This paper examines two new methods to generate gridded agricultural Gross Domestic Product (GDP) and compares the results with a traditional method. ... See More + In the case of Brazil, these two new methods of spatial disaggregation and cross-entropy outperform the prediction of agricultural GDP from the traditional method that distributes agricultural GDP using rural population. The paper finds that the best prediction method is spatial disaggregation using a regression approach for all the key crops and contributors to agricultural GDP. However, the issue of degrees of freedom is an important limiting factor, as the approach requires sufficient subnational data. The cross-entropy method with readily available spatially distributed crop, livestock, forest, and fish allocation far outperforms the traditional method, at least in the case of Brazil, and can operate with national- and/or subnational-level data.  See Less -

Document Type: Policy Research Working Paper Report No.: WPS8985 Document Date: AUG 19, 2019

Author: Chambers,Thomas Timothy; You,Liangzhi; Wood-Sichra,Ulrike; Ru,Yating; Blankespoor,Brian; Kalvelagen,Erwin Marinus Franciscus Disclosure Status: Disclosed

Document Type: Procurement Plan Report No.: STEP23392 Document Date: AUG 12, 2019

Author: Edgar Gonzalez Godoy Disclosure Status: Disclosed

Document Type: Procurement Plan Report No.: STEP23265 Document Date: AUG 07, 2019

Author: Saah A. David, Jr. Disclosure Status: Disclosed

Document Type: Procurement Plan Report No.: STEP22920 Document Date: JUL 29, 2019

Author: Edgar Gonzalez Godoy Disclosure Status: Disclosed

Document Type: Procurement Plan Report No.: STEP22810 Document Date: JUL 25, 2019

Author: Jossie Stephenson Disclosure Status: Disclosed

Document Type: Integrated Safeguards Data Sheet Report No.: Document Date: JUL 18, 2019

Author: Papageorgiou,Stavros Disclosure Status: Disclosed

Document Type: Procurement Plan Report No.: STEP22507 Document Date: JUL 17, 2019

Author: Umut Zholdoshova Disclosure Status: Disclosed

Document Type: Auditing Document Report No.: AUD0022364 Document Date: JUL 15, 2019

Author: Wang,Yan Disclosure Status: Disclosed

Document Type: Auditing Document Report No.: AUD0022472 Document Date: JUL 15, 2019

Author: Soltis,Anastasia Disclosure Status: Disclosed

Document Type: Auditing Document Report No.: AUD0022660 Document Date: JUL 15, 2019

Author: Boakye-Bonsu,Victor Disclosure Status: Disclosed