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Building Sustainable Homeownership:
Responsible Lending and Informed Consumer Choice

Federal Reserve Bank of Atlanta
1000 Peachtree Street N.E., Atlanta, Georgia 30309
July 11, 2006



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This is an extension of research that has been conducted in 1151
several other product context, including nutrition labeling 2151
both on food product packages and restaurant menus, dietary 3151
supplement labeling, claim and warning effects on consumer 4151
perceptions of alcoholic beverages, and the effects of on 5151
package graphics and health information on consumer 6151
perceptions of cigarettes. 7151
          Through this research I have found several 8151
commonalities that may aid in the refinement of truth and 9151
lending and RESPA disclosures.  I will be basing my comments 10151
on prior results we have found across the previously 11151
mentioned product context. 12151
          My first recommendation is keep the disclosure 13151
short.  Much of our work has examined the effectiveness of 14151
the nutrition facts panel in impacting consumer product 15151
perceptions and evaluation.  Research conducted with my 16151
colleagues, Elizabeth Crier and Scott Burton, found that the 17151
nutrition facts panel, a summary of relevant nutritional 18151
data, does moderate the effects of product claims on several 19151
key dependent measures in both the package and the 20151
restaurant menu context. 21151
          Similarly, in a study of consumers in the mutual 22151
fund market a proposed one page summary prospectus 23151
highlighting performance risk and expense information 24151
interacted with fund performance to impact product 25151
attitudes, investment intentions, risk perceptions, and 1152
expectations of fund performance.  Additional testing is 2152
underway to simplify the disclosure further to avoid issues 3152
of information overload on the part of consumers.  Summary 4152
documents outlining key information and given to consumers 5152
prior to the legally required disclosures and potentially 6152
excessive paperwork associated with financial transactions 7152
would be a useful tool. 8152
          Second, educate then disclose.  For any disclosure 9152
to be successful across the broadest possible consumer 10152
population, an education effort can and should be introduced 11152
prior to the introduction of disclosure information.  Prior 12152
research we have conducted supports this recommendation.  In 13152
a study of consumer's reactions to the new trans fat 14152
labeling requirements, we found that the addition of trans 15152
fat information on a nutrition facts panel only impacted 16152
product evaluations when consumers were exposed to an 17152
education piece, an article, prior to introduction of the 18152
disclosure.  Consumers were either not aware of or did not 19152
attend to the new information provided about the food 20152
product without that -- without the education piece. 21152
          When informing consumers about products, it 22152
requires significant investment, such as purchasing a home 23152
or refinancing a mortgage.  An education effort combined 24152
with relevant disclosure could yield a more knowledgeable 25152
consumer and is worthy of further investigation.  From a 1153
managerial standpoint, consumer education can yield 2153
opportunities for those companies providing financial 3153
counseling through their trusted advisor role, potentially 4153
increasing customer loyalty while also serving the 5153
consumer's interest. 6153
          Third, use graphics to convey meaning where 7153
appropriate.  In the previously mentioned mutual funds 8153
study, we experimentally tested a one-page prospectus with a 9153
graphic highlighting key performance risk and expense 10153
information versus a one-page prospectus that relied solely 11153
on verbal and numerical information.  The findings for the 12153
graphical format were more robust. 13153
          Similarly, in a study conducted with Keys, Burton 14153
and Andrews, an on package cigarette warning that consisted 15153
of a graphic visual, in this case, a newborn with health 16153
problems, and health information in the form of a warning 17153
significantly reduced repeat purchase intentions for a 18153
sample female smokers.  Graphics when properly utilized can 19153
increase consumers' attention and comprehension of product 20153
information. 21153
          In conclusion, keep it brief.  Time your 22153
disclosure efforts after an education effort.  Use graphics 23153
where appropriate.  I would encourage testing each or all 24153
these ideas within the mortgage market with the broadest 25153
