essays in public finance and industrial organization a dissertation ...
essays in public finance and industrial organization a dissertation ...
essays in public finance and industrial organization a dissertation ...
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CHAPTER 1. BANKRUPTCY 38<br />
education loans. While the PSID <strong>and</strong> MEPS dist<strong>in</strong>guish rema<strong>in</strong><strong>in</strong>g hous<strong>in</strong>g <strong>and</strong> vehi-<br />
cle pr<strong>in</strong>ciple from other debts, these other debts are not further decomposed. 45 The<br />
lead<strong>in</strong>g potential concern is that these other debts <strong>in</strong>clude a substantial amount of<br />
education debt—particularly for households with recent college graduates who may<br />
also be on the marg<strong>in</strong> of <strong>in</strong>surance coverage. To overcome this issue, I estimate the<br />
share of education debt <strong>in</strong> total unsecured debt <strong>in</strong> the 2004 Survey of Consumer<br />
F<strong>in</strong>ances (SCF) <strong>and</strong> use this estimate to project education debt <strong>in</strong> the PSID <strong>and</strong><br />
MEPS. In particular, I use parameter estimates from a probit regression of the share<br />
of education debt <strong>in</strong> total unsecured debt on <strong>in</strong>come, family structure, age of the<br />
household head, <strong>and</strong> unsecured debt level fully <strong>in</strong>teracted with a categorical variable<br />
for educational atta<strong>in</strong>ment of the head to project education debt values.<br />
1.10.3 Micro-Simulation Details<br />
Medical Cost Distributions<br />
I construct the household-level medical cost distributions us<strong>in</strong>g <strong>in</strong>dividual-level med-<br />
ical cost data from the 2005 MEPS for age-by-sex-by-<strong>in</strong>surance status cells. 46 For<br />
<strong>in</strong>sured <strong>in</strong>dividuals, costs are def<strong>in</strong>ed as total payments. For un<strong>in</strong>sured <strong>in</strong>dividu-<br />
als, my measure of costs <strong>in</strong> construct <strong>in</strong> the follow<strong>in</strong>g way: I start with medical<br />
charges as this variable accounts for medical services written off as charity care or<br />
bad debt. I then scale down charges by the cost-charge ratio (CCR) for the privately<br />
<strong>in</strong>sured population to account for the discount typically extended to the un<strong>in</strong>sured. 47<br />
45 The debt variable <strong>in</strong> the PSID is based on the question “Aside from the debts that we have<br />
already talked about, like any mortgage on your ma<strong>in</strong> or vehicle loans – do [you/you or anyone <strong>in</strong><br />
your family] currently have any other debts such as credit card charges, student loans, medical or<br />
legal bills, or loans from relatives?” In the MEPS it is based on the question “Does anyone <strong>in</strong> the<br />
family have any debts that we haven’t asked about, such as credit card balances, medical debts,<br />
life <strong>in</strong>surance policy loans, loans from relatives, <strong>and</strong> so forth?” While both these variables may<br />
<strong>in</strong>clude additional non-dischargeable debt (e.g., department store loans collateralized by durable<br />
goods, unpaid taxes), the bias <strong>in</strong>troduced by this is likely to be small.<br />
46 The age-by-sex groups are no more than 18 years old, male age 19 to 34, female age 19 to 34,<br />
male age 35 to 64, <strong>and</strong> female age 35 to 64.<br />
47 Recall from Figure 1.2 that privately <strong>in</strong>sured <strong>and</strong> un<strong>in</strong>sured households make similar payments<br />
for low charges.