Title: Business, Government, and the World Economy
1Business, Government, and the World Economy
2Aggregate Demand
- The amount that consumers, business and
Government wants to purchase. - Consumption
- Investment
- Government
- IS/LM Model joint determination of output and
interest rates
3Consumption
- Average or expected income of consumers
- Cost and availability of credit
- The decisions to save vs. spend
4Determinants of Consumption
- Disposable Income
- Expected average Disposable Income
- Changes in Tax Rates
- Cost and Availability of Credit
- Demographic factors
- Expected Rate of Return on Investment Assets
- Changes in spendable income from asset price
fluctuations (not part of DI) - Consumer Attitudes
5Empirical Evidence
- Consumption /Income is constant in long run
- Short run changes in consumption is not as
closely correlated with income - Cons based on average or expected income
- Attitudes shift frequently
- Cost of credit changes quickly
- Consumption is smoother in short run than income
except during recessions
6Empirical Evidence
- Changes in realized capital gains are not
reflected in Disposable income, (similarly a
reduction in mortgage rates could increase
disposable income) - Declines in available credit can have a larger
influence on consumption than expected.
7Variability of Consumption Spending
- 1990 recession consumption spending declined
.2 over first 5 quarters - 2001recession consumption spending increased by
more than 3 (income growth, consumer sentiment
both declined)
8Quarterly Variability
- Changes in disposable income explains less than
25 of changes in consumer spending - Changes in money variables such as yield spread,
money supply, stock prices, consumer credit also
only 25 - The remainder of the fulctutaion is expalind by
exogenous and random factors political shocks
ec.
9Long-term Variability
- About 75 of the one year change can be explained
by disposable income, costs, availability of
credit and asset prices - For a 3 year change over 90 of the of the change
can be explained by changes in disposable income
etc. - Managers need to be careful to not over respond
to short term shifts.
10Testing
- The variability on the past slides was quoted in
the book lets test it using regression analysis
(for a review) and data from the bea.
11Regression Review
- Equation of a line Y a bX
- Graphing combinations of X and Y form a line.
- X is the independent variable and placed on the
horizontal axis. Y the dependent variable and
placed on the vertical axis (The value of Y
depends upon X) - a is the Y intercept and b the slope of the line.
12Observations of X and Y variables
Y
X
13Regression Estimates the line that best explains
the relationship between the variables
14The Line is the one that minimizes the sum of
the squared residuals
15Estimating the Regression
- The slope of the line is then equal to
- The Intercept is
16Confidence in the ResultsR-Squared (R2)
- R2 will range up to one. It is the portion of
the relationship explained by the regression - R-Squared (R2) correlationYX2b2sx2/sY2
- Examples
- An R2 of one implies all the points are on the
line - An R2 of 0.5 would mean that half of the
relationship is explained by the line.
17Confidence in the ResultsT-statistic
- The t-statistic tells us whether or not we can
reject the hypothesis that the variable is equal
to zero. - The higher the t-statistic the higher the
confidence that we can reject the hypothesis that
the slope is zero. - If you cannot reject the hypothesis -- It implies
that the dependent variable has no impact on the
independent variable.
18T-Statistic
- A Rule of Thumb
- The confidence levels are based upon the number
of observations, but in general - If you have a t-statistic above 2.0 you can
reject the null hypothesis at the 95 level. - (With 120 observations a t-statistic of 2.36
allows rejection at the 99 level)
19Standard Error
- Provides a measure of spread around each
variable. - Provides a confidence band similar to standard
deviation) - We can use standard error to estimate the T-
Statistic (Assuming a normal distribution) - T-StatinterceptA/SEA T-Statslope B/SEB
20Quick Review
- Linear Regression - Provides line the best
describes the relationship between two variables - R2 - Portion of relationship explained by the
estimated line - T-Statistic - Confidence in the estimate of the
variable (Is is statistically significant?) - Standard Error - Confidence Interval
21Quarter to Quarter Results
22Yearly Changes
23The Consumption Function
- Basic idea is trying to determine the
relationship between consumption and the key
inputs. - Start with a simple model
- Assume that consumption is determined by
- Disposable income (DI)
- Marginal propensity to consume (MPC)
- C a (mpc)(DI)
24Impact of consumption
- We said before that output in the economy equals
income. - C G I NX
- Assume no trade so output C G I NX
25Planned Expenditure
- Substituting the consumption function into the
equation for C produces - a (mpc)Y G I
- Let this equal the amount of planned spending in
the economy. - mpc will generally be less than 1
26Keynesian Cross
- Graph Planned expenditure on vertical axis and
output (or income) on the horizontal. - Let Y be the equilibrium level of spending where
planned spending equals output (income) - When output is less than Y
- Planned Spending gt Output (income)
- Inventories decline production increases
- When output is greater than y
- Planned Spending lt Output (Income)
- inventories increase, production decreases.
