A Monte Carlo experiment is carried out to examine the small sample properties of ordinary least squares, indirect least squares, Hoch's, and Klein's estimates of the parameters of the Cobb-Douglas production function. A perfectly competitive model of firms in a single industry is considered in nine situations which differ in the behavior of the disturbances, the variability of inputs, and the position of the average firm. In each case 200 samples of size 20 and 200 samples of size 100 were obtained to approximate the sampling distribution of the various estimators.
MLA
Kmenta, J., and M. E. Joseph. “A Monte Carlo Study of Alternative Estimates of the Cobb-Douglas Production Function.” Econometrica, vol. 31, .no 3, Econometric Society, 1963, pp. 363-385, https://www.jstor.org/stable/1909977
Chicago
Kmenta, J., and M. E. Joseph. “A Monte Carlo Study of Alternative Estimates of the Cobb-Douglas Production Function.” Econometrica, 31, .no 3, (Econometric Society: 1963), 363-385. https://www.jstor.org/stable/1909977
APA
Kmenta, J., & Joseph, M. E. (1963). A Monte Carlo Study of Alternative Estimates of the Cobb-Douglas Production Function. Econometrica, 31(3), 363-385. https://www.jstor.org/stable/1909977
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.