Do you want fries with that? An exploration of serving size, social welfare, and our waistlines.
Jeitschko, Thomas D. ; Pecchenino, Rowena A.
I. INTRODUCTION
"Do you want fries with that?" is the mantra of the fast
food burger joint. It is also the direct descendant of the
"Anything else?" at the baker's, the "May I interest
you in these lovely pork chops, madam?" at the butcher's, or
"Wouldn't you like a nice bunch of grapes?" at the green
grocer's. Although those were looked on as polite questions made to
elicit preferences or to bring the order to a close only when the
customer was ready, the question of fries has been imbued with evil
intent. Big food, not unlike big tobacco, has conspired to make us eat
more by offering us fries or the option to super-size our orders (May
2003). And we don't have to look any farther than the bulging
waistlines of the adult American population to establish their success.
Or do we?
Open any newspaper or magazine or turn on the television or radio
and you are immediately confronted with articles and op-ed pieces on the
increasing trend in childhood and adult obesity and the ostensible culprit--the purveyors of fast and snack foods (Economist 2003). Fast
food companies, such as McDonald's and Burger King, have been sued.
Although the Pelman v. McDonald's case was thrown out of court, the
judge, Robert Sweet, suggested a way to pursue the claim that would be
more likely to advance through the court system. John F. Banzhaf III,
professor at George Washington University Law School has refocused his
energies away from big tobacco, where he was one of the most successful
antitobacco litigants, and onto big food. His Web page (http://banzhaf.
net/obesitylinks) is dedicated to this campaign. Marion Nestle,
professor of nutrition at NYU, argues in her much-quoted book, Food
Politics (2002), that advertising by big food is both to promote their
products and to induce consumers to eat more. Clearly, if implicitly,
the firms that make up "big food," not we, are to blame. This
being the case, fat taxes have been suggested both in jest, that is,
taxing people based on their weight (Rauch 2002), and as a serious
proposal to alter an individual's eating habits via the price
mechanism, for example, by taxing fatty foods at a higher rate (Nestle
2002; BBC 2000; Jones 2003). Also, states and school districts are
restricting the sales of sodas (Los Angeles Times 2003), offering
instead milk, juice, or water; and recently California has further
banned the sale of so-called junk food in schools (Griffith 2005).
Though the idea that no publicity is bad publicity may be apt in
some circumstances, big food has taken notice of the onslaught and has
responded. Kraft Foods is reducing the serving size of its prepackaged
one-serving meals and snacks; Hershey's is offering sugar-free
chocolates; McDonald's, Wendy's, and their ilk are offering
salads and other lower fat meals in addition to their usual fare, and/or
opening more health-conscious fast food restaurant alternatives.
Similarly, a recent KFC advertising campaign sings the praises of how
few carbohydrates and how much protein their fried chicken contains, in
a nod to the Atkins (2002) diet, and McDonald's has stopped
offering super-sized meals (Carpenter 2004). These responses to the
market struck some as panic (Ayers 2002), suggesting guilt rather than
hard-nosed competitive responses. But market research has found that
when consumers are offered lower calorie options and reduced portion
meals, they do opt for them, and then replace the saved calories in
appetizers or desserts (Fonda 2003; May 2003).
II. THE ECONOMICS PROFESSION WEIGHS IN
The positive trend in weight began in the mid-1800s and is not, as
usually depicted, an entirely recent phenomenon (Cole 2003; Costa 1993).
What is incontrovertible, however, is that since the late 1970s portion
sizes have increased. Thus, on average, the portion size and energy
intake has increased by 93 kcal for salty snacks, by 49 kcal for soft
drinks, by 68 kcal for French fries, and by 97 kcal for hamburgers
(Nielsen and Popkin 2003). (1) This can ostensibly be the result of a
reduction in the price of food, but because price elasticities of demand
are inadequate to account for the increases in weight, alternative and
additional reasons have been suggested. Ladkawalla and Philipson (2002)
point to more sedentary jobs and Martinez-Gonzalez et al. (1999) to more
sedentary lifestyles, both leading to less energy usage. Bednarek et al.
