Regional Inequality in ASEAN Countries: Evidence from an Outer Space Perspective

Chen, Guohui; Zhang, Jie

doi:10.1080/1540496x.2022.2119810

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Inattention To Spatially Mean‐reverting Errors In the Litera...1

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2023

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“…Another symptom of the inequality literature ignoring mean‐reverting errors in DMSP data is that some studies used a time series that spliced together DMSP and VNL data (Chen & Zhang, 2023; Ivan et al, 2020). This splicing was to extend the length of the time series past the 2013 ending data of the most popular DMSP annual composites.…”

Section: Inattention To Spatially Mean‐reverting Errors In the Litera...mentioning

confidence: 99%

Remotely too equal: Popular DMSP night‐time lights data understate spatial inequality

Zhang

Gibson

Deng

2023

Regional Science Policy & Practice

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Regional science and economics studies increasingly use Defense Meteorological Satellite Program (DMSP) night‐time lights data to measure spatial inequality. These DMSP data are a poor proxy in this context because of their spatially mean‐reverting errors, which yield significantly lower inequality estimates than what sub‐national GDP data show. Inequality estimates from DMSP are also lower than what newer, research‐focused and more accurate, satellites show. We demonstrate this bias using county‐level data from China and the United States. The errors in the DMSP data distort estimates of both the level of, and trend in, spatial inequality.

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Section: Inattention To Spatially Mean‐reverting Errors In the Litera...mentioning

confidence: 99%

Remotely too equal: Popular DMSP night‐time lights data understate spatial inequality

Zhang

Gibson

Deng

2023

Regional Science Policy & Practice

View full text Add to dashboard Cite

show abstract

Regional Inequality in ASEAN Countries: Evidence from an Outer Space Perspective

Cited by 1 publication

References 47 publications

Remotely too equal: Popular DMSP night‐time lights data understate spatial inequality

Remotely too equal: Popular DMSP night‐time lights data understate spatial inequality

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