Ivan Jeliazkov
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
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Articles
- Ivan Jeliazkov & Angela Vossmeyer, 2018.
"The impact of estimation uncertainty on covariate effects in nonlinear models,"
Statistical Papers, Springer, vol. 59(3), pages 1031-1042, September.
Cited by:
- Mohammad Arshad Rahman & Angela Vossmeyer, 2019.
"Estimation and Applications of Quantile Regression for Binary Longitudinal Data,"
Papers
1909.05560, arXiv.org.
- Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Group Publishing Limited.
- Angela Vossmeyer, 2019. "Analysis of Stigma and Bank Credit Provision," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 163-194, February.
- Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020.
"Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada,"
IZA Discussion Papers
12928, Institute of Labor Economics (IZA).
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," CIRANO Working Papers 2020s-08, CIRANO.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Post-Print hal-04129345, HAL.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers 2001.09295, arXiv.org.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
- Sanjiv R. Das & Kris James Mitchener & Angela Vossmeyer, 2022. "Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1261-1312, August.
- Padma Sharma, 2022. "Assessing Regulatory Responses to Banking Crises," Research Working Paper RWP 22-04, Federal Reserve Bank of Kansas City.
- Mohammad Arshad Rahman & Angela Vossmeyer, 2019.
"Estimation and Applications of Quantile Regression for Binary Longitudinal Data,"
Papers
1909.05560, arXiv.org.
- Choudhary, Vidyanand & Currim, Imran & Dewan, Sanjeev & Jeliazkov, Ivan & Mintz, Ofer & Turner, John, 2017.
"Evaluation Set Size and Purchase: Evidence from a Product Search Engine,"
Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 16-31.
Cited by:
- Sanjiv R. Das & Kris James Mitchener & Angela Vossmeyer, 2018.
"Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression,"
NBER Working Papers
25405, National Bureau of Economic Research, Inc.
- Sanjiv R. Das & Kris James Mitchener & Angela Vossmeyer, 2018. "Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression," CESifo Working Paper Series 7425, CESifo.
- Djonata Schiessl & Helison Bertoli Alves Dias & José Carlos Korelo, 2022. "Artificial intelligence in marketing: a network analysis and future agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 207-218, September.
- José Ramón Saura & Pedro Palos-Sánchez & Luis Manuel Cerdá Suárez, 2017. "Understanding the Digital Marketing Environment with KPIs and Web Analytics," Future Internet, MDPI, vol. 9(4), pages 1-13, November.
- Mitchener, Kris & Das, Sanjiv & Vossmeyer, Angela, 2018. "Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression," CEPR Discussion Papers 13416, C.E.P.R. Discussion Papers.
- Sanjiv R. Das & Kris James Mitchener & Angela Vossmeyer, 2022. "Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1261-1312, August.
- Sanjiv R. Das & Kris James Mitchener & Angela Vossmeyer, 2018.
"Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression,"
NBER Working Papers
25405, National Bureau of Economic Research, Inc.
- Ofer Mintz & Imran S. Currim & Ivan Jeliazkov, 2013.
"Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior,"
Marketing Science, INFORMS, vol. 32(5), pages 716-732, September.
Cited by:
- Christian Schlereth & Fabian Schulz, 2014. "Schnelle und einfache Messung von Bedeutungsgewichten mit der Restricted-Click-Stream Analyse: Ein Vergleich mit etablierten Präferenzmessmethoden," Schmalenbach Journal of Business Research, Springer, vol. 66(8), pages 630-657, December.
- Jiangyuan Hou & Mingyue Du & Qingjie Zhou, 2023. "What People Talk About Multi-Channel Purchasing Behavior and What They Intend to do: Related Perspective From ESG Evaluation System," SAGE Open, , vol. 13(4), pages 21582440231, October.
- Yanju Zhou & Yi Yu & Xiaohong Chen & Xiongwei Zhou, 2020. "Guanxi or Justice? An Empirical Study of WeChat Voting," Journal of Business Ethics, Springer, vol. 164(1), pages 201-225, June.
- Ke Gong & Yi Peng & Yong Wang & Maozeng Xu, 2018. "Time series analysis for C2C conversion rate," Electronic Commerce Research, Springer, vol. 18(4), pages 763-789, December.
- Diehl, Kristin & van Herpen, Erica & Lamberton, Cait, 2015. "Organizing Products with Complements versus Substitutes: Effects on Store Preferences as a Function of Effort and Assortment Perceptions," Journal of Retailing, Elsevier, vol. 91(1), pages 1-18.
