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Chris Muris

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Chris Muris, 2017. "Estimation in the Fixed-Effects Ordered Logit Model," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 465-477, July.

    Mentioned in:

    1. Estimation in the fixed effects ordered logit model (REStat 2017) in ReplicationWiki ()

Working papers

  1. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.

    Cited by:

    1. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.

  2. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

    Cited by:

    1. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.

  3. Bo E. Honor'e & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Papers 2107.03253, arXiv.org, revised Apr 2024.

    Cited by:

    1. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    2. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2022. "Testing for state dependence in the fixed-effects ordered logit model," MPRA Paper 113890, University Library of Munich, Germany.
    3. Bo E. Honore & Luojia Hu & Ekaterini Kyriazidou & Martin Weidner, 2022. "Simultaneity in Binary Outcome Models with an Application to Employment for Couples," Working Paper Series WP 2022-34, Federal Reserve Bank of Chicago.
    4. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2024. "Robust analysis of short panels," CeMMAP working papers 01/24, Institute for Fiscal Studies.
    5. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
    6. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    7. Hansen, Jörgen & Davalloo, Golnaz, 2023. "Persistent Marijuana Use: Evidence from the NLSY," IZA Discussion Papers 16446, Institute of Labor Economics (IZA).
    8. Geert Dhaene & Martin Weidner, 2023. "Approximate Functional Differencing," Papers 2301.13736, arXiv.org, revised May 2023.

  4. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A dynamic ordered logit model with fixed effects," Papers 2008.05517, arXiv.org.

    Cited by:

    1. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    2. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2022. "Testing for state dependence in the fixed-effects ordered logit model," MPRA Paper 113890, University Library of Munich, Germany.
    3. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..

  5. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Olivier Bargain & Guy Lacroix & Luca Tiberti, 2021. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions against Direct Evidence on Sharing," Working Papers hal-03432676, HAL.
    2. Calvi, Rossella & Penglase, Jacob & Tommasi, Denni & Wolf, Alexander, 2023. "The more the poorer? Resource sharing and scale economies in large families," Journal of Development Economics, Elsevier, vol. 160(C).
    3. Calvi, Rossella & Keskar, Ajinkya, 2021. "Dowries, resource allocation, and poverty," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 268-303.
    4. Olivier Bargain, 2022. "Income Sources, Intra-Household Allocation And Individual Poverty," Commitment to Equity (CEQ) Working Paper Series 121, Tulane University, Department of Economics.

  6. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.

    Cited by:

    1. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    2. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    3. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  7. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers 31/17, Institute for Fiscal Studies.

    Cited by:

    1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    2. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    3. Aristodemou, Eleni, 2021. "Semiparametric identification in panel data discrete response models," Journal of Econometrics, Elsevier, vol. 220(2), pages 253-271.
    4. Georgios Marios Chrysanthou & Chrysovalantis Vasilakis, 2018. "The Dynamics and Determinants of Bullying Victimisation," LIDAM Discussion Papers IRES 2018012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Eleni (E.) Aristodemou, 2018. "Semiparametric Identification in Panel Data Discrete Response Models," Tinbergen Institute Discussion Papers 18-065/III, Tinbergen Institute.
    6. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    7. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
    8. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    9. Bo E. Honoré & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," CeMMAP working papers CWP38/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  8. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 46/15, Institute for Fiscal Studies.

    Cited by:

    1. Jeffrey S. Racine & Qi Li & Li Zheng, 2018. "Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions," Department of Economics Working Papers 2018-10, McMaster University.
    2. Jiang Du & Zhongzhan Zhang & Tianfa Xie, 2017. "Focused information criterion and model averaging in censored quantile regression," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(5), pages 547-570, July.
    3. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Shou-Yung Yin & Chu-An Liu & Chang-Ching Lin, 2016. "Focused Information Criterion and Model Averaging for Large Panels with a Multifactor Error Structure," IEAS Working Paper : academic research 16-A016, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    5. Riccardo Lucchetti & Luca Pedini & Claudia Pigini, 2021. "Bayesian Model Averaging For Propensity Score Matching In Tax Rebate," Working Papers 457, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2017. "Uncertain identification," CeMMAP working papers 18/17, Institute for Fiscal Studies.
    7. Jiaming Mao & Jingzhi Xu, 2020. "Ensemble Learning with Statistical and Structural Models," Papers 2006.05308, arXiv.org.
    8. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    9. Fang, Fang & Li, Jialiang & Xia, Xiaochao, 2022. "Semiparametric model averaging prediction for dichotomous response," Journal of Econometrics, Elsevier, vol. 229(2), pages 219-245.
    10. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
    11. Fang, Fang & Yu, Zhou, 2020. "Model averaging assisted sufficient dimension reduction," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    12. Lucchetti, Riccardo & Pedini, Luca & Pigini, Claudia, 2022. "No such thing as the perfect match: Bayesian Model Averaging for treatment evaluation," Economic Modelling, Elsevier, vol. 107(C).
    13. Zulj, Valentin & Jin, Shaobo, 2024. "Can model averaging improve propensity score based estimation of average treatment effects?," Working Paper Series 2024:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.

  9. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2014. "Expected Utility and Catastrophic Risk," Tinbergen Institute Discussion Papers 14-133/III, Tinbergen Institute.

    Cited by:

    1. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Scrap Value Functions in Dynamic Decision Problems," Other publications TiSEM 94a6f785-0395-4b35-9c57-7, Tilburg University, School of Economics and Management.
    2. Chichilnisky, Graciela & Chanel, Olivier, 2011. "Valuing Life: Experimental Evidence Using Sensitivity to Rare Events," MPRA Paper 86116, University Library of Munich, Germany, revised Oct 2011.
    3. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    4. Comerford, David, 2013. "A balance of questions: what can we ask of climate change economics?," SIRE Discussion Papers 2013-12, Scottish Institute for Research in Economics (SIRE).

