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When Bigger Isn't Better

One of my Ph.D. students at Oklahoma State (and soon to be faculty member at Mississippi State University) has been working on an interesting paper on the impacts of changing cattle sizes on the desirability of steaks.  The average beef cow now weights more than 300lbs more than it did a few decades ago.  Generally that's a good thing as we can get more meat from fewer animals (which means less resource use, less land, less greenhouse gas emissions, etc. in addition to lower prices for consumers).  

But, there's a downside:

As a response to varying muscle sizes such as the ribeye, grocery stores and restaurants are often forced to adjust the thickness to which the steaks are cut in order to meet a target weight. Thus, a ribeye steak from a carcass with a large [loin] will likely be cut thinner than a ribeye steak from a carcass with a smaller [loin]. This has led to the introduction of “thin cut” steaks in some grocery stores. Compounding the issue of altering larger steaks are the historically strong beef prices. Some retailers utilize target prices for packages of steaks. Therefore, consumers are not only facing high beef prices, but also an increase in total package price due to the larger dimensions of the steak. This has caused retailers to reduce thickness to meet a target package price.

The key question, then, is whether people prefer thicker steaks with smaller surface areas (like those that existed 20 years ago) or thinner steaks with larger surface areas (like those that sell today)?  To address this question, a survey was taken by a representative sample of over 1,000 steak consumers.  We gave consumers choices like the one below, and asked which steak they'd choose.  Consumers answered a number of these questions where the steak thickness, area, and price, systematically varied across choices.  

So, what did we find?  For most consumers, there is a trade off between thickness and size.  Moreover, it seems changes in thickness are more important than changes in size.  As a result, most consumers are less happy with the steaks they see today in the grocery store (holding prices constant).  That is, consumers prefer a thicker, smaller area steak to a thinner, larger area steak.  We use the estimates to do a little thought experiment.  How much additional money would have to be to give to today's consumers to make their steak choices as satisfying as they were 40 years ago (in terms of thickness and area, holding prices constant)?   

Table 6 reports the estimated welfare changes by moving from a scenario where the choice set include small area and thick steaks (40 years ago scenario) to a scenario where the choice set includes large area and thin steaks (today scenario). Estimated welfare changes were
calculated for the conditional logit model as well as the two classes from the latent class model
which had statistically significant estimates for price per package. The welfare change estimate
from the conditional logit model implies that moving from the scenario representing 40 years ago to today’s scenario decreased welfare by $5.37 per choice, an amount that is statistically
significant at the five percent level. When multiplied by the number of steak purchases in the U.S. each year, estimates from latent classes one and two suggest decreases in total welfare of
$5.8 billion and $2.8 billion respectively, by moving toward a choice set with large area and
thin steaks, though the estimate for class one is not statistically significant at the 5 percent level.

Now, it should be noted that consumers might be, overall, better off from changing cattle sizes because they now have more ground beef available and because prices are lower than they'd otherwise be.

Josh's paper was accepted for presentation in one of the new lightening sessions at the AAEA meetings this year in Boston.  These are short sessions where authors have only seven minutes to present their work.  Here's Josh presenting this paper in lighting session format.

Millennials' Food Values

I've given a couple presentations recently on food trends, and in each instance I was asked whether the so-called Millennial generation thinks differently about food issues than older generations.  I haven't spent a lot of time delving into this question because a lot of the willingness-to-pay research I've been involved with over the years suggests demographics don't tend to explain a lot of the variation in willingness-to-pay.

But, given the interest in the subject, I thought I'd take a quick look at some of the data from the monthly Food Demand Survey (FooDS) I've been running for over three years now.  In particular, I pulled the data we ask on so-called "food values."  The question shows respondents 12 issues (randomly ordered across surveys) and asks respondents which are most and least important when buying food.   Respondents have to click with their mouse and drag four (and only four) items in the “most important” box and then do the same for the “least important” box. 

