Goldin & Homonoff - DataSpace at Princeton University

Goldin & Homonoff - DataSpace at Princeton University Goldin & Homonoff - DataSpace at Princeton University

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excise and sales tax variables with respondents’ income. Finally, we undertake a number of robustness tests to investigate whether our results actually reflect heterogeneous attentiveness to register taxes as opposed to various alternative explanations. A. Data We obtain cross-sectional micro data on cigarette consumption from the Behavioral Risk Factor Surveil- lance System (BRFSS), supported by the National Center for Chronic Disease Prevention and Health Promotion and the Centers for Disease Control and Prevention. The BRFSS is a state-based telephone survey system that tracks health conditions and risk behaviors of individuals 18 years and older. The number of states participating in the survey has grown over time, from 15 in 1984 to 50 in 1994 (as well as the District of Columbia). To reduce the potential for the changing composition of states to bias our results, we restrict our analysis to the states that have been in the sample since 1987. 9 We also follow CLK by dropping two states from the analysis: Hawaii, because sales taxes in that state are included in the posted price, and West Virginia, because of frequent changes to that state’s sales tax base over the sample period. After dropping observations that are missing demographic variables, our final dataset contains approximately one million observations. Because the survey disproportionately samples certain groups, we use weighted regressions to obtain representative estimates. The BRFSS data contains two measures of smoking demand: whether the respondent is a smoker (smokes at least one cigarette every day) and how many cigarettes the respondent typically consumes each day. Although the BRFSS questionnaire asked respondents about smoking participation in each year of the survey, data on the number of cigarettes consumed are only available through 2000. Consequently, our analysis restricts the sample to those interviewed between 1984 and 2000. The BRFSS also collects information on a number of demographic variables, including income. 10 9 The 17 states we drop for this reason are: AK, AR, CO, DE, IA, KS, LA, MI, MS, NJ, NV, OK, OR, PA, VA, VT, WY. The remaining states constitute 75% of the U.S. population in 2000. The qualitative story is unchanged by employing an alternative cutoff year or using the full range of available states. 10 We make use of information concerning the respondent’s age, race, sex, educational attainment, marital status, employment status, and income. Household income is measured in terms of income-categories. Two problems arise when using this variable. First, the income measure is top-coded at a relatively low value ($75,000 for much of our sample period). Second, the income categories are not adjusted for inflation, making it difficult to compare respondents in the same category over time. Rather than attempt to convert the BRFSS income category data into a measure of real income, we measure income in percentile terms, assigning respondents the midpoint of the percentiles of their income category boundaries. For example, if 12

Data on state-level cigarette excise tax rates, sales tax rates, and average cigarette prices were obtained from the Tax Burden on Tobacco 2008 report, published by Orzechowski and Walker (and previously by the Tobacco Institute). We gathered information on the exact date of enactment of sales tax changes from a number of sources including the World Tax Database (University of Michigan), state government websites, and archives of local newspaper accounts. Following convention, our measure of state tax rates includes local taxes to the extent that they are uniform across the state. Whereas the sales tax is an ad valorem tax (consumers are charged a fixed fraction of a good’s price), the excise tax is a unit tax (consumers pay a set dollar amount per pack, regardless of the pre-tax price). In order to make the two types of taxes comparable for the empirical analysis, we convert the excise tax to an ad valorem tax using the method described in CLK. 11 Both sales and excise taxes increased between 1984 and 2000 (Figures 1a and 1b). In 1984, 38 states imposed sales taxes on cigarettes, and the median sales tax rate was 4 percent. By 2000, 45 states imposed sales taxes on cigarettes, and the median sales tax rate had climbed to 5 percent. Similarly, median state excise taxes on cigarettes increased from 14 cents in 1984 to 34 cents in 2000. In addition, the federal excise tax on cigarettes increased three times over the same period, climbing from 16 to 34 cents per pack. Table I presents summary statistics. Figure 2 shows that aggregate cigarette consumption in the United States declined between 1984 and 2000. That decline, however, was not uniform across the population. Figure 3 separately plots smoking participation rates over time for the highest and lowest income quartiles. Low-income individuals were more likely to smoke than high-income ones in 1984, and that gap widened over time. B. Attentiveness to Cigarette Taxes in the General Population We begin our empirical analysis by investigating whether consumers in the general population respond differently to register and posted taxes on cigarettes. The neoclassical model predicts that the salience of a tax (e.g., whether it is included in the posted price or added at the register) should not affect how 10 percent of the sample in one year reports an income between zero and $10,000, all individuals in that income category in that year are assigned a value of 0.05. 11 We divide the excise tax by the average national price of a pack of cigarettes in 2000, adjusted for inflation. The rationale for using the inflation-adjusted national price in 2000 as a proxy for the true price is to avoid endogeneity problems arising from the fact that changes in cigarette prices are likely correlated with unobserved shocks to smoking demand. 13

