REFERENCES

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Ayers, I., and J.J. Donohue

1999 Nondiscretionary concealed weapons law: A case study of statistics, standards of

proof, and public policy. American Law and Economics Review 1:436.

Black, D.A., and D.S. Nagin

1998 Do right-to-carry laws deter violent crime? Journal of Legal Studies 27:209-219.

Bronars, S., and J.R. Lott, Jr.

1998 Criminal deterrence, geographic spillovers, and the right to carry concealed handguns.

American Economic Review 88:475-479.

Donohue, J.J.

2002 Divining the Impact of State Laws Permitting Citizens to Carry Concealed Handguns.

Unpublished manuscript, Stanford Law School.

Härdle, W.

1990 Applied Nonparametric Regression. Cambridge: Cambridge University Press.

Lott, J.R.

2000 More Guns, Less Crime: Understanding Crime and Gun-Control Laws. Chicago:

University of Chicago Press.

Lott, J.R., and D.B. Mustard

1997 Crime, deterrence, and right-to-carry concealed handguns. Journal of Legal Studies

26(1):1-68.

Ramsey, J.B.

1969 Tests for specification errors in classical linear least squares regression analysis.

Journal of the Royal Statistical Society Series B 31(2):350-371.

Tucker, W.

1987 Where do the homeless come from? National Review Sept. 25:32-43.

7Much current research in statistics and econometrics is directed at “dimension reduction.”

This consists of imposing shape assumptions that are much weaker than those of models like

6.1 and 6.2 but strong enough to reduce the effective number of shapes that must be considered

and thereby to increase estimation precision substantially. Although these techniques

show considerable promise, they have not yet been developed sufficiently to be applicable to

problems like estimation of the effects of right-to-carry laws.

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