Improved Estimates of Using Luminosity as a Proxy for Economic Statistics: New Results and Estimates of Precision
Previous work has analyzed whether luminosity data contain useful information for estimating economic output and concluded that there was significant promise for regions with poor quality economic statistics. The present paper examines alternative measures of the precision of the estimates using bootstrap and prior estimates of the errors for both the luminosity quality and the national accounts quality. Based on the new results, we conclude: First, for countries with high quality systems, there is no reason to use luminosity data as a supplement to standard data in any context where standard data are available. Second, we find that there is no advantage at present of using lights data for time-series corrections for any purposes where standard data are available. Third, for countries with low quality statistical systems, the estimates suggest that there may be substantial information in the luminosity data for cross-sectional estimates of output. Fourth, the major concerns about the use of lights as a proxy involve uncertainties about the precision of standard national accounts data. Finally, we recommend that future work be concentrated on integrating luminosity data into the cross sectional estimates of national and regional output primarily for countries with poor quality statistical systems.
|Date of creation:||Mar 2012|
|Date of revision:|
|Contact details of provider:|| Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA|
Phone: (203) 432-3702
Fax: (203) 432-6167
Web page: http://cowles.yale.edu/
More information through EDIRC
|Order Information:|| Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Simon Johnson & William Larson & Chris Papageorgiou & Arvind Subramanian, 2009.
"Is Newer Better? Penn World Table Revisions and Their Impact on Growth Estimates,"
191, Center for Global Development.
- Johnson, Simon & Larson, William & Papageorgiou, Chris & Subramanian, Arvind, 2013. "Is newer better? Penn World Table Revisions and their impact on growth estimates," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 255-274.
- Simon Johnson & William Larson & Chris Papageorgiou & Arvind Subramanian, 2009. "Is Newer Better? Penn World Table Revisions and Their Impact on Growth Estimates," NBER Working Papers 15455, National Bureau of Economic Research, Inc.
- J. Vernon Henderson & Adam Storeygard & David N. Weil, 2009.
"Measuring Economic Growth from Outer Space,"
NBER Working Papers
15199, National Bureau of Economic Research, Inc.
- Simon Kuznets, 1937. "National Income and Capital Formation, 1919-1935," NBER Books, National Bureau of Economic Research, Inc, number kuzn37-1, March.
- Dale Jorgenson & J. Steven Landefeld & William D. Nordhaus, 2006. "A New Architecture for the U.S. National Accounts," NBER Books, National Bureau of Economic Research, Inc, number jorg06-1, March.
When requesting a correction, please mention this item's handle: RePEc:cwl:cwldpp:1857. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Matthew C. Regan)
If references are entirely missing, you can add them using this form.