By Lynn Vandendriessche
This paper seeks to further understand how government spending impacts private giving to charitable organizations. It considers giving and spending in the United States in 2008 with a focus on government spending on education, welfare, healthcare, and hospitals. Government spending is looked at at the state and local levels. The results indicate that the impact of government spending depends not only on the category of spending, but also on the income level of the giver. Increased welfare spending is shown to cause incomplete crowding-out across all income groups. Results consistently show education spending to cause crowding-out as well. The impact of both healthcare and hospital spending is more ambiguous, with differing results for different government levels (state and local) and income brackets.
Advisor: Michelle Connolly, Peter Arcidiacon | JEL Codes: L3, L31, L38 | Tagged:
By Trent Chiang
In this paper I relate the numbers of university licenses and options to both university research characteristics and research expenditures from federal government or industrial sources. I apply the polynomial distributed lag model for unbalanced panel data to understand the effects of research expenditures from different sources on licensing activity. We find evidence suggesting both federal and industrial funded research expenditures take 2-3 years from lab to licenses while federal expenditures have higher long-term dynamic effect. Break down licenses by different types of partners, we found that federal expenditures have highest effect with small companies and licenses generating high income. Further research is necessary to analyze the reason for such difference.
Advisor: David Ridley, Henry Grabowski | JEL Codes: I23, L31, O31, O32, O38 | Tagged: I