A scale of importance is created by calculating the proportion of times (across the entire
sample) a food value appeared in the most important box minus the proportion of times it
appeared in the least important box. Thus, the range of possible values for a food value is from -1 to +1, where a higher number implies more importance (a +1 would mean the particular food value was placed in the most important box by 100% of respondents). This is a zero-sum scale, and it only reveals relative importance (e.g., how importance taste is compared to price) not overall importance.   

Ok, so here's a graphical illustration of the food values by age group (I've pulled the data over time, so each age group has several thousand observations, yielding margins of error of around +/- 0.025 importance points).

Except for the oldest group, there is agreement in ranking at the top: Taste>Safety>Price.  In the middle-range of importance, there is far less agreement.  Both the 18-24 year old group and the 25-34 year old group could be considered Millennials according to most definitions I've seen.  The Millennials place less relative importance on nutrition than the 55 and older crowd.  However, the top four issues (taste, safety, price, and nutrition) are way more important than the other issues regardless of the generation under consideration.

The Millennials place less importance on appearance but more relative importance on naturalness, animal welfare, convenience and environment than do older generations, particularly the 65 and older group, which compared to the other age groups, places the lowest importance on naturalness, animal welfare, and environment.  There is a big divide when it comes to the importance of origin: the 65 and older group places quite a bit more importance on origin than do people who are 24 years and younger.  

The biggest gap is for origin (there is a 0.30 spread on the -1 to +1 scale) between the youngest Millennials and the oldest group.  The next biggest gap is for naturalness (there is a 0.22 spread on the importance scale) between the oldest group and the 25-34 year old Millennials.  The most agreement is for "fairness."

It might also be instructive to compare all this along another demographic category: gender (margin of error here is +/- 0.014).  

Women place more relative importance on safety, animal welfare, and naturalness than men. Men place more importance on convenience and novelty than women.  The biggest gap is for animal welfare (a 0.19 point difference on the -1 to +1 scale) and then convenience (a 0.16 difference).  

What Consumers Don't Know about GMOs

Yesterday the Journal of the Federation for American Societies for Experimental Biology (FASEB) published a paper I co-authored with Brandon McFadden from the University of Florida.  We surveyed a representative sample of over 1,000 US consumers and probed the depth of their knowledge about GMOs.  

We asked questions about the number of genes affected by different plant breeding techniques, prevalence of use of GMOs for different crops and foods, true/false questions about genetics and GMOs, knowledge of the length of time biotech crops have been grown, regulatory approval times for GMOs, views on public policies directed toward GMOs.  Before and after asking these questions, we asked respondents to rate their self-assessed knowledge of GMOs and to indicate their belief that GMOS are unsafe or safe to eat.  

The overall finding is 1) consumers, as a group, are unknowledgeable about GMOs, genetics, and plant breeding and, perhaps more interestingly, 2) simply asking these objective knowledge questions served to lower subjective, self-assessed knowledge of GMOs (i.e., people realize they didn't know as much as they thought they did) and increase the belief that it is safe to eat GM food.  

The implications are two fold: 1) using consumer opinions about GMOs to guide public policy is problematic given the low levels of knowledge, and 2) using something like the Socratic Method may as effective at changing safety beliefs than simply providing information.    

Restaurant Performance Index

I was recently made aware of the so-called Restaurant Performance Index (RPI) put out by the National Restaurant Association (NRA).  According to their website: 

The RPI is based on the responses to the National Restaurant Association’s Restaurant Industry Tracking Survey, which is fielded monthly among more than 400 restaurant operators nationwide on a variety of indicators including sales, traffic, labor and capital expenditures. Restaurant operators interested in participating in the tracking survey

and

Index values above 100 indicate that key industry indicators are in a period of expansion, while index values below 100 represent a period of contraction for key industry indicators. The Index consists of two components – the Current Situation Index, which measures current trends in four industry indicators (same-store sales, traffic, labor and capital expenditures), and the Expectations Index, which measures restaurant operators’ six-month outlook for four industry indicators (same-store sales, employees, capital expenditures and business conditions).

