人間の安全保障研究所

人間の安全保障研究所

Activity Results

2/7/2021

Online Seminar at July 8 : Yuma Noritomo (Graduate School of Economics, The University of Tokyo)

Let me inform you of the following online research seminar.

Date: july 8, 2021
Time: 17:15-18:45
Venue: Online Seminar in Zoom
Speaker: Yuma Noritomo (Graduate School of Economics, The University of Tokyo)
Coordinators: Takuya Hasebe
Language: English

Title: Constrained Data and External Validity: Evidence from the Peruvian Amazon

Abstract: Constraints arise for researchers when collecting data. Such constraints may result in a sample differing from the target population. This study examines data collection and tests for the external validity of constrained data. A large-scale community census covering 919 communities in the Peruvian Amazon and a systematic review of previous research were performed. It was found that past research focused on systematically different communities instead of unresearched communities in the same basins. The generalizability of empirical findings using a unique representative household survey (nearly 4000 households) was assessed. Based on estimates in previously researched communities, the average treatment effects of idiosyncratic and covariate shocks on poverty were assessed using a traditional extrapolation method. Predictions were tested against the current data gathered on unresearched communities. The results show that the predictions mostly fail, both systematically and meaningfully. To explore the mechanisms involved, researcher constraints and a simple model of site selection bias were combined, characterizing the potential concerns for consistent estimates in a target population, given the constraints. In this context, NGOs and phone coverage are relevant for the impreciseness of the predictions, though there are various associated factors. Overall, more effort is needed from various stakeholders in the data generation process. 

* Please contact the coordinators via email, if you'd like to participate in the online seminar.