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They estimate both cross-sectional and fixed effects models correcting for unobserved ability effects, but they do not perform separate analyses for natives and immigrants.
This is done by employing count data models (correcting for the excessive number of zeros whenever necessary) to identify the main factors associated with the location of existing and new firms in these sectors in Brazilian labor market areas.
On the basis of pseudo-longitudinal data for 2011 from the Education Quality Measurement System and teachers' administrative records, we employed value-added and fixed-effect models correcting for sorting-bias, to assess the overall contribution of teachers to student achievement and identify which teacher characteristics enhance teacher effectiveness.
Multivariate models correcting for nesting of students within schools tested associations between demographics, TB symptoms, transmission, prevention knowledge, and intention to seek and adhere to treatment.
Several models were compared and the models correcting for kinship (K) and two to three principal components (PCAs) fitted our data best, had the lowest inflation-factor and therefore the lowest false-discovery rate.
The relationship between time-to-remission and sustainability of remission was analyzed using longitudinal binary regression (mixed models), correcting for repeated measurements (autoregressive covariance structure) and using a logit link function for binary data.
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Unlike Poisson models, NBREG models correct for this over-dispersion by including a parameter that accounts for unobserved heterogeneity (Long and Freese 2001).
Both the logistic regression and linear regression models corrected for age, and Acute Physiology and Chronic Health Evaluation (APACHE) II score.
Even though NBR and ZIP models correct for equality of the conditional mean and variance of the distribution, they also induce an over-dispersion problem (Mullahy 1986; Greene 2002).
All models corrected for clustering by clinic.
The second and third models corrected for both kinship and population structure.
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