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Antonello Maruotti

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. 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. Bougherara, Douadia & Piet, Laurent, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers 279351, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    2. Valeria Bignozzi & Claudio Macci & Lea Petrella, 2017. "Large deviations for risk measures in finite mixture models," Papers 1710.03252, arXiv.org, revised Feb 2018.
    3. Ignatieva, Katja & Landsman, Zinoviy, 2019. "Conditional tail risk measures for the skewed generalised hyperbolic family," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 98-114.
    4. Ahmed Z. Afify & Ahmed M. Gemeay & Noor Akma Ibrahim, 2020. "The Heavy-Tailed Exponential Distribution: Risk Measures, Estimation, and Application to Actuarial Data," Mathematics, MDPI, vol. 8(8), pages 1-28, August.
    5. Bernardi, Mauro, 2013. "Risk measures for skew normal mixtures," Statistics & Probability Letters, Elsevier, vol. 83(8), pages 1819-1824.
    6. Alexeev Vitali & Ignatieva Katja & Liyanage Thusitha, 2021. "Dependence Modelling in Insurance via Copulas with Skewed Generalised Hyperbolic Marginals," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
    7. Lin, Edward M.H. & Sun, Edward W. & Yu, Min-Teh, 2020. "Behavioral data-driven analysis with Bayesian method for risk management of financial services," International Journal of Production Economics, Elsevier, vol. 228(C).
    8. 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.
    9. Ignatieva, Katja & Landsman, Zinoviy, 2021. "A class of generalised hyper-elliptical distributions and their applications in computing conditional tail risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 437-465.
    10. Peng, Zuoxiang & Li, Chunqiao & Nadarajah, Saralees, 2016. "Extremal properties of the skew-t distribution," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 10-19.
    11. Punzo, Antonio & Bagnato, Luca & Maruotti, Antonello, 2018. "Compound unimodal distributions for insurance losses," Insurance: Mathematics and Economics, Elsevier, vol. 81(C), pages 95-107.
    12. 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.
    13. Shi, Yue & Punzo, Antonio & Otneim, Håkon & Maruotti, Antonello, 2023. "Hidden semi-Markov models for rainfall-related insurance claims," Discussion Papers 2023/17, Norwegian School of Economics, Department of Business and Management Science.
    14. 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.
    15. Javed, Farrukh & Loperfido, Nicola & Mazur, Stepan, 2020. "Edgeworth Expansions for Multivariate Random Sums," Working Papers 2020:9, Örebro University, School of Business.
    16. Mauro Bernardi & Ghislaine Gayraud & Lea Petrella, 2013. "Bayesian inference for CoVaR," Papers 1306.2834, arXiv.org, revised Nov 2013.
    17. Tarpey, Thaddeus & Loperfido, Nicola, 2015. "Self-consistency and a generalized principal subspace theorem," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 27-37.
    18. Maruotti, Antonello & Petrella, Lea & Sposito, Luca, 2021. "Hidden semi-Markov-switching quantile regression for time series," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).
    19. 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.
    20. 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.

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.
    2. Costantino, Francesco & Di Gravio, Giulio & Patriarca, Riccardo & Petrella, Lea, 2018. "Spare parts management for irregular demand items," Omega, Elsevier, vol. 81(C), pages 57-66.

  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, 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.
    3. Maruotti, Antonello & Petrella, Lea & Sposito, Luca, 2021. "Hidden semi-Markov-switching quantile regression for time series," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).

  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. Joana Cima & Paulo Guimarães & Álvaro Almeida, 2018. "Explaining the gender gap in waiting times for scheduled surgery in the Portuguese National Health Service," FEP Working Papers 607, Universidade do Porto, Faculdade de Economia do Porto.

