IDEAS home Printed from https://ideas.repec.org/f/pma948.html
   My authors  Follow this author

Antonello Maruotti

Personal Details

First Name:Antonello
Middle Name:
Last Name:Maruotti
Suffix:
RePEc Short-ID:pma948
http://scienzepolitiche.uniroma3.it/amaruotti/

Affiliation

(50%) Dipartimento di Scienze Politiche
Università degli Studi Roma Tre

Roma, Italy


: 06 57335209-5284
06 57335282

RePEc:edi:diro3it (more details at EDIRC)

(50%) Centro di Ricerca sull'Economia delle Istituzioni (CREI)
Università degli Studi Roma Tre

Roma, Italy
http://host.uniroma3.it/centri/crei/

: 06.57067248

Via Ostiense, 161, 00154 ROMA
RePEc:edi:crro3it (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Antonello Maruotti & Valentina Raponi, 2012. "On Baseline Conditions For Zero-Inflated Longitudinal Count Data," Working Papers 0212, CREI Università degli Studi Roma Tre, revised 2012.
  2. Francesco Lagona & Antonello Maruotti & Fabio Padovano, 2012. "The opposite Cycles of Laws and Decrees," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2012-01-ccr, Condorcet Center for political Economy.
  3. Bernardi, Mauro & Maruotti, Antonello & Lea, Petrella, 2012. "Skew mixture models for loss distributions: a Bayesian approach," MPRA Paper 39826, University Library of Munich, Germany.
  4. Antonello Maruotti, 2008. "Fairness Of National Health Service In Italy: A Bivariate Correlated Random Effects Model," Working Papers 0308, CREI Università degli Studi Roma Tre, revised 2008.

Articles

  1. Antonello Maruotti, 2014. "Latent Markov Models for longitudinal data," METRON, Springer;Sapienza Università di Roma, vol. 72(3), pages 367-368, October.
  2. Filippo Belloc & Mauro Bernardi & Antonello Maruotti & Lea Petrella, 2013. "A dynamic hurdle model for zeroinflated panel count data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(9), pages 837-841, June.
  3. Inmaculada Martinez‐Zarzoso & Antonello Maruotti, 2013. "The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting," Environmetrics, John Wiley & Sons, Ltd., vol. 24(7), pages 461-475, November.
  4. Bernardi, Mauro & Maruotti, Antonello & Petrella, Lea, 2012. "Skew mixture models for loss distributions: A Bayesian approach," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 617-623.
  5. Monica Auteri & Antonello Maruotti, 2012. "Modelling waiting times in the Italian National Health Service," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 459-465, March.
  6. Antonello Maruotti, 2011. "Mixed Hidden Markov Models for Longitudinal Data: An Overview," International Statistical Review, International Statistical Institute, vol. 79(3), pages 427-454, December.
  7. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
  8. F. Belloc & A. Maruotti & L. Petrella, 2011. "How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2225-2239.
  9. Antonello Maruotti, 2009. "Fairness of the national health service in Italy: a bivariate correlated random effects model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 709-722.
  10. Lorenzo Clementi & Antonello Maruotti, 2007. "Efficiency indicators versus frontier methods: an empirical investigation of italian public hospitals," Statistica, Department of Statistics, University of Bologna, vol. 67(3), pages 263-279.

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

  1. Francesco Lagona & Antonello Maruotti & Fabio Padovano, 2012. "The opposite Cycles of Laws and Decrees," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2012-01-ccr, Condorcet Center for political Economy.

    Cited by:

    1. Fabio Padovano & Ilaria Petrarca, 2013. "When and how politicians take ‘scandalous’ decisions?," Constitutional Political Economy, Springer, vol. 24(4), pages 336-351, December.
    2. Josef Brechler & Adam Geršl, 2014. "Political legislation cycle in the Czech Republic," Constitutional Political Economy, Springer, vol. 25(2), pages 137-153, June.
    3. Fabio Padovano, 2013. "Are we witnessing a paradigm shift in the analysis of political competition?," Public Choice, Springer, vol. 156(3), pages 631-651, September.

