The Demand Side: Consumption & Saving. Created By: Reem M. Al-Hajji Agenda. • Intro. • The “Keynesian” Consumption Function. • Permanent Income/Life Cycle Theory. • Modification to the Life Cycle Theory. • Saving Ration Explanation. • Conclusion. • Application on Kuwait. Introduction Why “Consumption” is important? • It is the largest category of spending. • Its marginal propensity to consume is one of the determinant of the multiplier. • It is more stable than “The Saving Ratio”. The “Keynesian” Consumption Function A simple “Keynesian” Consumption Function: C = A + β*Y C : The actual consumption. A : The autonomous consumption. Β : The marginal propensity to consume. Y : The current level of income NOT the disposable income. Does this type of equation is acceptable for consumption description? Using statistical tests How well does the equation in predicting consumption Why should we consider another model? 1. This model did fit the data set as shown in (fig.2.4) but it did fail to explain the fluctuations in that period. 2. This model assuming that any change in consumption or in saving ratio is explain by changes in income ONLY. 3. So, to explain the behavior of saving ratio we need to consider other factors. Adjusting The “Keynesian” Consumption Function How to adjust the simple “Keynesian” consumption function? C AY c = α + β*y c : Log Actual Consumption. α : Log Autonomous Consumption. β : Log Marginal Propensity to Consume and here it reflects the elasticity of C to Y. y : Log Actual Income. Permanent Income / Life Cycle Theory What is the life cycle theory? Consumers base their consumption on the expected lifetime income, saving and dis-saving so as to smooth out short-term fluctuation in income. What is permanent income? Permanent income is the constant income stream which has the same present value as an individual’s expect lifetime income. What is the permanent income consumption function? C kY c y p p C : The actual consumption. c : Log actual consumption. k : The average propensity to consume (k<1) p : The permanent income. α : Log k (Log average propensity to consume (Log k<0) Y Β : =1 p : Log permanent income. y How to measure permanent income? 1. Permanent Income as Lagged Income: • • Taking weighted average of past incomes. Temporary fluctuations in income will be random and they will cancel each other over periods. ct y p t • If assuming that permanent income is the weighted average of all past incomes: ct k (1 ) yt ct 1 • Where 0<λ<1. • k(1- λ) is the elasticity of consumption to income. • Then modeling a consumption function with lagged income could include lagged consumption also. • Note that both equations give different short and long run consumption function. 2. Permanent Income as determined by Rational Expectation: • • Consumers predict income as accurately as possible given the information available. Information could be divided into 2 parts: 1. Information that already known at time (t-1). 2. New information that has become available since time (t-1). ct ct 1 t • Where t is “white noise” : random variable with zero mean and uncorrelated info. With time t-1. • There is no constant term. • If β = 1 then the probability of consumption to rise or fall is equal. • In reality, β>1 because that the probability of consumption is being undertaken not by a constant population but by a population which income per capita is rising over time. • Note that the importance of interpreting the error term is that if it happened to have a correlation with previous information (C, Y, or itself at time t-1) this theory cannot be correct. • Since t t 1 t , then the test is not correct. Modifications to The Life Cycle Theory What are the modifications to the Life Cycle Theory? • Inflation: – It affects both C and S. – It reduces the real value of any debts denominated in money. – As debt value decreases, debtors (government and corporate sector) gain and creditors (personal sector) lose. – The reduction in real income is referred to as inflation tax (a tax on holding money). – inflation should be taken into account in calculating consumption function since it is not calculated in the calculation of personal disposable income. ct k (1 ) yt ct 1 t Where is the elasticity of consumption to inflation. • Error Correction Mechanism: – The standard consumer theory suggest that in the long run permanent income is proportional to actual income and hence consumption should be proportional to income. – In the short run, consumption is not proportional to income strictly. – Error correction Mechanism is built from: • • In the long run, there is a target consumption level that is proportional to income. In the short run, consumption will not equal the desired proportional of income (mistakes and shocks always take place). ct yt st 1 t Where s is the saving ratio. • House Prices and Uncertainty: – Credit liberalization made it easier for consumers to borrow money. – Savings increase as uncertainty increases. – Including income, saving ratio, inflation, real house prices, and uncertainty will give us the following consumption function that fits most the changes in consumption: ct yt st 1 t RHP Explaining The Saving Ratio How to calculate the “Saving Ratio”? • Using the last form of the consumption function, we end up