  6. 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. Wei, Honghong & Lahiri, Radhika, 2022. "Urbanization, energy-use intensity and emissions: A sectoral approach," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 667-684.
    2. Xiaoqing Lin & Chunyan Lu & Kaishan Song & Ying Su & Yifan Lei & Lianxiu Zhong & Yibin Gao, 2020. "Analysis of Coupling Coordination Variance between Urbanization Quality and Eco-Environment Pressure: A Case Study of the West Taiwan Strait Urban Agglomeration, China," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    3. Anderson, Blake & M'Gonigle, Michael, 2012. "Does ecological economics have a future?," Ecological Economics, Elsevier, vol. 84(C), pages 37-48.
    4. Wang, Wei-Zheng & Liu, Lan-Cui & Liao, Hua & Wei, Yi-Ming, 2021. "Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries," Energy Policy, Elsevier, vol. 151(C).
    5. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    6. 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.
    7. Briglauer, Wolfgang & Köppl-Turyna, Monika & Schwarzbauer, Wolfgang, 2022. "Evaluating the effects of ICT core elements on CO2 emissions: Recent evidence from OECD countries," Research Papers 22, EcoAustria – Institute for Economic Research.
    8. Jing Jin & Duozhang Chen, 2022. "Research on the Impact of the County-to-District Reform on Environmental Pollution in China," Sustainability, MDPI, vol. 14(11), pages 1-12, May.
    9. 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.
    10. 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.
    11. Yitian Ren & Heng Li & Liyin Shen & Yu Zhang & Yang Chen & Jinhuan Wang, 2018. "What Is the Efficiency of Fast Urbanization? A China Study," Sustainability, MDPI, vol. 10(9), pages 1-26, September.
    12. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    13. Metodieva, Tsvetana Harizanova & Bartos, Hristina Harizanova, 2020. "Relation between emitted CO2, asset expenditures, produced energy from renewables and energy consumption. Evidence from Bulgaria," MPRA Paper 106348, University Library of Munich, Germany.
    14. Qiu Chen & Haoran Yang & Wenguo Wang & Tianbiao Liu, 2019. "Beyond the City: Effects of Urbanization on Rural Residential Energy Intensity and CO 2 Emissions," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    15. Muhammad, Sulaman & Long, Xingle & Salman, Muhammad & Dauda, Lamini, 2020. "Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries," Energy, Elsevier, vol. 196(C).
    16. Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, vol. 8(3), pages 1-20, March.
    17. 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.
    18. Dominik Hartmann & Diogo Ferraz & Mayra Bezerra & Andreas Pyka & Flavio L. Pinheiro, 2021. "Comparing cars with apples? Identifying the appropriate benchmark countries for relative ecological pollution rankings and international learning," Papers 2107.14365, arXiv.org.
    19. Ng Thanh Mai & Le Thanh Ha & Tr?n Thi Mai Hoa & Nguyen Thi Thanh Huyen, 2022. "Effects of Digitalization on Natural Resource Use in European Countries: Does Economic Complexity Matter?," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 77-92, May.
    20. Ali, Amjad & Audi, Marc & ŞENTÜRK, İsmail & Roussel, Yannick, 2021. "Do Sectoral Growth Promote CO2 Emissions in Pakistan? Time Series Analysis in Presence of Structural Break," MPRA Paper 111215, University Library of Munich, Germany.
    21. Chen, Shiyi & Jin, Hao & Lu, Yulin, 2019. "Impact of urbanization on CO2 emissions and energy consumption structure: A panel data analysis for Chinese prefecture-level cities," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 107-119.
    22. 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.
    23. 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.
    24. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
    25. 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.
    26. Jiang Qingquan & Shoukat Iqbal Khattak & Manzoor Ahmad & Lin Ping, 2020. "A new approach to environmental sustainability: Assessing the impact of monetary policy on CO2 emissions in Asian economies," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1331-1346, September.
    27. Taowu Pei & Lei Gao & Chao Yang & Chang Xu & Yu Tian & Weiming Song, 2021. "The Impact of FDI on Urban PM 2.5 Pollution in China: The Mediating Effect of Industrial Structure Transformation," IJERPH, MDPI, vol. 18(17), pages 1-24, August.
    28. Hamid Sepehrdoust & Saber Zamani, 2017. "The Challenge of Economic Growth and Environmental Protection in Developing Economies," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(4), pages 865-883, Autumn.
    29. Lisa Gianmoena & Vicente Rios, 2018. "The Determinants of CO2 Emissions Differentials with Cross-Country Interaction Effects: A Dynamic Spatial Panel Data Bayesian Model Averaging Approach," Discussion Papers 2018/234, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    30. Xie, Jia Yu & Suh, Dong Hee, 2021. "Examining the Determinants of Air Pollution: Implications of Economic Growth and Renewable Energy Consumption," 2021 Annual Meeting, August 1-3, Austin, Texas 313892, Agricultural and Applied Economics Association.
    31. Yanwen Sheng & Yi Miao & Jinping Song & Hongyan Shen, 2019. "The Moderating Effect of Innovation on the Relationship between Urbanization and CO 2 Emissions: Evidence from Three Major Urban Agglomerations in China," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    32. 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.
    33. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    34. Suyi Kim, 2020. "The Effects of Foreign Direct Investment, Economic Growth, Industrial Structure, Renewable and Nuclear Energy, and Urbanization on Korean Greenhouse Gas Emissions," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    35. Rui Yang & Yingwen Chen & Yiqun Liu & Yuchen Feng & Jianwan Ji & Christina W. Y. Wong & Xin Miao & Yanhong Tang, 2023. "Government–business relations, environmental information transparency, and Hu-line-related factors in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 7215-7238, July.
