Sentence examples for sample selectivity problem from inspiring English sources

Using the MNL model for this research analysis gives rise to a sample selectivity problem because only those who perceive climate change will adapt the adverse impacts of climate change.

The latter approach does not suffer from the sample selectivity problem.

This study, however, confirms that conditional estimates do not suffer from the sample selectivity problem, in-line with a study conducted in Côte d'Ivoire [ 6].

Such estimate poses several problems due to sample selectivity problems and an under-reporting of the incidence of illness.

Koenker and Hallock [ 32] warn against the temptation to simply segment the outcome variable, e.g., HAZ, into subsets based on outcomes values, e.g., deciles of HAZ values, and run standard regressions on these segments separately, since this introduces sample selectivity problems.

Statistically speaking, there may be a sample-selection problem.

We therefore rely on sample selectivity probit model to overcome these problems.

It is always difficult to measure turnout using survey questions due to the problems of over-reporting, sample selectivity, social desirability bias and the stimulus effects of pre-elections interviews (e.g. Aarts and Wessels, 2005; Bernstein et al., 2001; Karp and Brockington, 2005).

We adopt the sample selectivity probit model to deal with the situation at hand.

The sample selectivity probit model is adopted as it has an intrinsic ability to account for selectivity bias and make corrections simultaneously, as well as deal with endogeneity.

There are two potential sources for a possible selectivity problem in our work: first, we only look at wage earners; hence, selectivity to employment could be a potential problem.