(2006) find that increases in income and leisure time lead to
individuals eating more and spending less time in active pursuits.
Cutler et al. (2003), find that lack of self-control leads individuals
to give into temptation today while putting off the diet until a
tomorrow that fails to arrive. Mancino and Kinsey (2004) demonstrate how
work habits and eating patterns adversely affect diets of even those who
have considerable knowledge of healthful diets.
More to the point of the debate concerning a connection between the
prevalence of weight gain and big food, Cutler et al. (2003) note the
increased time cost of home preparation of food--largely as a result of
women's increased labor force participation--causing a substitution
into the relatively cheaper market prepared food. Emphasizing this
point, Chou et al. (2002) find that when the density of fast food
outlets rises in an area, the incidence of obesity rises as well. These
rationales, however, should not necessarily lead to weight gain because
nothing necessitates overeating more when one eats out rather than in.
However, and seemingly in line with these observations, although we
overeat (eat more than we once did) at home, we overeat more at fast
food restaurants, which provide the largest servings (Nielsen and Popkin
2003). Although these data paint a consistent picture, they do not
provide an explanation of why it is that the food industry provides a
service that appears inconsistent with revealed preference when we
provide the service for ourselves.
To provide additional insight into this question--be it as an
alternative to or in addition and complementary to those provided by the
popular press--we consider the question of optimal portion size in a
choice theoretical framework. We examine an individual's demand for
food at an instant in time, for example, at lunch. A consumer faces a
varying degree of hunger, and so chooses the consumption bundle, that
is, the meal, that best satisfies his or her appetite. We consider two
basic methods for the provision of meals. We suppose that consumers are
free to choose any size of consumption bundle, as is the case in the
home production of meals. We contrast this with the problem of providing
an optimal standardized meal size that maximizes the welfare of the
typical consumer. Unlike a profit-maximizing firm (e.g., a restaurant),
the solution to this problem accounts only for consumers' utilities
at a point in time, which allows us to abstract from motives aimed more
at the bottom line (such as psychological manipulation of preferences)
than the waistline. Thus, we take as given the distribution of hunger in
the population and the cost of providing meals and then determine the
size of the meal, measured, for example, in calories, that maximizes the
utility of the representative agent. The thus constrained "socially
optimal" meal is larger than the average sized one resulting from
individual choices. Should it be feasible to choose two rather than a
single meal size (which could be characterized as a standard and a
super-sized meal), then all agents' ex ante utility is increased.
In our model, choice makes everyone better off, but the technological
constraints on choice and the need to best serve the typical
(representative) customer make people fatter. Thus, competition and
falling food prices, rather than evil intent, are the culprits.
III. THE MODEL
Ex ante identical agents are endowed with y units of income. Their
preferences are defined over a composite good, m, and food consumption,
c. Utility derived from food consumption obviously stems from many
factors--not just the amount of food but also its quality, preparation,
presentation, as well as variation. However, holding these factors
constant across venues (home cooking, or eating out), we make the
simplifying assumption that food consumption is measured by the
one-dimensional variable c.
Agents' utilities are quasi-linear and concave in food
consumption. Nevertheless, one's utility from food consumption
depends on how hungry the agent is. Specifically, an agent experiences
utility from food consumption that is captured by the function [pi]U(c),
where U(*) is a standard von Neumann-Morgenstern utility function with
U' > 0, (2) and U" [less than or equal to] 0, and [pi]
[member of] (0, 1] measures how hungry an agent is. The bigger the [pi],
the greater is one's hunger, and food gives more pleasure the
hungrier one is. We assume that [pi] is distributed i.i.d, across the
population and across time according to the distribution function F and
at the beginning of the period agents realize their state of hunger.