  10. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 61/13, Institute for Fiscal Studies.

    Cited by:

    1. Liu, Chu-An & Kuo, Biing-Shen, 2014. "Model Averaging in Predictive Regressions," MPRA Paper 54198, University Library of Munich, Germany.

  11. Magnus, J.R. & Melenberg, B. & Muris, C.H.M., 2011. "Global Warming and Local Dimming : The Statistical Evidence," Discussion Paper 2011-004, Tilburg University, Center for Economic Research.

    Cited by:

    1. Zanin, Luca & Marra, Giampiero, 2012. "Assessing the functional relationship between CO2 emissions and economic development using an additive mixed model approach," Economic Modelling, Elsevier, vol. 29(4), pages 1328-1337.
    2. Ar'anzazu de Juan & Pilar Poncela & Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2022. "Economic activity and climate change," Papers 2206.03187, arXiv.org, revised Jun 2022.
    3. Peter C.B. Phillips, 2017. "Econometric Measurement of Earth's Transient Climate Sensitivity," Cowles Foundation Discussion Papers 2094, Cowles Foundation for Research in Economics, Yale University.
    4. Carolina Euán & Ying Sun & Brian J. Reich, 2022. "Statistical analysis of multi‐day solar irradiance using a threshold time series model," Environmetrics, John Wiley & Sons, Ltd., vol. 33(3), May.
    5. Masako Ikefuji & Jan R. Magnus & Hiroaki Sakamoto, 2010. "Climate change, economic growth, and health," ISER Discussion Paper 0785, Institute of Social and Economic Research, Osaka University.
    6. Pretis, Felix, 2020. "Econometric modelling of climate systems: The equivalence of energy balance models and cointegrated vector autoregressions," Journal of Econometrics, Elsevier, vol. 214(1), pages 256-273.
    7. Li Chen & Jiti Gao & Farshid Vahid, 2019. "Global Temperatures and Greenhouse Gases: A Common Features Approach," Monash Econometrics and Business Statistics Working Papers 23/19, Monash University, Department of Econometrics and Business Statistics.
    8. Alok Bhargava, 2022. "Econometric modelling of carbon dioxide emissions and concentrations, ambient temperatures and ocean deoxygenation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 178-201, January.
    9. Robert K. Kaufmann & Felix Pretis, 2023. "An empirical estimate for the snow albedo feedback effect," Climatic Change, Springer, vol. 176(8), pages 1-20, August.
    10. Yoosoon Chang & Robert K. Kaufmann & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2016. "Evaluating trends in time series of distributions: A spatial fingerprint of human effects on climate," Working Papers 1622, Department of Economics, University of Missouri, revised 17 Sep 2018.
    11. Peter C. B. Phillips, 2020. "Dynamic Panel Modeling of Climate Change," Econometrics, MDPI, vol. 8(3), pages 1-28, July.
    12. Qiying Wang & Peter C. B. Phillips & Ying Wang, 2023. "New asymptotics applied to functional coefficient regression and climate sensitivity analysis," Cowles Foundation Discussion Papers 2365, Cowles Foundation for Research in Economics, Yale University.
    13. Phillips, Peter C.B. & Leirvik, Thomas & Storelvmo, Trude, 2020. "Econometric estimates of Earth’s transient climate sensitivity," Journal of Econometrics, Elsevier, vol. 214(1), pages 6-32.
    14. Pretis, Felix, 2021. "Exogeneity in climate econometrics," Energy Economics, Elsevier, vol. 96(C).

  12. Nicole Grunewald & Stephan Klasen & Inmaculada Martínez-Zarzoso & Chris Muris, 2011. "Income inequality and carbon emissions," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 92, Courant Research Centre PEG.

    Cited by:

    1. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Inequality and Renewable Energy Consumption in Sub-Saharan Africa: Implication for High Income Countries," Research Africa Network Working Papers 20/094, Research Africa Network (RAN).
    2. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The Green Economy and Inequality in Sub-Saharan Africa: Avoidable Thresholds and Thresholds for Complementary Policies," Working Papers 20/097, European Xtramile Centre of African Studies (EXCAS).
    3. Yongming Wang & Irfan Uddin & Yingmei Gong, 2021. "Nexus between Natural Resources and Environmental Degradation: Analysing the Role of Income Inequality and Renewable Energy," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    4. Lesly Cassin & Paolo Melindi-Ghidi & Fabien Prieur, 2021. "The impact of income inequality on public environmental expenditure with green consumerism," Working Papers 2021.08, FAERE - French Association of Environmental and Resource Economists.
    5. Dorn, Franziska & Maxand, Simone & Kneib, Thomas, 2021. "The dependence between income inequality and carbon emissions: A distributional copula analysis," University of Göttingen Working Papers in Economics 413, University of Goettingen, Department of Economics.
    6. Syed Tauseef Hassan & Enjun Xia & Chien-Chiang Lee, 2021. "Mitigation pathways impact of climate change and improving sustainable development: The roles of natural resources, income, and CO2 emission," Energy & Environment, , vol. 32(2), pages 338-363, March.
    7. Marta Gómez-Puig & Simón Sosvilla-Rivero & Inmaculada Martínez-Zarzoso, 2019. "Re-examining the debt-growth nexus: A grouped fixed-effect approach," Documentos de Trabajo del ICAE 2019-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Goodness C. Aye, 2020. "Wealth inequality and CO2 emissions in emerging economies: The case of BRICS," WIDER Working Paper Series wp-2020-161, World Institute for Development Economic Research (UNU-WIDER).
    9. Dmitry Burakov & Alexander Bass, 2019. "Institutional determinants of environmental pollution in Russia: a non-linear ARDL approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 510-524, September.

