Don't buy a computer, but if you do
Over at India Uncut, Amit Varma points to study by Todd Kendall which
claims to demonstrate that the spread of the internet causes a decline
in the incidence of rape. Kendall's argument is that the Internet
makes pornography more widely available, especially to men in the
15-19 age group, and serves as a substitute for sexual violence.
It's an interesting paper, but reading it I had several concerns.
My biggest problem with Kendall's empirical results is that he runs a
regression with both % of households accessing the Internet and % of
households with computers as independent variables, and while the sign
for Internet access is significant and negative, the sign for
households with computers is significant and positive (it's the most
significant variable in his regression) - a fact that Kendall
conveniently neglects to mention in his paper, let alone provide an
explanation for. Kendall's justification for including % of households
is to seperate the effect of the Internet from other technological
influences, but that would imply a non-significant effect of owning
computers but a significant effect of Internet access. As it is, we
have two variables in the right hand side of the equation that we
would expect to be highly correlated (Kendall does not bother to
provide us with a correlation table, but computer ownership and
internet access pretty much have to be positively correlated) and they
enter the regression with signs that are opposite and significant.
Personally, I'd love to see what happens to the coefficient on
Internet access if Kendall runs his regression without % of households
with computers in there. I'm unconvinced that it would continue to be
significant.
Think about it this way. Kendall tells us that, on an average, a 10%
increase in Internet penetration causes a 7.3% decline in incidence of
rape [1]. But if you believe his results in Table 4, a 10% increase in
the % of households owning a computer causes a 6.4% increase in the
incidence of rape. So the net effect of buying a computer and using it
to access the Internet on the incidence of rape is a mere 0.9% (yes,
yes, I know it doesn't work that way - which is exactly my point). But
who are all these households who are buying a computer but not using
it to connect to the Net? And what, according to Kendall, is the
reason that they're more likely to commit rape? Frustration about poor
connectivity? Isn't it more likely that what we're seeing is just
multicollinearity unrealistically inflating the regression estimates?
My second concern with Kendall's study is that he assumes implicitly
that the spread of the Internet has no effect on the reporting of
rape, so that changes in the number of rapes reported is a valid
measure for number of rapes actually taking place. Kendall
acknowledges that there is a measurement problem here, but sees no
reason to believe that the spread of the Internet may be causing a
systematic bias in his measurement. He even makes some arguments for
why his measures may be underestimating the effect.
Yet the study itself suggests one potential reason why the results
might be biased. Kendall tells us that rapes that don't get reported
tend to be those committed by people known to the victim - date rapes,
for instance. Kendall also cites previous literature that tells us
that the Internet facilitates more dating and other face-to-face
interactions and that this may increase the opportunities for rape.
Put those two together and it suggests that the spread of the Internet
increases the opportunities for the kind of rapes that tend to go
unreported. Is it possible, therefore, that the effect Kendall is
capturing is really a reflection of the fact that the Internet is
shifting the incidence of rape from assaults on strangers (which have
high reporting rates) to date rape (where reporting rates are low),
causing reporting rates to go down? I'm not saying this is necessarily
happening - I'm simply saying that it's an interpretation of Kendall's
results (such as they are) that would be consistent with the
literature that Kendall himself cites, and that he doesn't consider.
Finally, it's interesting that though Kendall has a panel data set, he
doesn't actually account for lagged effects in his model. So what
we're seeing is the absolute level of rape in the state (and the
absolute level of internet usage) not the change in rape incidence.
Personally, I would love to see a regression where Kendall includes
the previous year's rape incidence for the state on the right hand
side or, even better, takes first differences for his variables of
interest. That would tell us whether changes in the spread of the
Internet were really driving changes in the incidence of rape.
None of this is to say that what Kendall is saying is necessarily
wrong, though personally I'm sceptical about the argument that access
to porn is a substitute for rape (in Kendall's terms, I'm firmly in
the camp of those who believe that rape is about power rather than
about lust). It's simply to suggest that Kendall's results and the
interpretation he puts on them are extremely questionable, and we
should be careful before drawing any real conclusions from them.
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