Experimental Evidence on Combining Cross-Section and Time Series Information

Income and price elasticities of demand for owner–occupied housing in the UK: evidence from pooled cross–sectional and time–series data

“…The regressions were run in both loglinear form and in simple linear form, using weights, with quantity of housing as dependent variable; and including mean age of applicant, percentage of male heads of households, and percentage of non-first-time-buyers along with post-tax income and per unit price as independent variables.1° For convenience of exposition, only the income and price 9See Johnson and Lyon (1973) for a justification for the use of this technique. ' ' As the number of individual observations making up the mean from each pooled cell differs, each grouped observation was appropriately weighted.…”

Statistical Analysis and Forecasting of Economic Structural Change

“…(1979). Johnson and Lyon (1973) describe a simulation study with stochastic explanatory variables. Swamy (1971, pp.…”

Barriers to entry and competitive strategies

“…Preliminary estimates of the error term were obtained using ordinary least squares. Generalized differencing corrections were made by multiplying the variables of the original models by this term and using least squares estimates after this procedure (Johnston and Lyon, 1973;Blair and Kraft, 1974;Chang and Lee, 1977;and Mundlak, 1978).…”