  13. Masako Ikefuji & Roger J. A. Laeven & Jan R. Magnus & Chris Muris, 2011. "Weitzman meets Nordhaus: Expected utility and catastrophic risk in a stochastic economy-climate model," ISER Discussion Paper 0825, Institute of Social and Economic Research, Osaka University.

    Cited by:

    1. De Bruin, Kelly & Kiran Krishnamurthy, Chandra, 2021. "Optimal Climate Policy with Fat-tailed Uncertainty: What the Models Can Tell Us," Papers WP697, Economic and Social Research Institute (ESRI).
    2. Comerford, David, 2013. "A balance of questions: what can we ask of climate change economics?," SIRE Discussion Papers 2013-12, Scottish Institute for Research in Economics (SIRE).
    3. Kame Babilla, Thierry, 2014. "Food Price Volatility implications for Trade and Monetary Policy between Nigeria and CEMAC: a Bayesian DSGE model approach," Conference papers 332525, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2013. "Pareto utility," Theory and Decision, Springer, vol. 75(1), pages 43-57, July.

  14. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Expected Utility and Catastrophic Risk in a Stochastic Economy-Climate Model," Discussion Paper 2010-122, Tilburg University, Center for Economic Research.

    Cited by:

    1. Stanca, Lorenzo, 2023. "Robust Bayesian choice," Mathematical Social Sciences, Elsevier, vol. 126(C), pages 94-106.
    2. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    3. Ar'anzazu de Juan & Pilar Poncela & Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2022. "Economic activity and climate change," Papers 2206.03187, arXiv.org, revised Jun 2022.
    4. Chichilnisky, Graciela & Chanel, Olivier, 2011. "Valuing Life: Experimental Evidence Using Sensitivity to Rare Events," MPRA Paper 86116, University Library of Munich, Germany, revised Oct 2011.
    5. De Bruin, Kelly & Kiran Krishnamurthy, Chandra, 2021. "Optimal Climate Policy with Fat-tailed Uncertainty: What the Models Can Tell Us," Papers WP697, Economic and Social Research Institute (ESRI).
    6. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Burr Utility," Other publications TiSEM fddee215-edea-4800-ba72-d, Tilburg University, School of Economics and Management.
      • Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Burr Utility," Discussion Paper 2010-81, Tilburg University, Center for Economic Research.
    7. Lucas Bretschger & Alexandra Vinogradova, 2014. "Growth and Mitigation Policies with Uncertain Climate Damage," CESifo Working Paper Series 5085, CESifo.
    8. Bretschger, Lucas & Suphaphiphat, Nujin, 2014. "Effective climate policies in a dynamic North–South model," European Economic Review, Elsevier, vol. 69(C), pages 59-77.
    9. Christian Fries & Lennart Quante, 2023. "Intergenerational Equity in Models of Climate Change Mitigation: Stochastic Interest Rates introduce Adverse Effects, but (Non-linear) Funding Costs can Improve Intergenerational Equity," Papers 2309.16186, arXiv.org, revised Sep 2023.
    10. Stanca Lorenzo, 2023. "Robust Bayesian Choice," Working papers 079, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    11. Lorenzo Stanca, 2023. "Robust Bayesian Choice," Carlo Alberto Notebooks 690 JEL Classification: C, Collegio Carlo Alberto.
    12. Thijs Dekker & Rob Dellink & Janina Ketterer, 2013. "The Fatter the Tail, the Fatter the Climate Agreement - Simulating the Influence of Fat Tails in Climate Change Damages on the Success of International Climate Negotiations," CESifo Working Paper Series 4059, CESifo.
    13. Comerford, David, 2013. "A balance of questions: what can we ask of climate change economics?," SIRE Discussion Papers 2013-12, Scottish Institute for Research in Economics (SIRE).
    14. Christian P. Fries & Lennart Quante, 2023. "Accounting for Financing Risks improves Intergenerational Equity of Climate Change Mitigation," Papers 2312.07614, arXiv.org.
    15. Grechuk, Bogdan & Zabarankin, Michael, 2014. "Risk averse decision making under catastrophic risk," European Journal of Operational Research, Elsevier, vol. 239(1), pages 166-176.
    16. Buchholz, Wolfgang & Schymura, Michael, 2012. "Expected utility theory and the tyranny of catastrophic risks," Ecological Economics, Elsevier, vol. 77(C), pages 234-239.
    17. Hwang, In Chang & Tol, Richard S.J. & Hofkes, Marjan W., 2016. "Fat-tailed risk about climate change and climate policy," Energy Policy, Elsevier, vol. 89(C), pages 25-35.
    18. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Tail-effect and the Role of Greenhouse Gas Emissions Control," Working Paper Series 6613, Department of Economics, University of Sussex Business School.
    19. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2013. "Pareto utility," Theory and Decision, Springer, vol. 75(1), pages 43-57, July.
    20. Rob Dellink & Thijs Dekker & Janina Ketterer, 2013. "The Fatter the Tail, the Fatter the Climate Agreement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(2), pages 277-305, October.

  15. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Burr Utility," Discussion Paper 2010-81, Tilburg University, Center for Economic Research.
    • Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Burr Utility," Other publications TiSEM fddee215-edea-4800-ba72-d, Tilburg University, School of Economics and Management.

    Cited by:

    1. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Scrap Value Functions in Dynamic Decision Problems," Other publications TiSEM 94a6f785-0395-4b35-9c57-7, Tilburg University, School of Economics and Management.
    2. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Expected Utility and Catastrophic Risk in a Stochastic Economy-Climate Model," Other publications TiSEM 52cbee73-e1dc-4ed3-8ec9-6, Tilburg University, School of Economics and Management.

