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Julian Moral Carcedo

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. Pérez García, Julián & Moral Carcedo, Julián, 2015. "Analysis and long term forecasting of electricity demand through a decomposition model: A case study for Spain," Working Papers in Economic Theory 2015/07, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

    Cited by:

    1. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    2. Deguo Su & Beibei Tan & Anbing Zhang & Yikai Hou, 2023. "Analysis of the Influencing Factors of Power Demand in Beijing Based on the LMDI Model," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    3. Alexopoulos, Thomas A., 2017. "The growing importance of natural gas as a predictor for retail electricity prices in US," Energy, Elsevier, vol. 137(C), pages 219-233.
    4. David I. Okorie, 2021. "A network analysis of electricity demand and the cryptocurrency markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3093-3108, April.
    5. Nunes, Juliana Barbosa & Mahmoudi, Nadali & Saha, Tapan Kumar & Chattopadhyay, Debabrata, 2018. "A stochastic integrated planning of electricity and natural gas networks for Queensland, Australia considering high renewable penetration," Energy, Elsevier, vol. 153(C), pages 539-553.
    6. Yi Liang & Dongxiao Niu & Ye Cao & Wei-Chiang Hong, 2016. "Analysis and Modeling for China’s Electricity Demand Forecasting Using a Hybrid Method Based on Multiple Regression and Extreme Learning Machine: A View from Carbon Emission," Energies, MDPI, vol. 9(11), pages 1-22, November.
    7. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    8. Atul Anand & L Suganthi, 2018. "Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand," Energies, MDPI, vol. 11(4), pages 1-15, March.
    9. Jinchai Lin & Kaiwei Zhu & Zhen Liu & Jenny Lieu & Xianchun Tan, 2019. "Study on A Simple Model to Forecast the Electricity Demand under China’s New Normal Situation," Energies, MDPI, vol. 12(11), pages 1-28, June.
    10. García-Gusano, Diego & Suárez-Botero, Jasson & Dufour, Javier, 2018. "Long-term modelling and assessment of the energy-economy decoupling in Spain," Energy, Elsevier, vol. 151(C), pages 455-466.
    11. Shao, Zhen & Chao, Fu & Yang, Shan-Lin & Zhou, Kai-Le, 2017. "A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 123-136.
    12. Angelopoulos, Dimitrios & Siskos, Yannis & Psarras, John, 2019. "Disaggregating time series on multiple criteria for robust forecasting: The case of long-term electricity demand in Greece," European Journal of Operational Research, Elsevier, vol. 275(1), pages 252-265.
    13. Santos, Maria João & Ferreira, Paula & Araújo, Madalena, 2016. "A methodology to incorporate risk and uncertainty in electricity power planning," Energy, Elsevier, vol. 115(P2), pages 1400-1411.
    14. Shi, Kaifang & Yu, Bailang & Huang, Chang & Wu, Jianping & Sun, Xiufeng, 2018. "Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road," Energy, Elsevier, vol. 150(C), pages 847-859.
    15. Oscar Trull & Angel Peiró-Signes & J. Carlos García-Díaz, 2019. "Electricity Forecasting Improvement in a Destination Using Tourism Indicators," Sustainability, MDPI, vol. 11(13), pages 1-16, July.
    16. Fan, Jing-Li & Hu, Jia-Wei & Zhang, Xian, 2019. "Impacts of climate change on electricity demand in China: An empirical estimation based on panel data," Energy, Elsevier, vol. 170(C), pages 880-888.
    17. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
    18. Chi Zhang & Zhengning Pu & Jiasha Fu, 2018. "The Recurrence Interval Difference of Power Load in Heavy/Light Industries of China," Energies, MDPI, vol. 11(1), pages 1-20, January.
    19. Akbal, Yıldırım & Ünlü, Kamil Demirberk, 2022. "A univariate time series methodology based on sequence-to-sequence learning for short to midterm wind power production," Renewable Energy, Elsevier, vol. 200(C), pages 832-844.
    20. Rafael Sánchez-Durán & Joaquín Luque & Julio Barbancho, 2019. "Long-Term Demand Forecasting in a Scenario of Energy Transition," Energies, MDPI, vol. 12(16), pages 1-23, August.
    21. Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.
    22. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
    23. Pedro J. Zarco-Periñán & Irene M. Zarco-Soto & Fco. Javier Zarco-Soto, 2021. "Influence of the Population Density of Cities on Energy Consumption of Their Households," Sustainability, MDPI, vol. 13(14), pages 1-15, July.
    24. Santiago, I. & Moreno-Munoz, A. & Quintero-Jiménez, P. & Garcia-Torres, F. & Gonzalez-Redondo, M.J., 2021. "Electricity demand during pandemic times: The case of the COVID-19 in Spain," Energy Policy, Elsevier, vol. 148(PA).
    25. Moral-Carcedo, Julián & Pérez-García, Julián, 2017. "Integrating long-term economic scenarios into peak load forecasting: An application to Spain," Energy, Elsevier, vol. 140(P1), pages 682-695.
    26. Ribó-Pérez, David & Van der Weijde, Adriaan H. & Álvarez-Bel, Carlos, 2019. "Effects of self-generation in imperfectly competitive electricity markets: The case of Spain," Energy Policy, Elsevier, vol. 133(C).
    27. Kaboli, S. Hr. Aghay & Selvaraj, J. & Rahim, N.A., 2016. "Long-term electric energy consumption forecasting via artificial cooperative search algorithm," Energy, Elsevier, vol. 115(P1), pages 857-871.