Once [pi] is realized the agent chooses food consumption, c, and
the amount of the composite good, m, to maximize
(1) [pi]U(c) + m,
subject to
(2) y = m + e(c),
where e(c) measures the expenditures made to acquire a portion of
size c.
If the (per unit) price of food is fixed and given by p, then the
expenditure function simply reduces to the more familiar form e(c) = pc.
However, we use the expenditure function to capture the possibility of
volume discounts--often encountered when increasing the order size of
the purchase. Thus we make the natural assumption that expenditures are
increasing in the amount purchased, e'(c) > 0, but unit prices,
p = e(c)/c are (weakly) decreasing in quantity, e' (c)c--e(c) [less
than or equal to] 0.
The two properties attached to the expenditure function mirror
actual pricing policies in restaurants. More important for our purposes,
though, they reflect typical cost structures of production: a fixed cost
of providing (any sized) portion and relatively constant marginal costs
of increasing the portion size. Thus, pricing at a given mark-up above
the cost of a portion yields an expenditure function with these
properties. Indeed, to the degree that the food industry is (either
perfectly or monopolistically) competitive, one expects to find pricing
policies that underlie such expenditure functions.
IV. THE DETERMINATION OF OPTIMAL PORTION SIZES
We consider three scenarios in determining the optimal portion size
of meals: home cooking, eating out, and eating out with an option to
super-size.
First, we suppose that consumers can choose any desired portion
size. This serves as our benchmark. Second, we consider the case in
which a single fixed serving size is provided. We determine the socially
optimal size, given the underlying cost structure, and compare it to
average consumption under the benchmark case. Third, we allow for
distinct (albeit limited) portion sizes, that is, the option to
super-size a meal, and see how consumption under this option differs
from the other two scenarios.
Given these three scenarios, we then examine how they are affected
by changes in the pricing rules, that is, changes in the expenditure
function, given the assumption that the pricing function is a reflection
of production costs.
Case 1: Continuous Choice; Home Provision of Meals
Home cooks when preparing meals need only prepare according to
their current state of hunger and can vary portion size to perfectly
satisfy that hunger. This option is sometimes found in buffet-style
cafeterias and restaurants, where one loads up a plate that is weighed
at the register and pays a price per ounce. However, because this method
is largely impractical for most restaurant meals, it is not often
observed, and we consider this benchmark case to be one of food
preparation at home.
Substituting Constraint (2) into Equation (1) and choosing c to
maximize
[pi]U(c) + y - e(c),
the first-order condition of the agent's problem is
(3) [pi]U' (c) - e'(c) = 0.
The second-order condition of the agent's problem is
(4) [pi]U" (c) - e" (c) < 0.
If the second-order condition is satisfied, Equation (3) is solved
for the optimal level of food consumption as a function of one's
state of hunger, [c.sup.*]([pi]). A sufficient condition for the
second-order condition to be satisfied is that the expenditure function
reflects (constant) mark-ups above average costs and the marginal cost of food preparation is nondecreasing--a requirement that is sure to hold
in all relevant instances.
Case 2: The Optimal Portion Size for a Single Portion
Suppose that the provision of any given meal size is costly (in
terms of size-specific equipment and auxiliary items as well as
specialized labor) so that one cannot provide each agent with a
continuous choice of meal size and thus cannot provide each consumer
with his or her desired consumption portion. Then, like the restaurateur or the purveyor of TV dinners but unlike the home cook, it may be
necessary to choose a single portion size. Facing this constraint,
expected social welfare is optimized by the choice of a portion size b
that maximizes
[[integral].sup.1.sub.0] [[pi]U(b) + y - e(b)]dF([pi]).
Rewriting, b should maximize
[[??]U(b) + y - e(b),
where [??] is the expected value of [pi]. The first-order condition
of the problem is
(5) [??]U'(b) - e'(b) = 0,
which is solved for [b.sup.*].
