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Doctoral Dissertation Research in Economics: Information frictions, demand for quality, and welfare in the market for antimalarials

Doctoral Dissertation Research in Economics: Information frictions, demand for quality, and welfare in the market for antimalarials
经济学博士论文研究:抗疟药市场中的信息摩擦、质量需求和福利
批准号:
2117105
负责人:
Dean Yang
金额:
$2.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2023-05-31

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英文摘要
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Malaria is extremely deadly: In 2019, 229 million cases worldwide caused 409,000 deaths; 23% of those deaths occurred in Nigeria. One key problem is the prevalence of substandard antimalarials: various studies find 11.8% (Beargie et al.) to 23% (WHO) of antimalarials sold do not have the correct active pharmaceutical ingredients percentage, typically meaning the pills are either counterfeits or were improperly stored. 35% of artemisinin-based combination therapies (ACTs) — the WHO's recommended treatment for uncomplicated malaria — were found to be substandard in a six-country study in sub-Saharan Africa (Bate et al.). Estimates indicate “poor-quality antimalarials are responsible for 12,300 deaths and $892 million ($890-$893 million) in costs annually in Nigeria” (Beargie et al.). In addition to ACTs, consumers have access to many less effective substitutes, including less effective drugs such as chloroquine and drugs not intended for the treatment of malaria. While a quarter of Nigerians mention ACTs when asked about malaria treatments they would use, 17% mention chloroquine, and 20% cite over-the-counter painkillers (aspirin, paracetamol, etc.) (DHS). Why are less effective treatments commonly used? In addition to a somewhat lower price point, consumers cannot be certain whether a drug they purchase is substandard and likely have difficulty assessing the relative effectiveness of different treatment options. Improving the functioning of markets for antimalarials can help affordable and effective, high-quality drugs reach those in need. This study seeks to improves our understanding of this vital market and highlight how consumer uncertainty about drug quality affects antimalarial choices. Beyond malaria, understanding how health product choices relate to perceptions of product quality could be valuable to policy makers trying to increase take-up of high-quality pharmaceuticals, such as Covid-19 vaccines: similar mechanisms will likely be at play, and counterfeit Covid-19 vaccines have been found in South Africa. Markets in low-income countries often fail to reliably provide high-quality versions of goods. Both theoretical and empirical work has highlighted the importance of information frictions in the low-quality equilibrium. This project will investigate information frictions in the antimalarials market. This market features quality uncertainty because i) highly effective drugs may be counterfeits or degraded, ii) myriad lower-quality alternatives exist, including weaker drugs and traditional remedies, and iii) learning about product quality is difficult, e.g. because antimalarials may be used to treat non-malaria fevers. The project asks four related questions about information frictions and the antimalarial market: how do information frictions influence demand for quality; what are the welfare consequences of information frictions, accounting for how beliefs about quality influence price, quality provision, and adoption in equilibrium; what are the distributional consequences of reducing information frictions; and how do information frictions influence the welfare effects and efficacy of common policies to increase uptake of high-quality antimalarials. To answer these questions, the project combines an RCT providing drug quality information (including free drug testing) to consumers with a structural model. The RCT allows for precise estimates of the effect of quality beliefs on demand for quality and evaluates a policy relevant intervention for improving uptake of high-quality antimalarials. The structural model, incorporating treatment effect estimates from the RCT, allows for counterfactual simulations of adoption choices and welfare under improved quality information. The model features both biased and noisy beliefs, advancing existing structural approaches, by using data on both beliefs about drug quality and true quality from test results.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.
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