- Gilbride, Timothy J. & Currim, Imran S. & Mintz, Ofer & Siddarth, S., 2016. "A Model for Inferring Market Preferences from Online Retail Product Information Matrices," Journal of Retailing, Elsevier, vol. 92(4), pages 470-485.
- Ivan Jeliazkov & Rui Liu, 2010.
"A model-based ranking of U.S. recessions,"
Economics Bulletin, AccessEcon, vol. 30(3), pages 2289-2296.
Cited by:
- Joshua C. C. Chan & Eric Eisenstat, 2015.
"Marginal Likelihood Estimation with the Cross-Entropy Method,"
Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 256-285, March.
- Chan, Joshua & Eisenstat, Eric, 2012. "Marginal Likelihood Estimation with the Cross-Entropy Method," MPRA Paper 40051, University Library of Munich, Germany.
- Joshua C C Chan & Eric Eisenstat, 2012. "Marginal Likelihood Estimation with the Cross-Entropy Method," CAMA Working Papers 2012-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua C C Chan & Cody Y L Hsiao, 2013. "Estimation of Stochastic Volatility Models with Heavy Tails and Serial Dependence," CAMA Working Papers 2013-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Paul Viefers, 2011. "Bayesian Inference for the Mixed-Frequency VAR Model," Discussion Papers of DIW Berlin 1172, DIW Berlin, German Institute for Economic Research.
- Joshua C. C. Chan & Eric Eisenstat, 2015.
"Marginal Likelihood Estimation with the Cross-Entropy Method,"
Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 256-285, March.
- Chib, Siddhartha & Jeliazkov, Ivan, 2006.
"Inference in Semiparametric Dynamic Models for Binary Longitudinal Data,"
Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 685-700, June.
Cited by:
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019.
"Forecasting with a Panel Tobit Model,"
CAEPR Working Papers
2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," NBER Working Papers 26569, National Bureau of Economic Research, Inc.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023. "Forecasting with a panel Tobit model," Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021. "Forecasting with a Panel Tobit Model," Papers 2110.14117, arXiv.org, revised Jul 2022.
- Hosoe, Nobuhiro & Takagi, Shingo, 2012.
"Retail power market competition with endogenous entry decision—An auction data analysis,"
Journal of the Japanese and International Economies, Elsevier, vol. 26(3), pages 351-368.
- Nobuhiro Hosoe & Shingo Takagi, 2011. "Retail Power Market Competition with Endogenous Entry Decision-An Auction Data Analysis," GRIPS Discussion Papers 11-01, National Graduate Institute for Policy Studies.
- Brajendra C. Sutradhar, 2022. "Fixed versus Mixed Effects Based Marginal Models for Clustered Correlated Binary Data: an Overview on Advances and Challenges," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 259-302, May.
- Mohammad Arshad Rahman & Angela Vossmeyer, 2019.
"Estimation and Applications of Quantile Regression for Binary Longitudinal Data,"
Papers
1909.05560, arXiv.org.
- Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Group Publishing Limited.
- Ivan Jeliazkov & Angela Vossmeyer, 2018. "The impact of estimation uncertainty on covariate effects in nonlinear models," Statistical Papers, Springer, vol. 59(3), pages 1031-1042, September.
- Kaeding, Matthias, 2015. "Flexible Modeling of Binary Data Using the Log-Burr Link," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113043, Verein für Socialpolitik / German Economic Association.
- Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020.
"Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada,"
IZA Discussion Papers
12928, Institute of Labor Economics (IZA).
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," CIRANO Working Papers 2020s-08, CIRANO.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Post-Print hal-04129345, HAL.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers 2001.09295, arXiv.org.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
- Bacolod, Marigee P. & Tobias, Justin L., 2006. "Schools, school quality and achievement growth: Evidence from the Philippines," Economics of Education Review, Elsevier, vol. 25(6), pages 619-632, December.
- Manini Ojha & Mohammad Arshad Rahman, 2020. "Do Online Courses Provide an Equal Educational Value Compared to In-Person Classroom Teaching? Evidence from US Survey Data using Quantile Regression," Papers 2007.06994, arXiv.org.
- Artur J. Lemonte & Jorge L. Bazán, 2018. "New links for binary regression: an application to coca cultivation in Peru," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 597-617, September.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36, Federal Reserve Bank of Cleveland.
- Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023.
"High-dimensional conditionally Gaussian state space models with missing data,"
Journal of Econometrics, Elsevier, vol. 236(1).
- Joshua C. C. Chan & Aubrey Poon & Dan Zhu, 2023. "High-Dimensional Conditionally Gaussian State Space Models with Missing Data," Papers 2302.03172, arXiv.org.