PROPOSITION 1. The socially optimal portion size is larger than the
average portion size of the consumer with continuous choice. That is,
E([c.sup.*]([pi]) < [b.sup.*].
Proof. Equation (3) implicitly defines [c.sup.*] as a function of
[pi], say G(c,[pi]): = [pi]U'(c) - e'(c) = 0. By the implicit
function theorem,
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
so, c([pi]) is concave. Hence, E[[c.sup.*]([pi])] <
[c.sup.*](E[pi]). But [c.sup.*](E[pi]) = [b.sup.*].
Thus, the optimally chosen single portion size is larger than the
average portion chosen by the population at large. This is because the
utility loss of having too little food is much higher at the margin than
the utility loss (in terms of forgone consumption of m) of having too
much. Hence, one will be more willing to err on the side of abundance
rather than paucity, and profligacy rather than abstemiousness is the
path to higher expected utility. Once food is prepared and purchased,
the consumer has the option of not eating any excess beyond the
decentralized full information ("first best") optimum (i.e.,
the home production choice of [c.sup.*]([pi])), that is, there is free
disposal. However, because the marginal utility of greater consumption
is necessarily positive at the first-best level of consumption and sunk
costs are sunk, the agent will eat in excess of the first-best level.
Consequently, the average amount of food intake may very well
increase as an individual shifts consumption habits from home food
production to restaurant meals (or TV dinners). However, far from being
a reflection of a conspiracy of big food against consumers, it may
merely reflect the optimal provision of standardized portions.
Case 3: Super-Sizing
We now consider the case of two meal sizes over which the consumer
can choose--a "standard" portion size, [a.sub.1], and a
super-sized option, [a.sub.2]. We proceed in two steps. First, we
analyze a consumer's choice, given two meal sizes, and then we
discuss the best meal sizes from the vantage point of the social
optimum.
Define [W.sub.i] as the utility an agent receives given meal
[a.sub.i], that is
[W.sub.i] = [pi]U([a.sub.i]) + y - e([a.sub.i]), i = 1,2,
so
(d/[da.sub.i]) [W.sub.i] > (<)0 as [a.sub.i] <
(>)[c.sup.*].
The agent chooses between [a.sub.1] and [a.sub.2] to solve
max[[W.sub.1], [W.sub.2]].
For any feasible pair of a's, there will be a type of agent,
[[pi].sup.c], such that the agent is indifferent between the two meals,
given the portion sizes and the associated expenditures. For that type
of agent [W.sub.1] = [W.sub.2], which implies that
(6) [[pi].sup.c] = [e([a.sub.2]) - e([a.sub.1])]/[U([a.sub.2]) -
U([a.sub.1])] > 0,
for an interior solution.
Consider now the optimal meal sizes. Given the agent's
expected utility for a given value of [pi], the agent's ex ante
expected utility is given by
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Assuming, for the sake of closed-form solutions, a uniform
distribution of [pi] across the population, (3) the problem is to choose
[a.sub.1] and [a.sub.2] to maximize
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Letting a subscript denote the partial derivative, the first-order
(sufficient) conditions with respect to [a.sub.1] and [a.sub.2],
respectively, are
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Recalling the implicit definition of [[pi].sup.c],
[[pi].sup.c]U([a.sub.1]) - e([a.sub.1]) = [[pi].sup.c]U([a.sub.2])
- e([a.sub.2]),
these reduce to
0.5[[pi].sup.c]U'([a.sub.1]) - e'([a.sub.1])
0.5(1 + [[pi].sup.c])U'([a.sub.2]) - e'([a.sub.2]).
The first-order conditions immediately yield the following two
results.
First, compared to the case of a single (standardized) meal,
welfare is strictly increased with the choice between two meals, that
is,
W([a.sup.*.sub.1], [a.sup.*.sub.2]) > W(b, b), for all b,
because the first-order conditions cannot be satisfied for any pair
[a.sub.1] = [a.sub.2] = b, so the maximum under two distinct portions
must be strictly greater than for the single portion.
Second, a comparison of the reduced first-order conditions with the
agent's first-order conditions given in Equation (3) shows that the
two distinct meal sizes chosen are optimal conditioned on the segment of
the population that chooses a particular meal, that is,
[a.sub.1] = [c.sup.*](E[pi]/[pi] < [[pi].sup.c]) and [a.sub.2] =
[c.sup.*](E[pi]/[pi] > [[pi].sup.c]),
because (E[pi]/[pi] < [[pi].sup.c]) = 0.5[[pi].sup.c] and
(E[pi]/[pi] > [[pi].sup.c]) = 0.5(1 + [[pi].sup.c]).
Thus, increasing the number of portion sizes improves welfare and
maximizes average utility of consumers given their choice of serving
size. But how does increasing the number of portion sizes available
affect how much is consumed? As a first step note that the two optimal
meals,[a.sup.*.sub.1] and [a.sup.*.sub.2], straddle [b.sup.*], that is,
[a.sup.*.sub.2] > [b.sup.*] > [a.sup.*.sub.1].
This is so because [b.sup.*] = [c.sup.*](0.5) (see the proof of
Proposition 1), and [a.sub.1] = [c.sup.*](0.5[[pi].sup.c]) and [a.sub.2]
= [c.sup.*](0.5 (1 + [[pi].sup.c])). Because [c.sup.*] is increasing,
the result follows as [[pi].sup.c] [member of] (0,1).
In other words, as more portion sizes are offered, larger portion
sizes become available. So the larger portion size is indeed
super-sized. However, this does not inform us concerning how average
consumption is affected by offering a variety of portion sizes. For this
we consider average portion sizes consumed under the three regimes, the
home cooked benchmark, the single portion size, and the super-size
scenarios. For the latter comparison, let E[a.sup.*] denote the average
consumption when two different portion sizes are offered.
PROPOSITION 2. Average consumption given a choice in portion size
is above the average portion size of the consumer with continuous
choice, yet it is smaller than when only one meal is offered. That is,
E[c.sup.*] < E[a.sup.*] < [b.sup.*].
Proof. Notice that
E[a.sup.*] = [[pi].sup.c] [a.sup.*.sub.1] + (1 - [[pi].sup.c])
[a.sup.*.sub.2] = [[pi].sup.c] [a.sup.*](0.5 [[pi].sup.c]) + (1 -
[[pi].sup.c]) [c.sup.*] (0.5 (1 + [[pi].sup.c])).
For the first inequality, applying Proposition 1 to each segment of
the population in turn yields
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
For the latter inequality in the proposition, let [[pi].sup.a]
denote any threshold, not necessarily the optimally induced one of
[[pi].sup.c]. Note that
(7) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
Furthering the derivation in the proof to Proposition 1,
c'" = (d/d[pi]) c" =
-2[G.sub.c][G.sub.c[pi]]U"U'/[G.sup.4.sub.c] =
-2[[pi]U'" - e"] [pi]U"U'/[G.sup.4.sub.c] <
0,
so in addition to being decreasing, [c.sup.*]' is concave.
Therefore the final term in Equation (7) is positive. Moreover, for any
[DELTA] [not equal to] 0, [c.sup.*]'(x) -[c.sup.*]'(x +
[DELTA]) + [DELTA][c.sup.*]"(x + [DELTA]) > 0, so the sum of the
first three terms in (7) are also positive. Consequently E[a.sup.*] is
convex. Now notice that if [[pi].sup.a] equals 0 or 1, then E[a.sup.*] =
[b.sup.*], because, as noted in the proof of Proposition 1, [b.sup.*] =
[c.sup.*](E[pi]) and for the uniform distribution E[pi] = 0.5. Hence,
E[a.sup.*] < [b.sup.*] for all [[pi].sup.a] [member of] (0,1).
