This note examines the experiment performed by Beaton, Rubin, and Barone (1976) to study the effect of rounding errors in published figures, when these data are used in regression analysis. The experiment could be vitiated by the fact that the error introduced in the trend variable is by no means trivial when one measures the data in deviation from the mean. For this reason, the results presented in Beaton, Rubin, and Barone (1976) do not contain enough evidence to suggest "that it is extremely unlikely that the unperturbed solution" (p. 161) of the Longley model is the correct one.Publicad
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
If rounded data are used in estimating moments and regression coefficients, the estimates are typica...
This note examines the experiment performed by Beaton, Rubin, and Barone (1976) to study the effect ...
We present a survey of possible algorithms and their rounding off tranca tion, arithmetic error bou...
Dempster and Rubin (D&R) in their (1983) JRSSB paper considered the statistical error caused by ...
Since data for statistical analysis are always given in a discretized form, observations contain not...
Numerical issues matter in statistical analysis. Small errors occur when numbers are translated from...
This is the final version. Available from the American Economic Association via the DOI in this reco...
In Brodeur, Cook, and Heyes (2020) we present evidence that instrumental variable (and to a lesser e...
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
Most empirical social scientists are surprised that low-level numerical issues in software can have ...
In this paper we give reason to hope that errors in regression variables are not as harmful as one m...
We present a survey of possible algorithms and their rounding off trancation, arithmetic error bound...
A detailed investigation of three different rounding rules for multiplication and division is presen...
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
If rounded data are used in estimating moments and regression coefficients, the estimates are typica...
This note examines the experiment performed by Beaton, Rubin, and Barone (1976) to study the effect ...
We present a survey of possible algorithms and their rounding off tranca tion, arithmetic error bou...
Dempster and Rubin (D&R) in their (1983) JRSSB paper considered the statistical error caused by ...
Since data for statistical analysis are always given in a discretized form, observations contain not...
Numerical issues matter in statistical analysis. Small errors occur when numbers are translated from...
This is the final version. Available from the American Economic Association via the DOI in this reco...
In Brodeur, Cook, and Heyes (2020) we present evidence that instrumental variable (and to a lesser e...
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
Most empirical social scientists are surprised that low-level numerical issues in software can have ...
In this paper we give reason to hope that errors in regression variables are not as harmful as one m...
We present a survey of possible algorithms and their rounding off trancation, arithmetic error bound...
A detailed investigation of three different rounding rules for multiplication and division is presen...
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
There are over three decades of largely unrebutted criticism of regression analysis as practiced in ...
If rounded data are used in estimating moments and regression coefficients, the estimates are typica...