A propensity score matching method for the link between accessibility and productivity

Tom Petersen ()

ERSA conference papers from European Regional Science Association

Abstract: The connection between accessibility (or "highways" or "infrastructure") and productivity on a regional scale has been a matter of debate since Aschauer (1989). In this paper we use a panel data approach on the micro level, and a fine zonal subdivision in order to capture the effects on individual firms, both in terms of productivity and agglomeration. We study a cost function with a translog specification which we apply on a large unbalanced data set of firms in the Swedish part of the Öresund region: Scania. We use matching estimators for non-parametric tests of spatial dependence (agglomeration) and the accessibility dependence of productivity, thus avoiding sample selection bias. Key words: panel data, cost function, translog, Öresund region, accessibility, matching estimator

Date: 2003-08
New Economics Papers: this item is included in nep-geo and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa03p18

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