  2. Bernardi, Mauro & Maruotti, Antonello & Lea, Petrella, 2012. "Skew mixture models for loss distributions: a Bayesian approach," MPRA Paper 39826, University Library of Munich, Germany.

    Cited by:

    1. Valeria Bignozzi & Claudio Macci & Lea Petrella, 2017. "Large deviations for risk measures in finite mixture models," Papers 1710.03252, arXiv.org, revised Feb 2018.
    2. Bernardi, Mauro, 2013. "Risk measures for skew normal mixtures," Statistics & Probability Letters, Elsevier, vol. 83(8), pages 1819-1824.
    3. Loperfido, Nicola, 2014. "A note on the fourth cumulant of a finite mixture distribution," Journal of Multivariate Analysis, Elsevier, vol. 123(C), pages 386-394.
    4. Mauro Bernardi & Ghislaine Gayraud & Lea Petrella, 2013. "Bayesian inference for CoVaR," Papers 1306.2834, arXiv.org, revised Nov 2013.
    5. Bernardi, Mauro & Maruotti, Antonello & Petrella, Lea, 2017. "Multiple risk measures for multivariate dynamic heavy–tailed models," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 1-32.
    6. Tarpey, Thaddeus & Loperfido, Nicola, 2015. "Self-consistency and a generalized principal subspace theorem," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 27-37.
    7. Bignozzi, Valeria & Macci, Claudio & Petrella, Lea, 2018. "Large deviations for risk measures in finite mixture models," Insurance: Mathematics and Economics, Elsevier, vol. 80(C), pages 84-92.
    8. Peng, Zuoxiang & Li, Chunqiao & Nadarajah, Saralees, 2016. "Extremal properties of the skew-t distribution," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 10-19.
    9. Farias, Rafael B.A. & Montoril, Michel H. & Andrade, José A.A., 2016. "Bayesian inference for extreme quantiles of heavy tailed distributions," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 103-107.
    10. Bhati, Deepesh & Ravi, Sreenivasan, 2018. "On generalized log-Moyal distribution: A new heavy tailed size distribution," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 247-259.
    11. Abu Bakar, S.A. & Hamzah, N.A. & Maghsoudi, M. & Nadarajah, S., 2015. "Modeling loss data using composite models," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 146-154.

Articles

  1. Antonello Maruotti, 2014. "Latent Markov Models for longitudinal data," METRON, Springer;Sapienza Università di Roma, vol. 72(3), pages 367-368, October.

    Cited by:

    1. Judex Hyppolite, 2017. "Alternative approaches for econometric modeling of panel data using mixture distributions," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-34, December.

  2. Filippo Belloc & Mauro Bernardi & Antonello Maruotti & Lea Petrella, 2013. "A dynamic hurdle model for zeroinflated panel count data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(9), pages 837-841, June.

    Cited by:

    1. Ting Wang & Jiancang Zhuang & Kazushige Obara & Hiroshi Tsuruoka, 2017. "Hidden Markov modelling of sparse time series from non-volcanic tremor observations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 691-715, August.

  3. Inmaculada Martinez‐Zarzoso & Antonello Maruotti, 2013. "The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting," Environmetrics, John Wiley & Sons, Ltd., vol. 24(7), pages 461-475, November.

    Cited by:

    1. Haitao Zheng & Jie Hu & Rong Guan & Shanshan Wang, 2016. "Examining Determinants of CO 2 Emissions in 73 Cities in China," Sustainability, MDPI, Open Access Journal, vol. 8(12), pages 1-17, December.
    2. Maruotti, Antonello & Punzo, Antonio, 2017. "Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 475-496.

  4. Bernardi, Mauro & Maruotti, Antonello & Petrella, Lea, 2012. "Skew mixture models for loss distributions: A Bayesian approach," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 617-623.
    See citations under working paper version above.
  5. Monica Auteri & Antonello Maruotti, 2012. "Modelling waiting times in the Italian National Health Service," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 459-465, March.

