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F Javier Otamendi

Biographic Data

ID5986618
NAMEF Javier Otamendi
GIVEN NAMESF Javier
FAMILY NAMEOtamendi
SIGNATUREOTAMENDI F J
AFFILIATIONSUniversidad Rey Juan Carlos
ORCID0000-0001-6064-2724
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS12
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2020
H-INDEX2
  • Scientific careers and the mobility of European researchers

    Open Access•Carolina Cañibano, Pablo D’Este et al.•ARTICLE•Higher Education•2020

  • Meeting Expectations at the 2016 Rio Olympic Games

    Open Access•F Javier Otamendi, Luis Miguel Doncel et al.•ARTICLE•Social Science Quarterly•2020•References: 58

    Objective Develop a framework to measure the extent to which countries meet their performance expectations at major sporting events using economists, experts, and fan knowledge. Method Long‐term expectations based on socioeconomic potential are calculated using sport‐agnostic econometric modeling. Short‐term expectations based on performance and competitiveness are calculated using betting odds, which incorporate both expert knowledge and “wisdom…

  • Can Economists Beat Sport Experts? Analysis of Medal Predictions for Sochi 2014

    Open Access•F Javier Otamendi, Luis Miguel Doncel•ARTICLE•Social Science Quarterly•2018•Cited by: 3•References: 25

    Objective The predictive power of expert knowledge and econometric modeling is analyzed using predictions of results at the 2014 Sochi Winter Olympic Games. Method Forecasts by five sport experts and three sport‐agnostic economists are compared at the country level by medal color and by sport. Success ratios and correlation coefficients are used to make these comparisons. Results Experts beat economists, although both indicators are always above …

  • Isochrones as Indicators of the Influence of Traffic in Public Health

    Open Access•F Javier Otamendi, David García-Heredia•ARTICLE•International Journal of…•2015

    It is well known that excessive rescue times after traffic accidents negatively affect the health of those injured. There is a need to quantitatively measure the impact of unexpected events like ambulance availability, weather, floating population and congestion in those rescue times. A family of indicators based on isochrones is disguised and proposed to understand the risk of the whole population as the probability of not being assisted on time…

  • Medal Shares in Winter Olympic Games by Sport

    Open Access•F Javier Otamendi, Javier Otamendi et al.•ARTICLE•Social Science Quarterly•2014•Cited by: 9•References: 12

    Objectives The quantitative analysis of the medal shares (MSs) in recent Winter Olympic history by sport and country will identify the relevant socioeconomic factors that are likely to derive policy issues. Methods Econometric modeling and concentration indices are used to predict and assess MSs by sport and country. The development of a mathematical routine to convert MSs to counts and the proposal of a modified Herfindahl index has added robust…

  • Medal Shares in Winter Olympic Games by Sport

    Open Access•F Javier Otamendi, Javier Otamendi et al.•ARTICLE•Social Science Quarterly•2014•Cited by: 9•References: 12

    Objectives The quantitative analysis of the medal shares (MSs) in recent Winter Olympic history by sport and country will identify the relevant socioeconomic factors that are likely to derive policy issues. Methods Econometric modeling and concentration indices are used to predict and assess MSs by sport and country. The development of a mathematical routine to convert MSs to counts and the proposal of a modified Herfindahl index has added robust…

  • Can Economists Beat Sport Experts? Analysis of Medal Predictions for Sochi 2014

    Open Access•F Javier Otamendi, Luis Miguel Doncel•ARTICLE•Social Science Quarterly•2018•Cited by: 3•References: 25

    Objective The predictive power of expert knowledge and econometric modeling is analyzed using predictions of results at the 2014 Sochi Winter Olympic Games. Method Forecasts by five sport experts and three sport‐agnostic economists are compared at the country level by medal color and by sport. Success ratios and correlation coefficients are used to make these comparisons. Results Experts beat economists, although both indicators are always above …

  • Medal Shares in Winter Olympic Games by Sport

    Open Access•F Javier Otamendi, Javier Otamendi et al.•ARTICLE•Social Science Quarterly•2014•Cited by: 9•References: 12

    Objectives The quantitative analysis of the medal shares (MSs) in recent Winter Olympic history by sport and country will identify the relevant socioeconomic factors that are likely to derive policy issues. Methods Econometric modeling and concentration indices are used to predict and assess MSs by sport and country. The development of a mathematical routine to convert MSs to counts and the proposal of a modified Herfindahl index has added robust…

  • Isochrones as Indicators of the Influence of Traffic in Public Health

    Open Access•F Javier Otamendi, David García-Heredia•ARTICLE•International Journal of…•2015

    It is well known that excessive rescue times after traffic accidents negatively affect the health of those injured. There is a need to quantitatively measure the impact of unexpected events like ambulance availability, weather, floating population and congestion in those rescue times. A family of indicators based on isochrones is disguised and proposed to understand the risk of the whole population as the probability of not being assisted on time…

  • Can Economists Beat Sport Experts? Analysis of Medal Predictions for Sochi 2014

    Open Access•F Javier Otamendi, Luis Miguel Doncel•ARTICLE•Social Science Quarterly•2018•Cited by: 3•References: 25

    Objective The predictive power of expert knowledge and econometric modeling is analyzed using predictions of results at the 2014 Sochi Winter Olympic Games. Method Forecasts by five sport experts and three sport‐agnostic economists are compared at the country level by medal color and by sport. Success ratios and correlation coefficients are used to make these comparisons. Results Experts beat economists, although both indicators are always above …

  • Scientific careers and the mobility of European researchers

    Open Access•Carolina Cañibano, Pablo D’Este et al.•ARTICLE•Higher Education•2020

  • Meeting Expectations at the 2016 Rio Olympic Games

    Open Access•F Javier Otamendi, Luis Miguel Doncel et al.•ARTICLE•Social Science Quarterly•2020•References: 58

    Objective Develop a framework to measure the extent to which countries meet their performance expectations at major sporting events using economists, experts, and fan knowledge. Method Long‐term expectations based on socioeconomic potential are calculated using sport‐agnostic econometric modeling. Short‐term expectations based on performance and competitiveness are calculated using betting odds, which incorporate both expert knowledge and “wisdom…

Economics (4 works) · Geography (4 works) · Computer Science (3 works) · Econometrics (3 works) · Population (3 works) · Sociology (3 works) · Sport and Mega-Event Impacts (3 works) · Sports Analytics and Performance (3 works) · Demography (2 works) · Econometric model (2 works)

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