R&D and Productivity: Estimating Endogenous Productivity

S-Tier
Journal: Review of Economic Studies
Year: 2013
Volume: 80
Issue: 4
Pages: 1338-1383

Authors (2)

Ulrich Doraszelski (not in RePEc) Jordi Jaumandreu (Boston University)

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We develop a model of endogenous productivity change to examine the impact of the investment in knowledge on the productivity of firms. Our dynamic investment model extends the tradition of the knowledge capital model of <xref ref-type="bibr" rid="B30">Griliches (1979)</xref> that has remained a cornerstone of the productivity literature. Rather than constructing a stock of knowledge capital from a firm's observed R&D expenditures, we consider productivity to be unobservable to the econometrician. Our approach accounts for uncertainty, non-linearity, and heterogeneity across firms in the link between R&D and productivity. We also derive a novel estimator for production functions in this setting. Using an unbalanced panel of more than 1800 Spanish manufacturing firms in nine industries during the 1990s, we provide evidence of non-linearities as well as economically significant uncertainties in the R&D process. R&D expenditures play a key role in determining the differences in productivity across firms and the evolution of firm-level productivity over time. Copyright 2013, Oxford University Press.

Technical Details

RePEc Handle
repec:oup:restud:v:80:y:2013:i:4:p:1338-1383
Journal Field
General
Author Count
2
Added to Database
2026-01-25