Workshops on Modelling Choices using R in Toronto

February 27, 2013

(This article was first published on eKonometrics, and kindly contributed to R-bloggers)

Making choices is inherently human. We choose between brands of cereal or amongst candidates in an election. At times, choices may be influenced by the characteristics of the decision maker, such as age, income and sex. Choices may also be influenced by the attributes of competing alternatives, such as the cost of travelling between two cities by air or rail. At other times, choices are influenced by both.

Analyzing choices can be tricky. Practitioners and researchers have developed numerous statistical techniques to analyze and model choices. This workshop will offer applied, hands-on training in analyzing choices.

The workshops will be offered in two sessions. First session will focus on binary (yes/no) choices and introduce the basic assumptions about choice analysis. It will provide hands-on training on exploratory data analysis. Second session will focus on advanced topics in choice modelling including multiple (multinomial) choices, elasticities, and estimating market shares.

Participants are expected to bring their own laptops. Basic concepts will be illustrated in SPSS, Stata, and R.

Title: Workshop on Modelling Choices

Dates and Time: Session One - Friday, March 22, 2013 (2pm-5pm)

Session Two - Friday, March 29, 2013 (2pm-5pm)

Instructor: Murtaza Haider, Ph.D.

Location: Ted Rogers School of Management, Ryerson University, 55 Dundas Street West, Room 3-119, Toronto M5G 2C3 

Registration fee: The workshop is sponsored by the Dean’s office at the Ted Rogers School of Management and is offered free-of-cost to the Ryerson community.

Please RSVP by emailing [email protected]

Registration will be restricted to 25 participants.

To leave a comment for the author, please follow the link and comment on his blog: eKonometrics. offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.