possible sample of consumers.  I thank you for your 1154
invitation and your time. 2154
          MS. BRAUNSTEIN:  Thank you.  Pat? 3154
          MS. MCCOY:  Yes.  My name's Patricia McCoy.  I'm a 4154
law professor at the University of Connecticut.  Thank you 5154
for inviting me here to testify.  In my remarks I will talk 6154
about the truth and lending act and whether it is really 7154
possible to comparison shop for mortgages in subprime 8154
market. 9154
          To evaluate that, we need to ask, how do consumers 10154
learn the price they will pay for credit.  And in talking 11154
about price, I'm going to focus on nominal interest rates 12154
and APR.  As it turns out, price revelation works very 13154
differently in the prime and subprime markets.  That makes 14154
all the difference. 15154
          First, I'll start with the prime market.  This is 16154
the market that TILA was designed for.  In that market, 17154
lenders use average cost pricing and, as a result, prime 18154
mortgages with comparable terms carry roughly the same 19154
rates, not exactly but roughly.  Consumers know that, and 20154
they will not deal with lenders who do not post interest 21154
rates.  As a result, prime lenders post their interest rates 22154
up front and for free.  This makes comparison shopping cheap 23154
and easy in the prime market. 24154
          In the -- In contrast, the subprime market is a 25154
pay to play market.  Why is that?  Under risk-based pricing, 1155
the lender cannot determine the actual price for the loan 2155
until the customer reveals information about his or her 3155
credit worthiness.  As a result, at least today, the 4155
subprime market requires a customer to apply for a loan, pay 5155
an application fee, and go through underwriting in order to 6155
learn the price.  Even then, often the true price is not 7155
revealed until closing. 8155
          For example, in actual cases that I've looked at, 9155
the prices on subprime loans often turned out to be a moving 10155
target.  A lender or broker might have the customer apply 11155
for one type of loan, price A, say a fixed rate loan; 12155
changed the loan during underwriting to an adjustable rate 13155
mortgage, price B; and then finally change the loan at 14155
closing to something different at price C, say an interest 15155
only mortgage.  Often, the effect is bait and switch. 16155
          Another problem is that subprime lenders treat 17155
their rate sheets as proprietary secrets and do not post 18155
them publicly.  And I have an example on pages 2 to 6 of the 19155
handout.  But this does not stop lenders from quoting their 20155
best prices in general advertisements, even if most of their 21155
subprime customers would not qualify for those prices.  I 22155
have an example on pages 7 to 10. 23155
          For all of these reasons, meaningful comparison 24155
shopping is next to impossible in the subprime market.  So 25155
how well do truth in lending act disclosures work for closed 1156
end mortgages and subprime?  Unfortunately, despite all the 2156
best efforts of the board, they break down. 3156
          First of all, consumers cannot get firm price 4156
quotes before they apply.  Technologically, that is possible 5156
today.  A lender or broker could pull up the customer's 6156
credit score and locate where that puts the customer on the 7156
lender's rate sheet and give a quote that would be subject 8156
to verification of the information the customer provided. 9156
We should strive for that goal. 10156
          Secondly is the problem of general advertisements 11156
that offer the lender's best rate.  Many of these ads are 12156
affirmatively misleading.  They'll have a low teaser rate, 13156
very low, that is really a prime market teaser rate.  And 14156
then, say, bad credit, no problem in the same ad.  That 15156
lures people in.  There will be no disclaimer that the 16156
interest rate could go up, according to your credit 17156
worthiness.  This problem could be addressed either under 18156
HOEPA regulations, TILA regulations, or the board's 19156
authority over unfair and deceptive acts and practices. 20156
          Third is the moving target problem.  With this, I 21156
recommend that final binding disclosures be made in writing 22156
to the consumer at least seven days before closing.  And 23156
then finally, TILA disclosures for adjustable rate and 24156
alternative mortgages are needlessly complex.  I have an 25156
example in the handout.  And they do not provide the worst- 1157
case scenario. 2157
          Instead, we require borrowers to do the math with 3157
the $10,000 example in many cases.  Unfortunately, many 4157
subprime borrowers are just like my law students.  They 5157
