Title: Discussion of Campbell and Hercowitz
1Discussion of Campbell and HercowitzsHome
Equity and Wealth During the Transition to a High
Debt Economy
2Overview
- Stylized Fact Use of debt has increased
dramatically in the U.S. during the last two
decades.
3Overview
- Stylized Fact Use of debt has increased
dramatically in the U.S. during the last two
decades. - My discussion
- - Why should this be of interest to
macroeconomists?
4Overview
- Stylized Fact Use of debt has increased
dramatically in the U.S. during the last two
decades. - My discussion
- - Why should this be of interest to
macroeconomists? - - What are the potential causes for the increase
in debt?
5Overview
- Stylized Fact Use of debt has increased
dramatically in the U.S. during the last two
decades. - My discussion
- - Why should this be of interest to
macroeconomists? - - What are the potential causes for the increase
in debt? - - Can we learn anything about the causes of the
increase of debt from time series trends?
6Overview
- Stylized Fact Use of debt has increased
dramatically in the U.S. during the last two
decades. - My discussion
- - Why should this be of interest to
macroeconomists? - - What are the potential causes for the increase
in debt? - - Can we learn anything about the causes of the
increase of debt from time series trends? - - Throughout, I will discuss the contributions of
the Campbell and Hercowitz paper to this
literature?
7Part 1 Why Should (Macro) Economists Care?
- An Explanation for The Great Moderation
- U.S. volatility was reduced dramatically starting
around 1983 (see, for example, Stock and Watson
2002). - Common explanations focus on either 1) better
monetary policy, 2) more favorable aggregate
shocks, or 3) improvements in firm management of
inventories. - Given that consumption is the largest component
of GDP, innovations in the ability of consumers
to weather aggregate shocks will mitigate
aggregate volatility.
8Part 1 Why Should (Macro) Economists Care?
- An Explanation for The Great Moderation
- U.S. volatility was reduced dramatically starting
around 1983 (see, for example, Stock and Watson
2002). - Common explanations focus on either 1) better
monetary policy, 2) more favorable aggregate
shocks, or 3) improvements in firm management of
inventories. - Given that consumption is the largest component
of GDP, innovations in the ability of consumers
to weather aggregate shocks will mitigate
aggregate volatility. (Behavior of consumption
during last recession) - See recent work by Dynan et al (2006) and
Campbell and Hercowitz (2006) for novel
discussions.
9Why Should (Macro) Economists Care?
- 2. Welfare Implications for Consumers (Including
Sub Populations) - - Not only smooth aggregate shocks, but better
able to smooth idiosyncratic shocks or
predictable lifecycle variation. - - The increase in debt likely helped some sub
groups much more than others. The median
household likely always had some access to debt
(store cards, etc.). - - Historically, low income households were
essentially excluded from credit market. May
predict that the welfare gains would be largest
for low income individuals.
10Why Should (Macro) Economists Care?
- 3. Lower U.S. Savings Rates
- - Lower U.S. Investment?
- - Higher U.S. Interest Rates?
- - Increased Foreign Capital Inflows?
- Note I will return to the declining U.S.
savings rate in a few minutes. - Increased Bankruptcy (Default) Probabilities
- Changing Wealth Inequality within U.S.
11Part 2 Natural Question
- What caused the sharp increase in debt (both
collateralized and non-collateralized) among all
groups of U.S. households during last - forty years?
- - Supply side factors
- - Demand side factors
12Supply Side Factors Legislation
- Monetary Control Act 1980
- Garn-St. Germain Act 1982
- - Both of above increased the competitiveness
in consumer lending - - Focus of the shock to credit market in this
paper.
13Supply Side Factors Legislation
- Monetary Control Act 1980
- Garn-St. Germain Act 1982
- - Both of above increased the competitiveness
in consumer lending - - Focus of the shock to credit market in this
paper. - Federal Housing Enterprises Financial Safety Act
(Mandate Fannie and Freddie better serve low
income households) 1992 - - Change the composition of borrowers in the
average mortgage pool - Riegle-Neal Act (Interstate Banking) 1994
- - Further increase competitiveness among
banks
14Supply Side Factors Technology
- Technological advances reduced the cost of
providing financial services. - Computers Allowed lenders to store large
amounts of data about perspective borrowers and,
in doing so, allowed them to price borrower risk
more effectively. - - Invention and use of FICO scores (1990-ish)
- - Reduced credit rationing
- - Bennett, Peach, and Peristiani Structural
Change in the Mortgage Market and the Propensity
to Refinance (JMCB 01)
15Supply Side Factors Technology
- Technological advances reduced the cost of
providing financial services. - Computers Allowed lenders to store large
amounts of data about perspective borrowers and,
in doing so, allowed them to price borrower risk
more effectively. - - Invention and use of FICO scores (1990-ish)
- - Reduced credit rationing
- - Bennett, Peach, and Peristiani Structural
Change in the Mortgage Market and the Propensity
to Refinance (JMCB 01) -
- Securitization Innovations and managing risk
through pooling loan portfolios (CMOs, etc.).
