R: Class Mobility by Level of Education in Israel

yaish {gnm} | R Documentation

## Class Mobility by Level of Education in Israel

### Description

A 3-way contingency table of father/son pairs, classified by father's social class (`orig`), son's social class (`dest`) and son's education level (`educ`).

### Usage

    yaish

### Format

A table of counts, with classifying factors `educ` (levels `1:5`), `orig` (levels `1:7`) and `dest` (levels `1:7`).

### Author(s)

David Firth

### Source

Originally in Yaish (1998), see also Yaish (2004, p316).

### References

Yaish, M (1998). Opportunities, Little Change. Class Mobility in Israeli Society: 1974-1991. D.Phil. Thesis, Nuffield College, University of Oxford.

Yaish, M (2004). Class Mobility Trends in Israeli Society, 1974-1991. Lewiston: Edwin Mellen Press.

### Examples

    set.seed(1)

    ## Fit the "UNIDIFF" mobility model across education levels, leaving out
    ## the uninformative subtable for dest == 7:
    ##
    unidiff <- gnm(Freq ~ educ*orig + educ*dest +
                         Mult(Exp(educ), orig:dest), family = poisson,
                         data = yaish, subset = (dest != 7))
    ## Deviance should be 200.3, 116 d.f.
    ##
    ## Look at the multipliers of the orig:dest association:
    ofInterest(unidiff) <- pickCoef(unidiff, "[.]educ")
    coef(unidiff)
    ##
    ## Coefficients of interest:
    ## Mult(Exp(.), orig:dest).educ1 Mult(Exp(.), orig:dest).educ2
    ##                    -0.5513258                    -0.7766976
    ## Mult(Exp(.), orig:dest).educ3 Mult(Exp(.), orig:dest).educ4
    ##                    -1.2947494                    -1.5902644
    ## Mult(Exp(.), orig:dest).educ5
    ##                    -2.8008285
    ##
    ## Get standard errors for the contrasts with educ1:
    ##
    getContrasts(unidiff, ofInterest(unidiff))
    ##                                 estimate        SE    quasiSE
    ## Mult(Exp(.), orig:dest).educ1  0.0000000 0.0000000 0.09757438
    ## Mult(Exp(.), orig:dest).educ2 -0.2253718 0.1611874 0.12885847
    ## Mult(Exp(.), orig:dest).educ3 -0.7434236 0.2335083 0.21182123
    ## Mult(Exp(.), orig:dest).educ4 -1.0389386 0.3434256 0.32609380
    ## Mult(Exp(.), orig:dest).educ5 -2.2495026 0.9453764 0.93560643
    ##                                 quasiVar
    ## Mult(Exp(.), orig:dest).educ1 0.00952076
    ## Mult(Exp(.), orig:dest).educ2 0.01660450
    ## Mult(Exp(.), orig:dest).educ3 0.04486823
    ## Mult(Exp(.), orig:dest).educ4 0.10633716
    ## Mult(Exp(.), orig:dest).educ5 0.87535940
    ##
    ## Table of model residuals:
    ##
    residuals(unidiff)

[Package gnm version 1.0-8 Index]