  2. Moral Carcedo, Julián & Pérez García, Julián, 2015. "Temperature Effects on Firms’ Electricity Demand: An Analysis of Sectorial Differences in Spain," Working Papers in Economic Theory 2015/01, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

    Cited by:

    1. Lu, Xin & Qiu, Jing & Lei, Gang & Zhu, Jianguo, 2022. "Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia," Applied Energy, Elsevier, vol. 308(C).
    2. Trull, Oscar & García-Díaz, J. Carlos & Troncoso, Alicia, 2021. "One-day-ahead electricity demand forecasting in holidays using discrete-interval moving seasonalities," Energy, Elsevier, vol. 231(C).
    3. Bigerna, Simona, 2018. "Estimating temperature effects on the Italian electricity market," Energy Policy, Elsevier, vol. 118(C), pages 257-269.
    4. Anukoolthamchote, Pam Chasuta & Assané, Djeto & Konan, Denise Eby, 2020. "Net electricity load profiles: Shape and variability considering customer-mix at transformers on the island of Oahu, Hawai'i," Energy Policy, Elsevier, vol. 147(C).
    5. Ang, B.W. & Wang, H. & Ma, Xiaojing, 2017. "Climatic influence on electricity consumption: The case of Singapore and Hong Kong," Energy, Elsevier, vol. 127(C), pages 534-543.
    6. Tang, Wenliang & Yang, Mian & Duan, Hongbo, 2023. "Temperature and corporate tax avoidance: Evidence from Chinese manufacturing firms," Energy Economics, Elsevier, vol. 117(C).
    7. Mosquera-López, Stephanía & Uribe, Jorge M. & Manotas-Duque, Diego F., 2018. "Effect of stopping hydroelectric power generation on the dynamics of electricity prices: An event study approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 456-467.
    8. Zheng, Shuguang & Huang, Guohe & Zhou, Xiong & Zhu, Xiaohang, 2020. "Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 261(C).
    9. Lanlan Li & Xinpei Song & Jingjing Li & Ke Li & Jianling Jiao, 2023. "The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?," Climatic Change, Springer, vol. 176(3), pages 1-26, March.
    10. Manh-Hung Nguyen, 2021. "A Resilient Energy System to Climate change," Post-Print hal-04044554, HAL.
    11. Mukherjee, Sayanti & Vineeth, C.R. & Nateghi, Roshanak, 2019. "Evaluating regional climate-electricity demand nexus: A composite Bayesian predictive framework," Applied Energy, Elsevier, vol. 235(C), pages 1561-1582.
    12. Moral-Carcedo, Julián & Pérez-García, Julián, 2017. "Integrating long-term economic scenarios into peak load forecasting: An application to Spain," Energy, Elsevier, vol. 140(P1), pages 682-695.

