Collaborative Research: Policy Analysis by Revealed Preference: With an Application to Food Security

合作研究:显示偏好的政策分析:在粮食安全中的应用

基本信息

  • 批准号:
    1426003
  • 负责人:
  • 金额:
    $ 9.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-08-01 至 2016-07-31
  • 项目状态:
    已结题

项目摘要

Governments around the world spend large shares of their budgets on the public provision of private goods. Understanding the tradeoffs between redistribution in cash and in kind is thus central to government policy. For example, redistributing in-kind may potentially reduce choice and thus lower recipients' welfare, but may increase taxpayers' welfare if they have paternalistic preferences and care more about preventing hunger than about the other aspirations of the poor. The PIs propose a rigorous experimental study to estimate (i) beneficiary preferences over equally-valued cash and in-kind transfers, (ii) the relative impact on nutrition of cash and in-kind transfers, and (iii) beneficiary valuation of in-kind benefits. This design allows one to measure both beneficiary preferences (using the take up rate) as well as the causal impact of cash vs. kind benefits on nutrition (using the random assignment of the offer to estimate both intent-to-treat and treatment-on-treated effects on nutrition). Further, the PIs offer additional randomly selected households the option to exchange their in-kind benefits for an experimentally varied cash transfer, which allows to estimate the demand for the status quo at various prices and to quantify the consumer surplus (or loss) beneficiaries obtain from in-kind benefits relative to cash transfers. Methodologically, the PIs integrate in one design the two paradigms that have dominated modern policy evaluation, one based on impacts, the other based on revealed preferences. In addition, by measuring take-up at randomly varied prices, the PIs are among the first to estimate individual-level beneficiary valuations of publicly-provided private goods using experimental data. The revealed preference approach is unique in enabling one to understand and accommodate heterogeneity of beneficiary preferences over cash and in-kind benefits, thereby reducing the political and ethical risks of policy experimentation in a critical area such as food security for the poor
世界各国政府将预算的很大一部分用于公共部门提供私人物品。因此,理解现金和实物再分配之间的权衡是政府政策的核心。例如,实物再分配可能会潜在地减少选择,从而降低受惠者的福利,但如果纳税人有家长式的偏好,并且更关心防止饥饿而不是穷人的其他愿望,则可能会增加纳税人的福利。pi提出了一项严格的实验研究,以估计(i)受益人对等额现金和实物转移的偏好,(ii)现金和实物转移对营养的相对影响,以及(iii)受益人对实物福利的评估。该设计允许人们测量受益人偏好(使用使用率)以及现金与实物福利对营养的因果影响(使用提供的随机分配来估计治疗意图和治疗对营养的影响)。此外,pi为额外随机选择的家庭提供了将其实物福利换取实验性变化的现金转移的选择,这使得可以估计在不同价格下对现状的需求,并量化受益人从相对于现金转移的实物福利中获得的消费者剩余(或损失)。在方法上,pi整合了主导现代政策评估的两种范式,一种基于影响,另一种基于揭示的偏好。此外,通过以随机变化的价格衡量消费,这些指数是第一批利用实验数据估计公共提供的私人物品的个人层面受益者估值的机构。揭示的偏好方法的独特之处在于,它使人们能够理解和适应受益人对现金和实物福利偏好的异质性,从而减少在诸如穷人粮食安全等关键领域进行政策试验的政治和道德风险

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Sandip Sukhtankar其他文献

Improving Last-Mile Service Delivery Using Phone-Based Monitoring
使用基于电话的监控改善最后一英里的服务交付
Corruption in India: Bridging Research Evidence and Policy Options
印度的腐败:连接研究证据和政策选择
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sandip Sukhtankar;M. Vaishnav
  • 通讯作者:
    M. Vaishnav
Sweetening the Deal? Political Connections and Sugar Mills in India
让交易变得甜蜜?
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sandip Sukhtankar
  • 通讯作者:
    Sandip Sukhtankar
Corruption in India: Bridging Academic Evidence and Policy Options*
印度的腐败:弥合学术证据和政策选择*
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sandip Sukhtankar;M. Vaishnav
  • 通讯作者:
    M. Vaishnav
The Impact of Corruption on Consumer Markets: Evidence from the Allocation of 2G Wireless Spectrum in India
腐败对消费市场的影响:来自印度 2G 无线频谱分配的证据
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sandip Sukhtankar
  • 通讯作者:
    Sandip Sukhtankar

Sandip Sukhtankar的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: NNA Research: Electric Vehicles in the Arctic (EVITA) - Interactions with Cold Weather, Microgrids, People, and Policy
合作研究:NNA 研究:北极电动汽车 (EVITA) - 与寒冷天气、微电网、人员和政策的相互作用
  • 批准号:
    2318385
  • 财政年份:
    2024
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Standard Grant
Collaborative Research: NNA Research: Electric Vehicles in the Arctic (EVITA) - Interactions with Cold Weather, Microgrids, People, and Policy
合作研究:NNA 研究:北极电动汽车 (EVITA) - 与寒冷天气、微电网、人员和政策的相互作用
  • 批准号:
    2318384
  • 财政年份:
    2024
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Standard Grant
Collaborative Research: Impacts of State Policy on Computer Science Participation and Teacher Preparation
合作研究:国家政策对计算机科学参与和教师准备的影响
  • 批准号:
    2317943
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Continuing Grant
Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Distributionally Robust Policy Learning
合作研究:CIF:媒介:分布式稳健政策学习的统计和算法基础
  • 批准号:
    2312205
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Continuing Grant
Collaborative Research: Science with the People: Collaborative analysis of government data for policy reach and structural change in environmentally contested regions
合作研究:科学与人民:对政府数据进行合作分析,以了解环境争议地区的政策影响力和结构变化
  • 批准号:
    2318237
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Standard Grant
Collaborative Research: Impacts of State Policy on Computer Science Participation and Teacher Preparation
合作研究:国家政策对计算机科学参与和教师准备的影响
  • 批准号:
    2317944
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Continuing Grant
Collaborative Research: Science with the People: Collaborative analysis of government data for policy reach and structural change in environmentally contested regions
合作研究:科学与人民:对政府数据进行合作分析,以了解环境争议地区的政策影响力和结构变化
  • 批准号:
    2318238
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Standard Grant
Collaborative Research: Conference on Auctions, Firm Behavior, and Policy
合作研究:拍卖、公司行为和政策会议
  • 批准号:
    1919343
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Standard Grant
Collaborative Research: Conference on Auctions, Firm Behavior, and Policy
合作研究:拍卖、公司行为和政策会议
  • 批准号:
    1919345
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Standard Grant
Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Distributionally Robust Policy Learning
合作研究:CIF:媒介:分布式稳健政策学习的统计和算法基础
  • 批准号:
    2312204
  • 财政年份:
    2023
  • 资助金额:
    $ 9.92万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了