dc.contributor.author | CHONG, Alberto | |
dc.contributor.author | ZANFORLIN, Luisa | |
dc.date.accessioned | 2024-05-21T07:31:45Z | |
dc.date.available | 2024-05-21T07:31:45Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | IMF staff papers, 2002, Vol. 49, No. 3, pp. 426-455 | en |
dc.identifier.isbn | 9781589061224 | |
dc.identifier.issn | 1020-7635 | |
dc.identifier.issn | 1564-5150 | |
dc.identifier.uri | https://hdl.handle.net/1814/76873 | |
dc.description | Published: 23 September 2002 | en |
dc.description.abstract | Evidence from historical and epidemiological literatures shows that epidemies tend to spread in the population according to a logistic pattern. We conjecture that the impact of new technologies on output follows a pattern of spread not unlike that of typical epidemies. A ft er reaching a critical mas s. rates of growth will accelerate until the marginal benefits of technology are jully utilized. We estimate spline functions using a GMM dynamic panel methodology for 79 countries. We use imports ofmachinery and equipment as a fraction of gross domestic product as a proxy for the process of technological adoption. Results confirm our hypothesis. | en |
dc.language.iso | en | en |
dc.publisher | International Monetary Fund | en |
dc.relation.ispartof | IMF staff papers | en |
dc.relation.isbasedon | https://hdl.handle.net/1814/5116 | en |
dc.title | Technology and epidemics | en |
dc.type | Article | en |
dc.identifier.doi | 10.5089/9781589061224.024 | |
dc.identifier.volume | 49 | en |
dc.identifier.startpage | 426 | en |
dc.identifier.endpage | 455 | en |
dc.identifier.issue | 3 | en |
dc.description.version | The article is based on findings of the author’s EUI PhD thesis, 1996 | en |