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Performance bonuses in the public sector: Winner-take-all prizes versus proportional payments to reduce child malnutrition in India.

ABSTRACT: We conduct a randomized trial to compare incentives for improved child outcomes among salaried caregivers in Chandigarh, India. A contest whose prize is divided among workers in proportion to measured gains yielded more improvement than a winner-take-all program. In our population of about 2000 children served by 85 workers, using proportional rewards led to weight-for-age malnutrition rates that were 4.3 percentage points lower at 3 months (when rewards were paid) and 5.9 points lower at 6 months (after the contest had ended), with mean weight-for-age z scores that were 0.071 higher at 3 months, and 0.095 higher at 6 months. Proportional bonuses led to larger and more sustained gains because of better performance by lower-ranked workers, whose efforts were not rewarded by a winner-take-all prize. Results are consistent with previous laboratory trials and athletic events, demonstrating the value of proportional rewards to improve development outcomes.

SUBMITTER: Singh P

PROVIDER: S-EPMC7457730 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Performance bonuses in the public sector: Winner-take-all prizes versus proportional payments to reduce child malnutrition in India.

Singh Prakarsh P Masters William A WA

Journal of development economics 20200901

We conduct a randomized trial to compare incentives for improved child outcomes among salaried caregivers in Chandigarh, India. A contest whose prize is divided among workers in proportion to measured gains yielded more improvement than a winner-take-all program. In our population of about 2000 children served by 85 workers, using proportional rewards led to weight-for-age malnutrition rates that were 4.3 percentage points lower at 3 months (when rewards were paid) and 5.9 points lower at 6 mont ...[more]

PMID: 32904677

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Project description:Despite sustained economic growth and reduction in money metric poverty in last two decades, prevalence of malnutrition remained high in India. During 1992-2016, the prevalence of underweight among children had declined from 53% to 36%, stunting had declined from 52% to 38% while that of wasting had increased from 17% to 21% in India. The national average in the level of malnutrition conceals large variation across districts of India. Using data from the recent round of National Family Health Survey (NFHS), 2015-16 this paper examined the spatial heterogeneity and meso-scale correlates of child malnutrition across 640 districts of India.Moran's I statistics and bivariate LISA maps were used to understand spatial dependence and clustering of child malnutrition. Multiple regression, spatial lag and error models were used to examine the correlates of malnutrition. Poverty, body mass index (BMI) of mother, breastfeeding practices, full immunization, institutional births, improved sanitation and electrification in the household were used as meso scale correlates of malnutrition.The univariate Moran's I statistics was 0.65, 0.51 and 0.74 for stunting, wasting and underweight respectively suggesting spatial heterogeneity of malnutrition in India. Bivariate Moran's I statistics of stunting with BMI of mother was 0.52, 0.46 with poverty and?-?0.52 with sanitation. The pattern was similar with respect to wasting and underweight suggesting spatial clustering of malnutrition against the meso scale correlates in the geographical hotspots of India. Results of spatial error model suggested that the coefficient of BMI of mother and poverty of household were strong and significant predictors of stunting, wasting and underweight. The coefficient of BMI in spatial error model was largest found for underweight (??=?0.38, 95% CI: 0.29-0.48) followed by stunting (??=?0.23, 95% CI: 0.14-0.33) and wasting (??=?0.11, 95% CI: 0.01-0.22). Women's educational attainment and breastfeeding practices were also found significant for stunting and underweight.Malnutrition across the districts of India is spatially clustered. Reduction of poverty, improving women's education and health, sanitation and child feeding knowledge can reduce the prevalence of malnutrition across India. Multisectoral and targeted intervention in the geographical hotspots of malnutrition can reduce malnutrition in India.

Dataset Information

Performance bonuses in the public sector: Winner-take-all prizes versus proportional payments to reduce child malnutrition in India.

Publications

Performance bonuses in the public sector: Winner-take-all prizes versus proportional payments to reduce child malnutrition in India.

Similar Datasets

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