Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Thompson says public trust in prison system is unwarranted

Study by former PSC trainee Hershbein cited in NR argument that teen contraceptive programs don't work

Stafford explores differences in intergenerational job mobility for today's working men and women

More News

Highlights

MiCDA Research Fellowship - applications due July 21, 2017

U-M awarded $58 million to develop ideas for preventing and treating health problems

Bailey, Eisenberg , and Fomby promoted at PSC

Former PSC trainee Eric Chyn wins PAA's Dorothy S. Thomas Award for best paper

More Highlights

Yu Xie photo

Values and limitations of statistical models

Publication Abstract

Xie, Yu. 2011. "Values and limitations of statistical models." Research in Social Stratification and Mobility, 29(3): 343-349.

Methodological consequences of population heterogeneity for the sequential logit model in studies of education transitions are now well understood. There are two main mechanisms by which heterogeneity may cause biases to parameter estimates in sequential logit models: outcome incommensurability and population incommensurability. These methodological problems are intrinsic to the substantive research question and thus are not easily remediable with better statistical models. All statistical solutions require extra information in the form of additional data or additional assumptions. In some settings, the researcher may explicitly introduce a form of heterogeneity into the sequential logit model and then evaluate the model. In other settings, the researcher may wish to stay with the conventional sequential logit model and interpret the results descriptively.

DOI:10.1016/j.rssm.2011.04.001 (Full Text)

PMCID: PMC3203205. (Pub Med Central)

Browse | Search : All Pubs | Next