D<strong>at</strong>a on st<strong>at</strong>e-level cigarette excise tax r<strong>at</strong>es, sales tax r<strong>at</strong>es, and average cigarette prices were obtained<br />

from the Tax Burden on Tobacco 2008 report, published by Orzechowski and Walker (and previously by<br />

the Tobacco Institute). We g<strong>at</strong>hered inform<strong>at</strong>ion on the exact d<strong>at</strong>e of enactment of sales tax changes<br />

from a number of sources including the World Tax D<strong>at</strong>abase (<strong>University</strong> of Michigan), st<strong>at</strong>e government<br />

websites, and archives of local newspaper accounts. Following convention, our measure of st<strong>at</strong>e tax r<strong>at</strong>es<br />

includes local taxes to the extent th<strong>at</strong> they are uniform across the st<strong>at</strong>e.<br />

Whereas the sales tax is an ad valorem tax (consumers are charged a fixed fraction of a good’s price),<br />

the excise tax is a unit tax (consumers pay a set dollar amount per pack, regardless of the pre-tax price).<br />

In order to make the two types of taxes comparable for the empirical analysis, we convert the excise tax<br />

to an ad valorem tax using the method described in CLK. 11<br />

Both sales and excise taxes increased between 1984 and 2000 (Figures 1a and 1b). In 1984, 38 st<strong>at</strong>es<br />

imposed sales taxes on cigarettes, and the median sales tax r<strong>at</strong>e was 4 percent. By 2000, 45 st<strong>at</strong>es imposed<br />

sales taxes on cigarettes, and the median sales tax r<strong>at</strong>e had climbed to 5 percent. Similarly, median st<strong>at</strong>e<br />

excise taxes on cigarettes increased from 14 cents in 1984 to 34 cents in 2000. In addition, the federal<br />

excise tax on cigarettes increased three times over the same period, climbing from 16 to 34 cents per<br />

pack. Table I presents summary st<strong>at</strong>istics.<br />

Figure 2 shows th<strong>at</strong> aggreg<strong>at</strong>e cigarette consumption in the United St<strong>at</strong>es declined between 1984 and<br />

2000. Th<strong>at</strong> decline, however, was not uniform across the popul<strong>at</strong>ion. Figure 3 separ<strong>at</strong>ely plots smoking<br />

particip<strong>at</strong>ion r<strong>at</strong>es over time for the highest and lowest income quartiles. Low-income individuals were<br />

more likely to smoke than high-income ones in 1984, and th<strong>at</strong> gap widened over time.<br />

B. Attentiveness to Cigarette Taxes in the General Popul<strong>at</strong>ion<br />

We begin our empirical analysis by investig<strong>at</strong>ing whether consumers in the general popul<strong>at</strong>ion respond<br />

differently to register and posted taxes on cigarettes. The neoclassical model predicts th<strong>at</strong> the salience<br />

of a tax (e.g., whether it is included in the posted price or added <strong>at</strong> the register) should not affect how<br />

10 percent of the sample in one year reports an income between zero and $10,000, all individuals in th<strong>at</strong> income c<strong>at</strong>egory in<br />

th<strong>at</strong> year are assigned a value of 0.05.<br />

11 We divide the excise tax by the average n<strong>at</strong>ional price of a pack of cigarettes in 2000, adjusted for infl<strong>at</strong>ion. The r<strong>at</strong>ionale<br />

for using the infl<strong>at</strong>ion-adjusted n<strong>at</strong>ional price in 2000 as a proxy for the true price is to avoid endogeneity problems arising<br />

from the fact th<strong>at</strong> changes in cigarette prices are likely correl<strong>at</strong>ed with unobserved shocks to smoking demand.<br />

13

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