  3. Blázquez, Maite & Llorente, Raquel & Moral Carcedo, Julian, 2009. "Minimum Wage and Youth Employment Rates in Spain: New Evidence for the Period 2000-2008," Working Papers in Economic Theory 2009/02, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

    Cited by:

    1. Ahmad Jafari Samimi, 2011. "Minimum Wage and Youth Employment The Case Study of Iran's Manufacturing Industries," Journal of Education and Vocational Research, AMH International, vol. 1(2), pages 38-43.

  4. Blázquez, Maite & Llano, Carlos & Moral Carcedo, Julian, 2008. "Commuting times: Is there any penalty for immigrants?," Working Papers in Economic Theory 2008/05, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

    Cited by:

    1. Ribar, David C., 2012. "Immigrants' Time Use: A Survey of Methods and Evidence," IZA Discussion Papers 6931, Institute of Labor Economics (IZA).
    2. Daniel Chatman, 2014. "Explaining the “immigrant effect” on auto use: the influences of neighborhoods and preferences," Transportation, Springer, vol. 41(3), pages 441-461, May.
    3. Fernández-Huertas Moraga, Jesús & Ferrer-i-Carbonell, Ada & Saiz, Albert, 2019. "Immigrant locations and native residential preferences: Emerging ghettos or new communities?," Journal of Urban Economics, Elsevier, vol. 112(C), pages 133-151.
    4. Hubert JAYET & Glenn RAYP & Ilse RUYSSEN & Nadiya UKRAYINCHUK, 2014. "Immigrants’ location choice in Belgium," LIDAM Discussion Papers IRES 2014004, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. K. Bruce Newbold & Darren M. Scott & Charles Burke, 2017. "Immigrant status and commute distance: an exploratory study based on the greater Golden Horseshoe," Transportation, Springer, vol. 44(1), pages 181-198, January.

  5. Blázquez, Maite & Moral Carcedo, Julian, 2008. "Maternity and working life: reconsidering the effectiveness of part-time employment," Working Papers in Economic Theory 2008/07, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

    Cited by:

  6. Herrarte, Ainhoa & Moral Carcedo, Julian & Sáez, Felipe, 2007. "The Effect of Fertility on the Decision of Abandoning the Labour Market: The Case of Spain," Working Papers in Economic Theory 2007/11, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

    Cited by:

    1. Fernández-Kranz Daniel & Aitor Lacuesta & Núria Rodríguez-Planas, 2013. "The Motherhood Earnings Dip: Evidence from Administrative Records," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 169-197.

  7. Herrarte, Ainhoa & Moral Carcedo, Julian & Sanchez-Romero, Miguel, 2006. "Desempleo, búsqueda y políticas activas," Working Papers in Economic Theory 2006/04, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

    Cited by:

    1. Karl BRENKE & Ulf RINNE & Klaus F. ZIMMERMANN, 2013. "Short-time work: The German answer to the Great Recession," International Labour Review, International Labour Organization, vol. 152(2), pages 287-305, June.
    2. José María ARRANZ & Carlos GARCÍA SERRANO & Virginia HERNANZ, 2013. "Active labour market policies in Spain: A macroeconomic evaluation," International Labour Review, International Labour Organization, vol. 152(2), pages 327-348, June.

Articles

  1. Moral-Carcedo, Julián & Pérez-García, Julián, 2019. "Time of day effects of temperature and daylight on short term electricity load," Energy, Elsevier, vol. 174(C), pages 169-183.

    Cited by:

    1. José Rubio-León & José Rubio-Cienfuegos & Cristian Vidal-Silva & Jesennia Cárdenas-Cobo & Vannessa Duarte, 2023. "Applying Fuzzy Time Series for Developing Forecasting Electricity Demand Models," Mathematics, MDPI, vol. 11(17), pages 1-18, August.
    2. Trull, Oscar & García-Díaz, J. Carlos & Troncoso, Alicia, 2021. "One-day-ahead electricity demand forecasting in holidays using discrete-interval moving seasonalities," Energy, Elsevier, vol. 231(C).
    3. Miguel López & Sergio Valero & Carlos Sans & Carolina Senabre, 2020. "Use of Available Daylight to Improve Short-Term Load Forecasting Accuracy," Energies, MDPI, vol. 14(1), pages 1-14, December.
    4. Chabouni, Naima & Belarbi, Yacine & Benhassine, Wassim, 2020. "Electricity load dynamics, temperature and seasonality Nexus in Algeria," Energy, Elsevier, vol. 200(C).
    5. Jasiński, Tomasz, 2020. "Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach," Energy, Elsevier, vol. 213(C).
    6. Santiago, I. & Moreno-Munoz, A. & Quintero-Jiménez, P. & Garcia-Torres, F. & Gonzalez-Redondo, M.J., 2021. "Electricity demand during pandemic times: The case of the COVID-19 in Spain," Energy Policy, Elsevier, vol. 148(PA).
    7. Derumigny Alexis & Fermanian Jean-David, 2019. "On kernel-based estimation of conditional Kendall’s tau: finite-distance bounds and asymptotic behavior," Dependence Modeling, De Gruyter, vol. 7(1), pages 292-321, January.
    8. Alfredo Candela Esclapez & Miguel López García & Sergio Valero Verdú & Carolina Senabre Blanes, 2022. "Automatic Selection of Temperature Variables for Short-Term Load Forecasting," Sustainability, MDPI, vol. 14(20), pages 1-22, October.

