Resultados de búsqueda - Mijas~

  1. To eat or not to eat – Uncovering gender normative biases in Food Environment por Shijagurumayum, Meghajit, Rietveld, Anne M., Farnworth, Cathy Rozel

    Publicado 2023
    “…In the context of food environments, such norms might be deeply biased against women’s nutrition, food security, and health interests, impeding women’s options to build resilient livelihoods. …”
    Enlace del recurso
    Ponencia
  2. Anchoring bias in recall data: Evidence from Central America por Godlonton, Susan, Hernandez, Manuel A., Murphy, Mike

    Publicado 2018
    “…Self-reported retrospective survey data is widely used in empirical work but may be subject to cognitive biases, even over relatively short recall periods. …”
    Enlace del recurso
    Journal Article
  3. Anchoring bias in recall data: Evidence from Central America por Godlonton, Susan, Hernandez, Manuel A., Murphy, Mike

    Publicado 2016
    “…Understanding the magnitude and source of measurement biases in self-reported data is critical to effective economic policy research. …”
    Enlace del recurso
    Artículo preliminar
  4. Income growth and gender bias in childhood mortality in developing countries por Ueyama, Mika

    Publicado 2007
    “…With poverty studies having shifted their focus from household poverty to individual poverty, a number of studies have started to examine intrahousehold resource allocation, especially gender bias within the household as potential causes of poverty. …”
    Enlace del recurso
    Artículo preliminar
  5. Rural women miss opportunities due to heavy household duties por Waters-Bayer, Ann

    Publicado 2011
    “…Without targeting training in these areas, women will continue to miss out.…”
    Enlace del recurso
    Video
  6. Bio-Innovate: Addressing the missing link between research and innovation por Leta, S.

    Publicado 2011
    “…Bio-Innovate is a new program aiming to provide that ‘missing link’. It will tackle the big regional problems such as climate change results, and environmental degradation, by the application of bio-sciences, with the direct aim of helping small-scale farmers.…”
    Enlace del recurso
    Video
  7. Bias-correction in the CCAFS-Climate Portal: A description of methodologies por Navarro Racines, Carlos Eduardo, Tarapues Montenegro, Jaime Eduardo

    Publicado 2015
    “…Hence, it is important to bias-correct and downscale the raw climate model outputs in order to produce climate projections that are better fit for agricultural modeling. …”
    Enlace del recurso
    Informe técnico
  8. Evaluation of bias correction method for satellite-based rainfall data por Bhatti, H.A., Rientjes, T.H.M., Haile, Alemseged Tamiru, Habib, E., Verhoef, W.

    Publicado 2016
    “…Study objectives are to assess bias of the satellite estimates, to identify optimum window size for application of bias correction and to test effectiveness of bias correction. …”
    Enlace del recurso
    Journal Article

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