can't do the math.  And for these borrowers, we should 6157
provide a worst-case scenario with the actual number that is 7157
appropriate for the principal they're taking out.  With 8157
that, my time is up.  Thank you very much. 9157
          MS. BRAUNSTEIN:  Thanks, Pat.  Jan? 10157
          MS. PAPPALARDO:  Good afternoon.  I'm Jan 11157
Pappalardo.  I'm an economist at the Federal Trade 12157
Commission.  I'm delighted to be here today to participate 13157
in this important discussion about disclosures and mortgage 14157
choice. 15157
          I don't have a prepared statement.  I'm mostly a 16157
researcher, so I'm going to go through a sort of PowerPoint 17157
presentation.  The handouts are available.  I hope that you 18157
have them. 19157
          Before I say anything, I should say that I have to 20157
give my official disclosure that the views projected here 21157
are those of the authors and not necessarily represent the 22157
views of the Federal Trade Commission or any individual 23157
commissioner.  And this is joint work with my colleague, Jim 24157
Lacko. 25157
          Mandatory disclosures are everywhere.  They're on 1158
appliances where you see energy labels, on food products, on 2158
prescription drugs, and on financial products.  The 3158
potential benefits of mandatory disclosures are substantial. 4158
They can educate consumers and help to prevent deception, 5158
reduce search cost and facilitate comparison shopping, 6158
improve consumer decisions, and promote efficient markets. 7158
          But what I have learned in my 20 years at the FTC 8158
is that disclosure policy is tricky.  There are many 9158
questions one must ask before starting a new disclosure 10158
policy.  The first question, is the disclosure really 11158
needed?  Will the information really improve consumer 12158
decisions?  And another question that we fundamentally ask 13158
is why isn't the market voluntarily supplying the 14158
information if consumers value that information. 15158
          The second question, which is often more 16158
problematic than one could imagine, is whether there is a 17158
disclosure that's feasible.  Is there a metric -- a single 18158
metric or a few simple metrics that really impart 19158
complicated information to consumers in an understandable 20158
way?  Will disclosure work as intended?  How will consumers 21158
actually understand and interpret a disclosure?  How will it 22158
actually affect consumer decisions?  Will it help some 23158
consumers but hurt others? 24158
          There are many disclosure pitfalls.  You can 25158
supply irrelevant information, too much information causing 1159
information overload, inadvertently confusing information, 2159
and inadvertently misleading information.  Potential costs 3159
of such mistakes are substantial.  You can actually make 4159
information acquisition and processing more difficult and 5159
more time consuming for consumers.  You can distort consumer 6159
decisions, impose unnecessary compliance costs, distort firm 7159
decisions on product feature offerings, and actually again 8159
inadvertently harm competition. 9159
          Consumer research is very important to assess 10159
proposed disclosures, to try to determine which are the 11159
helpful disclosures and which disclosures cause more harm 12159
than good.  How do you go about doing such research?  Well, 13159
it's important to examine the effect of disclosure on a 14159
sample of relevant consumers, not lawyers or economists. 15159
The second feature is to have controlled testing, to isolate 16159
the effect of the proposed disclosure compared to the right 17159
control condition, either no disclosure at all or perhaps an 18159
alternative disclosure that the marketplace is already 19159
providing.  Research is also important to assess the actual 20159
impact of disclosures, perhaps looking pre and post the 21159
implementation of disclosure regime. 22159
          I'm going to talk to you a little bit today about 23159
a study that we did at the FTC, the FTC mortgage broker 24159
compensation study.  I think the study illustrates that 25159
consumers can understand simple, clear, financial 1160
disclosures.  That's the good news.  Bad news is that it 2160
also shows that some disclosures can confuse consumers and 3160
actually inadvertently lead to worse decisions.  Finally, 4160
back to the good news, I think it illustrates that consumer 5160
research can actually help to improve disclosure policy. 6160
          The studies that I'm going to talk about today is 7160
one that my colleague, Jim Lacko, and I did at the FTC.  And 8160
we did it in response to a proposal by HUD for a new good 9160
