¶ … aggregate expenditure model to explain the impact of the housing boom on investment and consumption spending.
In order to determine the relation between the housing boom and the rise of prices, which are probably caused by greater demand in the housing sector, all factors which may produce shifts in the production function must be analyzed. The model proposed by Keynes suggests that each monetary unit spent on something must be somebody's income. Therefore, the housing boom, which creates new jobs, not only in the construction industry, but also in related areas, such as the production of wood or steel, is bound to produce a corresponding rise in consumption demand, as a result of increased spending. A similar effect is incurred upon investment demand.
Consumption demand goes up and down with peoples' income. The relation is simple to grasp: the more money people have, the more they'll be spending. Should income increase, consumer demand shall also increase, although proportionately not as much as the income since there will also be an increase in savings and taxes. Should the income fall, consumption demand shall also be reduced, although by less than the income. Saving and payment of taxes shall also be reduced. This is what Keynes referred to as the "psychological law" of behavior. "Any increases in income would result in an increase in consumption, but the increase in consumption would be in less than a one-to-one relationship. In other words, if income increases by a dollar, consumption would increase by a fraction of a dollar. This fraction is called the marginal propensity to consume. "
The Marginal Propensity to Consume (MPC) is that particular fraction of the monetary unit that is spent on consumption, which also leaves something to be saved. MPC is calculated as dC/dDI A similar formula applies to the Marginal Propensity to Save: dS/dDI. The two propensities must always add up to 1, because of the DI = C + S identity. Consumption = a+ bY, where b = MPC, Y = Income and a = consumption spending when income is null. The curve of consumption shifts up and down, as the value of MPC changes. Should the MPC rise, the slope of the consumption function moves up and vice-versa.
There are also other factors, beside changes in the MPC, which can trigger modifications in the consumption function, such as age, demographic composition and others. Since houses are usually bought by young people, it may be possible that the housing boom generate increased spending for a certain age category (i.e., relatively young people, who earn enough to afford a house). Also, companies in need of offices may decide to invest in new headquarters.
Other things may also shift the consumption function, aside from age and demographic composition of the population:
Net wealth -- Although explanations about the net wealth effect are notably different between economists, who pretend, on one hand, that there isn't actually any such effect, and on the other that a lag between a market decline or raise and the impact on consumption exists, although the importance of this lag is not very clear. Some economists make a connection between consumption levels and the stock-market level. They state that "the real wealth effect is actually the sum of the stock-market level, consumer confidence, perceptions of income stability and gains in housing values. In other words, it isn't how consumers' balance sheets look that it is important, it is how consumers feel. "
In our case, there is a slight gap between the moment houses are being built and the moment money begin to be spent by consumers. This period is necessary in order for people to build some wealth and to get comfortable spending it.
2. Changes in expectations - The housing boom may indicate an economic boom, therefore increasing consumer confidence.
Also, changes in real rates of interest, changes in the price level and the rate of formation of new households, may have an effect on consumption demand.
Investment demand is pushed forward by expectations of future profits. The whole point behind investment demand is that changes in expectations regarding profit make the entire investment demand curve go to the left or right, depending on whether profit expectation went down or up. Since house prices in Australia are on the rise, investors' income should go up and a growth of investment demand may be expected. Therefore, Aggregate expenditure should grow even more.
2. Use the multiplier analysis to explain the increase in GDP consequent upon the rise in spending outlined in (1) above.
YNominal = C + I + G + NX
The variables on the right represent the four expenditure categories which add...
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