  16. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Scrap Value Functions in Dynamic Decision Problems," Discussion Paper 2010-77, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Expected Utility and Catastrophic Risk in a Stochastic Economy-Climate Model," Other publications TiSEM 52cbee73-e1dc-4ed3-8ec9-6, Tilburg University, School of Economics and Management.

Articles

  1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    See citations under working paper version above.
  2. Jason Abrevaya & Chris Muris, 2020. "Interval censored regression with fixed effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 198-216, March.

    Cited by:

    1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    2. Felix Chan & Laszlo Matyas & Agoston Reguly, 2024. "Modelling with Discretized Variables," Papers 2403.15220, arXiv.org.
    3. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
    4. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    5. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  3. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2020. "Expected utility and catastrophic risk in a stochastic economy–climate model," Journal of Econometrics, Elsevier, vol. 214(1), pages 110-129.
    See citations under working paper version above.
  4. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.

    Cited by:

    1. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    2. Abrevaya, Jason, 2019. "Missing dependent variables in fixed-effects models," Journal of Econometrics, Elsevier, vol. 211(1), pages 151-165.
    3. Yimin Yang & Fei Jia & Haoran Li, 2023. "Estimation of Panel Data Models with Mixed Sampling Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 514-544, June.
    4. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).

  5. Grunewald, Nicole & Klasen, Stephan & Martínez-Zarzoso, Inmaculada & Muris, Chris, 2017. "The Trade-off Between Income Inequality and Carbon Dioxide Emissions," Ecological Economics, Elsevier, vol. 142(C), pages 249-256.

    Cited by:

