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essays in public finance and industrial organization a dissertation ...

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CHAPTER 1. BANKRUPTCY 2<br />

of the deadweight cost of the bankruptcy process, households <strong>and</strong> creditors have an<br />

<strong>in</strong>centive to negotiate payments without a formal bankruptcy fil<strong>in</strong>g.<br />

Bankruptcy, as a result, provides households with a form of high-deductible health<br />

<strong>in</strong>surance. Households are exposed to the f<strong>in</strong>ancial risk from medical shocks up to<br />

the level of assets that can be seized <strong>in</strong> bankruptcy <strong>and</strong> <strong>in</strong>sured aga<strong>in</strong>st f<strong>in</strong>ancial risk<br />

above this level.<br />

Summary data on the un<strong>in</strong>sured suggest that this mechanism could be important.<br />

Figure 1.1 shows that un<strong>in</strong>sured households have vastly fewer seizable assets than<br />

households with private <strong>in</strong>surance. Sixty-three percent of the un<strong>in</strong>sured would give up<br />

less than $5,000 <strong>in</strong> a bankruptcy fil<strong>in</strong>g, compared to only 28 percent of the privately<br />

<strong>in</strong>sured. Figure 1.2 shows that payments by the un<strong>in</strong>sured are substantially lower<br />

when receiv<strong>in</strong>g a high volume of medical care. While payments by the privately<br />

<strong>in</strong>sured scale up proportionally with medical charges, payments by the un<strong>in</strong>sured are<br />

capped on average at just over $5,000.<br />

To more rigorously exam<strong>in</strong>e the mechanism, I construct a simple model of bankruptcy,<br />

medical bill<strong>in</strong>g, <strong>and</strong> <strong>in</strong>surance choice. The model predicts that, conditional on wealth,<br />

out-of-pocket medical payments should be decreas<strong>in</strong>g <strong>in</strong> the level of seizable assets for<br />

a given volume of medical care received. Hold<strong>in</strong>g wealth constant, households with<br />

fewer seizable assets should be less likely to purchase conventional coverage.<br />

I test these predictions us<strong>in</strong>g variation <strong>in</strong> the state-level asset exemption laws that<br />

specify the type <strong>and</strong> level of assets that can be seized <strong>in</strong> bankruptcy <strong>and</strong> detailed<br />

asset data from the restricted access Medical Expenditure Panel Survey (MEPS) <strong>and</strong><br />

the Panel Survey of Income Dynamics (PSID). The degree of cross-state variation<br />

<strong>in</strong> the asset exemption laws <strong>in</strong> substantial. Kansas, for example, allows households<br />

to exempt an unlimited amount of home equity <strong>and</strong> up to $40,000 <strong>in</strong> vehicle equity.<br />

Neighbor<strong>in</strong>g Nebraska allows households to keep no more than $12,500 <strong>in</strong> home equity<br />

or a $5,000 wildcard of any type of asset. Both states allow households to keep<br />

retirement assets. I construct a simulated <strong>in</strong>strument that isolates the variation <strong>in</strong><br />

seizable assets solely due to these laws, mechanically purg<strong>in</strong>g variation due to wealth<br />

from fil<strong>in</strong>g under Chapter 7 <strong>in</strong> most circumstances. The households most affected by the reform are<br />

unlikely to be marg<strong>in</strong>al to the mechanism I analyze.

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