The regression method of adjustment for price changes produces estimates that are close to those produced by the reclassification method, especially when the results are aggregated into three sales classes The difference between the two methods is greatest for the smallest sales classes Although...

Numerous observers have charged US agricultural data systems with conceptual obsolescence Although some modernization has occurred, particularly in providing information about commercial farms, agricultural and rural data bases have failed to keep up with production and structural changes in the...

Proper stationarity assumptions (trend stationarity or difference stationarity)are important for modeling agricultural supply response in the context of time series analysis Test reults show that the assumption of trend stationarity should be a tested rather than a maintained hypothesis We...

Most economists understand linear regression as the estimation of the parameters of a linear model. There are two other ways of interpreting the results of linear regression, however, and most software packages designed specifically to handle data from complex sample surveys (for example,...