serial = serial number (unique ID for each participant) 
political_affiliation = political affiliation
	•	-1 = democrat
	•	0 = other
	•	1 = republican
frame1_offset1 = offset or Tax
	•	1 = offset frame
	•	-1 = tax frame
frame2_priceintegrate = price integration or segregation
	•	1 = price integration frame
	•	-1 = price segregation frame
frame1_frame2_interaction = offset1*integrate1
	•	Used for regressions and such
frame3_envirofirst = the sequence of option presented first (ie, on the left)
	•	1 = tax/offset first
	•	-1 = Otherwise

Note: Product 1 = gas, 2 = flight, 3 = electricity, 4 = computer.
product1_envchoice = chose offset/tax on the first product
	•	1 = chose the tax/offset option
	•	0 = choose the cheaper option
product1_envpref = preference strength for their choice of offset/tax option on the first product
	•	-2 to 2
	•	Strongly Prefer A - Somewhat Prefer A - Undecided - Somewhat Prefer B - Strongly Prefer B (A is the option including carbon offset/tax)
product1_envmandatory = support for making the carbon tax/offset option mandatory
	•	1 to 6 (higher numbers indicate more support for regulation)
	•	Definitely Not - Probably Not - Maybe Not - Undecided - Maybe - Probably - Definitely
product1_usage_reduction = estimate of consumption reduction (in %) if the tax/offset is made mandatory, for the first product
	•	0% - 5% - 10% - 15% - 20% - 25% - 30% - 35% - 40% - 45% - 50%
*naming rule is the same from product1 to product4
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envchoice_avg = average of product1_envchoice through product4_envchoice 
envstrength_avg = average of product1_envstrength through product4_envstrength 
envmandatory_avg = average of product1_envmandatory through product4_envmandatory 
usage_reduction_avg = average of product1_usage_reduction through product4_usage_reduction
gender_M0F1 = male or female
	•	0 = male
	•	1 = female
age
Single0L1M2D3W4 = marital status
	•	0 = single
	•	1 = living together
	•	2 = married
	•	3 = divorced
	•	4 = widowed
None0Demo1Repub2 = political party
	•	0 = none
	•	1 = Democrat
	•	2 = Republican
children = number of children 
education = highest education completed or in progress
	•	0 = No degree
	•	1 = High school diploma
	•	2 = Associate degree, occupational
	•	3 = Associate degree, academic
	•	4 = Bachelor's degree
	•	5 = Master's degree
	•	6 = Professional degree
	•	7 = Doctoral degree
occupation 
income = annual household income
	•	1 = <$14,999
	•	2 = $15,000 - $24,999
	•	3 = $25,000 - $34,999
	•	4 = $35,000 - $49,999
	•	5 = $50,000 - $99,999
	•	6 = $100,000 - $199,999
	•	7 = > $200,000
smoke = current smoker 
NEPr_scale = NEPr total score (measure of pro-environmental attitudes) indifference_6 = indifference point for winning $6 or lossing $X 
lambda_coe1 = lambda (loss aversion coefficient) calculated from indifference_6 
indif_20 = indifference point for winning $20 or lossing $X 
lambda_coe2 = lambda (loss aversion coefficient) calculated from indifference_20
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These items were check boxes -- what motivated you to respond as you did about the carbon tax/offset items?
reason1_lower_price
reason2_no_effect
reason3_prevent_warming
reason4_live_sustainably
reason5_support_business
reason6_enjoy_product
reason7_set_example
reason8_balance_carbon
reason9_other
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experiment_number = wave number (from referrer) that the participant was run in (the present study was run with 3 other studies) 
path = the order that the participant completed the study in. It's fully counterbalanced, which is kind of ridiculous. 
begin_time = date and time that participant began the study (including the other, unrelated parts of the wave, which occured before and/or after) 
end_time = date and time that participant ended the study duration_minutes = total time for participant to complete the study (including the other, unrelated parts of the wave, which occured before and/or after)
OffLin = Linear test of party in the offset frame but not the tax frame.
TaxLin = Linear test of party in the tax frame but not the offset frame.
