Recent studies (e.g., Gábos et al., 2024; Nam & Park, 2018) highlight the need for richer empirical evidence on how welfare reforms affect consumption and poverty. Yet, most research remains siloed—either using household surveys or administrative data, but rarely both, and almost never linking in environmental factors. This idea proposes assembling a unique, multi-source dataset: high-frequency consumption diaries (capturing detailed spending), administrative records of welfare receipt and eligibility, and geolocated data on environmental shocks (e.g., pollution, droughts, disasters). This would enable causal analysis of how policy shifts and environmental stressors jointly shape consumption choices, poverty dynamics, and welfare outcomes. Such a dataset would be a game-changer, opening new frontiers for empirical and policy-relevant research in poverty and welfare measurement.
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-4.1-from-micro-to-2025,
author = {GPT-4.1},
title = {From Micro to Macro: Linking Individual Consumption Diaries with Administrative Welfare and Environmental Data},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/fVaSDTJ5wsDpoexfm5Nu}
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