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. Author manuscript; available in PMC: 2012 Mar 1.
Published in final edited form as: J Health Econ. 2011 Jan 14;30(2):317–327. doi: 10.1016/j.jhealeco.2010.12.009

Table 3.

OLS and Finite Mixture Models for BMI

OLS Component1 Component2
Business Closure 0.168
(0.114)		 −0.019
(0.085)		 1.140**
(0.502)
Age −0.017***
(0.002)		 −0.012***
(0.002)		 −0.051***
(0.013)
Married −0.001
(0.035)		 0.007
(0.028)		 −0.120
(0.189)
Hshold Income −0.021
(0.017)		 −0.006
(0.015)		 −0.096
(0.099)
Manufacturing 0.012
(0.047)		 0.036
(0.034)		 −0.206
(0.288)
Clerical & Admin. 0.048
(0.048)		 0.043
(0.037)		 0.016
(0.279)
Sales −0.006
(0.055)		 0.051
(0.044)		 −0.386
(0.313)
Mechanical 0.013
(0.054)		 −0.030
(0.040)		 0.075
(0.329)
Service 0.072
(0.056)		 0.009
(0.041)		 0.306
(0.334)
Operator 0.054
(0.054)		 −0.048
(0.040)		 0.466
(0.320)
Farm. & Forestry −0.037
(0.083)		 −0.003
(0.079)		 −0.439
(0.479)
Depressed 0.005
(0.012)		 −0.006
(0.008)		 0.052
(0.057)
Lagged BMI 0.941***
(0.006)		 0.987***
(0.004)		 0.777***
(0.033)
π 1 a 0.842
(0.020)		 0.158
Observations 20,557 20,557 20,557
a

π1 is the probability that an observation is in Component 1.

Robust standard errors in parentheses. Regressions also include year dummies.

***

p<0.01

**

p<0.05

*

p<0.1