Goldin & Homonoff - DataSpace at Princeton University

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

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undle. We assume that agents opt to pay the cognitive cost when doing so affords them greater utility: bi = 1{Gi − ci ≥ 0}. Although a full-fledged comparison between the utility that would be achieved in the two scenarios would likely require more cognitive effort than simply taking the tax into account in the first place, it seems reasonable that the agents who decide to pay the cognitive cost tend to be the ones for whom doing so has the most benefit. 37 Under the assumption that utility is additively separable in x and y, Chetty, Looney, and Kroft (2007) show that one can express Gi (the gain in consumption utility from taking the tax into account) as Gi = 1 2 t2 εx,p x ∗ i v ′ (y ∗ 1 i ) + µiγi p +t where U(x,y) = u(x) + v(y), εx,p is the elasticity (defined to be positive) of x ∗ i with respect to its price, µi ≡ x∗ i y∗ represents the optimal ratio of x to y, and γi measures the curvature of v() at yi: γi ≡ i −v′′ (y∗ i ) v ′ (y∗ i ) y∗i . CLK allow differences in the extent to which individuals take taxes into account by assuming het- erogeneity in the cognitive costs that agents face (ci), although they do not model the sources of that heterogeneity. Because our goal is to link differences in attentiveness to agents’ income, we allow Gi to vary over individuals while abstracting from individual heterogeneity in cognitive costs: ci = c. 38 In particular, we focus on individual heterogeneity that arises from differences in agents’ income. For a fixed tax rate and price, we can write Gi as a function of the agent’s income(Mi) G(Mi) = 1 2 t2 x∗ i (Mi) εx,p (Mi) p +t + µi (Mi)γi (Mi) v ′ (y ∗ i (Mi)) The question we are interested in is whether low- or high-income individuals are more likely to take register taxes into account. Because agents are alike apart from their incomes, the question at hand is whether G(.) is increasing or decreasing in Mi. Differentiating the above expression with respect to 37 Another justification for this approach is that agents might make a one-time comparison between Gi and ci to decide whether to pay the cognitive cost in future circumstance. 38 In reality, cognitive costs may also be correlated with income. The correlation may be positive, if high earners are better at cognitive tasks of this sort, or negative, if high earners have a greater opportunity cost of time. The extension to either of these cases is straightforward. 36

income yields: ∂Gi ∂Mi = 1 2 t2 ∂εx,p x ∂Mi ∗ i Av ′ (y ∗ i ) + ∂A εx,p x ∂Mi ∗ i v ′ (y ∗ i ) + ∂v′ (y∗ i ) εx,p x ∂Mi ∗ i A + ∂x∗ i εx,p Av ∂Mi ′ (y ∗ i ) where A = 1 p+t + µi (Mi)γi (Mi). Since A, x∗ i , εx,p and v ′ (y∗ i ) are all positive, the key terms to sign are ∂εx,p ∂Mi ∂A , ∂Mi , ∂x∗ i ∂Mi , and ∂v′ (y∗ i ) ∂Mi . First, consider ∂v′ (y∗ i ) . We know that ∂Mi ∂v′ (y∗ i ) ∂Mi = v′′ (y∗ i ) ∂y∗i ∂Mi < 0 assuming concave utility and that y is a normal good. Intuitively, when the marginal utility of income declines rapidly with wealth, consumers who have little income to begin with are made much worse off by accidently over-spending on x. Second, consider ∂x∗ i . This term will be positive as long as x is a normal good, but will be smaller in ∂Mi magnitude for goods for which consumption does not much change as income rises. In words, consumers who consume more will gain more from optimizing correctly simply because the consumption difference caused by the optimization error will be larger in magnitude. When demand for x is relatively insensitive to income, contribution of this term will be small. Next consider ∂εx,p . Are high- or low-income consumers more price sensitive in their demand for x? ∂Mi In general, theory is ambiguous as to whether elasticities rise or fall with income (the sign depends upon the magnitude of the third derivative of the utility function with respect to x). Finally, consider ∂A ∂ µi = ∂Mi ∂Mi γi + ∂γi ∂Mi µi. Let’s take the two pieces in turn. ∂x∗ i is clearly positive as long ∂Mi as x is a normal good. ∂ µi ∂Mi refers to how the optimal ratio of x to y changes with income. This term is zero when preferences are homothetic and negative for consumption goods that constitute a larger share of expenditures for poor consumers than for rich consumers. The second term, ∂γi , captures change in ∂Mi the curvature of utility from wealth as income rises; it will be weakly negative when consumers exhibit constant or decreasing relative risk aversion. We have highlighted the factors that determine whether attentiveness to a register tax is increasing or decreasing by income. What does the analysis imply for the case of cigarettes? Regardless of the good in question, low-income consumers suffer more from lost consumption of other goods when they accidently overspend on the taxed good. The key determinants that vary between goods are ∂x ∂εx,p ∂ µ , , and ∂Mi ∂Mi ∂Mi . For the case of cigarettes, all three of these factors suggest that attentiveness to register taxes should decrease by income. The income elasticity of cigarettes is generally found to be quite small (or even 37

undle.<br />

We assume th<strong>at</strong> agents opt to pay the cognitive cost when doing so affords them gre<strong>at</strong>er utility:<br />

bi = 1{Gi − ci ≥ 0}. Although a full-fledged comparison between the utility th<strong>at</strong> would be achieved in<br />

the two scenarios would likely require more cognitive effort than simply taking the tax into account in<br />

the first place, it seems reasonable th<strong>at</strong> the agents who decide to pay the cognitive cost tend to be the ones<br />

for whom doing so has the most benefit. 37<br />

Under the assumption th<strong>at</strong> utility is additively separable in x and y, Chetty, Looney, and Kroft (2007)<br />

show th<strong>at</strong> one can express Gi (the gain in consumption utility from taking the tax into account) as<br />

Gi = 1<br />

2 t2 εx,p x ∗ i v ′ (y ∗ <br />

1<br />

i ) + µiγi<br />

p +t<br />

where U(x,y) = u(x) + v(y), εx,p is the elasticity (defined to be positive) of x ∗ i<br />

with respect to its price,<br />

µi ≡ x∗ i<br />

y∗ represents the optimal r<strong>at</strong>io of x to y, and γi measures the curv<strong>at</strong>ure of v() <strong>at</strong> yi: γi ≡<br />

i<br />

−v′′ (y∗ i )<br />

v ′ (y∗ i ) y∗i .<br />

CLK allow differences in the extent to which individuals take taxes into account by assuming het-<br />

erogeneity in the cognitive costs th<strong>at</strong> agents face (ci), although they do not model the sources of th<strong>at</strong><br />

heterogeneity. Because our goal is to link differences in <strong>at</strong>tentiveness to agents’ income, we allow Gi<br />

to vary over individuals while abstracting from individual heterogeneity in cognitive costs: ci = c. 38 In<br />

particular, we focus on individual heterogeneity th<strong>at</strong> arises from differences in agents’ income. For a<br />

fixed tax r<strong>at</strong>e and price, we can write Gi as a function of the agent’s income(Mi)<br />

G(Mi) = 1<br />

2 t2 <br />

x∗ i (Mi)<br />

εx,p (Mi)<br />

p +t + µi<br />

<br />

(Mi)γi (Mi) v ′ (y ∗ i (Mi))<br />

The question we are interested in is whether low- or high-income individuals are more likely to take<br />

register taxes into account. Because agents are alike apart from their incomes, the question <strong>at</strong> hand is<br />

whether G(.) is increasing or decreasing in Mi. Differenti<strong>at</strong>ing the above expression with respect to<br />

37 Another justific<strong>at</strong>ion for this approach is th<strong>at</strong> agents might make a one-time comparison between Gi and ci to decide<br />

whether to pay the cognitive cost in future circumstance.<br />

38 In reality, cognitive costs may also be correl<strong>at</strong>ed with income. The correl<strong>at</strong>ion may be positive, if high earners are better<br />

<strong>at</strong> cognitive tasks of this sort, or neg<strong>at</strong>ive, if high earners have a gre<strong>at</strong>er opportunity cost of time. The extension to either of<br />

these cases is straightforward.<br />

36

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