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Part 1: What’s in a name: Combining datasets when unique identifiers are missing

Part 1: The Fuzzy Matching Problem. 

22 October 2020

Part 2: What’s in a name: Combining datasets when unique identifiers are missing

Part 2: Applying a customized algorithm to match voters.

22 October 2020

Are voter rolls suitable sampling frames for household surveys? Evidence from India

In this paper, we set out to assess the suitability of using voter rolls for constructing household sampling frames in India.

20 October 2020

Voter rolls can be cheaper and faster for sampling in India. But are they accurate?

New data can help researchers better weigh the cost savings and exclusion risks when choosing between voter rolls and door-to-door methods.

20 October 2020

Increasing use of digital payment applications among vulnerable populations

This brief describes the challenges faced by female migrant workers using digital payment applications how training affected their usage.

20 September 2020

What may explain Delhi’s recent rise in COVID-19 cases?

3 September 2020

Reflections on reaching women over the phone in rural India

The Data on Demand team shares experiences from attempts to reach women over the phone.

31 August 2020

Collecting data on COVID-19 health and economic effects from across India’s poorest states

IDinsight partners with NITI Aayog and other Indian officials to collect rapid feedback on COVID-19 knowledge, behavior change, and economic effects.

12 July 2020

Daily practices to optimize remote survey teams

Part three in our series of lessons learned based on a 6,000 person survey in India.

8 June 2020

How to ensure productivity and data quality for a phone survey at scale

Part two in our series of lessons learned based on a 6,000 person survey in India and a 600 person survey in Kenya.

5 June 2020