Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/65461 
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dc.contributor.authorEberhardt, Markusen
dc.contributor.authorTeal, Francisen
dc.date.accessioned2012-01-23-
dc.date.accessioned2012-10-24T12:02:14Z-
dc.date.available2012-10-24T12:02:14Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/10419/65461-
dc.description.abstractThe cross-country growth literature commonly uses aggregate economy datasets such as the Penn World Table (PWT) to estimate homogeneous production function or convergence regression models. Against the background of a dual economy framework this paper investigates the potential bias arising when aggregate economy data instead of sectoral data is adopted in macro production function regressions. Using a unique World Bank dataset we estimate production functions in agriculture and manufacturing for a panel of 41 developing and developed countries (1963-1992). We employ novel empirical methods which can accommodate technology heterogeneity, variable nonstationarity and the breakdown of the standard crosssection independence assumption. We focus on technology heterogeneity across sectors and countries and the potential for biased estimates due to aggregation and empirical misspecification, relying on both theory and empirical evidence. Using data for a stylised aggregate economy made up of agricultural and manufacturing sectors we confirm substantial bias in the technology coefficients and thus any total factor productivity measures computed. Our empirical findings imply that sectoral structure is of crucial importance in the analysis of growth and development, thus strengthening the recent revival of research on structural change in development economics.en
dc.language.isoengen
dc.publisher|aThe University of Nottingham, Centre for Research in Economic Development and International Trade (CREDIT) |cNottinghamen
dc.relation.ispartofseries|aCREDIT Research Paper |x11/08en
dc.subject.jelO47en
dc.subject.jelO11en
dc.subject.jelC23en
dc.subject.ddc330en
dc.subject.keyworddual economy modelen
dc.subject.keywordcross-country production functionen
dc.subject.keywordaggregation biasen
dc.subject.keywordtechnology heterogeneityen
dc.subject.keywordcommon factor modelen
dc.subject.keywordpanel time series econometricsen
dc.titleAggregation versus heterogeneity in cross-country growth empirics-
dc.typeWorking Paperen
dc.identifier.ppn683936816en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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