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

PSC In The News

RSS Feed icon

Starr's findings account for some of the 19% black-white gap in federal sentencing

Frey says suburbs are aging, cities draw millennials

Pfeffer comments on Fed report that reveals 20-year decline in net worth among American families

More News

Highlights

U-M's campus climate survey results discussed in CHE story

U-M honors James Jackson's groundbreaking work on how race impacts the health of black Americans

U-M is the only public and non-coastal university on Forbes' top-10 list for billionaire production

ASA President Bonilla-Silva takes exception with Chief Justice Roberts' 'gobbledygook' jab

More Highlights

Next Brown Bag

Mon, Jan 22, 2018, noon: Narayan Sastry

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