Doctoral Dissertation Research in Economics: Measuring the Elasticity of Nutrition Among Mothers of Young Children

经济学博士论文研究:衡量幼儿母亲的营养弹性

基本信息

  • 批准号:
    2242341
  • 负责人:
  • 金额:
    $ 2.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Understanding how food purchasing behaviors by low-income households change in response to shocks in prices or income is crucial for the design of policy to counter food insecurity and malnutrition. For rural households with young children, these shocks are becoming increasingly important as incomes and prices change unpredictably due to pandemics, wars, and climates change. This research builds on an on-going field experiment to study how responsive food preferences are to changes in price and income among women with young children and how outside information on nutrition alters these preferences. The focus is on understanding whether providing nutritional information in addition to income support leads to better nutritional choices than providing income support alone. The results of this research will improve the design of social protection programs, such as the bundle of services to provide, and the optimal size of support. Besides helping researchers to model the economic impacts of adverse shocks, the results will also help improve the efficiency of social support programs, thus improving the wellbeing of low-income people as well reducing the fiscal burden of such programs. The results could also help establish the US as the global leader in social support programs. Estimating unbiased price and income elasticities of nutrient consumption in low-income rural settings is difficult, even though these are critical to the efficient design social support programs. This DDRIG exploits random variation in expenditure in an on-going RCT that randomly assigns households with younger children to receive cash transfers of various amounts. The project design allows the PIs to also test whether providing nutritional information in addition to income support improves nutritional outcomes relative to only income support. The PIs supplement this expenditure variation with a set of willingness-to-pay experiments during a lean-season household survey. With random variation in multiple dimensions, the PIs instrument for prices and income and estimate an Almost Ideal Demand System to obtain a complete picture of household preferences for foods and micronutrients. The results of this research will improve the design of social protection programs, such as the bundle of services to provide, as well as the optimal size of support. Besides illuminating the modelling of economic impacts of adverse shocks, the results of this research will also help improve the efficiency of social support programs, thus improving the wellbeing of low-income people as well reducing the fiscal burden of such programs. The results could also help establish the US as the global leader in social support programs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
了解低收入家庭的粮食购买行为如何因价格或收入冲击而变化,对于制定应对粮食不安全和营养不良的政策至关重要。对于有幼儿的农村家庭来说,随着流行病、战争和气候变化导致收入和价格发生不可预测的变化,这些冲击变得越来越重要。这项研究建立在正在进行的实地实验的基础上,研究有幼儿的妇女的食物偏好对价格和收入变化的反应,以及外部营养信息如何改变这些偏好。重点是了解除了收入支持之外提供营养信息是否会比单独提供收入支持带来更好的营养选择。 这项研究的结果将改进社会保护计划的设计,例如提供的服务组合和最佳支持规模。 除了帮助研究人员模拟不利冲击的经济影响外,研究结果还将有助于提高社会支持计划的效率,从而改善低收入人群的福祉并减轻此类计划的财政负担。 研究结果还可能有助于美国成为社会支持计划的全球领导者。 估计低收入农村地区营养物消费的无偏价格和收入弹性很困难,尽管这些对于有效设计社会支持计划至关重要。 该 DDRIG 利用正在进行的 RCT 中支出的随机变化,随机分配有年幼子女的家庭接受不同金额的现金转移。 该项目设计允许 PI 还测试除了收入支持之外提供营养信息是否可以改善相对于仅收入支持的营养结果。 PI 通过淡季家庭调查期间的一系列支付意愿实验来补充这种支出变化。通过多个维度的随机变化,PI 可以衡量价格和收入,并估计近乎理想的需求系统,以全面了解家庭对食品和微量营养素的偏好。 这项研究的结果将改进社会保护计划的设计,例如提供的服务组合以及最佳支持规模。 除了阐明不利冲击的经济影响模型外,这项研究的结果还将有助于提高社会支持计划的效率,从而改善低收入人群的福祉,并减轻此类计划的财政负担。 研究结果还可以帮助美国成为社会支持计划的全球领导者。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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John Hoddinott其他文献

The glass of milk half-empty? Dairy development and nutrition in low and middle income countries
  • DOI:
    10.1016/j.foodpol.2023.102585
  • 发表时间:
    2024-01
  • 期刊:
  • 影响因子:
    6.5
  • 作者:
    Derek D. Headey;Harold Alderman;John Hoddinott;Sudha Narayanan
  • 通讯作者:
    Sudha Narayanan
Household dairy production, dairy intake, and anthropometric outcomes in rural Bangladesh
孟加拉国农村地区的家庭乳制品生产、乳制品摄入量和人体测量结果
  • DOI:
    10.1016/j.foodpol.2023.102567
  • 发表时间:
    2023-11
  • 期刊:
  • 影响因子:
    6.5
  • 作者:
    M. Mehrab Bakhtiar;John Hoddinott
  • 通讯作者:
    John Hoddinott
Methods for Microeconometric Risk and Vulnerability Assessments
微观计量风险和脆弱性评估方法
  • DOI:
    10.2139/ssrn.1281055
  • 发表时间:
    2008-10-08
  • 期刊:
  • 影响因子:
    0
  • 作者:
    John Hoddinott;A. Quisumbing
  • 通讯作者:
    A. Quisumbing
Trends in Mathematics Learning in Ethiopia: 2012-2019
埃塞俄比亚数学学习趋势:2012-2019
  • DOI:
    10.35489/bsg-rise-ri_2022/045
  • 发表时间:
    2022-09-16
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Dawit Tiruneh;R. Sabates;C. Rolleston;John Hoddinott
  • 通讯作者:
    John Hoddinott
Women’s participation in household decision-making: Qualitative findings from the Shonjibon Trial in rural Bangladesh
妇女参与家庭决策:孟加拉国农村地区 Shonjibon 试验的定性研究结果
  • DOI:
    10.1371/journal.pgph.0002907
  • 发表时间:
    2024-06-17
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Elizabeth K. Kirkwood;Jasmin Khan;Mohammad Mehedi Hasan;Afrin Iqbal;Tazeen Tahsina;Tanvir M. Huda;John Hoddinott;Tracey Lea Laba;Sumithra Muthayya;Nicholas Goodwin;Munirul Islam;Emwinyore Agho Kingsley;S. Arifeen;Michael J. Dibley;N. Alam
  • 通讯作者:
    N. Alam

John Hoddinott的其他文献

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{{ truncateString('John Hoddinott', 18)}}的其他基金

Doctoral Dissertation Research in Economics: Income, cognitive tax, and economic decision-making among the urban poor
经济学博士论文研究:城市贫民的收入、认知税和经济决策
  • 批准号:
    1949331
  • 财政年份:
    2020
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant

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细粒度与个性化的学生议论文评价方法研究
  • 批准号:
    62306145
  • 批准年份:
    2023
  • 资助金额:
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  • 项目类别:
    青年科学基金项目
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    青年科学基金项目
基于社交媒体用户画像的科学论文传播模式与影响力性质研究
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    72304274
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    2023
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    30 万元
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    青年科学基金项目
基于深度语义理解的生物医学论文临床转化分析研究
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    2022
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