    1. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Inequality and Renewable Energy Consumption in Sub-Saharan Africa: Implication for High Income Countries," Research Africa Network Working Papers 20/094, Research Africa Network (RAN).
    2. Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020. "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, vol. 88(C).
    3. Donatella Gatti, 2022. "Going Green and un(Equal)? Political coalitions, redistribution and the environment," Post-Print hal-04019602, HAL.
    4. Jiao, Zhilun & Sharma, Rajesh & Kautish, Pradeep & Hussain, Hafezali Iqbal, 2021. "Unveiling the asymmetric impact of exports, oil prices, technological innovations, and income inequality on carbon emissions in India," Resources Policy, Elsevier, vol. 74(C).
    5. Nyakundi M. Michieka & John Deal & Kyle Lahman, 2022. "Air pollution and income inequality: a spatial econometric approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 1-31, August.
    6. Li, Baoxi & Cheng, Shixiong & Xiao, De, 2020. "The impacts of environmental pollution and brain drain on income inequality," China Economic Review, Elsevier, vol. 62(C).
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    9. Yongming Wang & Irfan Uddin & Yingmei Gong, 2021. "Nexus between Natural Resources and Environmental Degradation: Analysing the Role of Income Inequality and Renewable Energy," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    10. Lesly Cassin & Paolo Melindi-Ghidi & Fabien Prieur, 2021. "The impact of income inequality on public environmental expenditure with green consumerism," Working Papers 2021.08, FAERE - French Association of Environmental and Resource Economists.
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    13. Dorn, Franziska & Maxand, Simone & Kneib, Thomas, 2021. "The dependence between income inequality and carbon emissions: A distributional copula analysis," University of Göttingen Working Papers in Economics 413, University of Goettingen, Department of Economics.
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    15. Lee, Chien-Chiang & Wang, Fuhao & Lou, Runchi & Wang, Keying, 2023. "How does green finance drive the decarbonization of the economy? Empirical evidence from China," Renewable Energy, Elsevier, vol. 204(C), pages 671-684.
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    19. Marta Gómez-Puig & Simón Sosvilla-Rivero & Inmaculada Martínez-Zarzoso, 2019. "Re-examining the debt-growth nexus: A grouped fixed-effect approach," Documentos de Trabajo del ICAE 2019-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    20. Kopp, Thomas & Nabernegg, Markus & Lange, Steffen, 2023. "The net climate effect of digitalization, differentiating between firms and households," Energy Economics, Elsevier, vol. 126(C).
    21. Shi Wang & Wen Zhang & Hua Wang & Jue Wang & Mu-Jun Jiang, 2021. "How Does Income Inequality Influence Environmental Regulation in the Context of Corruption? A Panel Threshold Analysis Based on Chinese Provincial Data," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    22. Datu Buyung Agusdinata & Rimjhim Aggarwal & Xiaosu Ding, 2021. "Economic growth, inequality, and environment nexus: using data mining techniques to unravel archetypes of development trajectories," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6234-6258, April.
    23. Yuan Kong & Chao Feng & Liyang Guo, 2022. "Peaking Global and G20 Countries’ CO 2 Emissions under the Shared Socio-Economic Pathways," IJERPH, MDPI, vol. 19(17), pages 1-19, September.
    24. Andersson, Fredrik N.G., 2023. "Income inequality and carbon emissions in the United States 1929–2019," Ecological Economics, Elsevier, vol. 204(PA).
    25. Chao Zhang & Ruifa Hu, 2020. "Does Fertilizer Use Intensity Respond to the Urban-Rural Income Gap? Evidence from a Dynamic Panel-Data Analysis in China," Sustainability, MDPI, vol. 12(1), pages 1-15, January.
    26. Baoxi Li & De Xiao, 2021. "The Impact of Income Inequality on Subjective Environmental Pollution: Individual Evidence from China," IJERPH, MDPI, vol. 18(15), pages 1-26, July.
    27. Wang, En-Ze & Yang, Mian, 2022. "Green complexity and CO2 emission: Does institutional quality matter?," Energy Economics, Elsevier, vol. 110(C).
    28. Adua, Lazarus, 2022. "Super polluters and carbon emissions: Spotlighting how higher-income and wealthier households disproportionately despoil our atmospheric commons," Energy Policy, Elsevier, vol. 162(C).
    29. Bianca PĂUNA & Corina SÂMAN, 2023. "Inequality and the Environment: The Synergy or the Trade-off Effect," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 159-175, December.
    30. Geng, Yaxin & Rao, Pinyang & Sharif, Arshian, 2022. "Natural resource management and ecological sustainability: Dynamic role of social disparity and human development in G10 Economies," Resources Policy, Elsevier, vol. 79(C).
    31. Dmitry Burakov & Alexander Bass, 2019. "Institutional determinants of environmental pollution in Russia: a non-linear ARDL approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 510-524, September.
    32. Gómez-Puig, Marta & Sosvilla-Rivero, Simón & Martínez-Zarzoso, Inmaculada, 2022. "On the heterogeneous link between public debt and economic growth," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    33. Zhang, C. & Sun, Y. & Hu, R., 2018. "Does urban-rural income inequality increase agricultural fertilizer or pesticide use? A provincial panel data analysis in China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277033, International Association of Agricultural Economists.
    34. Dorn, Franziska & Maxand, Simone & Kneib, Thomas, 2024. "The nonlinear dependence of income inequality and carbon emissions: Potentials for a sustainable future," Ecological Economics, Elsevier, vol. 216(C).
    35. Yang, Junhua & Li, Ying & Sui, Anna, 2023. "From black gold to green: Analyzing the consequences of oil price volatility on oil industry finances and carbon footprint," Resources Policy, Elsevier, vol. 83(C).
    36. Hou, Aoyu & Liu, Ao & Chai, Li, 2024. "Does reducing income inequality promote the decoupling of economic growth from carbon footprint?," World Development, Elsevier, vol. 173(C).
    37. Grolleau, Gilles & Weber, Christoph, 2024. "The effect of inflation on CO2 emissions: An analysis over the period 1970–2020," Ecological Economics, Elsevier, vol. 217(C).
    38. Nicholas Marinucci & Kris Ivanovski, 2023. "Does Inequality Affect Climate Change? A Regional and Sectoral Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 705-729, April.
    39. Langnel, Zechariah & Amegavi, George Babington & Donkor, Prince & Mensah, James Kwame, 2021. "Income inequality, human capital, natural resource abundance, and ecological footprint in ECOWAS member countries," Resources Policy, Elsevier, vol. 74(C).
    40. Muhammad Awais Baloch & Danish, 2022. "The nexus between renewable energy, income inequality, and consumption‐based CO2 emissions: An empirical investigation," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1268-1277, October.
    41. Stephan Klasen, 2018. "Inequality and Greenhouse Gas Emissions," Journal of Income Distribution, Ad libros publications inc., vol. 26(3), pages 1-14, October.
    42. Ibrahim Mohamed Ali Ali, 2023. "Income Inequality and Environmental Degradation in Middle-Income Countries: A Test of Two Competing Hypotheses," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(2), pages 299-321, April.
    43. Lee, Chien-Chiang & Xing, Wenwu & Lee, Chi-Chuan, 2022. "The impact of energy security on income inequality: The key role of economic development," Energy, Elsevier, vol. 248(C).
    44. Wan, Guanghua & Wang, Chen & Wang, Jinxian & Zhang, Xun, 2022. "The income inequality-CO2 emissions nexus: Transmission mechanisms," Ecological Economics, Elsevier, vol. 195(C).
    45. Duarte, Rosa & Miranda-Buetas, Sara & Sarasa, Cristina, 2021. "Household consumption patterns and income inequality in EU countries: Scenario analysis for a fair transition towards low-carbon economies," Energy Economics, Elsevier, vol. 104(C).
    46. Sophia Kan & Simon Lange, 2021. "An appreciation of Professor Stephan Klasen and his contribution to development economics," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 104-115, February.
    47. Kopp, Thomas & Dorn, Franziska, 2018. "Social equity and ecological sustainability: Can the two be achieved together?," University of Göttingen Working Papers in Economics 357, University of Goettingen, Department of Economics.
    48. Germà Bel & Jordi J. Teixidó, 2019. "“The Political Economy of the Paris Agreement. Income Inequality and Climate Policy”," IREA Working Papers 201915, University of Barcelona, Research Institute of Applied Economics, revised Sep 2019.
    49. Salih Ozturk & Murat Cetin & Harun Demir, 2022. "Income inequality and CO2 emissions: nonlinear evidence from Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11911-11928, October.
    50. Ahmad, Fayyaz & Draz, Muhammad Umar & Chandio, Abbas Ali & Ahmad, Munir & Su, Lijuan & Shahzad, Farrukh & Jia, Mingqi, 2022. "Natural resources and environmental quality: Exploring the regional variations among Chinese provinces with a novel approach," Resources Policy, Elsevier, vol. 77(C).
    51. Natalia Davidson & Oleg Mariev & Sophia Turkanova, 2021. "Does income inequality matter for CO2 emissions in Russian regions?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(3), pages 533-551, September.
    52. Zhang, Rui & Sharma, Rajesh & Tan, Zhixiong & Kautish, Pradeep, 2022. "Do export diversification and stock market development drive carbon intensity? The role of renewable energy solutions in top carbon emitter countries," Renewable Energy, Elsevier, vol. 185(C), pages 1318-1328.
    53. Rezgar FEIZI & Sahar AMIDI & Thais NUNEZ-ROCHA & Isabelle RABAUD, 2022. "Carbon Tax and Emissions Transfer: a Spatial Analysis," LEO Working Papers / DR LEO 2965, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    54. Yulin Liu & Min Zhang & Rujia Liu, 2020. "The Impact of Income Inequality on Carbon Emissions in China: A Household-Level Analysis," Sustainability, MDPI, vol. 12(7), pages 1-22, March.
    55. Topcu, Mert & Tugcu, Can Tansel, 2020. "The impact of renewable energy consumption on income inequality: Evidence from developed countries," Renewable Energy, Elsevier, vol. 151(C), pages 1134-1140.
    56. Angelo Antoci & Paolo Russu & Elisa Ticci, 2022. "Modeling maladaptation in the inequality–environment nexus," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 115-140, January.
    57. Abebe Hailemariam & Ratbek Dzhumashev & Muhammad Shahbaz, 2020. "Carbon emissions, income inequality and economic development," Empirical Economics, Springer, vol. 59(3), pages 1139-1159, September.
    58. Rajesh Sharma & Surendra Singh Rajpurohit, 2022. "Nexus between income inequality and consumption of renewable energy in India: a nonlinear examination," Economic Change and Restructuring, Springer, vol. 55(4), pages 2337-2358, November.
    59. Dou, Yue & Zhao, Jun & Dong, Xiucheng & Dong, Kangyin, 2021. "Quantifying the impacts of energy inequality on carbon emissions in China: A household-level analysis," Energy Economics, Elsevier, vol. 102(C).