faith estimate, which was proposed in 2002.  And part of 10160
this would include a prominent disclosure of compensation 11160
paid to the broker by the lender, usually in the form of a 12160
yield spread premium.  Direct lenders were going to be 13160
exempt from this requirement. 14160
          We had filed comments to HUD suggesting that we 15160
were concerned about this disclosure and that it might be 16160
unnecessarily confusing to consumers and result in worse 17160
loan choices.  We did a controlled test in a setting where 18160
individuals looked at the particular loan document and two 19160
versions of the loan.  And they were asked very specific 20160
questions about the mortgage, whether or not one cost less 21160
than the other and which loan they would choose if they were 22160
shopping for the mortgage. 23160
          Bottom line, the results indicated that we did 24160
worse with the yield spread premium disclosure than without 25160
it.  Much worse than we had anticipated.  The good news, 1161
however, was that without the yield spread premium 2161
disclosure, consumers about 90 percent were able to 3161
understand which loan cost less and would choose the less 4161
expensive loan if shopping for a mortgage.  Thank you very 5161
much. 6161
          MS. BRAUNSTEIN:  Thank you, Jan.  And I know we're 7161
going to want to come back and talk more about that.  Susan? 8161
          MS. KLEIMANN:  Good afternoon.  My name is Susan 9161
Kleimann, and I'm president of Kleimann Communication Group, 10161
a research firm that specializes in making official 11161
documents clear, accurate, and effective.  My focus this 12161
afternoon is not going to be about creating a policy but on 13161
how to make the policy you develop meaningful for people. 14161
          Now, it may be a penetrating glimpse of the 15161
obvious, but most people do not deal with, encounter, and 16161
experience a policy in the abstract, not in the thought. 17161
But in fact, they experience it in a concrete, put-it-in- 18161
their-hand document, a good faith estimate, a privacy 19161
statement, or an enrollment application.  So in terms of 20161
policy having an effect on the intended beneficiaries, the 21161
policy often is only as good as the document communicating 22161
it. 23161
          Now, a good policy document needs to have at least 24161
two qualities:  clarity, as other people have spoken to, and 25161
transparency.  Clarity so that the consumer does not 1162
misunderstand the information in the document, and 2162
transparency so that the document actually communicates 3162
neutrally.  It must not direct an action, it must inform an 4162
action. 5162
          In order for a disclosure to inform clearly and 6162
transparently, consumers must be able to understand and 7162
integrate the disclosed information.  When they don't, what 8162
happens is that the fundamental intent of the disclosure 9162
misses the mark.  Now, the only way to tell if the document 10162
works is to test it, to have consumers work with it, use it, 11162
fill it out, and act upon it. 12162
          Consumer testing isn't about focus groups.  It's 13162
about an intense and rigorous methodology in which consumers 14162
tell you when the document achieves both clarity and 15162
transparency.  Let me tell you about a very specific 16162
instance to illustrate my point. 17162
          Jan has already started talking about it.  When we 18162
were working on a formative redesign process for the HUD's 19162
good faith estimate, we introduced a number of items that 20162
research shows help consumers.  We provided a context to 21162
help them understand the importance of the information.  We 22162
provided a summary sheet to help them see the key 23162
information. 24162
          But we also had a striking aha moment that I don't 25162
believe ever would have surfaced without testing.  A major 1163
policy objective of this redesign effort through HUD was to 2163
include a yield spread premium disclosure.  The goal was to 3163
help consumers shop for the best value on a loan, which in 4163
most cases, would be the lowest cost loan. 5163
          Now, although the initial design of the new GFE 6163
seemed to be working well from our perspective, the study 7163
Jan is talking about in 2003 looked at this and really did 8163
find that there was a problem.  Consumers were being 9163
confused.  Consumers could identify the least expensive 10163
loan, but then they would often choose a different loan, 11163
often with a bias against the mortgage broker.  Now, that 12163
was not the intent of the study.  The study was intended to 13163
really help consumers shop for the best -- the best bargain. 14163
