Oct 24, 2016

Random graphs (91): Regression coefficients

// ESS round 1
use ESS1e06_4.dta, clear

// Prepare variables
  // Country variable
  encode cntry, gen(country)

  // Trade union membership
  recode trummb (0 = 0 "Non-member") (1 = 1 "Trade union member") (. = .), generate(unionmember)
  label var unionmember "Trade union member"

  // Age
  generate age = agea if agea != 999
  label var age "Age"

  // Sex
  gen female = (gndr == 2) if gndr != 9
  label var female "Female sex"
  label define female 1 "Female" 0 "Male"
  label val female female

  // Happiness
  recode happy (77 88 99 = .)

  // Center age and sex
  center age female
  
// First set of models
  preserve   
  statsby mean_ = _b[unionmember] ///
          loci  = (_b[unionmember] - 1.96 * _se[unionmember]) ///
          hici  = (_b[unionmember] + 1.96 * _se[unionmember]) ///
        , by(country) clear: ///
          regress happy unionmember

  // Sort coefficients by size
  egen order_ = rank(mean_), unique
  labmask order_, value(country) decode

  // Plot
  twoway (rcap mean_ mean_ order_, horizontal) ///
         (rspike loci hici order_, horizontal) ///
        , legend(off) ylabel(1/20, valuelabels ang(h) labsize(*.8)) ///
          xlabel(-.5 (.5) 1.5, grid format(%6.1f)) name(unadjusted, replace)  ///
          xmtick(-.5 (.1) 1.5) ///
          ytitle("") xtitle("Happiness advantage of trade union membership" " ") ///
          xscale(alt) ysize(4)
restore  

// Second set of models
  preserve   
  statsby mean_ = _b[unionmember] ///
          loci  = (_b[unionmember] - 1.96 * _se[unionmember]) ///
          hici  = (_b[unionmember] + 1.96 * _se[unionmember]) ///
        , by(country) clear: ///
          regress happy unionmember c_female c_age

  // Sort coefficients by size
  egen order_ = rank(mean_), unique
  labmask order_, value(country) decode

  // Plot
  twoway (rcap mean_ mean_ order_, horizontal) ///
         (rspike loci hici order_, horizontal) ///
        , legend(off) ylabel(1/20, valuelabels ang(h) labsize(*.8)) ///
          xlabel(-.5 (.5) 1.5, grid format(%6.1f)) name(adjusted, replace)  ///
          xmtick(-.5 (.1) 1.5) ///
          ytitle("") xtitle("Happiness advantage of trade union membership" "(adjusted for age and sex)") ///
          xscale(alt) ysize(4)
  restore  
  
// Plot both underneath one another
graph combine unadjusted adjusted, row(2) ysize(8) xcommon name(combined, replace) ///
          note(" " ///
             "{it:Source:} ESS round 1, own calculations. {it:Note:} Error bars denote 95% confidence intervals." , span size(*.8))