From mobile crowdsourcing to crowd-trusted food price in Nigeria: statistical pre-processing and post-sampling.

ABSTRACT: Timely and reliable monitoring of food market prices at high spatial and temporal resolution is essential to understanding market and food security developments and supporting timely policy and decision-making. Mostly, decisions rely on price expectations, which are updated with new information releases. Therefore, increasing the availability and timeliness of price information has become a national and international priority. We present two new datasets in which mobile app-based crowdsourced daily price observations, voluntarily submitted by self-selected participants, are validated in real-time within spatio-temporal markets (pre-processed data). Then, they are reweighted weekly using their geo-location to resemble a formal sample design and allow for more reliable statistical inference

SUBMITTER: Arbia G 

PROVIDER: S-EPMC10338426 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature