Volume 2, Issue 2, October (2015)

Econometrics Letters Vol(2), Issue(2), October 2015

) The gray area: high school dropout likelihood among skin tone levels of black males

Yariv Fadlon[1]  Sophie Tripp [2]

[1] (Corresponding Author) Claremont Graduate University Department of Economics 150 E 10th Street, Claremont, CA 91711 USA, e-mail: yariv.fadlon@cgu.edu..

[2]Graduate student, Claremont Graduate University, Department of Economics, 150 E 10th Street, Claremont, CA 91711 USA, e-mail: sophie.tripp@cgu.edu..                                                                                    1-11

We evaluate the role skin tone plays in the likelihood of dropping out of high school for black male respondents in the NLSY97. We find that blacks are 11 percent more likely to drop out of high school. This gap almost disappears after controlling for key family background variables. In addition, we find that light skinned blacks are less likely to drop out compared to whites, while dark skinned blacks are more likely to drop out compared to whites after controlling for the same family background variables. Therefore, after controlling for family background, the dropout likelihood of both light and dark skinned blacks “cancel out” and thus the bi-racial gap mistakenly seems to disappear.

Keywords: Black-White Dropout; Skin Tone; FGLS.

JEL Codes: I2, C1.

[ DOI: 10.5455/ELet.2015.2.2.1 ]


2) Estimating the attributes of willingness to pay for a community based health insurance scheme in Odisha state, India

Denny John[1]  , Vijender Kumar[2]

[1] (Corresponding Author) MBA, MPH, FRSPH, Tutor-Health Economics, People’s Open Access Education Initiative, 34 Stafford Road, Eccles, Manchester, UK M30 9ED

[2]Consultant, PART Pvt. Ltd, Kamla Nagar, New Delhi, Mob: +919873805308, Email: vijender1232@gmail.com                                                               12-33

This paper aims to quantify, using an utility maximisation approach, the extent to which an attribute affects the decision making process at a group level for a community based health insurance (CBHI) scheme launched among tribal populations of Madan Rampur block in Kalahandi district, Odisha. Analysis has been performed using mixed logit modelling incorporating conditional as well as multinomial logit models because of the dependency of both the choice specific and the individualistic attributes of the choice maker on the decision making process. This choice modelling provides a tool for CBHI schemes’ efficient designing, evaluation and implementation in low- and middle-income countries.

Keywords: . Discrete choice analysis, community based health insurance, India, Choosing Health plans All Together (CHAT), utility approach, willingness-to-pay, criteria for decision-making under risk and uncertainty.

JEL Codes: I10, C35.

[DOI: 10.5455/Elet.2015.2.2.2]