It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries
<p dir="ltr">This paper shows that we can use social media data to improve the accuracy of GDP estimates at the country level for developing countries. I use all publicly available image tweets from 2012 and 2013 to estimate GDP at the country level for developing countries. First, I...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2023
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إضافة وسم
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| _version_ | 1864513522140971008 |
|---|---|
| author | Agustín Indaco (21633494) |
| author_facet | Agustín Indaco (21633494) |
| author_role | author |
| dc.creator.none.fl_str_mv | Agustín Indaco (21633494) |
| dc.date.none.fl_str_mv | 2023-07-04T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/engproc2023039049 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/conference_contribution/It_Can_t_Get_No_Worse_Using_Twitter_Data_to_Improve_GDP_Estimates_for_Developing_Countries/31444201 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Economics Applied economics Information and computing sciences Information systems Mathematical sciences Statistics national accounts social media data nowcasting |
| dc.title.none.fl_str_mv | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries |
| dc.type.none.fl_str_mv | Text Conference contribution info:eu-repo/semantics/publishedVersion text conference object |
| description | <p dir="ltr">This paper shows that we can use social media data to improve the accuracy of GDP estimates at the country level for developing countries. I use all publicly available image tweets from 2012 and 2013 to estimate GDP at the country level for developing countries. First, I find that one can explain 76% of the cross-country variation in GDP with the volume of tweets sent from each country. I then show that the residuals on these Twitter-GDP estimates are significantly larger for countries with allegedly poor data quality. I then use Nigeria as a case study to show that this method delivers much more timely and accurate estimates than those presented by official statistic agencies.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: ITISE 2023<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/engproc2023039049" target="_blank">https://dx.doi.org/10.3390/engproc2023039049</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_0a057db6b49b0d34ab02659d2f084cc5 |
| identifier_str_mv | 10.3390/engproc2023039049 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/31444201 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing CountriesAgustín Indaco (21633494)EconomicsApplied economicsInformation and computing sciencesInformation systemsMathematical sciencesStatisticsnational accountssocial media datanowcasting<p dir="ltr">This paper shows that we can use social media data to improve the accuracy of GDP estimates at the country level for developing countries. I use all publicly available image tweets from 2012 and 2013 to estimate GDP at the country level for developing countries. First, I find that one can explain 76% of the cross-country variation in GDP with the volume of tweets sent from each country. I then show that the residuals on these Twitter-GDP estimates are significantly larger for countries with allegedly poor data quality. I then use Nigeria as a case study to show that this method delivers much more timely and accurate estimates than those presented by official statistic agencies.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: ITISE 2023<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/engproc2023039049" target="_blank">https://dx.doi.org/10.3390/engproc2023039049</a></p>2023-07-04T03:00:00ZTextConference contributioninfo:eu-repo/semantics/publishedVersiontextconference object10.3390/engproc2023039049https://figshare.com/articles/conference_contribution/It_Can_t_Get_No_Worse_Using_Twitter_Data_to_Improve_GDP_Estimates_for_Developing_Countries/31444201CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/314442012023-07-04T03:00:00Z |
| spellingShingle | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries Agustín Indaco (21633494) Economics Applied economics Information and computing sciences Information systems Mathematical sciences Statistics national accounts social media data nowcasting |
| status_str | publishedVersion |
| title | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries |
| title_full | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries |
| title_fullStr | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries |
| title_full_unstemmed | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries |
| title_short | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries |
| title_sort | It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries |
| topic | Economics Applied economics Information and computing sciences Information systems Mathematical sciences Statistics national accounts social media data nowcasting |