    36. Shi, Qiaoling & Zhao, Yuhuan & Qian, Zhiling & Zheng, Lu & Wang, Song, 2022. "Global value chains participation and carbon emissions: Evidence from Belt and Road countries," Applied Energy, Elsevier, vol. 310(C).
    37. Antonello Maruotti & Pierfrancesco Alaimo Di Loro, 2023. "CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model," Environmetrics, John Wiley & Sons, Ltd., vol. 34(5), August.
    38. 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.
    39. 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.
    40. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    41. 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.
    42. Razzaq, Asif & Sharif, Arshian & Ozturk, Ilhan & Skare, Marinko, 2022. "Inclusive infrastructure development, green innovation, and sustainable resource management: Evidence from China’s trade-adjusted material footprints," Resources Policy, Elsevier, vol. 79(C).
    43. 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.
    44. 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.
    45. 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.
    46. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
    47. Briglauer, Wolfgang & Köppl-Turyna, Monika, 2021. "Die Auswirkung der Digitalisierung auf CO2-Emissionen: Theoretische Einzeleffekte und empirische Abschätzung des Gesamteffekts," Policy Notes 46, EcoAustria – Institute for Economic Research.
    48. 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.
    49. Yang Ding & Qing Yang & Lanjuan Cao, 2021. "Examining the Impacts of Economic, Social, and Environmental Factors on the Relationship between Urbanization and CO 2 Emissions," Energies, MDPI, vol. 14(21), pages 1-23, November.
    50. 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.
    51. 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.
    52. Mansour, Shawky & Al-Belushi, Mohammed & Al-Awadhi, Talal, 2020. "Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques," Land Use Policy, Elsevier, vol. 91(C).
    53. 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, vol. 9(4), pages 1-27, April.
    54. Heru Cahyo & Sodik Dwi Purnomo & Sully Kemala Octisari & Mayla Surveyandini & Sri Sundari & Elly Kristiani Purwendah, 2023. "Environment, Population, and Economy on CO2 Emission in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 295-303, November.
    55. Emrah Sofuoğlu & Dervis Kirikkaleli, 2023. "The effect of mineral saving and energy on the ecological footprint in an emerging market: evidence from novel Fourier based approaches," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-16, December.
    56. 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 Kiel).
    57. Opoku, Eric Evans Osei & Kufuor, Nana Kwabena & Manu, Sylvester Adasi, 2021. "Gender, electricity access, renewable energy consumption and energy efficiency," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    58. Husam Rjoub & Jamiu Adetola Odugbesan & Tomiwa Sunday Adebayo & Wing-Keung Wong, 2021. "Sustainability of the Moderating Role of Financial Development in the Determinants of Environmental Degradation: Evidence from Turkey," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    59. Feifei Tan & Shasha Yang & Zhiyuan Niu, 2023. "The impact of urbanization on carbon emissions: both from heterogeneity and mechanism test," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 4813-4829, June.
    60. Yuanyuan Hao & Hong Chong Cho, 2022. "Research on the relationship between urban public infrastructure, CO2 emission and economic growth in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 7361-7376, May.
    61. 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.
    62. Alireza Motaghifard & Manouchehr Omidvari & Abolfazl Kazemi, 2023. "Forecasting of safe-green buildings using decision tree algorithm: data mining approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10323-10350, September.
    63. George Kyriakarakos & Athanasios T. Balafoutis & Dionysis Bochtis, 2020. "Proposing a Paradigm Shift in Rural Electrification Investments in Sub-Saharan Africa through Agriculture," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    64. 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.
    65. Wang, Miao & Feng, Chao, 2020. "The impacts of technological gap and scale economy on the low-carbon development of China's industries: An extended decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    66. Sun, Yunpeng & Bao, Qun & Siao-Yun, Wei & Islam, Misbah ul & Razzaq, Asif, 2022. "Renewable energy transition and environmental sustainability through economic complexity in BRICS countries: Fresh insights from novel Method of Moments Quantile regression," Renewable Energy, Elsevier, vol. 184(C), pages 1165-1176.
    67. Yixi Xue & Jie Ren & Xiaohang Bi, 2019. "Impact of Influencing Factors on CO 2 Emissions in the Yangtze River Delta during Urbanization," Sustainability, MDPI, vol. 11(15), pages 1-19, August.
    68. 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.
    69. Khan, Ali Nawaz & En, Xie & Raza, Muhammad Yousaf & Khan, Naseer Abbas & Ali, Ahsan, 2020. "Sectorial study of technological progress and CO2 emission: Insights from a developing economy," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    70. Gudipudi, Ramana & Rybski, Diego & Lüdeke, Matthias K.B. & Zhou, Bin & Liu, Zhu & Kropp, Jürgen P., 2019. "The efficient, the intensive, and the productive: Insights from urban Kaya scaling," Applied Energy, Elsevier, vol. 236(C), pages 155-162.
    71. 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.
    72. 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.
    73. Urszula Gierałtowska & Roman Asyngier & Joanna Nakonieczny & Raufhon Salahodjaev, 2022. "Renewable Energy, Urbanization, and CO 2 Emissions: A Global Test," Energies, MDPI, vol. 15(9), pages 1-13, May.
