Illuminating Economic Growth /:
This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on the...
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Washington, D.C.] :
International Monetary Fund,
[2019]
|
| Schriftenreihe: | IMF working paper ;
WP/19/77. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on the country's statistical capacity and the relationship between nighttime lights and true GDP per capita can be nonlinear and vary with geographic location. This paper uses recently developed results for measurement error models to identify and estimate the nonlinear relationship between nighttime lights and true GDP per capita and the nonparametric distribution of errors in official GDP per capita data. We then construct more precise and robust measures of GDP per capita using nighttime lights, official national accounts data, statistical capacity, and geographic locations. We find that GDP per capita measures are less precise for middle and low income countries and nighttime lights can play a bigger role in improving such measures. |
| Beschreibung: | 1 online resource (57 pages) |
| ISBN: | 1498302947 1498310788 9781498302944 9781498310789 |
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| 520 | 3 | |a This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on the country's statistical capacity and the relationship between nighttime lights and true GDP per capita can be nonlinear and vary with geographic location. This paper uses recently developed results for measurement error models to identify and estimate the nonlinear relationship between nighttime lights and true GDP per capita and the nonparametric distribution of errors in official GDP per capita data. We then construct more precise and robust measures of GDP per capita using nighttime lights, official national accounts data, statistical capacity, and geographic locations. We find that GDP per capita measures are less precise for middle and low income countries and nighttime lights can play a bigger role in improving such measures. | |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:04:25Z |
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| isbn | 1498302947 1498310788 9781498302944 9781498310789 |
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| spelling | Hu, Yingyao, author. Illuminating Economic Growth / Hu, Yingyao. [Washington, D.C.] : International Monetary Fund, [2019] ©2019 1 online resource (57 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier IMF Working Paper ; WP/19/77 This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on the country's statistical capacity and the relationship between nighttime lights and true GDP per capita can be nonlinear and vary with geographic location. This paper uses recently developed results for measurement error models to identify and estimate the nonlinear relationship between nighttime lights and true GDP per capita and the nonparametric distribution of errors in official GDP per capita data. We then construct more precise and robust measures of GDP per capita using nighttime lights, official national accounts data, statistical capacity, and geographic locations. We find that GDP per capita measures are less precise for middle and low income countries and nighttime lights can play a bigger role in improving such measures. Print version record. Economic development Evaluation. Développement économique Évaluation. Economic development Evaluation fast Yao, Jiaxiong, author. IMF e-Library - York University. has work: ILLUMINATING ECONOMIC GROWTH (Work) https://id.oclc.org/worldcat/entity/E39PCXhx6jVT8j9RCH8r7C6Djd https://id.oclc.org/worldcat/ontology/hasWork Print version: Illuminating Economic Growth. Washington, D.C. : International Monetary Fund, 2019 IMF working paper ; WP/19/77. http://id.loc.gov/authorities/names/no89010263 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2117029 Volltext |
| spellingShingle | Hu, Yingyao Yao, Jiaxiong Illuminating Economic Growth / IMF working paper ; Economic development Evaluation. Développement économique Évaluation. Economic development Evaluation fast |
| title | Illuminating Economic Growth / |
| title_auth | Illuminating Economic Growth / |
| title_exact_search | Illuminating Economic Growth / |
| title_full | Illuminating Economic Growth / Hu, Yingyao. |
| title_fullStr | Illuminating Economic Growth / Hu, Yingyao. |
| title_full_unstemmed | Illuminating Economic Growth / Hu, Yingyao. |
| title_short | Illuminating Economic Growth / |
| title_sort | illuminating economic growth |
| topic | Economic development Evaluation. Développement économique Évaluation. Economic development Evaluation fast |
| topic_facet | Economic development Evaluation. Développement économique Évaluation. Economic development Evaluation |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2117029 |
| work_keys_str_mv | AT huyingyao illuminatingeconomicgrowth AT yaojiaxiong illuminatingeconomicgrowth AT imfelibraryyorkuniversity illuminatingeconomicgrowth |