          When we went back -- Based on this we went back to 15163
redo a study and did a somewhat parallel study to what FTC 16163
had done, asking consumers what loan they chose and why they 17163
did it.  And the results were astounding.  In the original 18163
the line had said, bullet, lender payment to borrower for 19163
higher interest rate.  And then there was a little block 20163
that allowed you to fill in what that payment would be. 21163
          When we asked consumers why they would choose a 22163
different loan, they'd see the cheapest but they'd choose 23163
differently, they'd go, well, on the front page it says that 24163
the rate is seven percent.  This says for a higher rate.  So 25163
they assumed in transferring that information that they 1164
weren't going to get the seven percent, they were going to 2164
get a higher percent.  It was one of those moments in which 3164
we went, duh, how could we have missed this, how could we 4164
have missed it. 5164
          So we changed the language to say, you receive a 6164
credit of blank dollars for the interest rate of seven 7164
percent.  This credit reduces your upfront charges.  When we 8164
did that, the results were remarkable.  They not only got to 9164
choose the correct loan about 90 percent of the time -- or 10164
identify which was cheaper, but they also chose the right 11164
loan at about the same percentage rate, whether it was a 12164
broker loan or a lender loan. 13164
          Testing can get you this kind of information.  And 14164
often we confuse that the policy is wrong because, in fact, 15164
it's the disclosure that is messed up.  We really advocate 16164
that you go back, test it with a consumer until you've got a 17164
disclosure that works, and then make your judgment about 18164
whether or not the policy is a good one or a bad one, an 19164
effective one, or an ineffective one.  Thank you. 20164
          MS. BRAUNSTEIN:  Thank you, Susan.  Okay.  I'm 21164
going to pose some questions.  This is all very interesting. 22164
As I think everybody knows, we spend a lot of our life at 23164
the Federal Reserve writing disclosures.  And you know, 24164
frankly, one of the problems we encounter is that any time a 25164
new product comes along or there's a new feature or 1165
something and there's concern about it, as there is now with 2165
the non-traditional mortgages and some other things, the 3165
first thing that we hear from not just the consumer 4165
advocates, but others and including people on Capitol Hill 5165
is, well, do we need a new disclosure about that. 6165
          And after a while, you know, one of the concerns 7165
that we have is you can only disclose so much and you get 8165
into this information overload kind of thing.  And you keep 9165
piling on disclosure after disclosure, and yet people say 10165
you need the most information possible.  And I guess the 11165
question I want to ask is, how do we weed through wanting to 12165
give people complete information about very complex products 13165
and at the same time not overload them to the point where it 14165
all becomes meaningless and nobody's getting what they need 15165
out of this? 16165
          And so, I will throw that open to whoever wants 17165
to.  And I know, John, you had talked a lot about keep it 18165
short, keep it simple, keep it -- which is nice, except when 19165
you have a statute that requires you to disclosure 40 20165
different things on a product.  And so -- 21165
          MR. KOZUP:  You might be able to draw some 22165
parallels with the pharmaceutical labeling.  There's a 23165
summary facts box now on prescription drugs with the 24165
pharmaceutical labels.  What I'm arguing is, yes, there's a 25165
lot that you have to follow.  You have to follow the letter 1166
of the law.  But what I'm saying is there should be some 2166
sort of summarized component. 3166
          In addition to that -- You know, so the summarized 4166
component would focus on -- say, in the case of mutual 5166
funds, what's the key?  It's not past performance.  You have 6166
that little disclosure that says past performance, no 7166
guarantee of future returns, etc., etc.  But what it is is 8166
the expense, so you need to prime people that this is the 9166
information.  This is the salient information out of many of 10166
the things we're trying to communicate to you. 11166
          So, decide what's -- What are the key pieces of 12166
information?  Come up with something in a very short, clear, 13166
concise format that you place front and center, and this 14166
gets into the issue of timing, when do you give them this. 15166
One of the things that I would argue is that when you do -- 16166