    74. Doğan, Buhari & Ghosh, Sudeshna & Hoang, Dung Phuong & Chu, Lan Khanh, 2022. "Are economic complexity and eco-innovation mutually exclusive to control energy demand and environmental quality in E7 and G7 countries?," Technology in Society, Elsevier, vol. 68(C).
    75. Singhania, Monica & Saini, Neha, 2021. "Demystifying pollution haven hypothesis: Role of FDI," Journal of Business Research, Elsevier, vol. 123(C), pages 516-528.
    76. Wilmer Martínez-Rivera & Eliana R. González-Molano & Edgar Caicedo-García, 2023. "Forecasting Inflation from Disaggregated Data: The Colombian case," Borradores de Economia 1251, Banco de la Republica de Colombia.
    77. Junsong Jia & Jing Lei & Chundi Chen & Xu Song & Yexi Zhong, 2021. "Contribution of Renewable Energy Consumption to CO 2 Emission Mitigation: A Comparative Analysis from a Global Geographic Perspective," Sustainability, MDPI, vol. 13(7), pages 1-23, March.
    78. Liang, Xiaoying & Min Fan, & Xiao, Yuting & Yao, Jing, 2022. "Temporal-spatial characteristics of energy-based carbon dioxide emissions and driving factors during 2004–2019, China," Energy, Elsevier, vol. 261(PA).
    79. Alexandra-Anca PURCEL, 2020. "Developing States and the Green Challenge. A Dynamic Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 173-193, July.
    80. Alper Uzunali & Tuğçe Yazıcı, 2023. "Carbon footprint changing with Covid-19 in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10685-10707, October.
    81. Poumanyvong, Phetkeo & Kaneko, Shinji & Dhakal, Shobhakar, 2012. "Impacts of urbanization on national transport and road energy use: Evidence from low, middle and high income countries," Energy Policy, Elsevier, vol. 46(C), pages 268-277.
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  7. 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. Hie Joo Ahn & Bart Hobijn & Ayşegül Şahin, 2023. "The Dual U.S. Labor Market Uncovered," Working Paper Series WP 2023-18, Federal Reserve Bank of Chicago.
    5. Gordon Anderson & Alessio Farcomeni & Maria Grazia Pittau & Roberto Zelli, 2019. "Rectangular latent Markov models for time‐specific clustering, with an analysis of the wellbeing of nations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(3), pages 603-621, April.
    6. 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.
    7. Wan-Lun Wang, 2019. "Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 196-222, March.
    8. 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.
    9. 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.
    10. 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.
    11. Leopoldo Catania & Roberto Di Mari & Paolo Santucci de Magistris, 2019. "Dynamic discrete mixtures for high frequency prices," Discussion Papers 19/05, University of Nottingham, Granger Centre for Time Series Econometrics.
    12. Ardo Hout & Graciela Muniz-Terrera, 2019. "Hidden three-state survival model for bivariate longitudinal count data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(3), pages 529-545, July.
    13. 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.
    14. Catania, Leopoldo & Di Mari, Roberto, 2021. "Hierarchical Markov-switching models for multivariate integer-valued time-series," Journal of Econometrics, Elsevier, vol. 221(1), pages 118-137.
    15. Liu, Hefei & Song, Xinyuan, 2021. "Bayesian analysis of hidden Markov structural equation models with an unknown number of hidden states," Econometrics and Statistics, Elsevier, vol. 18(C), pages 29-43.
    16. Antonio Punzo & Salvatore Ingrassia & Antonello Maruotti, 2021. "Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions," Statistical Papers, Springer, vol. 62(3), pages 1519-1555, June.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Tullio, Federico & Bartolucci, Francesco, 2019. "Evaluating time-varying treatment effects in latent Markov models: An application to the effect of remittances on poverty dynamics," MPRA Paper 91459, University Library of Munich, Germany.
    23. Antonello Maruotti & Antonio Punzo, 2021. "Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies," International Statistical Review, International Statistical Institute, vol. 89(3), pages 447-480, December.
    24. Silvia Bacci & Bruno Bertaccini, 2022. "A Mixture Hidden Markov Model to Mine Students’ University Curricula," Data, MDPI, vol. 7(2), pages 1-19, February.
    25. Roberto Mari & Antonello Maruotti, 2022. "A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error," 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. 16(2), pages 273-300, June.
    26. 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.
    27. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
    28. Kahkashan Afrin & Ashif S Iquebal & Mostafa Karimi & Allyson Souris & Se Yoon Lee & Bani K Mallick, 2020. "Directionally dependent multi-view clustering using copula model," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    29. 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.
    30. Roland Langrock & Timo Adam & Vianey Leos‐Barajas & Sina Mews & David L. Miller & Yannis P. Papastamatiou, 2018. "Spline‐based nonparametric inference in general state‐switching models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(3), pages 179-200, August.
    31. Giorgio E. Montanari & Marco Doretti, 2019. "Ranking Nursing Homes’ Performances Through a Latent Markov Model with Fixed and Random Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 307-326, November.
    32. Luca Merlo & Lea Petrella & Nikos Tzavidis, 2022. "Quantile mixed hidden Markov models for multivariate longitudinal data: An application to children's Strengths and Difficulties Questionnaire scores," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(2), pages 417-448, March.
    33. Zhou, Jie & Song, Xinyuan & Sun, Liuquan, 2020. "Continuous time hidden Markov model for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 179(C).

