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

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CHAPTER 4. YEAR-END SPENDING 178<br />

<strong>and</strong> schedule rat<strong>in</strong>gs. But while not surpris<strong>in</strong>g, the fact that it is the CIO evaluation<br />

that is driv<strong>in</strong>g the result means that we cannot learn much about the mechanism<br />

from the sub<strong>in</strong>dices, s<strong>in</strong>ce the CIO evaluation <strong>in</strong> a comprehensive measure of the I.T.<br />

project’s performance.<br />

Another way to explore possible mechanisms is to exam<strong>in</strong>e whether other ob-<br />

servable features of end-of-year contracts are different from those earlier <strong>in</strong> the year.<br />

Specifically, we exam<strong>in</strong>e whether features that policymakers often def<strong>in</strong>e as high risk—<br />

such as lack of competitive bidd<strong>in</strong>g or use of cost-reimbursement rather than fixed<br />

cost pric<strong>in</strong>g—are more prevalent <strong>in</strong> end of year contracts. For this analysis we return<br />

to the FPDS sample of all contracts from 2004 to 2009. To facilitate the analysis,<br />

we aggregate the 14.6 million observations up to the level of the covariates. We then<br />

estimate l<strong>in</strong>ear probability models with <strong>in</strong>dicators for contract characteristics (e.g.,<br />

a non-competitively sourced <strong>in</strong>dicator) as the dependent variable on an <strong>in</strong>dicator<br />

for last week of the fiscal year <strong>and</strong> controls. The regressions are weighted by total<br />

spend<strong>in</strong>g <strong>in</strong> each cell.<br />

The first three columns of Appendix Table 4.11 exam<strong>in</strong>e shifts <strong>in</strong> the degree of<br />

competitive sourc<strong>in</strong>g at the end of the year. The use of non-competitive contracts<br />

shows little change. However, contracts that are competitively sourced are signifi-<br />

cantly more likely to receive only one bid perhaps because the end of year rush leaves<br />

less time to allow bidd<strong>in</strong>g to take place. The estimates <strong>in</strong>dicate that there is almost<br />

a 10 percent <strong>in</strong>crease <strong>in</strong> the percent of contracts receiv<strong>in</strong>g only a s<strong>in</strong>gle bid—a 1.7<br />

percentage po<strong>in</strong>t <strong>in</strong>crease one a base of 20 percent. On net, then, there is a modest<br />

<strong>in</strong>crease <strong>in</strong> “risky” non-competitive <strong>and</strong> one bid contracts at the end of the year.<br />

Column (3) shows that spend<strong>in</strong>g on contracts that are either non-competitive or one<br />

bid contract <strong>in</strong>creases by 1 percentage po<strong>in</strong>ts on a base of 49 percent <strong>in</strong> the last week<br />

of the year.<br />

The second three columns <strong>in</strong>vestigate the type of contract used. Contracts that<br />

provide for cost reimbursement rather than specify<strong>in</strong>g a fixed price are often seen as<br />

high risk because they have significant potential for cost overruns. Time <strong>and</strong> material<br />

or labor hours (T&M/LH) contracts raise similar concerns because they <strong>in</strong>volve open<br />

ended commitments to pay for whatever quantity of labor <strong>and</strong> materials are used

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