- Dimitrakopoulos, Stefanos, 2018. "Accounting for persistence in panel count data models. An application to the number of patents awarded," Economics Letters, Elsevier, vol. 171(C), pages 245-248.
- Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
- Ofer Mintz & Imran S. Currim & Ivan Jeliazkov, 2013. "Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior," Marketing Science, INFORMS, vol. 32(5), pages 716-732, September.
- Choudhary, Vidyanand & Currim, Imran & Dewan, Sanjeev & Jeliazkov, Ivan & Mintz, Ofer & Turner, John, 2017. "Evaluation Set Size and Purchase: Evidence from a Product Search Engine," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 16-31.
- Mertens, Elmar, 2023.
"Precision-based sampling for state space models that have no measurement error,"
Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
- Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Discussion Papers 25/2023, Deutsche Bundesbank.
- Zhao, Kaifeng & Lian, Heng, 2014. "Variational inferences for partially linear additive models with variable selection," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 223-239.
- Ivan Jeliazkov & Shubham Karnawat & Mohammad Arshad Rahman & Angela Vossmeyer, 2023. "Flexible Bayesian Quantile Analysis of Residential Rental Rates," Papers 2305.13687, arXiv.org, revised Sep 2023.
- Tong Li & Xiaoyong Zheng, 2008. "Semiparametric Bayesian inference for dynamic Tobit panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 699-728.
- Finn Lindgren & Håvard Rue, 2008. "On the Second‐Order Random Walk Model for Irregular Locations," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 691-700, December.
- Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models," Journal of Econometrics, Elsevier, vol. 143(2), pages 291-316, April.
- D. Rummel & T. Augustin & H. Küchenhoff, 2010. "Correction for Covariate Measurement Error in Nonparametric Longitudinal Regression," Biometrics, The International Biometric Society, vol. 66(4), pages 1209-1219, December.
- Ali Aghamohammadi, 2018. "Bayesian analysis of dynamic panel data by penalized quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 91-108, March.
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019.
"Forecasting with a Panel Tobit Model,"
CAEPR Working Papers
2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Siddhartha Chib & Ivan Jeliazkov, 2005.
"Accept–reject Metropolis–Hastings sampling and marginal likelihood estimation,"
Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(1), pages 30-44, February.
Cited by:
- Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018.
"A discrete/continuous choice model on a nonconvex budget set,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
- Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2013. "A Discrete/Continuous Choice Model on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-881, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori & Akira Hibiki, 2014. "A Discrete/Continuous Choice Model on a Nonconvex Budget Set," CIRJE F-Series CIRJE-F-942, CIRJE, Faculty of Economics, University of Tokyo.
- Joshua C.C. Chan & Rodney Strachan, 2014. "The Zero Lower Bound: Implications for Modelling the Interest Rate," Working Paper series 42_14, Rimini Centre for Economic Analysis.
- Hosoe, Nobuhiro & Takagi, Shingo, 2012.
"Retail power market competition with endogenous entry decision—An auction data analysis,"
Journal of the Japanese and International Economies, Elsevier, vol. 26(3), pages 351-368.
- Nobuhiro Hosoe & Shingo Takagi, 2011. "Retail Power Market Competition with Endogenous Entry Decision-An Auction Data Analysis," GRIPS Discussion Papers 11-01, National Graduate Institute for Policy Studies.
- Nakajima, Jouchi & Omori, Yasuhiro, 2009.
"Leverage, heavy-tails and correlated jumps in stochastic volatility models,"
Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
- Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," CIRJE F-Series CIRJE-F-514, CIRJE, Faculty of Economics, University of Tokyo.
- Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, Heavy-Tails and Correlated Jumps in Stochastic Volatility Models (Revised in January 2008; Published in "Computational Statistics and Data Analysis", 53-6, 2335-2353. April 2009. )," CARF F-Series CARF-F-107, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Joshua Chan & Rodney Strachan, 2012.
"Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods,"
CAMA Working Papers
2012-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chan, Joshua & Strachan, Rodney, 2012. "Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods," MPRA Paper 39360, University Library of Munich, Germany.
- Angela Vossmeyer, 2019. "Analysis of Stigma and Bank Credit Provision," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 163-194, February.
- Ivan Jeliazkov & Angela Vossmeyer, 2018. "The impact of estimation uncertainty on covariate effects in nonlinear models," Statistical Papers, Springer, vol. 59(3), pages 1031-1042, September.
- Asai, Manabu, 2009. "Bayesian analysis of stochastic volatility models with mixture-of-normal distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2579-2596.