  2. Julián Pérez-García & Julián Moral-Carcedo, 2017. "Why Electricity Demand Is Highly Income-Elastic in Spain: A Cross-Country Comparison Based on an Index-Decomposition Analysis," Energies, MDPI, vol. 10(3), pages 1-20, March.

    Cited by:

    1. Monika Sipa & Iwona Gorzeń-Mitka, 2021. "Assessment of the Progress towards the Management of Renewable Energy Consumption in the Innovativeness Context—A Country Approach," Energies, MDPI, vol. 14(16), pages 1-21, August.
    2. Santiago, I. & Moreno-Munoz, A. & Quintero-Jiménez, P. & Garcia-Torres, F. & Gonzalez-Redondo, M.J., 2021. "Electricity demand during pandemic times: The case of the COVID-19 in Spain," Energy Policy, Elsevier, vol. 148(PA).

  3. Moral-Carcedo, Julián & Pérez-García, Julián, 2017. "Integrating long-term economic scenarios into peak load forecasting: An application to Spain," Energy, Elsevier, vol. 140(P1), pages 682-695.

    Cited by:

    1. Jannik Schütz Roungkvist & Peter Enevoldsen & George Xydis, 2020. "High-Resolution Electricity Spot Price Forecast for the Danish Power Market," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    2. Pedregal, Diego J. & Trapero, Juan R., 2021. "Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance," Applied Energy, Elsevier, vol. 298(C).
    3. Moral-Carcedo, Julián & Pérez-García, Julián, 2019. "Time of day effects of temperature and daylight on short term electricity load," Energy, Elsevier, vol. 174(C), pages 169-183.
    4. Mohammed, Nooriya A., 2018. "Modelling of unsuppressed electrical demand forecasting in Iraq for long term," Energy, Elsevier, vol. 162(C), pages 354-363.
    5. Huang, Yanmei & Hasan, Najmul & Deng, Changrui & Bao, Yukun, 2022. "Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting," Energy, Elsevier, vol. 239(PC).
    6. Swasti R. Khuntia & Jose L. Rueda & Mart A.M.M. Van der Meijden, 2018. "Long-Term Electricity Load Forecasting Considering Volatility Using Multiplicative Error Model," Energies, MDPI, vol. 11(12), pages 1-19, November.
    7. Fu, Xin & Zeng, Xiao-Jun & Feng, Pengpeng & Cai, Xiuwen, 2018. "Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China," Energy, Elsevier, vol. 165(PB), pages 76-89.
    8. Chapaloglou, Spyridon & Nesiadis, Athanasios & Iliadis, Petros & Atsonios, Konstantinos & Nikolopoulos, Nikos & Grammelis, Panagiotis & Yiakopoulos, Christos & Antoniadis, Ioannis & Kakaras, Emmanuel, 2019. "Smart energy management algorithm for load smoothing and peak shaving based on load forecasting of an island’s power system," Applied Energy, Elsevier, vol. 238(C), pages 627-642.
    9. Kalhori, M. Rostam Niakan & Emami, I. Taheri & Fallahi, F. & Tabarzadi, M., 2022. "A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting," Applied Energy, Elsevier, vol. 314(C).
    10. Kazemzadeh, Mohammad-Rasool & Amjadian, Ali & Amraee, Turaj, 2020. "A hybrid data mining driven algorithm for long term electric peak load and energy demand forecasting," Energy, Elsevier, vol. 204(C).
    11. Li, Jinghua & Luo, Yichen & Wei, Shanyang, 2022. "Long-term electricity consumption forecasting method based on system dynamics under the carbon-neutral target," Energy, Elsevier, vol. 244(PA).

