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03_dmm_parent.R
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#===============================================================================
# 29/07/2024
# Diagonal Mobility Model on Parents
# Educational Assortative Mating and Subjective Well-Being
# Yanwen Wang, [email protected]
#===============================================================================
######################################################################
# Loading packages
######################################################################
library(tidyverse)
library(haven)
library(gnm)
library(lmtest)
library(stargazer)
library(jtools)
######################################################################
# Loading data
######################################################################
load("to-be-filled")
# DMM ---------------------------------------------------------------------
# * Baseline --------------------------------------------------------------
set.seed(123)
mod.base <- gnm(RSATISFY ~ -1 + RGENDER + RAGE + RMSTAT + RPARTY + RHUKOU + RMINORITY + CRESIDE + CGENDER +
Dref(PEDUA, CEDUA),
data = parents)
print(summary(mod.base), digits = 4)
print(DrefWeights(mod.base), digits = 4)
# * + Gender Weight Interaction -------------------------------------------
mod.genderweight <- gnm(RSATISFY ~ -1 + RGENDER + RAGE + RMSTAT + RPARTY + RHUKOU + RMINORITY + CRESIDE + CGENDER +
Dref(PEDUA, CEDUA, delta = ~ 1 + RGENDER),
data = parents)
print(summary(mod.genderweight), digits = 4)
print(DrefWeights(mod.genderweight), digits = 4)
lrtest(mod.genderweight, mod.base)
# * + Mobility Indicators -------------------------------------------------
# Main model with upward/downward mobility
mod.mob <- gnm(RSATISFY ~ -1 + upa + downa + RGENDER + RAGE + RMSTAT + RPARTY + RHUKOU + RMINORITY + CRESIDE + CGENDER +
Dref(PEDUA, CEDUA),
data = parents)
print(summary(mod.mob), digits = 4)
print(DrefWeights(mod.mob), digits = 4)
lrtest(mod.mob, mod.base)
# Model with interaction with parents' gender
mod.mob.rgender <- gnm(RSATISFY ~ -1 + RGENDER*upa + RGENDER*downa + RAGE + RMSTAT + RPARTY + RHUKOU + RMINORITY + CRESIDE + CGENDER +
Dref(PEDUA, CEDUA),
data = parents)
print(summary(mod.mob.rgender), digits = 4)
print(DrefWeights(mod.mob.rgender), digits = 4)
lrtest(mod.mob.rgender, mod.base)
# Model with interaction with child's gender
mod.mob.cgender <- gnm(RSATISFY ~ -1 + CGENDER*upa + CGENDER*downa + RGENDER + RAGE + RMSTAT + RPARTY + RHUKOU + RMINORITY + CRESIDE +
Dref(PEDUA, CEDUA),
data = parents)
print(summary(mod.mob.cgender), digits = 4)
print(DrefWeights(mod.mob.cgender), digits = 4)
lrtest(mod.mob.cgender, mod.base)
# Model with three-way interaction (parent's & child's gender)
mod.mob.rcgender <- gnm(RSATISFY ~ -1 + RGENDER*CGENDER*upa + RGENDER*CGENDER*downa + RAGE + RMSTAT + RPARTY + RHUKOU + RMINORITY + CRESIDE +
Dref(PEDUA, CEDUA),
data = parents)
print(summary(mod.mob.rcgender), digits = 4)
print(DrefWeights(mod.mob.rcgender), digits = 4)
lrtest(mod.mob.rcgender, mod.base)