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The Return to R&D and Seller-buyer Interactions: A Quantile Regression Approach

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    In this paper we analyze whether a firm’s return to its R&D stock is affected by seller-buyer interactions. We suggest that firms that are in close contact with their customers will be relatively more sensitive to their customers’ needs, and therefore adjust their R&D activities accordingly. This, in turn, will boost sales and increase the return to R&D. To the extent that seller-buyer interactions are costly, large and productive firms will have an advantage in overcoming such costs. We test these hypotheses using a fixed effects quantile regression framework. Results suggest that large firms active in industries characterized by frequent seller-buyer interactions have a higher return to R&D than other firms.

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    Paper provided by The Ratio Institute in its series Ratio Working Papers with number 231.

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    Length: 33 pages
    Date of creation: 09 Jun 2014
    Date of revision:
    Handle: RePEc:hhs:ratioi:0231
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