  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.
    2. Elton G. Aráujo & Julio C. S. Vasconcelos & Denize P. Santos & Edwin M. M. Ortega & Dalton Souza & João P. F. Zanetoni, 2023. "The Zero-Inflated Negative Binomial Semiparametric Regression Model: Application to Number of Failing Grades Data," Annals of Data Science, Springer, vol. 10(4), pages 991-1006, August.
    3. Paola Perchinunno & Massimo Bilancia & Domenico Vitale, 2021. "A Statistical Analysis of Factors Affecting Higher Education Dropouts," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 341-362, August.
    4. Marco Centoni & Vieri Del Panta & Antonello Maruotti & Valentina Raponi, 2019. "Concomitant-Variable Latent-Class Beta Inflated Models to Assess Students’ Performance: An Italian Case Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 7-18, November.
    5. Rita Takács & Szabolcs Takács & Judit T. Kárász & Attila Oláh & Zoltán Horváth, 2023. "The impact of the first wave of COVID-19 on students’ attainment, analysed by IRT modelling method," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    6. Sandra De Iaco & Sabrina Maggio & Donato Posa, 2019. "A Multilevel Multinomial Model for the Dynamics of Graduates Employment in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 149-168, November.
    7. Contini, Dalit & Salza, Guido, 2020. "Too few university graduates. Inclusiveness and effectiveness of the Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    8. Jasmin Meyer & Kathrin Leuze & Susanne Strauss, 2022. "Individual Achievement, Person-Major Fit, or Social Expectations: Why Do Students Switch Majors in German Higher Education?," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(2), pages 222-247, March.
    9. Joana R. Casanova & Adrián Castro-López & Ana B. Bernardo & Leandro S. Almeida, 2023. "The Dropout of First-Year STEM Students: Is It Worth Looking beyond Academic Achievement?," Sustainability, MDPI, vol. 15(2), pages 1-12, January.