I was a bit curious. How well do some of the variables I'm tracking in my Food Demand Survey (FooDS) follow the NRA's RPI?  By looking back at past releases, I was able pull together  monthly data on the overall RPI, the current situation index, and the expectations index, and I merged these with data from FooDS on average reported spending on food away from home and changes in anticipated spending on food away from home each month.  

First, the good news.  Spending on food away from home (as measured by FooDS) seems to track closely with the RPI-current situation index.  

It probably isn't too surprising that the two are positive correlated since two of the measures of the RPI-current situation index are same store sales and traffic volume; however, it is still comforting to see my FooDS data roughly track this measure from the NRI.  One benefit of FooDS is that we release the data in a more timely manner.  Right now, the latest figures available from the National Restaurant Association (NRA) are for March.  However, I already have a measure of April's away from home food expenditures from FooDS (it's $55.43).  A simple linear regression predicts that NRA's current situation index will be 102.3 for April.  We're already fielding May's FooDS right now, so I can make an even more up-to-date forecast in a few days.

Now, the not-so-good news.  In FooDS, we track consumers' stated intentions to increase or decrease spending on food away from home in the following weeks.  One "anomaly" present in the FooDS data is that, every month, people say they plan to spend less on food away from home next month.  Over the three years we've been doing FooDS, the measure ranges from a -2.4% cutback in spending to a -1.05% cutback in spending (average is -1.59%).  I interpret this as people feeling guilty about spending on food away from home, and perhaps even evidence of a self-control problem: people plan to cut back on eating out but rarely actually do.  In any event, despite this "bias", trends in this variable might still be useful as there are some months people plan to cut back more than others.  

Here's a plot of the planned spending change on food away from home from FooDS alongside the expectations portion of the NRA's Restaurant Performance Index:  

While the correlation between the two is positive, it is pretty weak.  The two track each other pretty closely through about mid 2014 and then start moving in opposite directions.  The two measures are getting at slightly different things.  One is measuring how restaurant owners/managers are planning to change capital expenditures, staffing, and what they think sales will be in the future; the other is a measure of how much consumers think they'll change spending.  Maybe all this says is that restaurant operators' expectations are not the same as restaurant consumers' expectations.  

So, here's a little test.  How well do restaurant owner's expectations this month correlate with their own "acutal" (or current performance index) the following month?  The correlation between the lagged NRA expectation index and the current period NRA current situation index is 0.35.  O.k., so there is some accuracy associated with the NRA's expectation index.

Now, let's do the same thing with the FooDS data.  How well do consumers' expected spending changes this month correlate with their own "acutal" food away from spending next month? The correlation between the two is 0.68.  So, despite the fact consumers' expectations are downwardly biased as discussed above, changes in their expectations seem quite predictive of next month's spending on food away from home.    

So, it seems consumers (in aggregate) know their own futures a bit better than restaurant operators know theirs.  

Can I get that with an extra GMO?

That's the title the editors of the Wall Street Journal gave to my piece that was published today.  I touched on the issue of GMO labeling, but also tried to elevate the discussion a bit to delve into the broader issues at play.  

Here are a few snippets:

Lost in the politics is a deeper debate about the future of our food system. At the core of many anti-GMO arguments lies a romantic traditionalism, a desire for food that is purportedly more in line with nature. Perhaps we should eat only the food that God gave us. Yet manna rarely falls from heaven.

The truth is that what we eat today differs radically from the food eaten even a few hundred years ago. Carrots used to be purple. Random mutations and selective breeding led to their signature color during the 16th century in the Netherlands, where it later was claimed the new varieties honored the King William of Orange. Broccoli, kale, cauliflower and Brussels sprouts all emerged from the same wild plant. Potatoes and tomatoes originated in the Americas and were never eaten in Europe and Asia until after the New World was discovered. Today we eat more and better than ever, precisely because we did not accept only what nature provided.

and, in conclusion, after discussing the host of new biotech innovations coming to market:

Food manufactures today may be reluctant to label foods made using biotechnology. But one day soon, when the fad against GMOs fades, they might be clamoring to add the tag: proudly produced with genetic engineering.