You know, you have to teach people to read disclosures.  And 17166
that hasn't happened.  People don't understand. 18166
          I was on the phone this morning with a member of 19166
my advisory board who runs a bank.  He says, I've closed 20166
thousands of real estate loans.  They don't read them.  I 21166
cannot think of a handful of times when the customers came 22166
in with questions about it.  He said, they trust me.  That's 23166
it. 24166
          MS. BRAUNSTEIN:  They just sign where he says 25166
sign? 1167
          MR. KOZUP:  Uh-huh (affirmative).  And he says, I 2167
tell them -- I tell them take -- at least take these -- take 3167
these papers, take them with you, read them.  If you have 4167
any questions, come back.  Where to sign?  How do we make 5167
information that we feel is important?  We prioritize 6167
information.  How does that override the goals of the 7167
consumer who just want the loan, want the money, want the 8167
house, etc.?  That's difficult. 9167
          But what I think -- What I would recommend is 10167
something right on the front that would (A) educate them and 11167
(B) train them how to navigate at least that particular 12167
piece of information in the disclosure. 13167
          MS. BUCHANAN:  If I -- If I could follow up and 14167
just add on to that.  One of our other struggles is it's not 15167
just disclosing 40 different issues associated with one reg. 16167
We also have four or five different lending regs where we 17167
must disclose those 40 pieces of information each. 18167
          So I think one of the struggles we have is an 19167
integration issue.  There may be key pieces among each of 20167
those regs we would want to bring forward into a short, 21167
sweet, and perhaps somewhat negative disclosure.  And what 22167
would be the best way to do that is integration and issue 23167
with all of the sensory overload we get with the one inch 24167
thick stack of disclosures. 25167
          MS. BRAUNSTEIN:  Vanessa? 1168
          MS. PERRY:  I just have sort of two 2168
recommendations just for follow up on both of those points. 3168
One is that, yeah, you can enhance people's processing -- 4168
the summarizing is definitely the key.  But if you start out 5168
by sort of scaring them, that is, with some negative 6168
information and then you allow the consumer to control the 7168
flow of information, what you've done is give them the 8168
information and give them a reason to sort of take steps on 9168
their own to read the fine print or go to another part of 10168
the disclosure. 11168
          But to the extent that people don't feel that they 12168
need the information, they have no reason to sort of start 13168
off reading even the first bullet point in a disclosure.  So 14168
maybe, you know -- I think that might be an approach to get 15168
people -- because there are always going to be 40 pieces of 16168
information, whether they're integrated or not.  There's 17168
always going to be a lot contained in the disclosure.  So 18168
motivating people to want to read through I think is a real 19168
important component. 20168
          MS. BRAUNSTEIN:  And it is -- I found it real -- I 21168
found it very interesting in your remarks when you said the 22168
negative information is what gets their attention.  I mean, 23168
on the one hand that seems kind of common sense.  I guess on 24168
the other hand, I always wondered is it people -- it's like 25168
the worst-case scenario thing, that people think it'll never 1169
happen to them so they tend to blow it off.  But you're 2169
saying, no, that doesn't happen. 3169
          MS. PERRY:  The research shows and there's been a 4169
lot of work on this in a variety of arenas, particularly 5169
with respect to health claims, people will pay more -- they 6169
place more weight on negative information. 7169
          MS. BRAUNSTEIN:  I guess because one of the things 8169
-- you mentioned health and what I was thinking of was when 9169
John talked about the pharmaceuticals. 10169
          MS. PERRY:  Uh-huh (affirmative). 11169
          MS. BRAUNSTEIN:  And you know how now you get 12169
these disclaimers right at the front that say if you take 13169
this drug, you know, it could make you, and it lists like 40 14169
bad things that could happen to you if you take this drug -- 15169
          MS. PERRY:  Very, very bad things. 16169
          MS. BRAUNSTEIN:  -- although they sound dire, but 17169
people still take the medication.  And so that's why -- 18169
          MS. PERRY:  Well, the purpose is not to discourage 19169
them.  The purpose is to get them to read further.  So it's 20169
the same thing with health claims.  Once -- They scare you 21169
by saying, you know, aspirin can cause all sorts of scary, 22169
