In his comment on our [Gerdtham and Jiinsson (1991)] results concerning conversion factor instability in regressions of per capita health care expenditure on per capita GDP based on cross-sectionals of 22 OECD countries,’ Murthy (1992) makes two points. First, he questions the assumption of residual homoscedasticity across countries that we, and Parkin et al. (1987), made in regressions (1)+3). Second, he questions the appropriateness of the Least Square estimator (LS) that we (and Parkin et al.) used to estimate the regression coefficients of the simple two-variable model. Murthy argues that the sample of countries is such that one could expect problems with both residual heteroscedasticity and outliers. Consequently, he uses White’s heteroscedastic consistent covariance matrix estimator to re-estimate the standard errors of the regression coefficients using our data [White (1980)]. Murthy has also calculated various measures to check for the presence of outliers (pp. 3-4). This exercise led to the detection of three observations which might influence the regression coefftcients. Since LS is based on squared deviations from the regression line c (yi-a-pxi)‘, there will be a