0000000000222015
AUTHOR
James H. Love
Quantifying sunk costs and learning effects in R&D persistence
Abstract This paper analyzes and quantifies the fundamental factors that are likely to cause persistence in performing R&D activities: the existence of sunk costs associated with R&D activities and the process of learning that characterizes this type of activity. We estimate our model with Spanish manufacturing firms for the period 1991-2014. By decomposing the effects of sunk costs and learning effects, we find that both are important determinants of R&D persistence, and that failing to allow for learning systematically overestimates sunk cost effects. Both large firms and SMEs benefit from direct and indirect (via productivity) effects of R&D experience, but in large firms this is more li…
Persistence in exporting: Cumulative and punctuated learning effects
Abstract We develop a model of export persistence which is based around different patterns of learning by exporting. Cumulative previous exporting can help lengthen subsequent exporting spells, but this can be compromised by the punctuated learning arising from a pattern of sporadic exporting. Firms with episodic exporting exhibit different learning patterns from continuous exporters, and are less likely to develop the deep routine-based learning that comes from constant exposure to managing export markets. Using data from Spanish manufacturers over a 22 year period we find support for a model of differences in export persistence arising from cumulative and punctuated learning by exporting.