  6. Chris Muris, 2017. "Estimation in the Fixed-Effects Ordered Logit Model," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 465-477, July.

    Cited by:

    1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    2. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2022. "Testing for state dependence in the fixed-effects ordered logit model," MPRA Paper 113890, University Library of Munich, Germany.
    3. Marisa Hidalgo-Hidalgo & Pedro Albarrán & Iñigo Iturbe-Ormaetxe, 2019. "Education and adult health: Is there a causal effect?," Working Papers 19.11, Universidad Pablo de Olavide, Department of Economics.
    4. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A Dynamic Ordered Logit Model with Fixed Effects," Department of Economics Working Papers 2020-14, McMaster University.
    5. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    6. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2019. "The Impact of Bullying Victimisation on Mental Wellbeing," QM&ET Working Papers 19-1, University of Alicante, D. Quantitative Methods and Economic Theory.
    7. Stöckel, Jannis & van Exel, Job & Brouwer, Werner B.F., 2023. "Adaptation in life satisfaction and self-assessed health to disability - Evidence from the UK," Social Science & Medicine, Elsevier, vol. 328(C).
    8. Aristodemou, Eleni, 2021. "Semiparametric identification in panel data discrete response models," Journal of Econometrics, Elsevier, vol. 220(2), pages 253-271.
    9. Georgios Marios Chrysanthou & Chrysovalantis Vasilakis, 2018. "The Dynamics and Determinants of Bullying Victimisation," LIDAM Discussion Papers IRES 2018012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    10. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Fredriksen, Kaja & Runst, Petrik & Bizer, Kilian, 2017. "Masterful Meisters? Voluntary Certification and Quality in the German Crafts Sector," ifh Working Papers 3 (2017), Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh), revised 2017.
    12. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
    13. Eleni (E.) Aristodemou, 2018. "Semiparametric Identification in Panel Data Discrete Response Models," Tinbergen Institute Discussion Papers 18-065/III, Tinbergen Institute.
    14. Janke, Katharina & Johnston, David W. & Propper, Carol & Shields, Michael A., 2018. "The Causal Effect of Education on Chronic Health Conditions," IZA Discussion Papers 11353, Institute of Labor Economics (IZA).
    15. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    16. Bo E. Honoré & Martin Weidner, 2021. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Working Papers 2021-79, Princeton University. Economics Department..
    17. Bo E. Honoré & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," CeMMAP working papers CWP38/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  7. Kitagawa, Toru & Muris, Chris, 2016. "Model averaging in semiparametric estimation of treatment effects," Journal of Econometrics, Elsevier, vol. 193(1), pages 271-289.
    See citations under working paper version above.
  8. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2015. "Expected utility and catastrophic consumption risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 306-312.

    Cited by:

    1. Alexis Louaas & Pierre Picard, 2019. "Optimal nuclear liability insurance," Working Papers hal-01996648, HAL.
    2. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Expected Utility and Catastrophic Risk in a Stochastic Economy-Climate Model," Other publications TiSEM 52cbee73-e1dc-4ed3-8ec9-6, Tilburg University, School of Economics and Management.
    3. Alexis Louaas & Pierre Picard, 2017. "Optimal insurance for catastrophic risk: theory and application to nuclear corporate liability," Working Papers hal-01527478, HAL.
    4. Andrea Rampa, 2020. "Climate change, catastrophes and Dismal Theorem: a critical review [Klimawandel, Katastrophen und das „Dismal Theorem“: eine kritische Überprüfung]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 40(2), pages 113-136, October.
    5. Clark, Beth & Stewart, Gavin B. & Panzone, Luca A. & Kyriazakis, Ilias & Frewer, Lynn J., 2017. "Citizens, consumers and farm animal welfare: A meta-analysis of willingness-to-pay studies," Food Policy, Elsevier, vol. 68(C), pages 112-127.
    6. Alexis Louaas & Pierre Picard, 2020. "Optimal insurance coverage of low-probability catastrophic risks," Working Papers hal-02875534, HAL.
    7. Grunewald, Nicole & Klasen, Stephan & Martínez-Zarzoso, Inmaculada & Muris, Chris, 2017. "The Trade-off Between Income Inequality and Carbon Dioxide Emissions," Ecological Economics, Elsevier, vol. 142(C), pages 249-256.
    8. Menna Hassan & Nourhan Sakr & Arthur Charpentier, 2022. "Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach," Papers 2207.01010, arXiv.org.
    9. Strulik, Holger, 2018. "I shouldn't eat this donut: Self-control, body weight, and health in a life cycle model," University of Göttingen Working Papers in Economics 360, University of Goettingen, Department of Economics.

