Cited by 470Accounting and Organizational ManagementEconomic Theory and InstitutionsMerger and Competition Analysis

An Empirical Framework for Testing Theories About Complimentarity in Organizational Design

Open access
Athey, Susan, Stern, Scott·1998·National Bureau of Economic Research

Abstract

This paper studies alternative empirical strategies for estimating the effects of organization design practices on performance, as well as the factors which determine organizational design, in a cross-section of firms. Our economic model is based on a firm where multiple organizational design practices are en endogenously determined, and these organizational design practices affect output through an 'organizational design production function.' The econometric model includes unobserved exogenous variation in the costs and returns to each of the individual practices. The model is used to evaluate how different econometric strategies for testing theories about complementarity can be interpreted under alternative assumptions about the economic and statistical environment. We identify plausible hypotheses about the joint distribution of the unobservables under which several different approaches from the existing literature will yield biased and inconsistent estimates. We show that the sign of the bias depends on two factors: whether the organzational design practices are complements, and the correlation between the unobserved returns to each practice. We find several sets of conditions under which the sign of the bias can be determined, and we provide economic interpretations. Our analysis shows that for a particular set of hypotheses, a variety of different procedures may all yield qualitatively similar biases, presenting a challenge for the identification of complementarity. We then propose a structural approach, which is based on a system of simultaneous equations describing productivity and the demand for organizational design practices. As long as exogenous variables are observed which are uncorrelated with the unobserved returns to practices, the structural parameters are identified, yielding consistent tests for complementarity as well as the cross-equation restrictions implied by static optimization of the organizatin's profit function.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3386/w6600

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The firm has a fairly rigorous data collection process.

    “For example, our firm has a fairly rigorous data collection process: firms that do not may make different adoption decisions and have different potential returns(Athey and Stern, 1998).”

    From Hiring as Exploration (2020) · cites this paper as Athey and Stern, 1998

    The Introduction (p. 4) describes firms making adoption decisions based on differing costs and benefits, and Section 5 (p. 30) discusses unobserved returns to practices. But the paper does not link those differences to whether a firm has a rigorous data-collection process. The citing authors’ description of their own firm is not a claim about this source. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 20

  1. Anderson, E., and D. Schmittlein (1984), "Integration of the Sales Force: An Empirical Examination," RAND Journal of Economics, 15: 385-95.
  2. Arora, Ashish (1996), "Testing for Complementarities in Reduced Form Regressions: A Note," Economics Letters 50(1): 51-55.
  3. Arora, A. and A. Gambardella (1990), "Complementarity and External Linkages: The Strategies of the Large Firms in Biotechnology," Journal of Industrial Economics, 38 (4): 362-379.
  4. Cohen, M., J. March, and J. Olsen (1972), "A Garbage Can Model of Organizational Choice," Administrative Science Quarterly, 17: 1-25.
  5. Christensen, L.R.; Jorgenson, D.W.; Lau, L.J. (1973), "Transcendental Logarithmic Production Frontiers," Review of Economics and Statistics, 55: 28-45.
  6. Colombo, M. and R. Mosconi (1995), "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, 43(1): 1348. osss sis in s ossit osi s, (it ssi) in: Barnett, W.A et al, eds. Nonparametric and semiparametric methods in econometrics and statistics: Proceedings of the Fifth International Symposium in Economic Theory and Econometrics. Cambridge University Press, pp. 3-49.
  7. Gourieroux, C., Holly, A., and A. Monfort (1981), "Kuhn-Tucker, Likelihood Ratio, and Wald Tests for Nonlinear Models with Inequality Constraints," Journal of Econometrics, 16(1).
  8. Hannan, M., and S. Freeman (1989), Organizational Ecology, Harvard University Press: Cambridge, MA.
  9. Volume III, Z. Griliches and M.D. Intriligator, ed., pp. 1917-1977.
  10. Holmstrom, B. and P. Milgrom (1994), "The Firm as an Incentive System," American Economic Review, 84: 972-991.
  11. Ichimura, H. and L. Lee (1991), "Semiparametric least squares estimation of multiple index models: Single equation estimation," in: Barnett, W..; Powell, J.; Tauchen, G.E., eds. Nonparametric and semiparametric methods in econometrics and statistics: Proceedings of the Fifth International Symposium in Economic Theory and Econometrics. Cambridge University Press, pp. 3-49.
  12. Ichniowski, C., K. Shaw, and G. Prennushi (1997), "The Effects of Human Resource Management Practices on Productivity,"American Economic Review, 87(3): 291-313.
  13. Jorgenson, D.W. (1995), Productivity, MIT Press, Cambridge (MA).
  14. MacDuffie, J. (1995), "Human Resource Bundles and Manufacturing Performance: Organizational Logic and Flexible Production Systems in the World Auto Industry," Industrial and Labor Relations Review, 48 (2).
  15. McElroy, M. (1986), "Additive General Error Models for Production, Cost, and Derived Demand or Share Systems," Journal of Political Economy 95 (4): 737-757.
  16. McFadden, D. (1989), "A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Econometrica 57 (5): 995-1026.
  17. McFadden, D. and P.A. Ruud (1994), "Estimation by Simulation," Review of Economics and Statistics, 76(4): 591-608.
  18. Milgrom, P., and J. Roberts (1990), "The Economics of Modern Manufacturing: Technology, Strategy, and Organization,"American Economic Review, 80 (6): 511-528.
  19. Nelson, R., and S. Winter (1982), An Evolutionary Theory of Economic Change, Harvard University Press, Cambridge (MA).
  20. Wolak, F. (1989), "Testing Inequality Constraints in Linear Econometric Models, " Journal of Econometrics, 41(2).

Cited by

Sorted by citations

Authors
Athey, S., & Stern, S.
Affiliations
  • Stanford University (US)
  • Northwestern University (US)
Venue
National Bureau of Economic Research
Published
1998-06
OpenAlex
W1542310541
Cited by
470
References
1
Citations by year
2026: 4 · 2025: 7 · 2024: 3 · 2023: 5 · 2022: 12 · 2021: 9 · 2020: 11 · 2019: 15 · 2018: 17 · 2017: 13 · 2016: 13 · 2015: 19 · 2014: 23 · 2013: 27 · 2012: 20
Type
report
Language
en
Open access
Locations
  • National Bureau of Economic Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • National Bureau of Economic Research (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Accounting and Organizational Management
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Theory and Institutions
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Merger and Competition Analysis
Keywords
organizational design, complementarity, firm performance, estimation bias, structural estimation, simultaneous equations model, productivity

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