The phrase "a selectivity bias" is correct and usable in written English.
It can be used in contexts discussing research, statistics, or data analysis where certain groups or data points are favored over others, potentially skewing results.
Example: "The study's findings were questionable due to a selectivity bias in the sample population, which did not represent the broader community."
Alternatives: "a sampling bias" or "a selection bias".
It's impossible to say for sure, but a selectivity bias may be at work.
Furthermore, the extent to which government funding is actually used for research by the firms often remains unclear and the public funding decisions often lead to a selectivity bias, thus making public funding an endogenous variable, which establishes further dependencies between the respective variables (Busom, 2000).
Among the 70 79 age group, the upward shift ceases but this result probably represents a selectivity bias rather than a true trend.
We estimate the following wage equation using a correction for a double selectivity bias (Tunali, 1986): ln w i m = α + b 3 x 3 + c 13 λ 1 i + c 23 λ 2 i + D s + D t + D c + u i (3).
This allows us to take into account a double selectivity bias due to involuntary unemployment or feedback effects between demand and supply 11.
Second, the method controls for differences in occupational or sectoral composition between natives and immigrants rather than explaining the process of sorting into groups with different productivity; it is therefore prone to a "potential selectivity bias".
The estimate of ρ provides a test for selectivity bias.
Similar to Eastough and Miller [ 9], this study does not correct for selectivity bias that would require a more complex selection mechanism than the single selection mechanism.
The model estimates a first-stage probit of participation decision, derives an inverse mills ratio (IMR) and then estimates a second-stage ordinary least squares (OLS) with the IMR as a variable to account for selectivity bias.
The significance of ρ indicates the existence of selectivity bias, and an internal correction of this bias is provided.
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.
