Distribution-free techniques of statistical inference are developed for the cumulative coefficients of variation of an income distribution, thus allowing one to test for inequality dominance when Lorenz curves cross. The full covariance structure of the cumulative sample means and variances is...

This paper examines how the distribution of household wealth in Canada varies with age over the life cycle. The wealth distribution is characterized in terms of decile means and decile shares for each of six age groups, and comparisons between age-specific distributions are based on first- and...

In this paper, a new method is forwarded of estimating the effect of short-run macroeconomic fluctuations on concentration in the size distribution of personal income. In particular, the impacts of changes in unemployment and participation rates and in the level of wage and salary income upon...

This paper develops an exact maximum likelihood technique for estimating regression equation with general p'th order autoregressive disturbances. Recent expression of the analytic inverse of the covariance matrix of a stationary AR(p) process provide the basis for an iterative, modified...

This paper applies the recent theoretical method of Richmond (1982) on estimating joint confidence intervals to the case of Lorenz curves. Using the results of Beach and Davidson (1982) on the asymptotic distribution of a vector of Lorenz curve ordinates, the paper provides joint confidence...

The widely used Cochrane-Orcutt and Hildreth-Lu procedures for estimating the parameters of a linear regression model with first-order serial correlation typically ignore the first observation. An alternative maximum likelihood procedure is recommended in this paper. This procedure is preferable...

This paper attempts to extend and implement the theory of best linear estimation to a simultaneous equation framework. The approach involves defining a general minimum mean square error estimator for the regression coefficients of a single equation in a simultaneous equation model. Such an...

The two-stage least squares simultaneous equation estimation procedure is shown to be identical to the modified two stage least squares estimator obtained by a) replacing the right-hand side endogenous variable in a single structural equation by their reduced form regression estimates; and b)...