    Cited by:

    1. Antonello Maruotti & Valentina Raponi, 2012. "On Baseline Conditions For Zero-Inflated Longitudinal Count Data," Working Papers 0212, CREI Università degli Studi Roma Tre, revised 2012.

  6. Antonello Maruotti, 2011. "Mixed Hidden Markov Models for Longitudinal Data: An Overview," International Statistical Review, International Statistical Institute, vol. 79(3), pages 427-454, December.

    Cited by:

    1. Xinyuan Song & Yemao Xia & Hongtu Zhu, 2017. "Hidden Markov latent variable models with multivariate longitudinal data," Biometrics, The International Biometric Society, vol. 73(1), pages 313-323, March.
    2. Francesco Bartolucci & Alessio Farcomeni, 2015. "A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates," Biometrics, The International Biometric Society, vol. 71(1), pages 80-89, March.
    3. Montanari, Giorgio E. & Doretti, Marco & Bartolucci, Francesco, 2017. "A multilevel latent Markov model for the evaluation of nursing homes' performance," MPRA Paper 80691, University Library of Munich, Germany.
    4. Jesse D. Raffa & Joel A. Dubin, 2015. "Multivariate longitudinal data analysis with mixed effects hidden Markov models," Biometrics, The International Biometric Society, vol. 71(3), pages 821-831, September.
    5. Maria Marino & Marco Alfó, 2015. "Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(4), pages 483-502, December.
    6. Bartolucci, Francesco & Farcomeni, Alessio & Pennoni, Fulvia, 2012. "Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," MPRA Paper 39023, University Library of Munich, Germany.
    7. Mark, Tanya & Lemon, Katherine N. & Vandenbosch, Mark & Bulla, Jan & Maruotti, Antonello, 2013. "Capturing the Evolution of Customer–Firm Relationships: How Customers Become More (or Less) Valuable Over Time," Journal of Retailing, Elsevier, vol. 89(3), pages 231-245.
    8. Bartolucci, Francesco & Lupparelli, Monia, 2012. "Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data," MPRA Paper 40588, University Library of Munich, Germany.
    9. Maruotti, Antonello & Punzo, Antonio, 2017. "Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 475-496.
    10. Xu, Peirong & Peng, Heng & Huang, Tao, 2018. "Unsupervised learning of mixture regression models for longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 125(C), pages 44-56.
    11. Gordon Anderson & Alessio Farcomeni & Grazia Pittau & Roberto Zelli, 2017. "Rectangular latent Markov models for time-specific clustering," Working Papers tecipa-589, University of Toronto, Department of Economics.
    12. Marino, Maria Francesca & Alfó, Marco, 2016. "Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 193-209.
    13. Inmaculada Martinez‐Zarzoso & Antonello Maruotti, 2013. "The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting," Environmetrics, John Wiley & Sons, Ltd., vol. 24(7), pages 461-475, November.
    14. Giovanni Marano & Gianni Betti & Francesca Gagliardi, 2014. "Latent class Markov models for addressing measurement problems in poverty dynamics," Department of Economics University of Siena 695, Department of Economics, University of Siena.
    15. Francesco Lagona & Antonello Maruotti & Fabio Padovano, 2015. "Multilevel multivariate modelling of legislative count data, with a hidden Markov chain," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 705-723, June.
    16. Francesco Lagona & Antonello Maruotti & Fabio Padovano, 2014. "Multilevel multivariate modelling of legislative count data, with a hidden Markov chain," Post-Print halshs-01246575, HAL.

  7. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.

    Cited by:

