Forecasts After Marina’s Turbulence

[This article was first published on Daniel MarcelinoDaniel Marcelino » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

It’s more difficult than ever to tell who is going to continue in the runoff after the October 5th. After Marina’s campaign mate’s death, a big chunk of the electorate have been persuaded towards the alternative between PT and PSDB.

The values I used to start the chains, my initial beliefs, were that Dilma would receive somewhat 40%, Aécio ~ 25%, Campos/Marina ~ 20%, Others ~ 6, and Nulls ~ 8%. The MCMC was run for 1000 election, with a learning period of 500.

The following charts were produced using the forecast model I’ve been working on, which includes national as well state polls. Note that the model is naïve as it doesn’t include any other source of information. That is, I’m attempting to forecast the election based only on the mood of the electorate as captured by many pollsters.

The dots crossed by a vertical line on the charts represent my prior expectations for the election outcome. The colored area represents 95% of confidence interval for the day-to-day changes on the vote intentions. The “+” signs show the measurement evidence from the polls. The area between the last poll and the dots (roughly the September month) is the uncertain are I’m trying to foresee.

Note: Although Marina should have be lower according to my expectations, she is actually going up. She can even go further given the bad news regarding the economy performance, which the government doesn’t seem to have a coeherent explanation for the poor growth. Some says the World Cup was the vice, other say the World Cup was a virtue, and still others insist to say that the culprit is the international crisis. That one in 2008.

DILMA ROUSSEFF (PT) PT

MARINA SILVA (PSB) PSB

AÉCIO NEVES (PSDB) PSDB

OTHERS OTHERS

NULLS NULLS

To leave a comment for the author, please follow the link and comment on their blog: Daniel MarcelinoDaniel Marcelino » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)