Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Replication data and code for: "It will rain: The effect of information on flood preparedness in urban Mozambique"

Domain:

socioeconomic

Record type:

dataset
Creator:
Lee
Publisher:
Men
Host:avatar
This package contains the replication data and code for Leeffers, Stefan (2026), "It will rain: The effect of information on flood preparedness in urban Mozambique," Journal of Development Economics 182, 103787, doi.org. The package reproduces all tables in the published paper (Tables 1 to 4) and in the Online Appendix (Tables D1 to D10). It includes seven anonymized analysis datasets in Stata format (household baseline, endline, and scale-up surveys; community leader baseline and endline surveys; location and community characteristics) and the Stata do-files that generate every table from these datasets. Running 0_master.do executes the full analysis and writes one .tex file per table to the Output folder. A compiled Tables.pdf typesets all output with the table numbers and titles of the published paper for side-by-side verification against the published version. The README file documents the mapping from each published table to its do-file, output file, and dataset, along with variable descriptions and software requirements (Stata 16 or later; the user-written packages estout, icw_index, and ietoolkit are installed automatically). The study is a randomized controlled trial on risk information and flood preparedness in Quelimane, Mozambique, pre-registered at the AEA RCT Registry (AEARCTR-0008451).

Visit

data.mendeley.com

Tags

Economics

Licenses

Creative Commons Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0

Similar

Replication data and code for 'Information, Get-out-the-vote Messages, and Peer Influence: Causal Effects on Political Behavior in Mozambique'WITH THESE I KNOW IT WILL OR IT WILL NOT RAIN: INDIGENOUS INDICATORS OF RAINFALL IN MWANGA DISTRICT, TANZANIAData and code for "Uncertainty warnings for urban flood omissions in Copernicus Global Flood Monitoring"Flood vulnerability framework for deprived urban areas in Africa (Data and Code repository)Data and Code for: Will Wealth Weaken Weather Wars?Flood Disaster Risk Perception and Urban Households’ Flood Disaster Preparedness: The Case of Accra Metropolis in Ghana

Replication data and code for 'Information, Get-out-the-vote Messages, and Peer Influence: Causal Effects on Political Behavior in Mozambique'

Replication data and code for 'Information, Get-out-the-vote Messages, and Peer Influence: Causal Ef

WITH THESE I KNOW IT WILL OR IT WILL NOT RAIN: INDIGENOUS INDICATORS OF RAINFALL IN MWANGA DISTRICT, TANZANIA

Weather forecasting is crucial to planning activities which should be undertaken in, and by, various

Data and code for "Uncertainty warnings for urban flood omissions in Copernicus Global Flood Monitoring"

Derived pixel-level data, summary tables, provenance metadata, and portable R scripts supporting an

Flood vulnerability framework for deprived urban areas in Africa (Data and Code repository)

This repository contains the processed datasets and analysis scripts supporting the manuscr

Data and Code for: Will Wealth Weaken Weather Wars?

This project analyzes the relationship between weather shocks and civil conflict in Africa, along wi

Flood Disaster Risk Perception and Urban Households’ Flood Disaster Preparedness: The Case of Accra Metropolis in Ghana

Flood disaster has gained global attention due to the huge impact it has on human lives, economies,