Continuous Dependent Variables and Organizational Ecology: Toward a more Perfect Union

Continuous Dependent Variables and Organizational Ecology: Toward a more Perfect Union In this paper, I review all previously published organizational ecology research which utilizes continuous dependent variables. I unearth twenty-one such studies, half of which were published within the past four years. The broadening array of dependent variables in this field is a most welcome development. However, each of these papers has at least one methodological limitation, in specification of cross-unit effects and/or controls for autocorrelation. Perhaps the most serious problem is the assertion that the fixed effects research design solves the problem of autocorrelation. I demonstrate that this assertion is untrue. I conclude with advice on the proper way to model continuous dependent variables in organizational ecology research, as follows: (1) Consider omitting all organizations which do not exist for more time periods than the number of independent variables. (2) Test for autocorrelation, report the results, and correct for autocorrelation if the test indicates that it is a problem. (3) Use a fixed effects model, and justify it based on the nonrandomness of the data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Continuous Dependent Variables and Organizational Ecology: Toward a more Perfect Union

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2003 by Kluwer Academic Publishers
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1023/A:1027366213374
Publisher site
See Article on Publisher Site

Abstract

In this paper, I review all previously published organizational ecology research which utilizes continuous dependent variables. I unearth twenty-one such studies, half of which were published within the past four years. The broadening array of dependent variables in this field is a most welcome development. However, each of these papers has at least one methodological limitation, in specification of cross-unit effects and/or controls for autocorrelation. Perhaps the most serious problem is the assertion that the fixed effects research design solves the problem of autocorrelation. I demonstrate that this assertion is untrue. I conclude with advice on the proper way to model continuous dependent variables in organizational ecology research, as follows: (1) Consider omitting all organizations which do not exist for more time periods than the number of independent variables. (2) Test for autocorrelation, report the results, and correct for autocorrelation if the test indicates that it is a problem. (3) Use a fixed effects model, and justify it based on the nonrandomness of the data.

Journal

Quality & QuantitySpringer Journals

Published: Oct 17, 2004

References

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