horrendous things.  It's not to discourage people from 23169
taking aspirin because once they keep reading they realize 24169
that the disclaimers really don't apply to them, but they 25169
would never know that if they didn't read it.  And so it's 1170
the negative information that motivates people.  It gets 2170
people engaged in finding further information. 3170
          MS. BRAUNSTEIN:  That's a good point. 4170
          MR. KOZUP:  Just to follow up on that very 5170
briefly.  Our trans fat study was -- the article that we 6170
gave had negative information.  I mean, it talked about the 7170
risk of trans fat, coronary heart disease, and things that 8170
are associated with it, and that's when we got effects.  So 9170
without it, people didn't attend to that information. 10170
          MS. MCCOY:  It seems to me that this is where 11170
timing can be very helpful because I would assume the 40 12170
disclosures don't necessarily all have to be made at the 13170
same time and so, for example, if -- let's say seven days 14170
before closing, you had a very simple disclosure that is the 15170
Schumer Box plus maybe the worst-case scenario for variable 16170
rate loans.  And it's -- It's all by itself.  It's not with 17170
a whole stack of loan contracts, etc. 18170
          And that gives a cooling off period for the person 19170
to think about the disclosure as well.  So timing can be 20170
helpful.  Also with general advertising, we may be less 21170
concerned with exactly what you will get as opposed to what 22170
you won't get. 23170
          MS. BRAUNSTEIN:  No.  That's a good point, and 24170
timing is something that I did want to discuss.  And I know 25170
you talked about the content, but not really about the 1171
timing.  The mortgage process can go over -- depending, some 2171
people get them in close very quickly.  Other people it can 3171
go over some period of time.  And I wonder about the timing 4171
of disclosures and the retention of that information and if 5171
you get disclosures when you apply for a mortgage, do you 6171
remember them two months later when you go to closing kind 7171
of thing.  Do you -- Have you ever done any studies, either 8171
of you on that or do you have opinions about that? 9171
          MR. KOZUP:  I used to close loans.  I mean, I ran 10171
a branch for a mortgage company and to consumers we would 11171
send things out within three days of application.  Consumers 12171
remember vaguely getting something in the mail.  You know, 13171
and then what you would have to do you would have to -- 14171
          MS. BRAUNSTEIN:  Educate them. 15171
          MR. KOZUP:  -- basically re-educate them at close. 16171
          MS. KLEIMANN:  But I think that part of this is 17171
what John had talked about before is there's an issue of 18171
salience that when you are given an inch thick document it 19171
doesn't matter when the timing is.  The effort that it 20171
requires us as well educated, competent people to go through 21171
that kind of a document and then retain much of it five 22171
minutes, you know, it is really -- it's quite a level of 23171
effort of cognitive processing.  So part of what -- when we 24171
think about timing, we also really do have to think about 25171
how do we give salience for the consumer.  That's how we 1172
help the consumer. 2172
          And whether it's motivation and it's fear or what, 3172
again, a little bit of my hobby horse, but if you test with 4172
consumers, they're going to tell you what's salient. 5172
They're going to say, oh, it bothers me that banks share my 6172
Social Security number.  That's part of the way you can pull 7172
them into the document. 8172
          But you're not really going to be able to figure 9172
that out without talking to the consumers, and then, again, 10172
sorting the information so you're not trying to give them 11172
everything.  You're helping them be able to know what are 12172
the key documents.  Like John said, summary documents really 13172
can be very helpful that way, but not a summary document on 14172
a stack like this is five pages long.  That's not a summary 15172
document for many consumers. 16172
          MR. KOZUP:  One page was too much in the mutual 17172
fund study we had.  We had overload with one page.  So -- 18172
          MS. BRAUNSTEIN:  And how do you know you had 19172
overload?  People said it's too much for me to digest or -- 20172
          MR. KOZUP:  Well, we didn't get -- What we got, we 21172
got interaction effects.  We didn't get main effects for the 22172
actual disclosure.  So what we've got to do, we have to keep 23172
it even simpler.  And we used a -- Even in the situation 24172
