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Narayan, Ambar

Poverty and Equity Global Practice of the World Bank
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Welfare economics, Labor economics, Inequality, Poverty and social impact, Impact evaluation and economic shocks, Policy and program evaluation
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Poverty and Equity Global Practice of the World Bank
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Last updated August 29, 2023
Biography
Ambar Narayan, a Lead Economist in the Poverty and Equity Global Practice of the World Bank, leads and advises teams conducting policy analysis and research in development from a microeconomic perspective. Topics that he works on include inequality of opportunity, economic mobility, policy evaluation, economic transformation, country diagnostics, and impacts of economic shocks on households. Currently, he provides leadership to teams engaged in analyzing the distributional impacts of markets, institutions and private sector participation, and the inequality implications of COVID-19 for developing countries. Ambar has been a lead author for several large World Bank studies, including a recent global report on intergenerational mobility titled “Fair Progress?” as well as reports on inequality of opportunity, poverty, and the impacts of financial crisis in developing countries. In the past, he has worked in the South Asia region of the World Bank on knowledge and lending programs. He has authored a number of scholarly publications and working papers, which reflect the eclectic mix of topics he has worked on over the years. He holds a PhD in Economics from Brown University in the United States.

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    Measuring the Quality of Education and Health Services : The Use of Perception Data from Indonesia
    ( 2009-08-01) Dasgupta, Basab ; Narayan, Ambar ; Skoufias, Emmanuel
    Satisfaction surveys offer a potentially convenient and cost-effective means for measuring the quality of services. However, concerns about subjectivity and selection bias impede greater use of satisfaction data. This paper analyzes satisfaction data about health and educational services from the 2006 second round of the Governance and Decentralization Survey in Indonesia to assess whether satisfaction data can serve as reliable indicators of quality, despite dubiously high levels of reported satisfaction. The authors use an expectation disconfirmation model that posits that a user s satisfaction with a facility improves with the (positive) difference between the actual quality of the facility and the household s expected standard for quality, which is influenced by its socioeconomic characteristics. The findings show that, after taking into account the expectations of households, reported satisfaction does vary significantly with objective indicators of quality. The analysis also checks for possible selection bias affecting the results by using a two-stage selection model. The model yields policy-relevant insights into the aspects of service delivery that most affect satisfaction, highlights differences across rich and poor districts, and shows that once the role of expectations has been factored in, the variation in user satisfaction can be highly informative for policymakers and researchers alike.