With annual data from NMFS and the BEA over the time-period 1981-2009, here is the OLS regression:

+--------+--------------+----------------+--------+--------+----------+

|Variable| Coefficient | Standard Error |t-ratio |P[|T|>t]| Mean of X|+--------+--------------+----------------+--------+--------+----------+

Constant| 13.4188537 .12654817 106.038 .0000

GDPGR | .04857478 .02429373 1.999 .0561 2.82068966TIME | -.01252299 .00568097 -2.204 .0366 14.0000000

+--------+--------------+----------------+--------+--------+----------+The dependent variable is natural log of the for-hire fishing trips (charter boats, head boats). The independent variables are the annual growth rate of GDP and a time trend.

Results indicate that each 1 percentage point change in the GDP growth rate leads to about a 5% change in trips. And, since 1981 trips have fallen by about 1% each year.

The trips time series is to the right. Here is the comma delimited data: Forhire time series.csv so that someone can run a more sophisticated model. Any improvement in my estimate in the next 2 hours gets a hearty slap on the back and "good job!"