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Gema Fernández-Avilés

Personal Details

First Name:Gema
Middle Name:
Last Name:Fernández-Avilés
Suffix:
RePEc Short-ID:pfe299
http://www.uclm.es/profesorado/gemafaviles/

Affiliation

Área de Estadídistica Económica y Empresarial
Departamento de Economía Política y Hacienda Pública, Estadística Económica y Empresarial y Política Económica
Facultad de Ciencias Económicas y Empresariales
Universidad de Castilla La Mancha

Albacete, Spain
http://www.uclm.es/area/estadisticas/

:


RePEc:edi:seclmes (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Fernández-Avilés, G & Montero, JM & Mateu, J, 2011. "Mathematical Genesis of the Spatio-Temporal Covariance Functions," MPRA Paper 35874, University Library of Munich, Germany.

Articles

  1. Córdoba Bueno, Miguel & Fernández-Avilés Calderón, Gema & García Centeno, Mª Carmen, 2015. "¿Se está adentrando el sistema español de pensiones en zona sísmica?/Is the Spanish Pension System Approaching a Seismic Zone?," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 33, pages 735-758, Septiembr.
  2. Montero, José-María & Fernández-Avilés, Gema, 2015. "Functional Kriging Prediction of Pollution Series: The Geostatistical Alternative for Spatially-fixed Data/Predicción de series de contaminación mediante kriging funcional. La alternativa geoestadísti," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 33, pages 145-179, Enero.
  3. Laureti, Tiziana & Montero, José-María & Fernández-Avilés, Gema, 2014. "A local scale analysis on influencing factors of NOx emissions: Evidence from the Community of Madrid, Spain," Energy Policy, Elsevier, vol. 74(C), pages 557-568.
  4. Román Mínguez & José-María Montero & Gema Fernández-Avilés, 2013. "Measuring the impact of pollution on property prices in Madrid: objective versus subjective pollution indicators in spatial models," Journal of Geographical Systems, Springer, vol. 15(2), pages 169-191, April.
  5. Fernández-Avilés, Gema & Montero, Jose-María & Orlov, Alexei G., 2012. "Spatial modeling of stock market comovements," Finance Research Letters, Elsevier, vol. 9(4), pages 202-212.
  6. Gema Fernandez-Aviles & Roman Minguez & Jose-Maria Montero, 2012. "Geostatistical Air Pollution Indexes in Spatial Hedonic Models: The case of Madrid, Spain," Journal of Real Estate Research, American Real Estate Society, vol. 34(2), pages 243-274.
  7. Montero, José M. & García-Centeno, Maria C. & Fernández-Avilés, Gema, 2011. "Modelling the Volatility of the Spanish Wholesale Electricity Spot Market. Asymmetric GARCH Models vs. Threshold ARSV model/Modelización de la volatilidad en el mercado eléctrico español. Modelos GARC," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 29, pages 597-616, Agosto.
  8. Montero, José-María & Fernández-Avilés , Gema & Mínguez, Román, 2011. "Spatial Hedonic Pricing Models for Testing the Adequacy of Acoustic Areas in Madrid, Spain," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 157-181.
  9. José‐María Montero & Gema Fernández‐Avilés & María‐Carmen García, 2010. "Estimation of Asymmetric Stochastic Volatility Models: Application to Daily Average Prices of Energy Products," International Statistical Review, International Statistical Institute, vol. 78(3), pages 330-347, December.
  10. Gema Fernández-Avilés Calderón, 2009. "Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(1), pages 44-58, February.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Laureti, Tiziana & Montero, José-María & Fernández-Avilés, Gema, 2014. "A local scale analysis on influencing factors of NOx emissions: Evidence from the Community of Madrid, Spain," Energy Policy, Elsevier, vol. 74(C), pages 557-568.

    Cited by:

    1. Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, Open Access Journal, vol. 8(3), pages 1-20, March.
    2. Montero, José-María & Fernández-Avilés, Gema, 2015. "Functional Kriging Prediction of Pollution Series: The Geostatistical Alternative for Spatially-fixed Data/Predicción de series de contaminación mediante kriging funcional. La alternativa geoestadísti," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 33, pages 145-179, Enero.
    3. Yong Wang & Guangchun Yang & Ying Dong & Yu Cheng & Peipei Shang, 2018. "The Scale, Structure and Influencing Factors of Total Carbon Emissions from Households in 30 Provinces of China—Based on the Extended STIRPAT Model," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-25, May.

  2. Román Mínguez & José-María Montero & Gema Fernández-Avilés, 2013. "Measuring the impact of pollution on property prices in Madrid: objective versus subjective pollution indicators in spatial models," Journal of Geographical Systems, Springer, vol. 15(2), pages 169-191, April.