with the graphic, one of the things with the graphic -- and 25172
this gets into perceived credibility if you were to go the 1173
graphical route -- we also measured perceived information 2173
amount, along with attitudinal variables and things. 3173
          Consumers did not -- I mean, they liked it.  They 4173
gravitated to that graphical piece, but they didn't believe 5173
it was enough.  So if you did something, you'd have to do 6173
almost a one, two punch.  If you used a graphic, maybe put 7173
that front and center, and then have the supplemental -- 8173
          MS. BRAUNSTEIN:  And explain it. 9173
          MR. KOZUP:  -- information from a legitimacy 10173
perspective. 11173
          MS. BRAUNSTEIN:  I want to come back to one thing 12173
and then I'll give you guys a chance to ask questions.  But 13173
I do want to come back over here to Susan and Jan for a 14173
second.  On your specific example about the GFE, interesting 15173
because it's obviously quite relevant to what we've been 16173
discussing in all these hearings. 17173
          One of the things we've heard over and over again 18173
from the consumer groups is that we should add, you know, 19173
disclosures on yield spread premiums and that that's a 20173
really important piece.  And I guess I'm still not exactly 21173
clear.  What was it the consumers didn't understand about 22173
the YSPs?  What was the problem? 23173
          MS. PAPPALARDO:  In our study I can't tell you 24173
what it was that they didn't understand.  What I can tell 25173
you is that they did worse with the YSP disclosure than 1174
without the YSP disclosure. 2174
          In the back of the study we do have responses to 3174
open ended questions.  You can kind of peruse through.  You 4174
can see what some of the open ended comments were.  It's a 5174
story to be told there, but it's not scientific in the sense 6174
of testing a specific hypothesis. 7174
          What we can say is that both in the situation 8174
where they had identical cost loans and where one loan cost 9174
less than another loan, they did worse in terms of 10174
identifying the true cost of the loan and there was a bias 11174
in terms of which loans they would choose if they were 12174
choosing to a particular loan.  And they would choose in our 13174
study with the examples that we used the direct lender loan 14174
where the yield spread premium was not disclosed as opposed 15174
to the more so than the mortgage broker loan. 16174
          MS. KLEIMANN:  If I can -- Jan and FTC did their 17174
study.  And then based on the results that they were 18174
getting, HUD came back to us and asked us to do some 19174
modification for the notice to the good faith estimate.  And 20174
what we were seeing was it was the use of that phrase higher 21174
rate that they were just making the assumption.  It's what 22174
you want consumers to do, carry a piece of information from 23174
page 1 onto to page 2 and integrate it. 24174
          Unfortunately, they were integrating poorly.  And 25174
with that change of language, and we tested both the yield 1175
spread premium being revealed and then also when we're -- 2175
there was a little check box that said our cost is rolled up 3175
into the previous number that you see, consumers really did 4175
perform comparably.  So if it was a different loan, they 5175
could identify the lowest loan and they could choose -- they 6175
could say this would be the loan I would choose. 7175
          So it was very close.  I mean, maybe 97 percent 8175
were choosing correctly, but about 88 percent -- I'm sorry 9175
-- 97 percent were identifying correctly, and then about 87, 10175
88, 89 percent right in there also chose correctly with the 11175
assumption that choosing the lower cost loan would be right. 12175
          And I think that it does -- Again, it speaks to 13175
the importance of having these kinds of research questions. 14175
Without the study that FTC had done, I don't think -- I know 15175
we would not have gone back and made those changes and tried 16175
to document that in fact it was working. 17175
          Now, is there more research we could do? 18175
Absolutely on it.  But this is one of those places where 19175
very specific information, language on this.  It wasn't the 20175
policy.  It was the language that made a difference. 21175
          MR. MICHAELS:  I want to follow that up a little 22175
bit because this morning I heard two different 23175
representatives from the mortgage brokers trade association 24175
talk about taking the good faith estimate and making it look 25175

Nancy Lee & Associates, Atlanta, Georgia, 404-315-8305

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2006 Hearings