27Old interpretation
- Given that the data supports that low income
workers are dissaving and high income workers are
saving - Can it be said that
- The personal saving rate increases as income
increases? (Keynes) - Total GDP can be increased by transferring wealth
- Increases in income is accompanied by increases
in saving that is not fully invested need to
increase G relative to everything else
28Assuming old Interpretation is correct
- The following outcomes which are not supported by
data would occur if the old interpretation is
correct - Consumption would not rise as fast as income and
savings would increase over time (as real income
as increased) - Consumption would be a function of only income
not financial variables such as interest rates
and credit - The saving rate would decline in recession
- Saving rates would be higher for richer
individuals
29PIH
- Consumption is based on expected or permanent
income, not just current income.
30Permanent Income Hypothesis
- Those at the high end of the income scale have
income above their long term expected income
(permanent income) therefore they are saving
(not because they have high permanent income) - Those at the low end of the income scale have
income below their long term expected income
(permanent Income) therefore they borrow (not
because they have low permanent income).
31PIH (two periods)
- You can save a portion of your income. Let labor
income Y then there is savings available in
year 2 equal to - (1r)(Y1-C1)
- The total amount available to spend in year 2 is
then - C2 Y2 (1r)(Y1-C1)
32C2 Y2 (1r)(Y1-C1)
- Rearrange
- C2 (1r)(C1) Y2 (1r)(Y1)
- Divide by 1r
- C1 C2/(1r) Y1Y2/(1r)
- The PV of consumption must equal the PV of
income -- in other words the key constraint on
consumption is your lifetime income.
33Intertemporal Budget Constraint
- Graph period 2 consumption on vertical axis (max
value Y1(1r) Y2) - Graph period 1 consumption on horizontal axis
(Max value Y1Y2/(1r)) - Combine budget constraint with indifference
curves (combinations of consumption with same
utility)
34An Increase in Income
- Assume that future income (Y2) increases by
50,000. - Assume that current income increases by 50,000
- In either case consumption increases in both
periods - Basic Perm Income model sets consumption equal in
both periods.
35PIH and mpc
- You still have the choice between saving and
consuming the marginal propensity to consume
still plays a key role. - In both the Keynesian model and the intertemporal
model an increase in permenant income will cause
a large increase in current consumption
36Precautionary Saving
- In reality future income is uncertain. The
choice to save or consume is then in part based
on precautionary saving (insurance against future
uncertainty) - This impacts the marginal propensity to consume.
37Credit
- Given the intertemporal nature of the consumption
decision, the amount of credit available and the
cost of credit play key role in the decision to
save or consume.
38Current Consumption Theory
- Life Cycle Model of Saving and Consumption)
- People will attempt to borrow and save to keep
the purchase of goods and services more stable
than income. - Everyone will act rationally to maximize their
own self interest by - Interpreting and Weighing Information
- Appropriately Balancing Evaluating Choices
- Making Informed Decisions
39Life Cycle Model
Entrance to Workforce
Retirement
Age
40Implications of Life Cycle ModelSaving Decisions
- Individuals understand the need to save for
retirement and can estimate the amount they need
to save. - In other words consumers
- Understand the impact time has on the value of
their money. - Make informed decisions about their investment
choices and actively respond to changes in the
economic environment. - Act in a manner that maximizes their investment
income. - Can accurately plan for a retirement age.
41Life Cycle Implications
- Individuals attempt to smooth consumption
- If income drops due to short term layoff the
expectation is that consumption would not
decrease as much as income. - If income drop is viewed as permanent
consumption may drop by the same amount as income.
42Extension
- Individuals at the high end of income scale -
should have current income higher than their long
term expected income - they should save - Individuals at the low end of the income scale
should have current income less than their long
term expected income they should dissave
(borrow)
43Some real world dataIs PIH correct?
- Only 42 of workers have calculated how much they
need for retirement. (EBRI 2006). - 30 of US workers have not saved anything for
retirement (EBRI 2006). - Consumption patterns indicates that US workers
experience an unexpected drop in standard of
living after retirement. (Bernheim et. al 2001)