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Productivity As If Space Mattered

Title: Productivity As If Space Mattered
Authors: Wenya Cheng; John Morrow; Kitjawat Tacharoen Abstract; We Thank Maria Bas; Fabrice Defever; Swati Dhingra; Ben Faber; Alan Manning; Monique Newiak; Emanuel Ornelas; Gianmarco Ottaviano; Tom Sampson; Laura Schechter; Daniel Sturm
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://cep.lse.ac.uk/pubs/download/dp1181.pdf.
Publication Year: 2012
Collection: CiteSeerX
Subject Terms: Economic Performance is financed by the Economic and Social Research Council
Description: Optimal production decisions depend on local market characteristics. This paper develops a model to explain firm labor demand and firm density across regions. Firms vary in their technology to combine imperfectly substitutable worker types, and locate across regions with distinct distributions of workers and wages. Firm technologies which best match regional labor markets explain both productivity differences and firm density. Estimating structural model parameters is simple and relies on a two stage OLS procedure. The first stage estimates local market conditions using firm employment and regional data, while the second incorporates regional costs into production function estimation. The method is applied to Chinese manufacturing, population census and geographic data to estimate local market costs and production technologies. In line with the model, we find that labor markets which provide cost advantages explain substantial differences in firm productivity. Furthermore, regions which have lower optimal hiring costs attract more firms per capita.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.269.7069; http://cep.lse.ac.uk/pubs/download/dp1181.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.269.7069; http://cep.lse.ac.uk/pubs/download/dp1181.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.1BEFACF2
Database: BASE