  4. Pérez-García, Julián & Moral-Carcedo, Julián, 2016. "Analysis and long term forecasting of electricity demand trough a decomposition model: A case study for Spain," Energy, Elsevier, vol. 97(C), pages 127-143.
    See citations under working paper version above.
  5. Moral-Carcedo, Julián & Pérez-García, Julián, 2015. "Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain," Applied Energy, Elsevier, vol. 142(C), pages 407-425.
    See citations under working paper version above.
  6. Maite BLÁZQUEZ CUESTA & Julián MORAL CARCEDO, 2014. "Women's part-time jobs: “Flexirisky” employment in five European countries," International Labour Review, International Labour Organization, vol. 153(2), pages 269-292, June.

    Cited by:

    1. Picchio, Matteo & van Ours, Jan C., 2015. "Gender and the Effect of Working Hours on Firm-Sponsored Training," IZA Discussion Papers 9470, Institute of Labor Economics (IZA).
    2. Tatiana Karabchuk, 2016. "The subjective well-being of women in Europe: children, work and employment protection legislation," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 15(2), pages 219-245, November.
    3. María Navarro & Wiemer Salverda, 2019. "Earner Position and Job and Life Satisfaction: Do Contributions to the Household Income have the Same Effect by Gender and Occupations?," Journal of Happiness Studies, Springer, vol. 20(7), pages 2227-2250, October.

  7. Ainhoa Herrarte & Julián Moral-Carcedo & Felipe Sáez, 2012. "The impact of childbirth on Spanish women’s decisions to leave the labor market," Review of Economics of the Household, Springer, vol. 10(3), pages 441-468, September.

    Cited by:

    1. Mayssun El-Attar, 2013. "Trust, child care technology choice and female labor force participation," Review of Economics of the Household, Springer, vol. 11(4), pages 507-544, December.
    2. María Davia & Nuria Legazpe, 2015. "Educational attainment and maternity in Spain: not only “when” but also “how”," Review of Economics of the Household, Springer, vol. 13(4), pages 871-900, December.
    3. Tibor Paul Hanappi & Sandra Müllbacher, 2016. "Tax incentives and family labor supply in Austria," Review of Economics of the Household, Springer, vol. 14(4), pages 961-987, December.
    4. Chloé Duvivier & Mathieu Narcy, 2015. "The Motherhood Wage Penalty and Its Determinants: A Public–Private Comparison," LABOUR, CEIS, vol. 29(4), pages 415-443, December.
    5. María Davia & Nuria Legazpe, 2014. "Determinants of Employment Decisions After the First Child Birth in Spain," Journal of Family and Economic Issues, Springer, vol. 35(2), pages 214-227, June.
    6. Lorenzo Escot & José Fernández-Cornejo & Carlos Poza, 2014. "Fathers’ Use of Childbirth Leave in Spain. The Effects of the 13-Day Paternity Leave," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(3), pages 419-453, June.
    7. Machů, Vendula & Veldman, Karin & Arends, Iris & Bültmann, Ute, 2022. "Work-family trajectories in young adulthood: Associations with mental health problems in adolescence," Social Science & Medicine, Elsevier, vol. 314(C).
    8. Fazeer Rahim, 2014. "Work-family attitudes and career interruptions due to childbirth," Review of Economics of the Household, Springer, vol. 12(1), pages 177-205, March.
    9. María Suárez, 2013. "Working mothers’ decisions on childcare: the case of Spain," Review of Economics of the Household, Springer, vol. 11(4), pages 545-561, December.
    10. Pınar Mine Güneş, 2016. "The effects of teenage childbearing on long-term health in the US: a twin-fixed-effects approach," Review of Economics of the Household, Springer, vol. 14(4), pages 891-920, December.

  8. Maite Blázquez Cuesta & Raquel Llorente Heras & Julián Moral Carcedo, 2011. "Minimum Wage And Youth Employment Rates, 2000-2008," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(2), pages 35-57, Autumn.

