Raw Data

ellsberg paradox

Contact Us

The Department of Environmental Economics and Management

The Robert H. Smith Faculty
of Agriculture, Food and Environment
The Hebrew University of Jerusalem

Herzl 229, Rehovot 7610001
Fax: 08-9466267

Department Head:
Prof. Ayal Kimhi, Tel: 08-9489376

Head of the teaching program:
Dr. Ohad Raveh, Tel: 08-9489373

Meital Kappach, Tel: 08-9489230

Choice Prediction Competition for Decisions under Risk and Ambiguity

CPC 2015 - Supported by the Max Wertheimer Minerva Center
for Cognitive Processing and Human Performance

Organized by: Ido Erev, Eyal Ert, and Ori Plonsky

An explanation for the variables in the raw data

The data includes the following variables:

SubjID, Location, Gender, Age, set, Condition, GameID, Ha, pHa, La, Hb, pHb, Lb, Manipulation, Amb, LotShape, LotNum, Corr, Order, Trial, Button, Risk, Payoff, Forgone, RiskPay, Feedback, block 

SubjID = the subject serial no. in the lab 

Location = whether the study was conducted at the Technion (“Technion”) or at the Herbew U. of Jerusalem (“Rehovot”)

Gender = subject's gender, M for Male, F for Female 

Age = the subject's age 

Set = the set of problems the subject played. Set1 includes problems 1-30 (study1), set2 includes problems 31-60 (study2) and set3 includes problems 61-90 (study2) 

condition = ByProb refers to the condition in which subjects played by problems (25 trials in each), ByFB is the condition where subjects played the 5 trials without feedback for the 30 problems, and then played the other 20 trials for each problem 

GameID = serial number of the choice problem. See note at the bottom of this page. 

Ha = high payoff from option A 

pHa = probability of getting Ha 

La = low payoff from option A 

Hb = high payoff from option B 

pHb = probability of getting Hb 

Lb = low payoff from option B 

Manipulation = the framing of the choice problem (see section “space of problems” in the paper).“Abstract” framing is presentation of payoffs and their probabilities, “StPb” is a St. Petersburg type of presentation, and AcRj is accept/reject type of presentation. 

Amb = Ambiguity parameter. if Amb is 0 then probabilities of Option B are described, if Amb is 1 then these probabilities are not described 

LotShape = the shape of the outcome lottery distribution (Option B) in each problem. See Appendix A in the paper for details. 

LotNum = indicates the number of possible outcomes of Option B in each problem. Problems with LotNum>1 are multi outcome problems. See Appendix A in the paper for details. 

Corr = the correlation between the payoffs. Can be 0, 1, or -1 

Order = the order in which the choice problem appeared in the set 

Trial = the number of trial in which the choice was made (there are 25 trials per choice problem) 

Button = R if the subject selected the button positioned on the right side of the screen, and L if the left button was chosen 

Risk = whether the subject “took risk”, gets 0 if Option A was chosen and 1 if Option B was chosen. 

Payoff = the outcome from the chosen option in each trial 

Forgone = the outcome of the unchosen (forgone) option in each trial 

RiskPay = the outcome of the risky option (B) in each trial (regardless of choice) 

Feedback = Feedback is 0 if the trial does not include feedback information (trials 1-5), and 1 if there is feedback information (trials 6-25). 

Block = 5 blocks of 5 trials each. Block 1 is the first 5 trials with no feedback, all other blocks include feedback