We propose a new model framework to investigate missing-data induced selection bias (SB). Drawing on the missing at random (MAR) and missing not at random (MNAR) taxonomy of the multiple imputation approach, we show that SB is predicated on MNAR and is empirically assessable by sensitivity...

Multiple imputation (MI) techniques are applied to simulate missing wage rates of nonworking wives under the missing-at-random (MAR) condition. The assumed selection effect of the labour force participation decision is framed as deviations of the imputed wage rates from MAR. By varying the...

An innovative and simple experiment with cross-section data ordering is carried out to exploit a basic feature between many economic variables – nonlinear scale dependence. The experiment is tried on hedonic price models using two data sets: automobiles and computers. Our key findings are: (a)...

An innovative and simple experiment with cross-section data ordering is carried out to exploit a basic and common feature between many economic variables–nonlinear scale dependence. The experiment is tried on hedonic price regression models using two data sets, one for automobiles and the...