- Jouchi Nakajima, 2008. "EGARCH and Stochastic Volatility: Modeling Jumps and Heavy-tails for Stock Returns," IMES Discussion Paper Series 08-E-23, Institute for Monetary and Economic Studies, Bank of Japan.
- Rufo, M.J. & Martín, J. & Pérez, C.J., 2010. "New approaches to compute Bayes factor in finite mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3324-3335, December.
- Michael L. Polemis & Mike G. Tsionas, 2023. "The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1602-1621, April.
- Arnab Kumar Maity & Sanjib Basu & Santu Ghosh, 2021. "Bayesian criterion‐based variable selection," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 835-857, August.
- Choudhary, Vidyanand & Currim, Imran & Dewan, Sanjeev & Jeliazkov, Ivan & Mintz, Ofer & Turner, John, 2017. "Evaluation Set Size and Purchase: Evidence from a Product Search Engine," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 16-31.
- Frederico M. Almeida & Vinícius D. Mayrink & Enrico A. Colosimo, 2023. "Bayesian solution to the monotone likelihood in the standard mixture cure model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(3), pages 365-390, August.
- Ehlers, Ricardo S., 2012. "Computational tools for comparing asymmetric GARCH models via Bayes factors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 858-867.
- Michael J. Daniels & Arkendu S. Chatterjee & Chenguang Wang, 2012. "Bayesian Model Selection for Incomplete Data Using the Posterior Predictive Distribution," Biometrics, The International Biometric Society, vol. 68(4), pages 1055-1063, December.
- Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018.
"A discrete/continuous choice model on a nonconvex budget set,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
- Garfinkel, Michelle R. & Jeliazkov, Ivan, 2004.
"Comment on "The macroeconomic consequences of terrorism","
Journal of Monetary Economics, Elsevier, vol. 51(5), pages 1033-1037, July.
Cited by:
- Stergios Skaperdas, 2011.
"The costs of organized violence: a review of the evidence,"
Economics of Governance, Springer, vol. 12(1), pages 1-23, March.
- Stergios Skaperdas, 2009. "The Costs of Organized Violence: A Review of the Evidence," CESifo Working Paper Series 2704, CESifo.
- Stergios Skaperdas, 2009. "The Costs of Organized Violence: A Review of the Evidence," Working Papers 080924, University of California-Irvine, Department of Economics.
- Stergios Skaperdas, 2011.
"The costs of organized violence: a review of the evidence,"
Economics of Governance, Springer, vol. 12(1), pages 1-23, March.
- Bianco, William T. & Jeliazkov, Ivan & Sened, Itai, 2004.
"The Uncovered Set and the Limits of Legislative Action,"
Political Analysis, Cambridge University Press, vol. 12(3), pages 256-276, July.
Cited by:
- Tasos Kalandrakis, 2022. "Generalized medians and a political center," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(2), pages 301-319, February.
- Michel Le Breton & Karine Van Der Straeten, 2017.
"Alliances Électorales et Gouvernementales : La Contribution de la Théorie des Jeux Coopératifs à la Science Politique,"
Revue d'économie politique, Dalloz, vol. 127(4), pages 637-736.
- Le Breton, Michel & Van Der Straeten, Karine, 2017. "Alliances Electorales et Gouvernementales : La Contribution de la Théorie des Jeux Coopératifs à la Science Politique," TSE Working Papers 17-789, Toulouse School of Economics (TSE), revised Jun 2017.
- Anthony J. McGann & Sebastian Dellepiane‐Avellaneda & John Bartle, 2023. "Dynamics of public opinion and policy response under proportional and plurality elections," Economics and Politics, Wiley Blackwell, vol. 35(1), pages 333-355, March.
- Elizabeth Penn, 2006. "Alternate Definitions of the Uncovered Set and Their Implications," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 27(1), pages 83-87, August.
- Gyung-Ho Jeong, 2017. "The supermajority core of the US Senate and the failure to join the League of Nations," Public Choice, Springer, vol. 173(3), pages 325-343, December.
- Tovey, Craig A., 2010. "A finite exact algorithm for epsilon-core membership in two dimensions," Mathematical Social Sciences, Elsevier, vol. 60(3), pages 178-180, November.
- John Duggan, 2011. "Uncovered Sets," Wallis Working Papers WP63, University of Rochester - Wallis Institute of Political Economy.
- John Duggan, 2013. "Uncovered sets," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(3), pages 489-535, September.
