25.01.2013 Views

A Structural Model of Human Capital and Leverage - Duke ...

A Structural Model of Human Capital and Leverage - Duke ...

A Structural Model of Human Capital and Leverage - Duke ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Additionally, I assume that labor adjustment is costly to the firm. The firm incurs hiring <strong>and</strong> training costs<br />

per employee hired, <strong>and</strong> also pays a severance to any employees dismissed outside <strong>of</strong> default.<br />

In the spirit <strong>of</strong> the trade<strong>of</strong>f models <strong>of</strong> capital structure, firms in my model can be financed either with<br />

debt or equity, with debt enjoying a tax advantage. Default is endogenous, with firms choosing to default<br />

whenever their equity value falls to zero. The model features deadweight costs <strong>of</strong> default that are proportional<br />

to the firm’s capital stock. This direct cost <strong>of</strong> financial distress has been studied in the previous literature,<br />

with many concluding that the costs appear too low to rationalize debt levels observed in the data.<br />

My model adds an important cost <strong>of</strong> financial distress that has mostly been ignored in the literature. In<br />

default, a proportion <strong>of</strong> the firm’s employees lose their jobs, <strong>and</strong> the human capital investment embodied<br />

in these employees is lost. I argue that this cost can be quantitatively large <strong>and</strong> should not be ignored by<br />

models <strong>of</strong> capital structure. Firms who rely more heavily on human capital in the production process will<br />

have lower leverage ratios because they face higher costs <strong>of</strong> financial distress.<br />

I calibrate the model <strong>and</strong> perform simulations to assess the quantitative significance <strong>of</strong> human capital for<br />

capital structure. The model produces leverage levels consistent with those in the data. Furthermore, the<br />

model is able to match the cross-sectional pattern <strong>of</strong> leverage <strong>and</strong> labor intensity. <strong>Leverage</strong> in the model<br />

decreases monotonically in labor intensity, closely matching the pattern in the data. A move from the lowest<br />

to the highest decile <strong>of</strong> labor intensity is associated with a drop in leverage <strong>of</strong> 21 percentage points in the<br />

model, very close to the 27 percentage point drop in the data. In addition to matching the cross-section <strong>of</strong><br />

labor intensity, the model is able to match the cross-sectional relationship between leverage <strong>and</strong> several other<br />

previously recognized predictors <strong>of</strong> capital structure, including the market to book ratio, pr<strong>of</strong>itability, <strong>and</strong><br />

cash flow volatility. Overall, I conclude that human capital is quantitatively significant <strong>and</strong> should not be<br />

ignored by capital structure researchers.<br />

2 Related Literature<br />

My paper is primarily related to a new <strong>and</strong> growing literature that studies the interaction between labor<br />

markets <strong>and</strong> corporate finance. This literature provides mounting evidence that labor markets are important<br />

factors in determining corporate policies. Yet few models exist which help to formalize the analysis <strong>of</strong> the<br />

interaction between labor markets <strong>and</strong> corporate finance. I help fill this gap by deriving a dynamic model in<br />

which labor, investment <strong>and</strong> leverage can be studied jointly. To the best <strong>of</strong> my knowledge, this is the first<br />

paper that allows the joint study <strong>of</strong> these three important corporate policies. Such a model will help with<br />

2

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!