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gnm (version 1.1-5)

erikson: Intergenerational Class Mobility in England/Wales, France and Sweden

Description

Intergenerational class mobility among the male populations of England and Wales; France, and Sweden.

Usage

erikson

Arguments

Format

A table of counts, with classifying factors origin (father's class; levels I, II, III, IVa, IVb, IVc, V/VI, VIIa, VIIb) destination (son's class; levels as before), and country (son's country of residence; levels EW, F, S).

References

Erikson, R., Goldthorpe, J. H. and Portocarero, L. (1982) Social Fluidity in Industrial Nations: England, France and Sweden. Brit. J. Sociol. 33(1), 1-34.

Xie, Y. (1992) The Log-multiplicative Layer Effect Model for Comparing Mobility Tables. Am. Sociol. Rev. 57(3), 380-395.

Examples

Run this code
set.seed(1)

### Collapse to 7 by 7 table as in Erikson (1982)

erikson <- as.data.frame(erikson)
lvl <- levels(erikson$origin)
levels(erikson$origin) <- levels(erikson$destination) <-
    c(rep(paste(lvl[1:2], collapse = " + "), 2), lvl[3],
      rep(paste(lvl[4:5], collapse = " + "), 2), lvl[6:9])
erikson <- xtabs(Freq ~ origin + destination + country, data = erikson)

### Fit the models given in first half of Table 3 of Xie (1992)

## Null association between origin and destination
nullModel <- gnm(Freq ~ country*origin + country*destination,
                 family = poisson, data = erikson)

## Full interaction, common to all countries
commonInteraction <- update(nullModel, ~ . + origin:destination)

## Full Interaction, different multiplier for each country
multInteraction <- update(nullModel,
                          ~ . + Mult(Exp(country), origin:destination))

### Create array of interaction levels as in Table 2 of Xie (1992)

levelMatrix <- matrix(c(2, 3, 4, 6, 5, 6, 6,
                        3, 3, 4, 6, 4, 5, 6,
                        4, 4, 2, 5, 5, 5, 5,
                        6, 6, 5, 1, 6, 5, 2,
                        4, 4, 5, 6, 3, 4, 5,
                        5, 4, 5, 5, 3, 3, 5,
                        6, 6, 5, 3, 5, 4, 1), 7, 7, byrow = TRUE)

### Fit models in second half of Table 3 in Xie (1992)

## Interaction specified by levelMatrix, common to all countries
commonTopo <- update(nullModel, ~ . +
                     Topo(origin, destination, spec = levelMatrix))

## Interaction specified by levelMatrix, different multiplier for
## each country
multTopo <- update(nullModel, ~ . +
                   Mult(Exp(country),
                        Topo(origin, destination, spec = levelMatrix)))

## Interaction specified by levelMatrix, different effects for
## each country
separateTopo <- update(nullModel, ~ . +
                       country:Topo(origin, destination,
                                    spec = levelMatrix))

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