Document created: 2015-05-18, 11:47

Macro-models of economic voting – see Kayser (2014) for an introdution

R and Stata examples —


To study economic voting, I have created a dataset that gives information about the vote share of parties, their cabinet status, some economic data and some other information. There is a documentation for the variables below.

In the exercise you are asked to estimate three to five models based on Table 1 in Kayser (2014). I have created most of the variables Kayser uses, but not all. Be aware that the dataset provided includes information about all parties and more countries so that you have to select a subset to estimate models similar to those in Table 1 (Kayser 2014) – see Stata and/or R example.

Here are a few suggestions for the models. You may want to focus on the “clarity of responsibility” by distinguishing single-party and coalition cabinets (variable ‘coalition’) or look at minority cabinets (variable ‘minority’). You may want to include countries from Central/Eastern Europe or change the country selection.

Please upload a logfile that documents the three to five models you have estimated to the folder “50 Students” on the StudIP page of the course.

I have reserved Monday, 18 May, 10:00 – 12:00 to work with you on the exercise – room Unicom 4570. I am available to answer questions, to discuss your models or to give you a short introduction to Stata or R. You can also send me an email.


Dataset economic-vote.csv created with R code in this document. See folder data for sources used and folder data-source with some raw data.

ParlGov – election results, cabinet membership, party information – parlgov.db


Worldbank – GDP growth [annual %] – worldbank-gdp-growth.csv


Vote share change cabinet parties – long term OECD members