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. Author manuscript; available in PMC: 2012 Aug 1.
Published in final edited form as: Q J Econ. 2012 Jan 12;127(1):199–235. doi: 10.1093/qje/qjr055

TABLE V.

Conditional Logit Analysis of Plan Selection for Wisconsin Follow-up Survey Respondents

2007 Plan 2007 Plan 2008 Plan
(1) (2) (3)
β1: 2007 consumer cost/1,000 −1.18 (0.75) −1.78 (1.05) −1.63 (0.88)
β2: 2007 (consumer cost/10,000)2 7.69 (6.99) 13.85 (8.90) 14.52 (7.63)
β3: 2007 lowest-cost plan 0.46 (0.60) 0.34 (0.80) −0.46 (0.73)
β4: 2007 consumer cost/1,000 * intervention −1.46 (0.94) −1.10 (1.25) 0.11 (1.11)
β5: 2007 (consumer cost/10,000)2 * intervention 6.92 (8.53) 4.91 (10.68) −10.33 (10.95)
β6: 2007 lowest-cost plan * intervention 1.16 (0.68) 1.71 (0.89) 3.04* (0.82)
N 12719 7101 7101
Sample limited to 2008 follow-up survey respondents No Yes Yes
p-value on H0: β4 = β5= 0 0.09 0.41 0.15
p-value on H0: β4 = β5 = β6 = 0 0.00 0.02 0.00

Notes. Conditional logit models estimated with individual fixed effects, as in equation (6). Additional coefficients not shown in the table were estimated for the 2006 choice and for each plan; the estimation sample is therefore limited to plans selected by at least 2 individuals in the sample and to individuals choosing a plan selected by at least two individuals. 7 observations with predicted consumer costs > $20k were dropped. Column 1 uses the 2007 follow-up survey respondents, with 401 individuals, 32 plans, and 113 missing cost observations. Columns 2 and 3 use the 2008 follow-up survey respondents, with 265 individuals, 27 plans, and 54 missing cost observations. Standard errors are in parentheses.

*

p-value < 0.05.