  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.

    Cited by:

    1. Samuel López-López & Raúl del Pozo-Rubio & Marta Ortega-Ortega & Francisco Escribano-Sotos, 2021. "Catastrophic Household Expenditure Associated with Out-of-Pocket Healthcare Payments in Spain," IJERPH, MDPI, vol. 18(3), pages 1-18, January.
    2. Dimitris Zavras, 2021. "Feeling Uncertainty during the Lockdown That Commenced in March 2020 in Greece," IJERPH, MDPI, vol. 18(10), pages 1-10, May.
    3. Maria-Carmen García-Centeno & Román Mínguez-Salido & Raúl del Pozo-Rubio, 2021. "The Classification of Profiles of Financial Catastrophe Caused by Out-of-Pocket Payments: A Methodological Approach," Mathematics, MDPI, vol. 9(11), pages 1-20, May.
    4. Yerramilli, Pooja & Fernández, Óscar & Thomson, Sarah, 2018. "Financial protection in Europe: a systematic review of the literature and mapping of data availability," Health Policy, Elsevier, vol. 122(5), pages 493-508.

  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.

    Cited by:

    1. Calamunci, Francesca M., 2020. "What Happens in Criminal Firms after Godfather Management Removal? Judicial Administration and Firms Performance," GLO Discussion Paper Series 698, Global Labor Organization (GLO).

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