Is Predicted Data a Viable Alternative to Real Data?

Fujii, Tomoki; Weide, Roy van der

doi:10.1093/wber/lhz007

Cited by 9 publications

(5 citation statements)

References 43 publications

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“…Similarly, information on travel times between households would be important to calibrate time savings, particularly in rural districts and island locations where shorter questionnaires may only yield negligible savings. Detailed cost estimation along the lines of Fujii and van der Weide [2020] on the cost-effectiveness of double sampling would be advisable if implementation were to be considered.…”

Section: Discussionmentioning

confidence: 99%

Fewer Questions, More Answers: Truncated Early Stopping for Proxy Means Testing

Julian¹,

Pinxten²,

Fricke³

et al. 2022

Policy Research Working Papers

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Section: Discussionmentioning

confidence: 99%

Fewer Questions, More Answers: Truncated Early Stopping for Proxy Means Testing

Julian¹,

Pinxten²,

Fricke³

et al. 2022

Policy Research Working Papers

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show abstract

“…Because a large share of the data collection cost consists of visiting the household (transport and search costs), the marginal cost of asking a few additional questions once there, is very low. For a more detailed discussion of the trade‐offs between gains in precision and data collection costs, see for example Fujii and van der Weide ().…”

Section: Discussionmentioning

confidence: 99%

The Performance Of A Consumption Augmented Asset Index In Ranking Households And Identifying The Poor

Ngo

Christiaensen

2018

Review of Income and Wealth

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Asset ownership indices are widely used as inexpensive proxies for consumption. We show that these indices can be augmented using dichotomous indicators for consumption, which are equally easy to obtain. Using multiple rounds of Living Standards Measurements Study surveys from Malawi, Uganda, Rwanda, Tanzania, and Ghana, we construct indices using different item subcategories and perform a meta-analysis comparing the indices to per capita consumption. The results show that the standard asset indices, derived from durable ownership and housing characteristic indicators, perform well in urban settings. Yet, in rural samples and when identifying the extreme poor, household rankings and poverty classification accuracy can be meaningfully improved by adding indicators of food and semi-durable consumption. We find small improvement from using national weights in urban samples but no improvement from using alternative construction methods. With most of Africa's poor concentrated in rural areas, these are important insights. JEL Codes: I32, O10

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“…Because a large share of the data collection cost consists of visiting the household (transport and search costs), the marginal cost to asking a few additional questions once there is very low. For a more detailed discussion of the trade-offs between gains in precision and data collection costs, see for example Fujii and van der Weide (2016).…”

Section: Discussionmentioning

confidence: 99%