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Tuesday, February 05, 2008

The Peer Effect of Jose Canseco

By Tangotiger, 05:04 PM

I haven’t read it yet, but here’s the summary:


Using panel data on baseball players, we show that a player’s performance increases significantly after they played with Jose Canseco. After checking 30 comparable players from the same era, we find that no other baseball player produced a similar effect. Clearly, Jose Canseco had an unusual influence on the productivity of his peers. These results are consistent with Canseco’s controversial claims, and suggest that workers not only learn productive skills from their co-workers, but sometimes those skills may derive from unethical practices. These findings may be relevant to many workplaces where competitive pressures create incentives to adopt unethical means to boost productivity and profits.

#1          (see all posts) 2008/02/05 (Tue) @ 17:31

I read through it quickly.  The statistical work seems reasonable, with one major caveat.  The “playing with Canseco” and the “after playing with Canseco” variables are almost certainly collinear with changes in ballparks (and hence ballpark effects) and with player experience (and hence with experience effects).  The authors present no diagnostics of these effects.  (This is especially a potential problem since their data set extends back to 1970, and, as I recall, Canseco didn’t play all that long ago (grin)).

Furthermore, I’d want to know if the effect persisted (for how long) or not. 

I’ll admit that I’m predisposed to believe that Canseco has exaggerated what happened and his affect on other players, but this analysis, if it holds up, does give me pause.


#2    Tangotiger      (see all posts) 2008/02/05 (Tue) @ 17:35

The problem I have with all these studies is the 1993/94 jump.  There was a boon here (as you’ll soon see even more convincingly when THT posts my article on it).

I also skimmed the paper, and I think I would like to have seen “before” and “after”.  Maybe I missed it.  Also, a control for age would be good too.

Finally, it looks like rather than taking rates (other than SLG), they counted the totals as an aggregate counting number.

It looks like they were very good researchers that could have done with a little help from readers around here.


#3          (see all posts) 2008/02/05 (Tue) @ 17:41

In a statistical sense, they do have “before” embedded in what they did.  They have dummy variables for “with” and “after,” so their constant is the “before” effect.  Statistically, they can’t include all three ("before," “with,” and “after"), because they are perfectly colinear.

What they could do is run separate regressionf ro “before,” “with,” and “after.” If those regressions are statistically indistinguishable, except for their constant terms, then it might strengthen their results.



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