We compute aggregate productivity of manufacturing industries by urban, rural less sparse and rural sparse locations in the UK from firm-specific total factor productivities, which are estimated by a semi-parametric algorithm within 4-digit manufacturing industries using FAME data over the...

We compute the productivity gaps in manufacturing industries by urban, rural less sparse and rural sparse locations in the UK. This is done by using firm-specific total factor productivities, which are estimated by a semi-parametric algorithm within 4-digit manufacturing industries using FAME...

Within a structural model we explicitly allow for the trade orientation of companies to estimate productivity dynamics within 4-digit UK manufacturing industries. We use the FAME data on UK companies over the period 1994-2003. Following Ackerberg et al. (2005) we adjust the algorithm in Olley...

The focus of the paper is on evaluating the productivity gap between rural and urban locations in the UK using micro data. We build a structural model of the unobservable productivity emphasising the link between productivity and spatial density of economic activity and adapt the semi-parametric...

Within a structural model we explicitly allow for the trade orientation of companies to estimate productivity dynamics within 4-digit UK manufacturing industries. We use the FAME data on UK companies over the period 1994-2003. Following Ackerberg et al. (2005) we adjust the algorithm in Olley...

We estimate productivity dynamics within 4-digit manufacturing industries, using FAME data on UK Companies, from 1994 to 2003. We extend the algorithm in Olley and Pakes (1996) to allow for a selection bias driven by the Melitz (2003) effect (high productivity types selecting to exporting) to...