The Illusions of Calculating Total Factor Productivity and Testing Growth Models: From Cobb–Douglas to Solow and Romer

Please use this identifier to cite or link to this item: https://elibrary.tucl.edu.np/handle/123456789/5568

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DC Field	Value	Language
dc.contributor.author	ADB; Felipe, Jesus; McCombie, John	-
dc.date.accessioned	2021-10-05T15:04:37Z	-
dc.date.available	2021-10-05T15:04:37Z	-
dc.date.issued	2019-10	-
dc.identifier.isbn	N/A	-
dc.identifier.isbn	N/A	-
dc.identifier.issn	2313-6537	-
dc.identifier.issn	2313-6545	-
dc.identifier.uri	https://www.adb.org/publications/total-factor-productivity-testing-growth-models	-
dc.identifier.uri	https://elibrary.tucl.edu.np/handle/123456789/5568	-
dc.description	This paper shows why aggregate production functions seem to work empirically. Aggregate production functions yield high fits and factor elasticities close to the corresponding factor shares because they are approximations to an accounting identity. Authors show through a series of examples why one learns little from the neoclassical growth literature published during the last 6 decades.	-
dc.format.extent	40	-
dc.subject.other	Economic data	-
dc.subject.other	Economic research	-
dc.subject.other	Economics	-
dc.subject.other	Trade finance	-
dc.title	The Illusions of Calculating Total Factor Productivity and Testing Growth Models: From Cobb–Douglas to Solow and Romer	-
local.publication.country	Regional - Asia and the Pacific	-
Appears in Collections:	ADB Collections

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