Myanmar Agricultural Performance Survey Round Six: Note on Sample Characteristics and Weighting

van Asselt, Joanna; Aung, Zin Wai; Ei Win, Hnin

Myanmar Agricultural Performance Survey Round Six: Note on Sample Characteristics and Weighting

Autores

van Asselt, Joanna

Aung, Zin Wai

Ei Win, Hnin

Editor

International Food Policy Research Institute

Descripción

The Myanmar Agricultural Performance Survey (MAPS) is a nationally and sub-nationally representative phone survey with the objective of collecting bi-annual data on agricultural indicators including crop production and sales, input use, crop marketing, farm and livestock assets, and farm services. The Myanmar Household Welfare Survey (MHWS) is a nationally and sub‐nationally representative phone survey with the objective of collecting bi-annual data on household and individual welfare indicators, including poverty, food security, dietary quality, subjective wellbeing, and coping strategies. MAPS is a sub-sample survey with farming households from MHWS. This note is for the sixth round of MAPS. MAPS Rounds 1, 3, and 5 were conducted between January and March 2022 and 2024 and collect recall data on monsoon production. MAPS Round 2, 4 and 6 were conducted between June and September 2022 and 2024 and collect recall data on dry season production (post/pre-monsoon season). Phone surveys have several shortcomings including representativeness, enumerator trust, measurement error, and shortened survey length. To help ensure representativeness of our sample we set targets for MHWS data collection from rural, female, lower-educated, and farming households. While there are weaknesses of phone surveys, there are also advantages, particularly in Myanmar. Previous face-to-face socioeconomic surveys in Myanmar failed to reach many townships across the country either due to conflict or remoteness. Round 6 of MAPS includes 259 out of 324 townships. In this note, we provide details on the data collection and sample characteristics of the sixth-round of MAPS. First, we briefly describe the modules present in MAPS data. Second, we discuss the household sampling design of MHWS and each MAPS round and the differences between the datasets. Third, we discuss the calculation of weights for MAPS and provide descriptives of the weighted sample. Most comparisons throughout the paper are between MAPS round 4 and MAPS round 6 because both surveys were carried out following the post/pre-monsoon season.