When super-sizing becomes an option, one observes larger portions
being offered and consumed. However, average consumption actually
decreases relative to the single portion case. Nevertheless, average
consumption remains higher than in the continuous choice setting.
The model demonstrates that far from there necessarily being a
conspiracy of big food or something else sinister that leads to larger
portions in restaurants when compared to the average home-cooked meal,
larger portions may merely be a reflection of standardized portions.
Indeed, the often maligned option of super-sizing alleviates this
problem that may be associated with discrepancies between home-cooked
meals and restaurant meals.
V. CHANGES IN COSTS AND CHANGES IN CONSUMPTION
Another arrow in the quiver of critics of big food is that portion
sizes have increased over the past few years. This is indeed the case.
Our analysis, however, suggests this may be because the relative cost of
food (marginal cost) has dropped dramatically (Finkelstein et al. 2005).
For the case of the expenditure function reflecting unit costs, the
following proposition concerning home food preparation is obtained:
PROPOSITION 3. If there is a drop in marginal costs but not infixed
costs," for example, food becomes less expensive, and the time
costs of preparing meals remain constant or increase, portion sizes at
home increase.
Proof A decrease in marginal costs as well as an increase in the
fixed costs of preparing food implies that volume discounts become more
generous. Then e'(c) decreases for all c, and the first order
condition, Equation (3), is satisfied at a higher level of [c.sup.*].
Thus, as time costs of home food preparation increase, for example,
due to the increase in women's participation in the labor force,
and as technological advances in agriculture, fisheries, and raising
livestock reduce the cost of producing foods, it is natural to see
increased portions for meals that are prepared at home. Although no one
has (yet) charged home cooks and grocery stores with a conspiracy to
increase the size of the meals we consume, this charge is often
implicitly leveled at big food. However, because portion sizes of
home-cooked meals have risen (Nielsen and Popkin 2003), the idea that
larger portion sizes must be something other than a response to a change
in the cost of food production could turn out to be a red herring.
Indeed, there is an immediate corollary to Proposition 3 concerning
portion sizes at restaurants. Thus,
COROLLARY 1. As volume discounts become more generous (marginal
costs fall), the socially optimal portion size of restaurant meals
increases.
Proof This follows now from Equation (5).
If, as suggested by Cutler et al. (2003), the time cost of home
preparation has indeed increased, thereby making market produced meals
relatively cheaper, then individuals will choose to eat out more. And
when presented with the larger portions, they will eat more--by choice.
PROPOSITION 4. The proportion of consumers who
"super-size," 1 - [[pi].sup.c], is increasing in the quantity
discount.
Proof Note that the smaller the difference in expenditures between
the large and small portion, e([a.sub.2]) - e([a.sub.1]), ceteris
paribus, the bigger the quantity discount. Totally differentiating
[[pi].sup.c] yields
(d/d[e([a.sub.2]) - e([a.sub.1])])T[C.sup.c] = 1/[U([a.sub.2]) -
U([a.sub.1])] > 0.
Thus, as the expenditure difference falls, [[pi].sup.c] falls, and
1 - [[pi].sup.c] rises.
When an agent is choosing between the small and the large meal, the
cheaper the large relative to the small, the more inclined the agent is
to choose the large meal even at low hunger intensity.
If volume discounts in the food industry have become larger in the
recent past not as a result of reductions in the fixed costs, the costs
of labor and overhead, per serving, but rather as a result of a
reduction in the marginal costs of the food inputs (i.e., a relative
decrease in food costs; Finkelstein et al. 2005), and if restaurants in
general and fast food in particular are subject to competitive pressures
so that these reductions in cost are passed along to consumers, then
consumers will respond with a greater proportion ordering the larger
sized meal. Consequently, [[pi].sup.c] falls and more consumers are
super-sizing, that is, saying yes to that offer of fries. Indeed,
Nielsen and Popkin (2003) find that portion sizes have increased most
dramatically at fast food establishments and at home with the smallest
increases found at sit-down restaurants. This suggests a final
interesting corollary to our analysis: Restaurateurs who are not subject
to immediate competitive pressures and retain some market power need not
pass on volume discounts as underlying cost structures change. Thus, it
is not surprising that smaller up-market specialty and niche restaurants
may have increased the sizes of their serving plates but have decidedly
not increased portion sizes.
