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* Data description - Designing Incentive Systems for Truthful Forecast Information Sharing within a Firm *
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* General information
subject - ID of the subject
experiment - Name of the experiment ("main", "validation", "computer", "repeated")
main_session - Identifies sessions of main experiment
treatment - Name of the treatment played 
period - Period played in the overall experiment (periods <= 0 are test periods)
test - Identifies test periods (test == 1)
periodwithin - Period played within one treatment
type - Role of subject (1 = Sales, 2 = Operations)
group - Number of the matching group that a subject played in the current period (matches Sales and Operations subjects)
subgroup - Indicates if subject played treatments in normal (subgroup == 0) or reverse (subgroup == 1) order

* Incentive parameters
b - Unit sales bonus (ECU)
p_o - Unit overage cost (ECU)
p_u - Unit underage cost (ECU)

* Choices of the game
mktcondition - Market condition observed by Sales (or Sales subject of same group) (units)
forecast - Forecast chosen by Sales (or Sales subject of same group) (units)
quantity - Order quantity chosen by Operations (or Operations subject of same group) (units)
deltafcmkt - Forecast distortion (by Sales) (units)
deltaqfc - Forecast correction (by Operations) (units)
deltaqmkt - Order deviation (units)
expsalesprofit - Expected profit of Sales based on decisions of Sales and Operations (independent of demand realization, excluding fixed compensation) (ECU)
expprodcost - Expected cost of Operations based on decisions of Sales and Operations (independent of demand realization, excluding fixed compensation) (ECU)

* Results
demand - Demand realization (units)
sales - Actual sales (units)
overage - Actual overage quantity (units)
underage - Actual underage quantity (units)
posforecasterror - Positive forecast error (units)
negforecasterror - Negative forecast error (units)
profit - Actual profit made in the current period (given demand realization, including fixed compensation) (ECU)

* Data from pre-experiment quiz
errorsTest - Number of errors (= submissions with at least one answer wrong) that a subject made in the pre-experiment questionnaire

* Tracking of decision support
useDecisionSupport = Indicates whether subject used decision support in current period (yes == 1, no == 0)
numberShowTable - Number of times that a subject looked at the decision support table in current period

* Data from post-experiment Holt-and-Laury-Lottery (main experiment only)
HL1-10 - Indicates if subject chose the safe (HLx == 1) or the risky option (HLx == 0) in decisions 1-10
HLsafe - Overall number of safe choices

* Data from post-experiment questionnaire (repeated for every observation of a subject)
age - Age of subject (years)
female - Gender of subject (male == 0, female == 1)
semester - Number of semesters studied at University
studies - Type of studies
operations_management - Indicates whether a subject has already attended a basic lecture on Operations Management (yes == 1, no == 0)
order_75 - Quantity that Operations subject would choose if the real market condition was 75 (units)
order_100 - Quantity that Operations subject would choose if the real market condition was 100(units)
order_125 - Quantity that Operations subject would choose if the real market condition was 125 (units)