Increasingly important for non-collateralized
loans as well as high risk collateralized loans
(early 1990s). - Endogenous to regulations? Maybe/Maybe Not
16Demand Side Factors
- Aggregate Volatility Declining (Starting in 1983)
- Declining volatility should result in declining
precautionary savings. - Although, evidence suggests that for some groups
individual income volatility increased despite
declining aggregate volatility. - Bankruptcy Option
- Decline in Bankruptcy Costs (stigma, information,
out of pocket expenses) - Increases in Bankruptcy Exemptions (1978
Bankruptcy Reform) - Equilibrium would have higher debt and higher
defaults (coupled with higher interest rates).
17Summary
- Lots of reasons why debt could have increased
during the last 20 years. - - The role of technology (including the ability
to credit score) and securitization are likely
an important component of the story. - - Along with changes in GSEs policies, changed
the mix of borrowers. - My read of the literature is that the innovations
in lending occurred continuously throughout this
time period. - Cause of the increase in debt is important for
interpreting the trends in the aggregate data
(and for interpreting the results from calibrated
models) .
18Part 3 What is Campbell and Hercowitz About?
- Sets out to ask what is the response to
consumption, work hours, debt, the wealth
distribution, etc. from an exogenous increase in
households ability to accumulate collateralized
debt. - Key All borrowing in the economy is
collateralized. - Extent of collateralization has two components
- p is the required equity needed to purchase a
durable (i.e., the down payment). - is the parameter that governs the speed of
subsequent equity accumulation (think of this as
the ability to refinance). - Focuses on a shock in the early 1980s (financial
deregulation) that causes both p and to
change immediately.
19Part 3 What is Campbell and Hercowitz About?
- Two types of households borrowers and
savers. - - Utility f(durables, non-durables, and
leisure) - The only reason borrowers accumulate debt
within the model is impatience (savers are
relatively more patient) - Borrowers are always bound by the liquidity
constraint in steady state. - Model is general equilibrium (wages and interest
rates adjust only borrowers work) - Borrowers do no saving and savers do no
borrowing. (All action in the model is between
the trade of resources between borrowers and
savers).
20Part 3 What is Campbell and Hercowitz About?
- Results from an exogenous decline in equity
needed to purchase durables - 1) Savers better off and borrowers worse off
at the new steady state. - 2) Borrowers are worse off because interest
rates on debt increases, labor supply increases,
and wages fall. - Why do borrowers increase debt? Welfare gains
during transition! - Constraint is relaxed along the early part of the
transition path borrowers can use current
durables to expand current consumption. - 3) Steady state wealth distribution becomes more
unequal (borrowers go more in debt and savers
increase wealth via loans)
21Part 4 A Look at the Data
- Trends in collateralized debt
- - LTVs for mortgages (initial equity
requirement, p) - - Refinancing behavior (speed of subsequent
equity accumulation, ) - Trends in non-collateralized debt
- - Levels
- - Access
- Trends in wealth distribution
-
22Loan-To-Value (LTV) Ratios At Time of Purchase
Increase
- Notice that initial LTV is constant up through
1989 - Model predicts debt (LTV) should start to
increase immediately
23Historical LTVs for New Mortgages (Including
Refis)
Increase starts 1992
1983
Source Federal Housing Finance Board
24Some Facts Homeownership Rates
1994
1983
Source Census Bureau
25Refinancings Over Time
- Define ? as the elasticity of refinancing
propensity with respect to interest rate
declines. - Research shows that ?(2002) gt ?(1998) gt ?
(1993) gt ? (1986) - In other words, refinancing has continuously
become more common over time. - Bennett et al (2001) attribute this to the
continuous decline in the cost of originating a
mortgage.
26Understanding The Role of Debt in the Macroeconomy
Initial Fees and Charges on Conventional
Single-Family Mortgages
1983
Notice Stead Decline
Note the Steady Decline
Source Federal Housing Finance Board
27Non-Collateralized Debt Per Capita/Per Income
28Access to Non Collateralized Credit
- Credit Card Access by Income Quintile by Year
(fraction with card) - Quintile 1970 1983 1989 1995
- Q1 2 11 17 28
- Q2 9 27 36 54
- Q3 14 41 62 71
- Q4 22 57 76 83
- Q5 33 79 89 95
- Source Durkin (2000)
- Note Trend continues since 1970.
29Access to Non Collateralized Credit
- Credit Card Access by Income Quintile by Year
(fraction with card) - Quintile 1970 1983 1989 1995
- Q1 2 11 17 28
- Q2 9 27 36 54
- Q3 14 41 62 71
- Q4 22 57 76 83
- Q5 33 79 89 95
- Source Durkin (2000)
- Note Look at the Trend starting in 1970.