    1. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
    2. Anderson, Blake & M'Gonigle, Michael, 2012. "Does ecological economics have a future?," Ecological Economics, Elsevier, vol. 84(C), pages 37-48.
    3. Mohamed El Hedi Arouri & Adel Ben Youssef & Cuong Nguyen-Viet & Agnès Soucat, 2014. "Effects of urbanization on economic growth and human capital formation in Africa," Working Papers halshs-01068271, HAL.
    4. Disli, Mustafa & Ng, Adam & Askari, Hossein, 2016. "Culture, income, and CO2 emission," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 418-428.
    5. Wang, Shaojian & Li, Guangdong & Fang, Chuanglin, 2018. "Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2144-2159.
    6. Xiangrong Ma & Jianping Ge & Wei Wang, 2017. "The relationship between urbanization, income growth and carbon dioxide emissions and the policy implications for China: a cointegrated vector error correction (VEC) analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 1017-1033, June.
    7. Feng Dong & Ruyin Long & Zhuolin Li & Yuanju Dai, 2016. "Analysis of carbon emission intensity, urbanization and energy mix: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1375-1391, June.
    8. Huiqin Jiang & Xiao Zhang & Xinxiao Shao & Jianqiang Bao, 2018. "How Do the Industrial Structure Optimization and Urbanization Development Affect Energy Consumption in Zhejiang Province of China?," Sustainability, MDPI, Open Access Journal, vol. 10(6), pages 1-12, June.
    9. Shoufu Lin & Ji Sun & Dora Marinova & Dingtao Zhao, 2017. "Effects of Population and Land Urbanization on China’s Environmental Impact: Empirical Analysis Based on the Extended STIRPAT Model," Sustainability, MDPI, Open Access Journal, vol. 9(5), pages 1-21, May.
    10. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, Open Access Journal, vol. 9(4), pages 1-14, April.
    11. Liddle, Brantley & Lung, Sidney, 2013. "Might electricity consumption cause urbanization instead? Evidence from heterogeneous panel long-run causality tests," MPRA Paper 52333, University Library of Munich, Germany.
    12. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    13. Thais NUNEZ-ROCHA & Inmaculada MARTíNEZ-ZARZOSO, 2018. "Is National Environmental Legislation Affecting Emissions?," LEO Working Papers / DR LEO 2505, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    14. Wang, Yuan & Zhang, Xiang & Kubota, Jumpei & Zhu, Xiaodong & Lu, Genfa, 2015. "A semi-parametric panel data analysis on the urbanization-carbon emissions nexus for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 704-709.
    15. Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, Open Access Journal, vol. 8(3), pages 1-20, March.
    16. Shahbaz, Muhammad & Kumar Tiwari, Aviral & Nasir, Muhammad, 2013. "The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa," Energy Policy, Elsevier, vol. 61(C), pages 1452-1459.
    17. Ota, Toru & Kakinaka, Makoto & Kotani, Koji, 2018. "Demographic effects on residential electricity and city gas consumption in the aging society of Japan," Energy Policy, Elsevier, vol. 115(C), pages 503-513.
    18. Constantin-Marius APOSTOAIE & Costica MIHAI & Alexandru MAXIM, 2015. "A Bibliometric Analysis On Eu And Global Research On The Environmental Impact Of Cities," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 2, pages 9-20.
    19. Franco, Sainu & Mandla, Venkata Ravibabu & Ram Mohan Rao, K., 2017. "Urbanization, energy consumption and emissions in the Indian context A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 898-907.
    20. Florian Grosset & Phu Nguyen-Van, 2015. "Consommation d’énergie et croissance économique en Afrique subsaharienne," Working Papers of BETA 2015-29, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    21. Li, Ke & Lin, Boqiang, 2015. "Impacts of urbanization and industrialization on energy consumption/CO2 emissions: Does the level of development matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1107-1122.
    22. Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
    23. Elliott, Robert J.R. & Sun, Puyang & Zhu, Tong, 2017. "The direct and indirect effect of urbanization on energy intensity: A province-level study for China," Energy, Elsevier, vol. 123(C), pages 677-692.