  9. Andreas Backhaus & Inmaculada Martinez-Zarzoso & Chris Muris, 2015. "Do climate variations explain bilateral migration? A gravity model analysis," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-15, December.

    Cited by:

    1. Michel Beine & Christopher R. Parsons, 2016. "Climatic Factors as Determinants of International Migration: Redux," DEM Discussion Paper Series 16-11, Department of Economics at the University of Luxembourg.
    2. Zorzeta Bakaki & Roos Haer, 2023. "The impact of climate variability on children: The recruitment of boys and girls by rebel groups," Journal of Peace Research, Peace Research Institute Oslo, vol. 60(4), pages 634-648, July.
    3. Katrin Millock & Cees Withagen, 2021. "Climate and Migration," Post-Print hal-03513161, HAL.
    4. Cristina Cattaneo & Giovanni Peri, 2015. "The Migration Response to Increasing Temperatures," NBER Working Papers 21622, National Bureau of Economic Research, Inc.
    5. Amelia Aburn & Dennis Wesselbaum, 2017. "Gone with the Wind: International Migration," Working Papers 1708, University of Otago, Department of Economics, revised Apr 2017.
    6. Michel Beine & Lionel Jeusette, 2019. "A Meta-Analysis of the literature on Climate Change and Migration," DEM Discussion Paper Series 19-10, Department of Economics at the University of Luxembourg.
    7. Di Falco, Salvatore & Kis, Anna B. & Viarengo, Martina, 2022. "Cumulative Climate Shocks and Migratory Flows: Evidence from Sub-Saharan Africa," IZA Discussion Papers 15084, Institute of Labor Economics (IZA).
    8. Théo Benonnier & Katrin Millock & Vis Taraz, 2022. "Long-term migration trends and rising temperatures: the role of irrigation," Post-Print halshs-03672500, HAL.
    9. Michael Landesmann & Isilda Mara, 2021. "Migration from Africa, the Middle East and European Neighbouring Countries to the EU: An Augmented Gravity Modelling Approach," wiiw Working Papers 198, The Vienna Institute for International Economic Studies, wiiw.
    10. Anqi Xu, 2023. "Spatial Patterns and Determinants of Inter-county Migration in California: A Multilevel Gravity Model Approach," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(3), pages 1-33, June.
    11. Dennis Wesselbaum, 2023. "Climate migration in Asia," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-11, December.
    12. Burzyński, Michał & Docquier, Frédéric & Scheewel, Hendrik, 2021. "The geography of climate migration," Journal of Demographic Economics, Cambridge University Press, vol. 87(3), pages 345-381, September.
    13. Barbora Šedová & Lucia Čizmaziová & Athene Cook, 2021. "A meta-analysis of climate migration literature," CEPA Discussion Papers 29, Center for Economic Policy Analysis.
    14. Guy Abel & Michael Brottrager & Jesus Crespo Cuaresma & Raya Muttarak, 2018. "Climate, Conflict and Forced Migration," Department of Economics Working Papers wuwp272, Vienna University of Economics and Business, Department of Economics.
    15. Michael Berlemann & Thi Xuyen Tran, 2020. "Climate-Related Hazards and Internal Migration Empirical Evidence for Rural Vietnam," Economics of Disasters and Climate Change, Springer, vol. 4(2), pages 385-409, July.
    16. Michael Brottrager & Jesus Crespo Cuaresma & Dominic Kniveton & Saleem H. Ali, 2023. "Natural resources modulate the nexus between environmental shocks and human mobility," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    17. Salvatore Di Falco & Anna B. Kis & Martina Viarengo, 2022. "Cumulative Climate Shocks and Migratory Flows: Evidence from Sub-Saharan Africa," CESifo Working Paper Series 9582, CESifo.
    18. Hassan F. Gholipour & Mohammad Reza Farzanegan & Mostafa Javadian, 2020. "Air Pollution and Internal Migration: Evidence from Iranian Household Survey," CESifo Working Paper Series 8107, CESifo.
    19. Dimitri Defrance & Esther Delesalle & Flore Gubert, 2020. "Is migration drought-induced in Mali? An empirical analysis using panel data on Malian localities over the 1987-2009 period," Working Papers DT/2020/01, DIAL (Développement, Institutions et Mondialisation).
    20. Burzyńskia, Michał & Deuster, Christoph & Docquier, Frédéric & de Melo, Jaime, 2019. "Climate Change, Inequality, and Human Migration," IZA Discussion Papers 12623, Institute of Labor Economics (IZA).
    21. Koji Murayama & Jun Nagayasu, 2021. "Toward Coexistence of Immigrants and Local People in Japan: Implications from Spatial Assimilation Theory," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    22. Luong, Tuan Anh & Nguyen, Manh-Hung & Khuong Truong, N.T. & Le, Kien, 2022. "Rainfall variability and internal migration: the importance of agriculture linkage and gender inequality," TSE Working Papers 22-1373, Toulouse School of Economics (TSE).
    23. Richa Richa & Ilan Noy & Subir Sen, 2024. "Extreme Weather and Inter-State Migration in India," CESifo Working Paper Series 10919, CESifo.
    24. Reichert, Arndt & Martinez Flores, Fernanda & Milusheva, Sveta, 2021. "Climate Anomalies and International Migration: A Disaggregated Analysis for West Africa," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242470, Verein für Socialpolitik / German Economic Association.
    25. Michael P. Cameron, 2017. "Climate Change, Internal Migration and the Future Spatial Distribution of Population: A Case Study of New Zealand," Working Papers in Economics 17/03, University of Waikato.
    26. Simone Bertoli & Frédéric Docquier & Hillel Rapoport & Ilse Ruyssen, 2020. "Weather Shocks and Migration Intentions in Western Africa: Insights from a Multilevel Analysis," CESifo Working Paper Series 8064, CESifo.
    27. Lesly Cassin & Aurélie Méjean & Stéphane Zuber, 2023. "Go where the wind does not blow: Climate damages heterogeneity and future migrations," Working Papers 2023.02, FAERE - French Association of Environmental and Resource Economists.
    28. Chiara Falco & Franco Donzelli & Alessandro Olper, 2018. "Climate Change, Agriculture and Migration: A Survey," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    29. Théo Benonnier & Katrin Millock & Vis Taraz, 2019. "Climate change, migration, and irrigation," PSE Working Papers halshs-02107098, HAL.
    30. Jasmin Gröschl & Thomas Steinwachs, 2017. "Do Natural Hazards Cause International Migration?," CESifo Economic Studies, CESifo Group, vol. 63(4), pages 445-480.
    31. Robert M. Beyer & Jacob Schewe & Hermann Lotze-Campen, 2022. "Gravity models do not explain, and cannot predict, international migration dynamics," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    32. Wesselbaum Dennis, 2017. "Socioeconomic Driving Forces of International Migration," Journal of Globalization and Development, De Gruyter, vol. 8(2), pages 1-17, December.
    33. Marc Helbling & Daniel Auer & Daniel Meierrieks & Malcolm Mistry & Max Schaub, 2021. "Climate change literacy and migration potential: micro-level evidence from Africa," Climatic Change, Springer, vol. 169(1), pages 1-13, November.
    34. Wang, Jiaxin & Huang, Hongyan & Huang, Xiang & Sun, Di & Song, Zilong, 2024. "Returning from overseas: STEMs migration and corporate digitalization," International Review of Financial Analysis, Elsevier, vol. 91(C).
    35. Klöcker, J.A. & Daumann, F., 2023. "What drives migration to Germany? A panel data analysis," Research in Economics, Elsevier, vol. 77(2), pages 251-264.
    36. Florent MCISAAC & Daniel BASTIDAS, 2019. "Reaching Brazil's Nationally Determined Contributions: An Assessment of the Key Transitions in Final Demand and Employment," Working Paper 911644f9-625d-496f-8ecf-8, Agence française de développement.
    37. Cosimo Beverelli, 2020. "Migrant Integration Policies and Bilateral Migration," RSCAS Working Papers 2020/08, European University Institute.
    38. Zorzeta Bakaki, 2021. "Climate Variability and Transnational Migration: A Dyadic Analysis," Sustainability, MDPI, vol. 13(1), pages 1-13, January.
    39. Cosimo Beverelli, 2022. "Pull factors for migration: The impact of migrant integration policies," Economics and Politics, Wiley Blackwell, vol. 34(1), pages 171-191, March.
    40. Salvatore Falco & Anna B. Kis & Martina Viarengo & Utsoree Das, 2024. "Leaving Home: Cumulative Climate Shocks and Migration in Sub-Saharan Africa," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 321-345, January.
    41. Martinez-Zarzoso, Inmaculada, 2017. "Searching for grouped patterns of heterogeneity in the climate-migration link," University of Göttingen Working Papers in Economics 321, University of Goettingen, Department of Economics.
    42. Marc Helbling & Daniel Meierrieks, 2021. "How climate change leads to emigration: Conditional and long‐run effects," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2323-2349, November.
    43. Catherine Abiola O. Akinbami, 2021. "Migration and Climate Change Impacts on Rural Entrepreneurs in Nigeria: A Gender Perspective," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    44. Michael Berlemann & Max Friedrich Steinhardt, 2017. "Climate Change, Natural Disasters, and Migration—a Survey of the Empirical Evidence," CESifo Economic Studies, CESifo Group, vol. 63(4), pages 353-385.
    45. Thomas Steinwachs, 2019. "Geography Matters: Spatial Dimensions of Trade, Migration and Growth," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 81.
    46. Salvatore Di Falco; Anna B. Kis; Martina Viarengo, 2021. "Cumulative Climate Shocks and Migratory Flows: Evidence from Sub-Saharan Africa," CIES Research Paper series 73-2022, Centre for International Environmental Studies, The Graduate Institute.
    47. Maya Moore & Dennis Wesselbaum, 2023. "Climatic factors as drivers of migration: a review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 2955-2975, April.

