Measuring Remittances

Name: Measuring Remittances
Published: 2022-11-30
License: https://creativecommons.org/licenses/by/4.0

Principal Investigator(s): View help for Principal Investigator(s) Alexander Fertig, University of Michigan; Dean Yang, University of Michigan; Giuseppe De Arcangelis, Sapienza University of Rome; Peter Srouji, Innovations for Poverty Action; Yuna Liang, Innovations for Poverty Action

Version: View help for Version V1

Name	File Type	Size	Last Modified
Measuring_Remittances_Replication			11/30/2022 11:37:AM

Project Citation:

Fertig, Alexander, Yang, Dean, De Arcangelis, Giuseppe, Srouji, Peter, and Liang, Yuna. Measuring Remittances. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-11-30. https://doi.org/10.3886/E183321V1

Project Description

Summary:

This project contains all necessary files to replicate the results of "Measuring Remittances" (De Arcangelis, Fertig, Liang, Srouji & Yang 2022).

The folder structure is organized as follows:

1. code - Contains all Stata do-files needed to clean raw data, perform analysis, and export all tables and figures found in the paper.

2. data - Contains cleaned datasets used in the analysis. The primary dataset is called "merged_remittances_WIDE.dta", which contains survey data, Padalapp data, and administrative records for all respondents in the study sample. These datasets are generated by the included do-files.

3. output - All tables and figures from the paper are found here (though formatting is slightly different than the published version). These files are generated by the included do-files.

4. raw - This folder holds all the raw data from baseline/endline surveys, the Padalapp smartphone app, and administrative records from UAE Exchange. These files are cleaned and merged together in the do-file "1.clean_data.do", producing the primary dataset used for analysis ("merged_remittances_WIDE.dta").

Funding Sources: Global Innovation Fund

Scope of Project

Subject Terms: Remittances; Migration; Survey Methodology; Measurement

Geographic Coverage: Philippines, United Arab Emirates

Time Period(s): 9/2018 – 4/2020

Collection Date(s): 9/2018 – 4/2020

Universe: Filipino migrants living in the UAE and their remittance recipients in the Philippines.

Data Type(s): administrative records data; event/transaction data; survey data

Methodology

Unit(s) of Observation: Individuals

Related Publications

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Published Versions

V1 [2022-11-30]

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