    Cited by:

    1. Gerhard Reinecke & Damian Grimshaw, 2015. "Labour market inequality between youth and adults: a special case?," Chapters, in: Janine Berg (ed.), Labour Markets, Institutions and Inequality, chapter 14, pages 361-398, Edward Elgar Publishing.
    2. Tomas Kucera, 2020. "Are Employment Effects of Minimum Wage the Same Across the EU? A Meta-Regression Analysis," Working Papers IES 2020/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2020.
    3. Grimshaw, Damian., 2014. "At work but earning less : trends in decent pay and minimum wages for young people," ILO Working Papers 994862833402676, International Labour Organization.
    4. Janine Berg (ed.), 2015. "Labour Markets, Institutions and Inequality," Books, Edward Elgar Publishing, number 16143.
    5. Jiménez Martínez, Mónica & Jiménez Martínez, Maribel, 2021. "Are the effects of minimum wage on the labour market the same across countries? A meta-analysis spanning a century," Economic Systems, Elsevier, vol. 45(1).

  9. Maite Blázquez & Carlos Llano & Julian Moral, 2010. "Commuting Times: Is There Any Penalty for Immigrants?," Urban Studies, Urban Studies Journal Limited, vol. 47(8), pages 1663-1686, July.
    See citations under working paper version above.
  10. Julián Moral Carcedo, 2008. "Restricciones al endeudamiento: una propuesta de análisis a partir del diferencial entre el ratio de rentabilidad del activo y el coste de la deuda," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 31(85), pages 107-128, Enero-Abr.

    Cited by:

    1. Cuesta, Lizeth, 2020. "Efecto del crecimiento demográfico en la deuda externa. Estudio para países sudamericanos usando un análisis de cointegración [Effect of population growth on external debt. Study for South American," MPRA Paper 111041, University Library of Munich, Germany, revised 11 Apr 2021.

  11. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.

    Cited by:

    1. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
    2. Hirano, Y. & Fujita, T., 2012. "Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo," Energy, Elsevier, vol. 37(1), pages 371-383.
    3. Qiucheng Li & Jiang Hu & Bolin Yu, 2021. "Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China," Energies, MDPI, vol. 14(13), pages 1-17, June.
    4. van der Wiel, K. & Stoop, L.P. & van Zuijlen, B.R.H. & Blackport, R. & van den Broek, M.A. & Selten, F.M., 2019. "Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 261-275.
    5. Enrica De Cian & Elisa Lanzi & Roberto Roson, 2007. "The Impact of Temperature Change on Energy Demand: A Dynamic Panel Analysis," Working Papers 2007.46, Fondazione Eni Enrico Mattei.
    6. Do, Linh Phuong Catherine & Lin, Kuan-Heng & Molnár, Peter, 2016. "Electricity consumption modelling: A case of Germany," Economic Modelling, Elsevier, vol. 55(C), pages 92-101.
    7. Christian Huurman & Francesco Ravazzolo & Chen Zhou, 2008. "The power of weather. Some empirical evidence on predicting day-ahead power prices through weather forecasts," Working Paper 2008/08, Norges Bank.
    8. Lee, Chien-Chiang & Chang, Chun-Ping, 2007. "The impact of energy consumption on economic growth: Evidence from linear and nonlinear models in Taiwan," Energy, Elsevier, vol. 32(12), pages 2282-2294.
    9. Bredin, Don & Muckley, Cal, 2011. "An emerging equilibrium in the EU emissions trading scheme," Energy Economics, Elsevier, vol. 33(2), pages 353-362, March.
    10. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    11. Aneta Wlodarczyk & Marcin Zawada, 2009. "The Use of Weather Variables in the Modeling of Demand for Electricity in One of the Regions in the Southern Poland," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 99-110.
    12. Mohd Arshad Ansari & Pushp Kumar & Muhammed Ashiq Villanthenkodath, 2023. "Impact of renewable and non-renewable electricity generation on economic growth in India: an application of linear and nonlinear models," Journal of Regulatory Economics, Springer, vol. 63(3), pages 138-158, June.
    13. Gupta, Eshita, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A semi-parametric variable coefficient approach," Energy Economics, Elsevier, vol. 34(5), pages 1407-1421.
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