    24. Sencer Atasoy, Burak, 2017. "Testing the environmental Kuznets curve hypothesis across the U.S.: Evidence from panel mean group estimators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 731-747.
    25. Hu, Zongyi & Tang, Liwei, 2013. "Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach," MPRA Paper 55379, University Library of Munich, Germany.
    26. Ramlall, Indranarain, 2017. "Internalizing CO2 emissions via central banks’ financials: Evidence from the world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 549-559.
    27. Baghdadi, Leila & Martinez-Zarzoso, Inmaculada & Zitouna, Habib, 2013. "Are RTA agreements with environmental provisions reducing emissions?," Journal of International Economics, Elsevier, vol. 90(2), pages 378-390.
    28. Chikaraishi, Makoto & Fujiwara, Akimasa & Kaneko, Shinji & Poumanyvong, Phetkeo & Komatsu, Satoru & Kalugin, Andrey, 2015. "The moderating effects of urbanization on carbon dioxide emissions: A latent class modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 302-317.
    29. Wang, Yuan & Li, Li & Kubota, Jumpei & Han, Rong & Zhu, Xiaodong & Lu, Genfa, 2016. "Does urbanization lead to more carbon emission? Evidence from a panel of BRICS countries," Applied Energy, Elsevier, vol. 168(C), pages 375-380.
    30. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
    31. Jeyhun I. Mikayilov & Marzio Galeotti & Fakhri J. Hasanov, 2018. "The Impact of Economic Growth on CO2 Emissions in Azerbaijan," IEFE Working Papers 102, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    32. Cerdeira Bento, João Paulo, 2014. "The determinants of CO2 emissions: empirical evidence from Italy," MPRA Paper 59166, University Library of Munich, Germany.
    33. Cerdeira Bento, João Paulo & Moutinho, Victor, 2016. "CO2 emissions, non-renewable and renewable electricity production, economic growth, and international trade in Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 142-155.
    34. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    35. WenShwo Fang & Stephen M. Miller, 2012. "The effect of ESCOs on carbon dioxide emissions," Working papers 2012-14, University of Connecticut, Department of Economics.
    36. Benfan LIANG & Jiahua PAN & Ying ZHANG & Yanchun MENG & Shouxian ZHU, 2015. "China’s Low-Carbon Urbanization Progress and Pathway," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-20, December.
    37. Pascal Da Costa & Wenhui Tian, 2015. "A Sectoral Prospective Analysis of CO2 Emissions in China, USA and France, 2010-2050," Working Papers hal-01026302, HAL.
    38. Fang, Wen Shwo & Miller, Stephen M. & Yeh, Chih-Chuan, 2012. "The effect of ESCOs on energy use," Energy Policy, Elsevier, vol. 51(C), pages 558-568.
    39. Shafiei, Sahar & Salim, Ruhul A., 2014. "Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis," Energy Policy, Elsevier, vol. 66(C), pages 547-556.
    40. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    41. Phetkeo Poumanyvong & Shinji Kaneko & Shobhakar Dhakal, 2012. "Impacts of urbanization on national transport and road energy use: Evidence from low, middle and high income countries," IDEC DP2 Series 2-2, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    42. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M. & Sab, Che Normee Binti Che, 2013. "Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 107-112.
    43. Charfeddine, Lanouar & Ben Khediri, Karim, 2016. "Financial development and environmental quality in UAE: Cointegration with structural breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1322-1335.
    44. Zhimin Zhou & Xinyue Ye & Xiangyu Ge, 2017. "The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach," Sustainability, MDPI, Open Access Journal, vol. 9(4), pages 1-27, April.
    45. Niu, Honglei & Lekse, William, 2017. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics Discussion Papers 2017-62, Kiel Institute for the World Economy (IfW).
    46. Miguel Rodríguez & Yolanda Pena-Boquete, 2013. "Mishandling carbon intensities," Working Papers 1302, Universidade de Vigo, Departamento de Economía Aplicada.
    47. Al-mulali, Usama & Binti Che Sab, Che Normee & Fereidouni, Hassan Gholipour, 2012. "Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission," Energy, Elsevier, vol. 46(1), pages 156-167.
