Blog

Blog

Short research notes, worked examples, and project sketches.

What Conditional Logit Models Do That Log-Linear Models Struggle to Do

Discrete Choice Models of Assortative Mating, Part 3

conditional logit

log-linear models

assortative mating

I show how a conditional logit model can be used to model matching on person-to-person dyadic covariates, and the advantage of clogit compared to the log-linear analysis of contingency tables. The third in a series about using conditional logit models for modeling assortative mating and mobility

Benjamin F. Jarvis

Log-Linear vs. Multinomial vs. Conditional Logit Models of Assortative Mating

Discrete Choice Models of Assortative Mating, Part 2

matching

conditional logit

multinomial logit

loglinear models

assortative mating

The second note in the series. Here I estimate and compare parameter estimates from conditional logit, multinomial logit, and loglinear models of two-way contingency tables (or data that can be reduced to such a table).

Benjamin F. Jarvis

Simulating a Spatial Marriage Market

Discrete Choice Models of Assortative Mating, Part 1

assortative mating

discrete choice models

log-linear models

simulation

spatial analysis

The first in a series looking at the advantages and pitfalls of using DCM for AM research. This post develops a simulated data set, and data generating functions, to be used in subsequent posts.

Benjamin F. Jarvis