30Share of Wealth Held By Top 10
1990
Figure 2 from Campbell and Hercowitz
31Share of Housing Held By Top 10
1990
1990
Figure 2 from Campbell and Hercowitz
32Mortgage Debt/Owner Occupied Real Estate
1983
1990
Steady increase starting around 1985
33Comment 1 Measuring the Shock
- Are the legislative changes in the early 1980s
the appropriate shock to calibrate the model? - - For some analyzes, the distinction is not
important. - However, this papers focus (and interpretation
of results) hinge on the transition dynamics.
34Comment 1 Measuring the Shock
- Are the legislative changes in the early 1980s
the appropriate shock to calibrate the model? - - For some analyzes, the distinction is not
important. - However, this papers focus (and interpretation
of results) hinge on the transition dynamics. - - How can transition dynamics be isolated from
subsequent shocks to lending technology or
lending competition?
35Comment 1 Measuring the Shock
- Are the legislative changes in the early 1980s
the appropriate shock to calibrate the model? - - For some analyzes, the distinction is not
important. - However, this papers focus (and interpretation
of results) hinge on the transition dynamics. - - How can transition dynamics be isolated from
subsequent shocks to lending technology or
lending competition? - Data shows that most of the lending measures
(LTV, Debt to Income, credit card debt) did not
substantially change until the early 1990s or
continuously evolved over the period? - Timing of shock is important for interpreting
magnitudes. - Timing of shock is important for testing model
predictions.
36Comment 1 Measuring the Shock
- Even if we believe qualitative results and the
timing of only one shock, do quantitative
magnitudes make sense given the data? - Model estimates that the liquidity constraint
re-binds for borrowers after 30 quarters (7
years). Yet most of the action does not take
place on the borrowing side until after 1990? - If successive shocks were hitting the economy,
how do we interpret the model parameters? The
imputed welfare gains? - Understanding the origins of the shock is
important for shaping future policy
recommendations. Is it deregulation or
computers? - Question Can you estimate the model where the
lending technology is evolving (perhaps at some
constant rate) over the last twenty years?
37Comment 2 Other Motives for Accumulating Debt
- Other potential reasons households accumulate
debt - 1) To smooth idiosyncratic labor risk
- 2) To smooth predictable income changes over
the lifecycle. - 3) To smooth aggregate shocks.
38Comment 2 Other Motives for Accumulating Debt
- Other potential reasons households accumulate
debt - 1) To smooth idiosyncratic labor risk
- 2) To smooth predictable income changes over
the lifecycle. - 3) To smooth aggregate shocks.
- Welfare gains from smoothing income could be
huge. - - Borrowers could be better off even in the new
steady state - - Only reason borrowers accumulate debt in this
model is impatience.
39Comment 2 Other Motives for Accumulating Debt
- Other reasons households accumulate debt
- 1) To smooth idiosyncratic labor risk
- 2) To smooth predictable income changes over
the lifecycle. - 3) To smooth aggregate shocks.
- Welfare gains from smoothing income could be
huge. - - Borrowers could be better off even in the new
steady state - - Only reason borrowers accumulate debt in this
model is impatience. - To provide quantitative results for policy
purposes, it would be important to model other
reasons to accumulate debt besides impatience. - Question Why not set up an OLG lifecycle
analysis? What about the role for
non-collateralized debt?
40Comment 3 Testing the Mechanism
- Sharp decline in U.S. savings rate
- (From Figure 1 of Maki and Palumbo, 2001)
1983
1992
41Comment 3 Testing the Mechanism
- Savings rates by income quintiles (Table 2 from
Maki and Palumbo, 2001)
42Comment 3 Testing the Mechanism
- Savings rates by income quintiles (Table 2 from
Maki and Palumbo, 2001)
43Comment 3 Testing the Mechanism
- Savings rates by income quintiles (Table 2 from
Maki and Palumbo, 2001)
44Comment 3 Testing the Mechanism
- Contribution to aggregate savings rates for each
income quintiles (Table 4 from Maki and Palumbo,
2001)
45Comment 3 Testing the Mechanism
- What would your model predict about the savings
rates for borrowers and savers during this time
period? - Would they match the aggregate data?
- My guess is no what does that imply? Should we
think about the foreign sector being the
savers? Does your model match foreign inflows
into the U.S.? - Why are rich U.S. households decreasing their
savings rate so much? - Question Could your model predict an increase in
returns that would generate the rich decreasing
their savings and increasing their wealth (at the
same time that the poor increased their savings
and increased their wealth?)
46Conclusions
- The expansion of debt (both collateralized and
non-collateralized) should be an important area
of research for macroeconomists. - I applaud the authors for working on this topic!
- For their research agenda (in both this paper and
the previous paper) which employs calibrated GE
models it is important to model the shock to
lending correctly. - To gauge welfare gains from expansion to credit,
it would be good to include more realistic
demands for borrowing (e.g., life cycle model
with idiosyncratic labor income risk). - I would put their mechanism to the test and see
how it does at matching the trends in saving
rates for borrowers and savers (as well as
the aggregate).