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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. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.

  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. 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.
    2. Manh-Hung Nguyen, 2021. "A Resilient Energy System to Climate change," Post-Print hal-04044554, HAL.
    3. 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).
    4. 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.
    5. 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).
    6. 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.
    7. 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).
    8. 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).
    9. Bigerna, Simona, 2018. "Estimating temperature effects on the Italian electricity market," Energy Policy, Elsevier, vol. 118(C), pages 257-269.
    10. Tang, Wenliang & Yang, Mian & Duan, Hongbo, 2023. "Temperature and corporate tax avoidance: Evidence from Chinese manufacturing firms," Energy Economics, Elsevier, vol. 117(C).
    11. 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.
    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. Hubert Jayet & Glenn Rayp & Ilse Ruyssen & Nadiya Ukrayinchuk, 2014. "Immigrants' location choice in Belgium," Working Papers hal-01006864, HAL.
    2. 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.
    3. Fernández-Huertas Moraga, Jesús & Ferrer-i-Carbonell, Ada & Saiz, Albert, 2017. "Immigrant Locations and Native Residential Preferences: Emerging Ghettos or New Communities?," IZA Discussion Papers 11143, Institute of Labor Economics (IZA).
    4. 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.
    5. David C. Ribar, 2013. "Immigrants’ time use: a survey of methods and evidence," Chapters, in: Amelie F. Constant & Klaus F. Zimmermann (ed.), International Handbook on the Economics of Migration, chapter 20, pages 373-392, Edward Elgar Publishing.

  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. 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.
    2. 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.

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. 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.
    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. 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.
    6. 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).
    7. 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).
    8. 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).

  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. 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).
    2. 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.

  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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. Colelli, Francesco Pietro & Wing, Ian Sue & De Cian, Enrica, 2023. "Intensive and extensive margins of the peak load: Measuring adaptation with mixed frequency panel data," Energy Economics, Elsevier, vol. 126(C).
    7. 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).
    8. 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).
    9. Mohammed, Nooriya A., 2018. "Modelling of unsuppressed electrical demand forecasting in Iraq for long term," Energy, Elsevier, vol. 162(C), pages 354-363.
    10. 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.
    11. 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).
    12. 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. 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.
    2. van Ours, Jan C. & Picchio, Matteo, 2015. "Gender and the Effect of Working Hours on Firm-Sponsored Training," CEPR Discussion Papers 10930, C.E.P.R. Discussion Papers.
    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.
    4. Picchio, Matteo & van Ours, Jan, 2015. "Gender and the Effect of Working Hours on Firm-Sponsored Training," Other publications TiSEM 4e4080c4-aacf-4ac3-bfb2-2, Tilburg University, School of Economics and Management.

  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. Isaure Delaporte & Hill Kulu, 2024. "Family Formation and Employment Changes Among Descendants of Immigrants in France: A Multiprocess Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 40(1), pages 1-77, 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. 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.
    4. 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).
    5. 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.
    6. 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.
    7. Tibor Hanappi & Sandra Müllbacher, 2012. "Tax Incentives and Family Labor Supply in Austria," NRN working papers 2012-12, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    8. Chloé Duvivier & Mathieu Narcy, 2015. "The Motherhood Wage Penalty and Its Determinants: A Public-Private Comparison," Post-Print hal-02370228, HAL.
    9. 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.
    10. 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.
    11. Barbieri, Teresa & Bavaro, Michele & Cirillo, Valeria, 2024. "Trapped in the care burden: occupational downward mobility of Italian couples after childbirth," GLO Discussion Paper Series 1475, Global Labor Organization (GLO).
    12. 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.

  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. 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.
    2. Janine Berg (ed.), 2015. "Labour Markets, Institutions and Inequality," Books, Edward Elgar Publishing, number 16143.
    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. 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).
    5. 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.

  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. 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.
    2. 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.
    3. Koh, Rachel & Kern, Jordan & Galelli, Stefano, 2022. "Hard-coupling water and power system models increases the complementarity of renewable energy sources," Applied Energy, Elsevier, vol. 321(C).
    4. Agarwal, Sumit & Satyanarain, Rengarajan & Sing, Tien Foo & Vollmer, Derek, 2016. "Effects of construction activities on residential electricity consumption: Evidence from Singapore's public housing estates," Energy Economics, Elsevier, vol. 55(C), pages 101-111.
    5. Wang, Qiang & Lin, Jian & Zhou, Kan & Fan, Jie & Kwan, Mei-Po, 2020. "Does urbanization lead to less residential energy consumption? A comparative study of 136 countries," Energy, Elsevier, vol. 202(C).
    6. Yau, Y.H. & Pean, H.L., 2011. "The climate change impact on air conditioner system and reliability in Malaysia—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4939-4949.
    7. Nawaz, Saima & Iqbal, Nasir & Anwar, Saba, 2014. "Modelling electricity demand using the STAR (Smooth Transition Auto-Regressive) model in Pakistan," Energy, Elsevier, vol. 78(C), pages 535-542.
    8. Santágata, Daniela M. & Castesana, Paula & Rössler, Cristina E. & Gómez, Darío R., 2017. "Extreme temperature events affecting the electricity distribution system of the metropolitan area of Buenos Aires (1971–2013)," Energy Policy, Elsevier, vol. 106(C), pages 404-414.
    9. Miller, Reid & Golab, Lukasz & Rosenberg, Catherine, 2017. "Modelling weather effects for impact analysis of residential time-of-use electricity pricing," Energy Policy, Elsevier, vol. 105(C), pages 534-546.
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