Nagraj focuses on agricultural statistics, impact evaluation, poverty measurement and analysis, and methodological research on survey technology. Before joining ADB, he worked with the National Statistics Office in Liberia, and spearheaded Liberia’s first Household Income and Expenditure Survey. He was also Research Analyst and Impact Evaluation Coordinator in the World Bank’s Development Economics Research Group and Africa Education Unit, where he implemented household and agricultural panel surveys alongside supporting baseline activities for impact evaluations in Tanzania.
Blogs by this Author
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Technological innovation is a game-changer for agricultural statistics
Published on Tuesday, 11 September 2018
Both emerging and existing technologies should complement each other to bolster agricultural data quality.
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5 ways to make the most of Philippine education investments
Published on Monday, 25 June 2018
A new survey yields insights on the main factors that influence Filipinos’ education investment choices.
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Measuring rice yield from the sky
Published on Monday, 30 April 2018
Spatially explicit maps of crop yields can help countries improve overall agricultural productivity.
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Land measurement bias revisited
Published on Friday, 06 April 2018
Weak statistics and informal land area measurement techniques can distort agricultural policies, ADB research shows.
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The curious case of area measurement in surveys (II)
Published on Tuesday, 25 October 2016
A case study in Viet Nam demonstrates how technological improvements in the survey world help improve data quality and consequently development impact.
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The curious case of area measurement in surveys (I)
Published on Friday, 21 October 2016
Innovative data collection methods for agricultural and rural statistics can help small farmers in Southeast Asia.
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That 'thing' called statistics
Published on Tuesday, 20 October 2015
ADB’s Key Indicators report is a testament to our long-term commitment toward providing timely, high-quality, and open data alongside expanding data literacy and strengthening statistical capacity in Asia and the Pacific.