VI. BEWARE WHAT YOU WISH FOR
Given cost structures that are common in the food industry and
assuming that restaurants are restricted to offering only one portion
size for meals, we derive the socially optimal portion size for a
population that differs in individuals' degrees of hunger. Without
appealing to lower time costs of food preparation in the market as
opposed to at home, we demonstrate that socially optimal portions exceed
the average home-cooked meals in size. When providing more portion
options, supersizing is one of them--and this actually reduces the size
discrepancy between average home-cooked meals and restaurant meals.
Moreover, if technological advances in food production allow for
lower marginal costs relative to the fixed costs of food preparation
(which is what we have experienced over the past few decades), the
resulting discounts are passed along to consumers in two ways: bigger
portions, and more consumers demanding the biggest portion.
Despite the fact that we characterize expected welfare maximizing
portion sizes, rather than those derived at by a profit-maximizing
Ronald McDonald, our findings are consistent with recent trends and
observations in the food industry. To the degree that prices in a
(monopolistically or perfectly) competitive industry reflect underlying
costs and our cost assumptions are in line with those observed in the
food industry, the findings of the model suggest that recent trends in
American restaurants are consistent with welfare-enhancing competitive
pressures--despite also being waistline enhancing!
The problem here is thus not necessarily manipulative marketing
practices by big food or lack of self control, time, or self-awareness,
although these can exacerbate the problem (Mancino and Kinsey, 2004),
neither is it that food is not freely disposable. Instead, the problem
of increased food consumption may well be that if an individual has not
reached satiation, utility is increased by consuming more. And once the
sunk costs are sunk, that is exactly what most people do--thus,
consuming at levels in excess of the first best that they would obtain
at home.
The policy response is not clear. Should firms be restricted from
responding to consumer tastes and forced to give them what is
"good" for them rather than what they want? Clearly, if
consumer tastes were to shift toward smaller portions and low-energy
foods and away from the satisfyingly large portions of calorie-dense
foods (Prentice and Jebb 2003), restaurants would respond or would be
forced out of business. Perhaps the recent reduction in average body
mass index (although not obesity) in the United States (Economist 2003)
heralds the onset of such a shift in tastes. On the other hand, recently
Ruby Tuesday, a large restaurant chain, had to abandon an attempt to
offer smaller, healthier portions because this move had angered
customers and led to a 5% drop in sales (Nation's Restaurant News
2005). Thus, for now, public policy may be hamstrung.
REFERENCES
Atkins, R. C. Dr. Atkins New Diet Revolution. New York: M. Evans,
2002.
Ayers, C. "Health Warning: Eating Can Make You Fat."
Times of London, June 14, 2002.
BBC. "Fat Tax 'Could Save Lives.'" January 28,
2000, 8:16 GMT.
Bednarek, H., T. D. Jeitschko, and R. A. Pecchenino. "Gluttony and Sloth: Symptoms of Trouble or Signs of Bliss? A Theory of Choice in
the Presence of Behavioral Adjustment Costs." Contributions to
Economic Analysis & Policy, 5(1), Article 6, February 2006.
Carpenter, D. "McDonald's to Dump Supersize Portions." Salon.com, March 3, 2004.
Chou, S.-Y., M. Grossman, and H. Saffer. "An Economic Analysis
of Adult Obesity: Results from the Behavioral Risk Factor Surveillance
System." NBER Working Paper 9247, 2002.
Cole, T. J. "The Secular Trend in Human Physical Growth: A
Biological View." Economics and Human Biology, 1, 2003, 161-68.
