Improving Paddy Rice Statistics Using Area Sampling Frame Technique

Anna Christine Durante (), Pamela Lapitan (), David Megill () and Lakshman Nagraj Rao ()
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Anna Christine Durante: Asian Development Bank
Pamela Lapitan: Asian Development Bank
David Megill: Asian Development Bank

No 565, ADB Economics Working Paper Series from Asian Development Bank

Abstract: Traditional sampling strategies for paddy rice statistics rely on outdated list frames, incomplete holding information, or administrative data that are prone to numerous biases.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.

Keywords: agriculture; sampling methods (search for similar items in EconPapers)
JEL-codes: C83 O13 Q19 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2018-11-28
New Economics Papers: this item is included in nep-agr and nep-sea
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