- Nicholas R. Miller, 2015. "The spatial model of social choice and voting," Chapters, in: Jac C. Heckelman & Nicholas R. Miller (ed.), Handbook of Social Choice and Voting, chapter 10, pages 163-181, Edward Elgar Publishing.
- Chib S. & Jeliazkov I., 2001.
"Marginal Likelihood From the Metropolis-Hastings Output,"
Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 270-281, March.
Cited by:
- Zhang, Guoxiong, 2012. "Bayesian estimation of exchange rate regime choice with spatial effect," Economics Letters, Elsevier, vol. 117(3), pages 604-607.
- Richard Kleijn & Herman K. van Dijk, 2006.
"Bayes model averaging of cyclical decompositions in economic time series,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 191-212, March.
- Richard Kleijn & Herman K. van Dijk, 2006. "Bayes model averaging of cyclical decompositions in economic time series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 191-212.
- Kleijn, R.H. & van Dijk, H.K., 2003. "Bayes model averaging of cyclical decompositions in economic time series," Econometric Institute Research Papers EI 2003-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018.
"A discrete/continuous choice model on a nonconvex budget set,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
- Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2013. "A Discrete/Continuous Choice Model on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-881, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori & Akira Hibiki, 2014. "A Discrete/Continuous Choice Model on a Nonconvex Budget Set," CIRJE F-Series CIRJE-F-942, CIRJE, Faculty of Economics, University of Tokyo.
- Antonio Pacifico, 2018.
"Panel Bayesian VAR Modeling for Policy and Forecasting when dealing with confounding and latent effects,"
EERI Research Paper Series
EERI RP 2018/15, Economics and Econometrics Research Institute (EERI), Brussels.
- Antonio Pacifico, 2019. "Panel Bayesian VAR Modeling for Policy and Forecasting when dealing with confounding and latent effects," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(1), pages 1-1.
- Arnaud Dufays, 2014. "On the conjugacy of off-line and on-line Sequential Monte Carlo Samplers," Working Paper Research 263, National Bank of Belgium.
- Akihisa Shibata & Mototsugu Shintani & Takayuki Tsuruga, 2018.
"Current account dynamics under information rigidity and imperfect capital mobility,"
CAMA Working Papers
2018-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Akihisa Shibata & Mototsugu Shintani & Takayuki Tsuruga, 2018. "Current Account Dynamics under Information Rigidity and Imperfect Capital Mobility," Globalization Institute Working Papers 335, Federal Reserve Bank of Dallas.
- Akihisa Shibata & Mototsugu Shintani & Takayuki Tsuruga, 2018. "Current Account Dynamics under Information Rigidity and Imperfect Capital Mobility," ISER Discussion Paper 1036, Institute of Social and Economic Research, Osaka University.
- Shibata, Akihisa & Shintani, Mototsugu & Tsuruga, Takayuki, 2019. "Current account dynamics under information rigidity and imperfect capital mobility," Journal of International Money and Finance, Elsevier, vol. 92(C), pages 153-176.
- Akihisa SHIBATA & Mototsugu SHINTANI & Takayuki TSURUGA, 2018. "Current Account Dynamics under Information Rigidity and Imperfect Capital Mobility," ESRI Discussion paper series 344, Economic and Social Research Institute (ESRI).
- Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
- Yong Li & Jun Yu, 2011.
"Bayesian Hypothesis Testing in Latent Variable Models,"
Working Papers
11-2011, Singapore Management University, School of Economics.
- Li, Yong & Yu, Jun, 2012. "Bayesian hypothesis testing in latent variable models," Journal of Econometrics, Elsevier, vol. 166(2), pages 237-246.
- Siddhartha Chib & Minchul Shin & Anna Simoni, 2021.
"Bayesian Estimation and Comparison of Conditional Moment Models,"
Papers
2110.13531, arXiv.org.
- Siddhartha Chib & Minchul Shin & Anna Simoni, 2022. "Bayesian estimation and comparison of conditional moment models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 740-764, July.
- Siddhartha Chib & Minchul Shin & Anna Simoni, 2022. "Bayesian Estimation and Comparison of Conditional Moment Models," Post-Print hal-03504122, HAL.
- Siddhartha Chib & Minchul Shin & Anna Simoni, 2019. "Bayesian Estimation and Comparison of Conditional Moment Models," Working Papers 19-51, Federal Reserve Bank of Philadelphia.
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"Using simulation‐based inference with panel data in health economics,"
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"Bayesian optimization of hyperparameters from noisy marginal likelihood estimates,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 577-595, June.
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- Ioannis Skevas, 2024. "A note on functional form specification in random coefficients stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 61(1), pages 43-46, February.
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