    Cited by:

    1. José-María Montero & Román Mínguez & Gema Fernández-Avilés, 2018. "Housing price prediction: parametric versus semi-parametric spatial hedonic models," Journal of Geographical Systems, Springer, vol. 20(1), pages 27-55, January.
    2. Yusep Suparman & Henk Folmer & Johan Oud, 2014. "Hedonic price models with omitted variables and measurement errors: a constrained autoregression–structural equation modeling approach with application to urban Indonesia," Journal of Geographical Systems, Springer, vol. 16(1), pages 49-70, January.

  3. Fernández-Avilés, Gema & Montero, Jose-María & Orlov, Alexei G., 2012. "Spatial modeling of stock market comovements," Finance Research Letters, Elsevier, vol. 9(4), pages 202-212.

    Cited by:

    1. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    2. Liu, Chih-Liang & Yang, Hsin-Feng, 2017. "Systemic risk in carry-trade portfolios," Finance Research Letters, Elsevier, vol. 20(C), pages 40-46.
    3. Tam, Pui Sun, 2014. "A spatial–temporal analysis of East Asian equity market linkages," Journal of Comparative Economics, Elsevier, vol. 42(2), pages 304-327.
    4. Giuseppe Arbia & Michele Di Marcantonio, 2015. "Forecasting Interest Rates Using Geostatistical Techniques," Econometrics, MDPI, Open Access Journal, vol. 3(4), pages 1-28, November.
    5. Milcheva, Stanimira & Zhu, Bing, 2016. "Bank integration and co-movements across housing markets," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 148-171.
    6. Yang, Lixiong & Lee, Chingnun & Shie, Fu Shuen, 2014. "How close a relationship does a capital market have with other markets? A reexamination based on the equal variance test," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 198-226.

  4. Gema Fernandez-Aviles & Roman Minguez & Jose-Maria Montero, 2012. "Geostatistical Air Pollution Indexes in Spatial Hedonic Models: The case of Madrid, Spain," Journal of Real Estate Research, American Real Estate Society, vol. 34(2), pages 243-274.

    Cited by:

    1. Mussa, Abeba & Nwaogu, Uwaoma G. & Pozo, Susan, 2017. "Immigration and housing: A spatial econometric analysis," Journal of Housing Economics, Elsevier, vol. 35(C), pages 13-25.
    2. Qin Fan & J. Andrew Hansz & Xiaoming Yang, 2016. "The Pricing Effects of Open Space Amenities," The Journal of Real Estate Finance and Economics, Springer, vol. 52(3), pages 244-271, April.
    3. Masha Maslianskaia-Pautrel & Catherine Baumont pba148, 2016. "The nature and impacts of environmental spillovers on housing prices: A spatial hedonic analysis," Working Papers 2016.04, FAERE - French Association of Environmental and Resource Economists.
    4. Laureti, Tiziana & Montero, José-María & Fernández-Avilés, Gema, 2014. "A local scale analysis on influencing factors of NOx emissions: Evidence from the Community of Madrid, Spain," Energy Policy, Elsevier, vol. 74(C), pages 557-568.
    5. José-María Montero & Román Mínguez & Gema Fernández-Avilés, 2018. "Housing price prediction: parametric versus semi-parametric spatial hedonic models," Journal of Geographical Systems, Springer, vol. 20(1), pages 27-55, January.

  5. Montero, José-María & Fernández-Avilés , Gema & Mínguez, Román, 2011. "Spatial Hedonic Pricing Models for Testing the Adequacy of Acoustic Areas in Madrid, Spain," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 157-181.

    Cited by:

    1. José-María Montero & Román Mínguez & Gema Fernández-Avilés, 2018. "Housing price prediction: parametric versus semi-parametric spatial hedonic models," Journal of Geographical Systems, Springer, vol. 20(1), pages 27-55, January.

  6. José‐María Montero & Gema Fernández‐Avilés & María‐Carmen García, 2010. "Estimation of Asymmetric Stochastic Volatility Models: Application to Daily Average Prices of Energy Products," International Statistical Review, International Statistical Institute, vol. 78(3), pages 330-347, December.

    Cited by:

    1. Lopes Moreira Da Veiga, María Helena & Ruiz Ortega, Esther & Mao, Xiuping, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Montero, José M. & García-Centeno, Maria C. & Fernández-Avilés, Gema, 2011. "Modelling the Volatility of the Spanish Wholesale Electricity Spot Market. Asymmetric GARCH Models vs. Threshold ARSV model/Modelización de la volatilidad en el mercado eléctrico español. Modelos GARC," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 29, pages 597-616, Agosto.
    3. Mao, Xiuping & Ruiz, Esther & Veiga, Helena, 2017. "Threshold stochastic volatility: Properties and forecasting," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1105-1123.

  7. Gema Fernández-Avilés Calderón, 2009. "Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(1), pages 44-58, February.

    Cited by:

    1. Mohamed Amara & Mohamed Ayadi, 2011. "Local Employment Growth in the Coastal Area of Tunisia: A Dynamic Spatial Panel Approach," Working Papers 650, Economic Research Forum, revised 12 Jan 2011.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2012-01-25. Author is listed
  2. NEP-URE: Urban & Real Estate Economics (1) 2012-01-25. Author is listed

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