  10. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2013. "Pareto utility," Theory and Decision, Springer, vol. 75(1), pages 43-57, July.

    Cited by:

    1. Simone Cerreia-Vioglio & David Dillenberger & Pietro ortoleva, 2013. "Cautious Expected Utility and the Certainty Effect," Working Papers 488, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Simon Dietz & Nicoleta Anca Matei, 2016. "Spaces for Agreement: A Theory of Time-Stochastic Dominance and an Application to Climate Change," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(1), pages 85-130.
    3. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Expected Utility and Catastrophic Risk in a Stochastic Economy-Climate Model," Other publications TiSEM 52cbee73-e1dc-4ed3-8ec9-6, Tilburg University, School of Economics and Management.
    4. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2015. "Expected utility and catastrophic consumption risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 306-312.
    5. Kine Josefine Aurland-Bredesen, 2020. "The Benefit-Cost Ratio as a Decision Criteria When Managing Catastrophes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(2), pages 345-363, October.
    6. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2014. "Expected Utility and Catastrophic Risk," Tinbergen Institute Discussion Papers 14-133/III, Tinbergen Institute.
    7. Simon Dietz & Anca N. Matei, 2013. "Is there space for agreement on climate change? A non-parametric approach to policy evaluation," GRI Working Papers 136, Grantham Research Institute on Climate Change and the Environment.

  11. Magnus, Jan R. & Melenberg, Bertrand & Muris, Chris, 2011. "Global Warming and Local Dimming: The Statistical Evidence," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 452-464.
    See citations under working paper version above.
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