    48. Iwata, Kazuyuki & Managi, Shunsuke, 2015. "Can Land Use Regulations and Taxes Help Mitigate Vehicular CO2 emissions?: An Empirical Study of Japanese Cities," MPRA Paper 66435, University Library of Munich, Germany.
    49. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    50. Liddle, Brantley, 2014. "Impact of population, age structure, and urbanization on carbon emissions/energy consumption: Evidence from macro-level, cross-country analyses," MPRA Paper 61306, University Library of Munich, Germany.
    51. Kais, Saidi & Sami, Hammami, 2016. "An econometric study of the impact of economic growth and energy use on carbon emissions: Panel data evidence from fifty eight countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1101-1110.
    52. Li, Jun, 2011. "Decoupling urban transport from GHG emissions in Indian cities--A critical review and perspectives," Energy Policy, Elsevier, vol. 39(6), pages 3503-3514, June.
    53. Leila Baghdadi & Inmaculada Martínez-Zarzoso & Celestino Suárez-Burguet & Habib Zitouna, 2012. "Is the road to regional integration paved with pollution convergence?," Working Papers 2012/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    54. Shahbaz, Muhammad & Loganathan, Nanthakumar & Muzaffar, Ahmed Taneem & Ahmed, Khalid & Jabran, Muhammad Ali, 2015. "How Urbanization Affects CO2 Emissions in Malaysia? The Application of STIRPAT Model," MPRA Paper 68422, University Library of Munich, Germany, revised 15 Dec 2015.
    55. Tripathi, Sabyasachi & Kaur, Shupinder, 2017. "Do negative externalities have any impact on population agglomerations? Evidence from Urban India," MPRA Paper 76897, University Library of Munich, Germany.
    56. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    57. Wenhui Tian & Pascal Da Costa & Jean-Claude Bocquet, 2015. "Inequalities of Sectors CO 2 emissions in China, USA and France, 2010-2050," Working Papers hal-01219769, HAL.
    58. Zhou, Yang & Liu, Yansui & Wu, Wenxiang & Li, Yurui, 2015. "Effects of rural–urban development transformation on energy consumption and CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 863-875.
    59. Yang, Xuechun & Lou, Feng & Sun, Mingxing & Wang, Renqing & Wang, Yutao, 2017. "Study of the relationship between greenhouse gas emissions and the economic growth of Russia based on the Environmental Kuznets Curve," Applied Energy, Elsevier, vol. 193(C), pages 162-173.
    60. Sheng, Pengfei & Guo, Xiaohui, 2016. "The Long-run and Short-run Impacts of Urbanization on Carbon Dioxide Emissions," Economic Modelling, Elsevier, vol. 53(C), pages 208-215.
    61. Asane-Otoo, Emmanuel, 2015. "Carbon footprint and emission determinants in Africa," Energy, Elsevier, vol. 82(C), pages 426-435.
    62. Huiru Zhao & Guo Huang & Ning Yan, 2018. "Forecasting Energy-Related CO 2 Emissions Employing a Novel SSA-LSSVM Model: Considering Structural Factors in China," Energies, MDPI, Open Access Journal, vol. 11(4), pages 1-21, March.
    63. Ethan Sharygin, 2013. "The Carbon Cost of an Educated Future: A Consumer Lifestyle Approach," VID Working Papers 1304, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    64. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 579-595, September.
    65. Yuzhe Wu & Jiaojiao Luo & Liyin Shen & Martin Skitmore, 2018. "The Effects of an Energy Use Paradigm Shift on Carbon Emissions: A Simulation Study," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-18, May.
    66. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    67. Wang, Sophie Xuefei & Fu, Yu Benjamin & Zhang, Zhe George, 2015. "Population growth and the environmental Kuznets curve," China Economic Review, Elsevier, vol. 36(C), pages 146-165.
    68. Ibrahim, Mansor H. & Law, Siong Hook, 2014. "Social capital and CO2 emission—output relations: A panel analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 528-534.
    69. Liddle, Brantley, 2015. "What Are the Carbon Emissions Elasticities for Income and Population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates," MPRA Paper 61304, University Library of Munich, Germany.
    70. Andrew Jorgenson & Daniel Auerbach & Brett Clark, 2014. "The (De-) carbonization of urbanization, 1960–2010," Climatic Change, Springer, vol. 127(3), pages 561-575, December.