Costa, D. "Height, Weight, Wartime Stress, and Older Age
Mortality: Evidence from the Union Army Records." Explorations in
Economics History, 30, 1993, 424-49.
Cutler, D. M., E. L. Glaeser, and J. M. Shapiro. "Why Have
Americans Become More Obese?" Journal of Economic Perspectives, 17,
2003, 93-118.
Economist. "Survey: Food." December 11, 2003.
Finkelstein, E., C. Ruhm, and K. Kosa. "Economic Causes and
Consequences of Obesity." Annual Review of Public Health, 26, 2005,
14.1-14.9.
Fonda, D. "The New Slim Pickings." Time, September 22,
2003.
Griffith, D. "Junk Food Junked: Governor Signs Bill Strictly
Limiting Sales in Public Schools." Sacramento Bee, September 16,
2005.
Jones, A. "WHO Calls for Taxes to Combat Obesity."
Financial Times, December 5, 2003.
Lakdawalla, D., and T. Philipson. "The Growth of Obesity and
Technological Change: A Theoretical and Empirical Examination."
NBER Working Paper 8946, 2002.
Los Angeles Times. "California to Ban Soda in School Vending
Machines." September 16, 2003.
Mancino, L., and J. Kinsey. "Diet Quality and Calories
Consumed: The Impact of Being Hungrier, Busier and Eating Out."
Food Industry Center, University of Minnesota, Working Paper 04-02,
2004.
Martinez-Gonzalez, M. A., J. A. Martinez, F. B. Hu, M. J. Gibney,
and J. Kearney. "Physical Inactivity, Sedentary Lifestyle and
Obesity in the European Union." International Journal of Obesity
Related Metabolic Disorder, 23, 1999, 1192-201.
May, P. "Trade in those Burgers and Fries? Not so Fast."
Miami Herald.com, June 5, 2003.
--. "Fast-Forward: What Will the McMenu of the Future Look
Like?" Miami Heraldcom, June 5, 2003.
Nation's Restaurant News. "Ruby Tuesday: Portion Cut
Leads to 5% Sales Dip." January 24, 2005.
Nestle, M. Food Politics: How the Food Industry Influences
Nutrition and Health. Berkeley: University of California Press, 2002.
Nielsen, S. J., and B. M. Popkin. "Patterns and Trends in Food
Portion Sizes, 1977-1998." Journal of the American Medical
Association, 289, 2003, 450-53.
Prentice, A. M., and S. A. Jebb. "Fast Foods, Energy Density
and Obesity: A Possible Mechanistic Link." Obesity Reviews, 4,
2003, 187-94.
Rauch, J. "The Fat Tax: A Modest Proposal." Atlantic,
December 2002.
(1.) Somewhat at odds with this finding is that although caloric intake per meal has not changed, the number of meals consumed has
(Cutler et al. 2003).
(2.) Given that we are measuring utility from food intake, one
might want to consider a utility function that has a maximum (satiation
point). However, the following analysis uses a first-best reference
point at which marginal utility is positive, so the particular
specification chosen here does not affect the results and is without
loss of generality.
(3.) The assumption of a uniform distribution makes the calculation
particularly convenient, especially because we are dealing with implicit
functions. However, the following results likely follow with any
unimodal distribution.
THOMAS D. JEITSCHKO and ROWENA A. PECCHENINO *
* We thank John Sutton, three referees, the coeditor, and
participants of the Irish Economics Association 2004 Meetings. Any
remaining errors are ours alone.
Jeitschko. Associate Professor, Department of Economics, Michigan
State University, 110 Marshall-Adams Hall, East Lansing, MI 48823. Phone
1-517-355-8302, Fax 1-517-432-1068, E-mail jeitschk@msu.edu
Pecchenino: Professor, Department of Economics, Michigan State
University, 110 Marshall-Adams Hall, East Lansing, M148823. Phone
1-517-355-5238, Fax 1-517-432-1068, E-mail rowenap@msu.edu