The Ifo DSGE Model for the German Economy," ifo Working Paper Series, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 210.
• Ching-Wai Chiu & Haroon Mumtaz & Gabor Pinter, 2016, "VAR Models with Non-Gaussian Shocks," Discussion Papers, Centre for Macroeconomics (CFM), number 1609, Feb.
• Eric Jondeau & Michael Rockinger, 2016, "Forecasting Financial Returns with a Structural Macroeconomic Model," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 16-13, Mar.
• Michal Franta, 2016, "Iterated Multi-Step Forecasting with Model Coefficients Changing Across Iterations," Working Papers, Czech National Bank, Research and Statistics Department, number 2016/05, Jun.
• Jan Babecky & Michal Franta & Jakub Rysanek, 2016, "Effects of Fiscal Policy in the DSGE-VAR Framework: The Case of the Czech Republic," Working Papers, Czech National Bank, Research and Statistics Department, number 2016/09, Nov.
• Alexander Guar�n-L�pez & Ignacio Lozano-Espitia, 2016, "Credit Funding and Banking Fragility: An Empirical Analysis for Emerging Economies," Borradores de Economia, Banco de la Republica, number 14306, Mar.
• Francisco Venegas-Martínez & Jos� Francisco Mart�nez-S�nchez & Mar�a Teresa V. Mart�nez-Palacios, 2016, "An analysis on operational risk in international banking: A Bayesian approach (2007–2011)," Estudios Gerenciales, Universidad Icesi, volume 32, issue 140, pages 208-220.
• DESCHAMPS, Philippe J., 2016, "Bayesian Semiparametric Forecasts of Real Interest Rate Data," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2016050, Nov.
• Hjortsø, Ida & Weale, Martin & Wieladek, Tomasz, 2016, "Monetary Policy and the Current Account: Theory and Evidence," CEPR Discussion Papers, Centre for Economic Policy Research, number 11204, Mar.
• Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2016, "Priors for the Long Run," CEPR Discussion Papers, Centre for Economic Policy Research, number 11261, May.
• Aastveit, Knut Are & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2016, "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers, Centre for Economic Policy Research, number 11558, Oct.
• Abbate, Angela & Marcellino, Massimiliano, 2016, "Point, interval and density forecasts of exchange rates with time-varying parameter models," CEPR Discussion Papers, Centre for Economic Policy Research, number 11559, Oct.
• Bandiera, Oriana & Fischer, Greg & Prat, Andrea & Ytsma, Erina, 2016, "Do women respond less to performance pay? Building evidence from multiple experiments," CEPR Discussion Papers, Centre for Economic Policy Research, number 11724, Dec.
• Florens, Jean-Pierre & Simoni, Anna, 2016, "Regularizing Priors For Linear Inverse Problems," Econometric Theory, Cambridge University Press, volume 32, issue 1, pages 71-121, February.
• Villa, Stefania, 2016, "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, volume 20, issue 5, pages 1313-1340, July.
• Leroi RAPUTSOANE, 2016, "Real Effective Exchange Rates Comovements and the South African Currency," Journal of Economics Library, EconSciences Journals, volume 3, issue 1, pages 57-68, March.
• Pawel Baranowski & Zbigniew Kuchta, 2016, "Changes in nominal rigidities in Poland - a regime switching DSGE perspective," Working Papers, Institute of Economics, Polish Academy of Sciences, number 39, Apr.
• Michele Piffer, 2016, "Assessing Identifying Restrictions in SVAR Models," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1563.
• Annika Schnücker, 2016, "Restrictions Search for Panel VARs," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1612.
• Blaise Gnimassoun & Joseph Keneck Massil, 2016, "Determinants of corruption: Can we put all countries in the same basket?," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2016-12.
• Clément Bonnet, 2016, "Measuring Knowledge with Patent Data: an Application to Low Carbon Energy Technologies," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2016-37.
• Camba-Méndez, Gonzalo & Serwa, Dobromil & Kostrzewa, Konrad & Marszal, Anna, 2016, "Pricing sovereign credit risk of an emerging market," Working Paper Series, European Central Bank, number 1924, Jun.
• Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016, "The BEAR toolbox," Working Paper Series, European Central Bank, number 1934, Jul.
• Manganelli, Simone, 2016, "Deciding with judgment," Working Paper Series, European Central Bank, number 1947, Aug.
• Dmitry Kulikov & Aleksei Netsunajev, 2016, "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers, Bank of Estonia, number wp2015-8, Feb, revised 19 Feb 2016.
• Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2016, "Efficient Gibbs sampling for Markov switching GARCH models," Computational Statistics & Data Analysis, Elsevier, volume 100, issue C, pages 37-57, DOI: 10.1016/j.csda.2014.04.011.
• Chan, Joshua C.C. & Grant, Angelia L., 2016, "Fast computation of the deviance information criterion for latent variable models," Computational Statistics & Data Analysis, Elsevier, volume 100, issue C, pages 847-859, DOI: 10.1016/j.csda.2014.07.018.
• Korobilis, Dimitris, 2016, "Prior selection for panel vector autoregressions," Computational Statistics & Data Analysis, Elsevier, volume 101, issue C, pages 110-120, DOI: 10.1016/j.csda.2016.02.011.
• Rychalovska, Yuliya, 2016, "The implications of financial frictions and imperfect knowledge in the estimated DSGE model of the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, volume 73, issue C, pages 259-282, DOI: 10.1016/j.jedc.2016.09.014.
• Ng, Adam & Ibrahim, Mansor H. & Mirakhor, Abbas, 2016, "Does trust contribute to stock market development?," Economic Modelling, Elsevier, volume 52, issue PA, pages 239-250, DOI: 10.1016/j.econmod.2014.10.056.
• 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.
• 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.