    71. Mohamed Arouri & Muhammad Shahbaz & Rattapon Onchang & Faridul Islam & Frédéric Teulon, 2014. "Environmental Kuznets Curve in Thailand: Cointegration and Causality Analysis," Working Papers 2014-204, Department of Research, Ipag Business School.
    72. Hasanov, Fakhri J. & Bulut, Cihan & Suleymanov, Elchin, 2016. "Do population age groups matter in the energy use of the oil-exporting countries?," Economic Modelling, Elsevier, vol. 54(C), pages 82-99.
    73. Muhammad, Shahbaz & Tiwari, Aviral & Muhammad, Nasir, 2011. "The effects of financial development, economic growth, coal consumption and trade openness on environment performance in South Africa," MPRA Paper 32723, University Library of Munich, Germany, revised 10 Aug 2011.
    74. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
    75. Sinha, Avik & Shahbaz, Muhammad & Balsalobre, Daniel, 2017. "Exploring the Relationship between Energy Usage Segregation and Environmental Degradation in N-11 Countries," MPRA Paper 81212, University Library of Munich, Germany, revised 07 Sep 2017.
    76. Pengyan Zhang & Jianjian He & Xin Hong & Wei Zhang & Chengzhe Qin & Bo Pang & Yanyan Li & Yu Liu, 2017. "Regional-Level Carbon Emissions Modelling and Scenario Analysis: A STIRPAT Case Study in Henan Province, China," Sustainability, MDPI, Open Access Journal, vol. 9(12), pages 1-15, December.
    77. Adams, Samuel & Klobodu, Edem Kwame Mensah, 2017. "Urbanization, democracy, bureaucratic quality, and environmental degradation," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 1035-1051.
    78. Toru Ota & Makoto Kakinaka & Koji Kotani, 2017. "Demographic effects on residential electricity and city gas consumption in aging society of Japan," Working Papers SDES-2017-7, Kochi University of Technology, School of Economics and Management, revised Jun 2017.
    79. Meng, Ming & Niu, Dongxiao & Shang, Wei, 2012. "CO2 emissions and economic development: China's 12th five-year plan," Energy Policy, Elsevier, vol. 42(C), pages 468-475.
    80. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2011. "How well did the Kyoto Protocol work? A dynamic-GMM approach with external instruments," Ibero America Institute for Econ. Research (IAI) Discussion Papers 212, Ibero-America Institute for Economic Research.
    81. Robert J R Elliott & Puyang Sun & Tong Zhu, 2014. "Urbanization and Energy Intensity: A Province-level Study for China," Discussion Papers 14-05, Department of Economics, University of Birmingham.
    82. Abdallh, Atif Awad & Abugamos, Hoda, 2017. "A semi-parametric panel data analysis on the urbanisation-carbon emissions nexus for the MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1350-1356.
    83. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    84. Long, X. & Ji, Xi & Ulgiati, S., 2017. "Is urbanization eco-friendly? An energy and land use cross-country analysis," Energy Policy, Elsevier, vol. 100(C), pages 387-396.
    85. Behera, Smruti Ranjan & Dash, Devi Prasad, 2017. "The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (South and Southeast Asian) region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 96-106.
    86. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
    87. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    88. Squalli, Jay, 2017. "Renewable energy, coal as a baseload power source, and greenhouse gas emissions: Evidence from U.S. state-level data," Energy, Elsevier, vol. 127(C), pages 479-488.
    89. Liddle, Brantley & Sadorsky, Perry, 2017. "How much does increasing non-fossil fuels in electricity generation reduce carbon dioxide emissions?," Applied Energy, Elsevier, vol. 197(C), pages 212-221.

  8. F. Belloc & A. Maruotti & L. Petrella, 2011. "How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2225-2239.

    Cited by:

    1. Laureti, Tiziana & Secondi, Luca & Biggeri, Luigi, 2014. "Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach," Economics of Education Review, Elsevier, vol. 42(C), pages 147-164.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2012-03-08 2012-07-14
  2. NEP-CDM: Collective Decision-Making (1) 2012-03-28
  3. NEP-POL: Positive Political Economics (1) 2012-03-28
  4. NEP-RMG: Risk Management (1) 2012-07-14

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Antonello Maruotti should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.