Home>Publications>Econometrica>A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors
In this paper we consider a number of estimators for the linear structural simultaneous equations model containing lagged endogenous variables and autocorrelated errors. The special case is considered in which the matrix of autocorrelation coefficients of the (vector) structural error process is diagonal. We consider the two stage least squares analogue (C2SLA) in this case, its relation to the estimators proposed earlier by Fair, the estimator obtained when the autocorrelation matrix is known, and a number of instrumental variables estimators, as well as a modification of the method of scoring which yields an estimator that is asymptotically equivalent to the C2SLA estimator. The asymptotic distributions of such estimators are obtained and we determine their relative asymptotic efficiencies.
MLA
Cummins, D., et al. “A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors.” Econometrica, vol. 42, .no 2, Econometric Society, 1974, pp. 311-332, https://www.jstor.org/stable/1911981
Chicago
Cummins, D., Phoebus J. Dhrymes, and R. Berner. “A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors.” Econometrica, 42, .no 2, (Econometric Society: 1974), 311-332. https://www.jstor.org/stable/1911981
APA
Cummins, D., Dhrymes, P. J., & Berner, R. (1974). A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors. Econometrica, 42(2), 311-332. https://www.jstor.org/stable/1911981
The Executive Committee of the Econometric Society has approved an increase in the submission fees for papers in Econometrica. Starting January 1, 2025, the fee for new submissions to Econometrica will be US$125 for regular members and US$50 for student members.
By clicking the "Accept" button or continuing to browse our site, you agree to first-party and session-only cookies being stored on your device. Cookies are used to optimize your experience and anonymously analyze website performance and traffic.