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512	 Chapter 12  Instrumental Variables Regression

                                           meanwhile, attendance falls by 2 million for moderately violent
                                           movies and by 1 million for nonviolent movies. What is the pre-
                                           dicted effect on assaults? Construct a 95% confidence interval for
                                           the change in assaults. [Hint: Review Section 7.3 and material sur-
                                           rounding Equations (8.7) and (8.8).)]

	 c.	 It is difficult to control for all the variables that affect assaults and
                                       that might be correlated with movie attendance. For example, the
                                       effect of the weather on assaults and movie attendance is only
                                       crudely approximated by the weather variables in the data set. How-
                                       ever, the data set does include a set of instruments, pr_attend_v,
                                       pr_attend_m, and pr_attend_n, that are correlated with attendance
                                       but are (arguably) uncorrelated with weekend-specific factors (such
                                       as the weather) that affect both assaults and movie attendance. These
                                       instruments use historical attendance patterns, not information on a
                                       particular weekend, to predict a film’s attendance in a given weekend.
                                       For example, if a film’s attendance is high in the second week of its
                                       release, then this can be used to predict that its attendance was also
                                       high in the first week of its release. (The details of the construction
                                       of these instruments are available in the Dahl and DellaVigna paper
                                       referenced in footnote 5.) Run the regression from part (b) (includ-
                                       ing year, month, holiday, and weather controls) but now using pr_
                                       attend_v, pr_attend_m, and pr_attend_n as instruments for attend_v,
                                       attend_m, and attend_n. Use this regression to answer (b)(i)–(b)(iii).

	 d.	 The intuition underlying the instruments in (c) is that attendance in a
                                       given week is correlated with attendance in surrounding weeks. For
                                       each move category, the data set includes attendance in surround-
                                       ing weeks. Run the regression using the instruments attend_v_f,
                                       attend_m_f, attend_n_f, attend_v_b, attend_m_b, and attend_n_b
                                       instead of the instruments used in part (c). Use this regression to
                                       answer (b)(i)–(b)(iii).

	 e.	 There are nine instruments listed in (c) and (d), but only three are
                                       needed for identification. Carry out the test for overidentification
                                       summarized in Key Concept 12.6. What do you conclude about the
                                       validity of the instruments?

	 f.	 Based on your analysis, what do you conclude about the effect of vio-
                                       lent movies on (short-run) violent behavior?

	 E12.3	 (This requires Appendix 12.5) On the textbook website, www.pearson-
                                  globaleditions.com/Stock_Watson, you will find the data set WeakInstrument,
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