with that: – The contribution of inflation to consumption in any one year is defined as ( ( ) ), where ( ) is the mean value of inflation. – Subtracting it from c we get what is the consumption when inflation if equal to its mean and then we can calculate what is the saving ratio when inflation is at its mean. – Similarly we can obtain the saving ratio following the same procedure with all other factors (real house pricing and uncertainty). – Note that our consumption function is unlikely to provide a complete account of factors that affect both consumption and saving ratio. Conclusion To conclude: • The simple Keynesian consumption function: C = A + β*Y • The logarithmic form of the Keynesian Consumption Function: c = α + β*y • Permanent Income/Life Cycle Theory: C kY p • Logarithmic Form of Permanent Income: c y p • Permanent Income with Lagged Income: ct k (1 ) yt ct 1 • Permanent Income with Rational Expectation: ct ct 1 t • Modification to the Life Cycle Theory: – Inflation: ct k (1 ) yt ct 1 t – Error Correction Mechanism: ct yt st 1 t – House Prices and Uncertainty: ct yt st 1 t RHP • Although the results showed some consumption functions that were used in serious applied macroeconomics, it remains oversimplified in a number of respects: The lag structure still relatively simple. The equation were stated for total consumption while separated equations are normally be estimated for durable and non-durable consumption. There are more factors that should be included (e.g. demographic changes and income distribution changes). Application on Kuwait Kuwait GDP and House Consumption, 1970-2007: 35000 25000 20000 15000 10000 5000 20 06 20 03 20 00 19 97 19 94 19 91 19 88 19 85 19 82 19 79 19 76 19 73 0 19 70 KD million 30000 Years Fig. 1. Income and Consumption, 1970-2007 Consumption Income The Simple Keynesian Consumption Function C = 799.02 + 0.3 Y Where A (autonomous consumption) = 799.02, and the β (marginal propensity to consume) = 0.3. 12000 10000 8000 6000 4000 2000 Fig. 2. Prediction from Simple Keynesian Consumption Function Actual C C=799.02+0.3Y 20 06 20 03 20 00 19 97 19 94 19 91 19 88 19 85 19 82 19 79 19 76 19 73 19 70 0 The Logarithmic Form c = -0.6 + 1.05 y Where α (log A) = -0.6, and the β (the elasticity of consumption with respect to income) = 1.05. 19 70 19 72 19 74 19 76 19 78 19 80 19 82 19 84 19 86 19 88 19 90 19 92 19 94 19 96 19 98 20 00 20 02 20 04 20 06 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Fig. 3. Prediction from Logarithmic consumption Function Actual Log C c = -0.6 + 1.05 y Permanent Income As Lagged Income Ct = 564.95 + 0.37 Ypt Where α (autonomous consumption) = 564.95, and β (marginal propensity to consume) = 0.37. 14000 12000 10000 8000 6000 4000 Fig. 4. Prediction of Permanent Income with Lagged Income Actual C Ct = 564.95 + 0.37 Ypt 2006 2004 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 0 1970 2000 The logarithmic form of Permanent Income As Lagged Income ct = -0.66 + 1.08 ypt Where α (log A) = -0.66, and the β (the elasticity of consumption with respect to income) = 1.08. 19 70 19 72 19 74 19 76 19 78 19 80 19 82 19 84 19 86 19 88 19 90 19 92 19 94 19 96 19 98 20 00 20 02 20 04 20 06 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Fig. 5. Prediction of Logarithmic Con. Function wiht Lagged Income. Actual Log C ct = -0.66 + 1.08 ypt Permanent Income As Lagged Income: with all past income Ct = 38.5 + 0.105 Ypt + 0.8 Ct-1 Where the α (autonomous consumption) = 38.5, β (marginal propensity to consume) = 0.105, and λ (how much does the previous consumption affect the current one) = 0.8. 12000 10000 8000 6000 4000 Fig. 6. Prediction of Con. Fun. with Lageed Income and Lagged Consumption Actual C Ct = 38.5 + 0.105 Ypt + 0.8 Ct-1 2006 2004 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 0 1970 2000 Logarithmic Form of Permanent Income As Lagged Income: with all past income ct = -0.15 + 0.33 ypt + 0.68 ct-1 Where α (log A) = -0.15, β (elasticity of consumption to lagged income) = 0.33, and λ (elasticity of current consumption to the previous (lagged) consumption) = 0.68. 19 70 19 72 19 74 19 76 19 78 19 80 19 82 19 84 19 86 19 88 19 90 19 92 19 94 19 96 19 98 20 00 20 02 20 04 20 06 4.5 4 3.5 3 2.5 2 1.5 1 0.5 0 Fig. 7. Prediction of Logarithmic Con. Fun. with Lagged Income and Lagged Consumption Actual Log C ct = -0.15 + 0.33 ypt + 0.68 ct-1 Permanent Income as determined by Rational Expectation Ct = 1.08 Ct-1 + εt Where β > 1 because that every generation is becoming wealthier than the previous one. 12000 10000 8000 6000 4000 Fig. 8. Prediction of Rational Expectation Consumption Function Actual C Ct = 1.08 Ct-1 + εt 2006 2004 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 0 1970 2000 Logarithmic Form of Permanent Income as determined by Rational Expectation ct = 1.01 ct-1 + εt Where β (elasticity of current consumption to the lagged consumption) = 1.01 getting close to 1 is called the random walk and εt is the white noise ( a random variable with zero mean and uncorrelated information with time t-1. 4.5 4 3.5 3 2.5 2 1.5 1 0.5 19 70 19 72 19 74 19 76 19 78 19 80 19 82 19 84 19 86 19 88 19 90 19 92 19 94 19 96 19 98 20 00 20 02 20 04 20 06 0 Fig. 9. Prediction of Rational Expectation using the Logarithmic Form Actual Log C ct = 1.01 ct-1 + εt