The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
R&D and Productivity: Estimating Endogenous Productivity
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 Griliches (1979) 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, nonlinearity, and heterogeneity across firms in the link between R&D and productivity. We also derive a novel estimator for production functions in this setting.\nUsing an unbalanced panel of more than 1800 Spanish manufacturing firms in nine industries during the 1990s, we provide evidence of nonlinearities 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Large Sample Properties of Generalized Method of Moments Estimators
Hansen, L. P. (1982) · Econometrica · doi:10.2307/1912775 · Cited by 13,467
The Dynamics of Productivity in the Telecommunications Equipment Industry
Olley, G. S., & Pakes, A. (1996) · Econometrica · doi:10.2307/2171831 · Cited by 7,112
Estimating Production Functions Using Inputs to Control for Unobservables
Levinsohn, J., & Petrin, A. (2003) · Review of Economic Studies · doi:10.1111/1467-937x.00246 · Cited by 6,496
Automobile Prices in Market Equilibrium
Berry, S., Levinsohn, J., & Pakes, A. (1995) · Econometrica · doi:10.2307/2171802 · Cited by 4,883
Issues in Assessing the Contribution of Research and Development to Productivity Growth
Griliches, Z. (1979) · The Bell Journal of Economics · doi:10.2307/3003321 · Cited by 4,215
Export Versus FDI with Heterogeneous Firms
Helpman, E., Melitz, M. J., & Yeaple, S. R. (2004) · American Economic Review · doi:10.1257/000282804322970814 · Cited by 4,030
Djankov, S., La Porta, R., Lopez-de-Silanes, F., & Shleifer, A. (2002) · The Quarterly Journal of Economics · doi:10.1162/003355302753399436 · Cited by 3,956 · cited 1×
“We follow LP and ACF and do not account for sample selection by modelling a firm’s exit decision because the institutional realities in Spain render it unlikely that a firm is able to exit the industry immediately after receiving an adverse shock to productivity (see, e.g. Djankov et al., 2002).”
Jaffe, A. (1986) · National Bureau of Economic Research · doi:10.3386/w1815 · Cited by 2,808
Numerical Methods in Economics
Judd, K. L. (1998) · MIT Press Books · Cited by 2,580
Cited by
Syverson, C. (2011) · Journal of Economic Literature · doi:10.1257/jel.49.2.326 · Cited by 2,942
Koch, M., Manuylov, I., & Smolka, M. (2021) · The Economic Journal · doi:10.1093/ej/ueab009 · Cited by 452
On the Identification of Gross Output Production Functions
Gandhi, A., Navarro, S., & Rivers, D. A. (2020) · Journal of Political Economy · doi:10.1086/707736 · Cited by 367
Walras–Bowley Lecture: Market Power and Wage Inequality
Deb, S., Eeckhout, J., Patel, A., & Warren, L. (2024) · Econometrica · doi:10.3982/ecta21157 · Cited by 28
Robots and Firms’ Labor Search: The Role of Temporary Work Agencies
Beneito, P., Garcia de la Vega, M., Vicente-Chirivella, Ó., & Wilemme, G. (2025) · doi:10.2139/ssrn.5928552
Metadata
- Authors
- Doraszelski, U., & Jaumandreu, J.
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-02-23
- Volume
- 80
- Issue
- 4
- Pages
- 1338-1383
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W2117868167
- Cited by
- 522
- References
- 63
- FWCI
- 69.82
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: R&D and Productivity: Estimating Endogenous Productivity. https://app.cochat.ai/papers/10.1093/restud/rdt011
- The paper
- Doraszelski, U., & Jaumandreu, J. (2013). R&D and Productivity: Estimating Endogenous Productivity. The Review of Economic Studies. https://doi.org/10.1093/restud/rdt011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
