Improving paddy rice statistics using area sampling frame technique ppt
Durante, Anna Christine; Lapitan, Pamela; Megill, David; Rao, Lakshman Nagraj
Asian Development Bank, Philippines
Traditional sampling strategies for paddy rice statistics rely on outdated list frames, incomplete holding
information, or administrative data that are prone to numerous biases. The objective of this study is to
test the utility of an area frame developed using remote sensing data in three pilot provinces—
Savannakhet (Lao People’s Democratic Republic), Ang Thong (Thailand), and Thai Binh (Viet Nam).
Direct estimates of total paddy rice area and production are calculated from area frame using two
methods––one involving measurement of plot size using a Global Positioning System instrument and
the other utilizing a digitized map of farmer-identified plot boundaries on a high-resolution Google
Earth image. A third method involving the calculation of ratio estimates using independent mesh-level
measures is compared with the first two methods involving direct estimates, and with the estimates
generated from administrative data from the countries. Our study finds that ratio estimation
significantly improves the level of precision of paddy rice statistics. Substantial deviations are also
observed between official statistics and the statistics generated through direct estimation.
Event: Annual World Bank Conference on Land and Poverty 2019
Only personal, non-commercial use of this document is allowed.