The distribution of personal income is approximated by a two-parameter gamma density function (Pearson Type III). The two parameters may be considered as indicators of scale and of inequality, respectively. Maximum likelihood estimates of the parameters are derived from a random sample using graphical techniques, and a likelihood ratio test for the hypothesis that the inequality parameter is the same for different distributions is presented. The derivation of both the estimates and the test statistic requires computing the arithmetic and geometric means from the sample. An empirical application, including a comparison of the gamma and lognormal distributions to demonstrate the better fit of the gamma, is made to personal income data in the United States for the years 1960 to 1969. Using the gamma density, inequality is shown to decrease when unemployment or inflation decreases, or when the real national product increases.
MLA
Salem, A. B. Z., and T. D. Mount. “A Convenient Descriptive Model of Income Distribution: The Gamma Density.” Econometrica, vol. 42, .no 6, Econometric Society, 1974, pp. 1115-1128, https://www.jstor.org/stable/1914221
Chicago
Salem, A. B. Z., and T. D. Mount. “A Convenient Descriptive Model of Income Distribution: The Gamma Density.” Econometrica, 42, .no 6, (Econometric Society: 1974), 1115-1128. https://www.jstor.org/stable/1914221
APA
Salem, A. B. Z., & Mount, T. D. (1974). A Convenient Descriptive Model of Income Distribution: The Gamma Density. Econometrica, 42(6), 1115-1128. https://www.jstor.org/stable/1914221
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.