stock repurchase announcements: a test of market ... - Asbbs.org
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McGrath<br />
rate <strong>of</strong> 4.4% was the state’s highest. Onl y two other counties had tax rates averaging above 4%<br />
and they were St. Joseph (South Bend area) and De laware (Muncie). It is also the case that each<br />
<strong>of</strong> these three counties experienced less than average housing investment rates. However, with<br />
the exception <strong>of</strong> Harrison County’s pro perty tax rate <strong>of</strong> 2.3% , the counties experiencing rapid<br />
investment mentioned earlier – Hendricks, Hamilton, Hancock, Switzerland, Boone, and Johnson<br />
did not have rates very different than the state mean. In fact, a simple correlation coefficient <strong>of</strong> ρ<br />
= -0.13 between NEWINV and PROPTAX points to rather weak relationship b y m agnitude.<br />
County income tax rates also differ in Indiana, b ut the rates average roughl y one-third<br />
that <strong>of</strong> pro perty taxes. The INCTAX variable is provided t hrough STATSIn diana. The statewide<br />
average count y i ncome tax rate is 1.03% with Lake Cou nty’s rate at an even 1. 0%.<br />
The cost <strong>of</strong> building a new ho me wo uld be expected to be negatively relat ed to the<br />
investment rate, ceteris par ibus. The mean unit cost <strong>of</strong> a new single fa mily home wa s available<br />
from the Census by county for the year 2000. The mean unit cost (UNITCOST) was $122,789 in<br />
2000. The average median value <strong>of</strong> an exis ting hom e (MEDVAL), perhaps a substitute to<br />
building a new ho me, was $87,835. Ham ilton Co unty had bot h the highest median valu e at<br />
$166,300 while new ho mes in Boone County were, on average, the most expensive to build at<br />
$205,276. New ho mes in Lake County were also significantly more expensive than average to<br />
build at a co st <strong>of</strong> $ 156,921. No attem pt has y et been made here to contro l for t he diff erent<br />
attributes (square feet, lot size, rooms, etc) <strong>of</strong> new homes across counties.<br />
A county with a high rate <strong>of</strong> homeownership (OWNRATE for 20 00) may imply that the<br />
infrastructure (schools, utilities, etc) i s in pl ace to provide the services a new ho mebuilder is<br />
likely to demand. However, OWNRATE is onl y weakly positively correlated with NEWINV ( ρ<br />
= 0.15). An additional cost <strong>of</strong> building a ne w home is the i mplied commute to workplace. The<br />
U.S. Census provides data as to the mean travel-to-work time in minutes per day (COMMUTE)<br />
for the year 2000. COMMUTE has a low, positive correlation with NEWINV with ρ = 0.14. On<br />
average Lak e Count y’s homeownership rate wa s below the state’s average at 69% and the<br />
average commute time was a little longer at 27 minutes.<br />
Balancing the building cost <strong>of</strong> a new home and other expenses may be the homebuilder’s<br />
purchasing power, both present and future. Count y median household incom e (INCOME) and<br />
the percentage <strong>of</strong> the county’ s population holding at least a bachelors degree ( EDUC) may both<br />
represent purchasing power. Lake County’s median household income and education levels were<br />
both slightly higher than the state averages. While the Census provides data for both variables for<br />
the year 2000, the simple correlation coefficient between the two is somewhat high at 0.52, as one<br />
would expect. The EDUC variable is also highly correlated with median home value (MEDVAL)<br />
as the correlation coefficient is 0.71.<br />
A county’s economic activity may either attract new residents or attract business which in<br />
turn pushes h omeowners to neighb oring counties and to comm uting. POPGRWTH was defined<br />
above as the count y’s po pulation growth for the 1990s. Li ke EDUC, POPGRWTH is highl y<br />
correlated with other varia bles, principally m edian household i ncome (ρ = 0.72), m edian home<br />
value (0.74), percent <strong>of</strong> population over 65 years <strong>of</strong> age (ρ = - 0.74). But POPGRWTH measured<br />
for the 1 990s is also strongl y correlated w ith NEWINV in 20 03 likel y impl ying conti nued<br />
momentum into the new decade (ρ = 0.72).<br />
In addition to population growth, we examined the roles that county retail activit y, the<br />
county unemployment rate and the cou nty poverty rate may play in encouraging or discouraging<br />
ASBBS E-Journal, Volume 4, No.1, 2008 144