Skip to content

ldesio/issueyield

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 

Repository files navigation

issueyield

Stata ADO file for calculating the Issue Yield index (De Sio and Weber 2014, 2020) on a survey dataset. For a particular political party, the index summarizes the electoral risk/opportunity combination associated with a particular issue goal (risks of internal division vs opportunity for electoral expansion among non-supporters). Besides text output, the program also returns a full set of scalars to ease automation.

Usage

issueyield <issue_position_variable>, partyexp(<party_expression>) [wtexp(<weight_expression>)] [credvar(<credibility_variable>)]

where variables are:

issue_position_variable : a dichotomous variable indicating whether the respondent supports the issue goal;

party_expression : an expression identifying party supporters;

credibility_variable : a dichotomous variable indicating whether the respondent deems the party credible on the issue goal;

weight_expression : a Stata weight expression to apply weights.

Examples

Example 1

Using ANES Time Series 2020 data (retrieved from https://electionstudies.org/anes_timeseries_2020_stata_20220210/), calculates issue yield for support for death penalty, separately for (pre-electoral) supporters of the Democratic and Republican presidential candidates.

Code

include "issueyield.ado"
use "anes_timeseries_2020_stata_20220210.dta" , clear

recode V201075x (10 20 30 = 1 "Dem") (11 21 31 = 2 "Rep") (12 22 32 = 3 "Other"), gen(pres_voteintpref)
recode V201345x (1 2 = 1 "Favor death penalty") (3 4 = 0 "Oppose death penalty") (-2 = .), gen(issue01_favordeathpenalty)

issueyield issue01_favordeathpenalty, partyexp("pres_voteintpref==1")
issueyield issue01_favordeathpenalty, partyexp("pres_voteintpref==2")

Output

*** Issue Yield index calculation ***
 
Issue variable:                        issue01_favordeathpenalty (RECODE of V201345x (PRE: SUMMARY: R favor/oppose death penalty))
Party expression:                      pres_voteintpref==1

Party size (p):                        0.50
Issue goal general support (i):        0.61
Joint party-goal support (f):          0.21
* Issue yield:                         -0.14

*** Issue Yield index calculation ***

Issue variable:                        issue01_favordeathpenalty (RECODE of V201345x (PRE: SUMMARY: R favor/oppose death penalty))
Party expression:                      pres_voteintpref==2

Party size (p):                        0.39
Issue goal general support (i):        0.61
Joint party-goal support (f):          0.32
* Issue yield:                         0.70

Example 2

Same as above (for Republicans), but weighting observations by V200010b.

Code

issueyield issue01_favordeathpenalty, partyexp("pres_voteintpref==2") wtexp("[aw=V200010b]")

Output

*** Issue Yield index calculation ***

Issue variable:                        issue01_favordeathpenalty (RECODE of V201345x (PRE: SUMMARY: R favor/oppose death penalty))
Party expression:                      pres_voteintpref==2
Using weights:                         [aw=V200010b]

Party size (p):                        0.36
Issue goal general support (i):        0.63
Joint party-goal support (f):          0.29
* Issue yield:                         0.71

Example 3

Using ICCP 2017-18 v2 data, retrieved from here (also available as GESIS study ZA7499), calculates issue yield for introduction of a flat tax, separately for (pre-electoral) supporters of Italy's Lega and PD (Partito Democratico).

Code

use "ICCP_voter_survey_it17_lbl", clear
rename goal_it_p5 issue01_flattax

issueyield issue01_flattax, partyexp(`"voteint_party=="it_lega""')
issueyield issue01_flattax, partyexp(`"voteint_party=="it_pd""')

Output

*** Issue Yield index calculation ***

Issue variable:                        issue01_flattax (Maintain actual tax progressivity or introduce flat tax)
Party expression:                      voteint_party=="it_lega"

Party size (p):                        0.12
Issue goal general support (i):        0.24
Joint party-goal support (f):          0.06
* Issue yield:                         0.40

*** Issue Yield index calculation ***

Issue variable:                        issue01_flattax (Maintain actual tax progressivity or introduce flat tax)
Party expression:                      voteint_party=="it_pd"

Party size (p):                        0.15
Issue goal general support (i):        0.24
Joint party-goal support (f):          0.02
* Issue yield:                         -0.03

Example 4

Same as Example 3, but also calculating credibility-weighted Issue Yield, which takes into account an explicit (dichotomous) measure of party credibility to achieve the goal.

Code

issueyield issue01_flattax, partyexp(`"voteint_party=="it_lega""') credvar(cred_it_p5_lega)
issueyield issue01_flattax, partyexp(`"voteint_party=="it_pd""') credvar(cred_it_p5_pd)

Output

*** Issue Yield index calculation ***

Issue variable:                        issue01_flattax (Maintain actual tax progressivity or introduce flat tax)
Party expression:                      voteint_party=="it_lega"
Party credibility variable:            cred_it_p5_lega

Party size (p):                        0.12
Issue goal general support (i):        0.24
Joint party-goal support (f):          0.06
* Issue yield:                         0.40

Party credibility (cred):              0.32
Party credibility in *f* set (intcred):0.72
* Credibility-weighted issue yield:    0.23

*** Issue Yield index calculation ***

Issue variable:                        issue01_flattax (Maintain actual tax progressivity or introduce flat tax)
Party expression:                      voteint_party=="it_pd"
Party credibility variable:            cred_it_p5_pd

Party size (p):                        0.15
Issue goal general support (i):        0.24
Joint party-goal support (f):          0.02
* Issue yield:                         -0.03

Party credibility (cred):              0.09
Party credibility in *f* set (intcred):0.39
* Credibility-weighted issue yield:    -0.07

Example 5

Same as in Example 4, but weighting observations by wdempol_trim.

Code

issueyield issue01_flattax, partyexp(`"voteint_party=="it_lega""') credvar(cred_it_p5_lega) wtexp("[aw=wdempol_trim]")

Output

*** Issue Yield index calculation ***

Issue variable:                        issue01_flattax (Maintain actual tax progressivity or introduce flat tax)
Party expression:                      voteint_party=="it_lega"
Using weights:                         [aw=wdempol_trim]
Party credibility variable:            cred_it_p5_lega

Party size (p):                        0.12
Issue goal general support (i):        0.26
Joint party-goal support (f):          0.06
* Issue yield:                         0.43

Party credibility (cred):              0.29
Party credibility in *f* set (intcred):0.68
* Credibility-weighted issue yield:    0.23

About

Stata ADO files for calculating the Issue Yield index (De Sio and Weber 2014, 2020)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages