Showing posts with label Macroeconomics. Show all posts
Showing posts with label Macroeconomics. Show all posts

Sunday, December 12, 2010

First Draft of August 30 Principles of Economics Lecture: Introduction to Macroeconomics

Economics - Macroeconomics - DEMAND AND SUPPLY ANALYSIS

TOTAL DEMAND AND SUPPLY ANALYSIS
The Keynesian IS-LM model developed earlier is a model of only demand behavior. It tells us how the equilibrium between planned aggregate demand and output is achieved. It describes demand behavior but says absolutely nothing about supply behavior. Total supply and demand analysis breaks that implicit assumption and introduces the possibility of supply constraints or economic issues that can affect supply behavior.

The total demand curve shows how the Keynesian equilibrium changes for different values of the price level. The total demand curve shows how changes in the price level affect the IS-LM or demand side equilibrium.

Total Demand Curve

The price level determines the real value, or purchasing power, of the nominal money supply, thus positioning the LM curve and determining the aggregate demand equilibrium. The total demand curve is a locus of Keynesian aggregate demand equilibrium for different price levels. If the price level changes while everything else (including the nominal money supply, M) remains the same, then the resulting change in the real money supply ( ) causes the IS-LM equilibrium to change

Total Supply Curve

It describes the amount of output that producers are willing and able to supply to the goods market.
  • Keynesian Supply Curve: The total supply curve implicit in the Keynesian IS-LM model is based on the notion that there are no supply constraints and that prices are pre-determined in the short-run (one year or less). Thus, whatever output level is demanded will be produced and the total supply curve is a horizontal line.There is sufficient excess capacity so that an increase in demand leads to more production without increasing production costs and prices.


  • Long-run or Classical Supply Curve: At the opposite extreme to the Keynesian short-run horizontal supply curve lies the supply curve implicit in the long-run equilibrium or classical view of the Macroeconomic world. The classical view implies a vertical supply curve,

    The classical vertical total supply curve and the Keynesian horizontal total supply curve represent two theoretical extremes, neither of which is a satisfactory representation of behavior in the real world. The traditional Keynesian approach leaves us without a theory of price determination. The classical approach introduces a theory of price determination, but at the cost of eliminating an explanation of fluctuations in real output. By assuming that competitive markets at all times generate equilibrium levels of output, the model cavalierly does away with fluctuations in output.

  • Some More Reasons Why Prices are Sticky:
    • Labor Contracts: Implicit labor contracts are a term that refers to the type of agreements that are often made between employers and employees.
    • Career Labor Markets: The idea here is that employers adopt policies that promote the long-run attachment of workers to the firm. This is important to employers because finding able workers and providing training can be expensive. In addition, employees find it in their interest to agree to such arrangements.
    • A Demand Shock: In the short run. The monetary policy expansion leads to a fall in interest rates which gets the multiplier process under way and output increases.

      Over time, the multiplier process that leads to an increase in output also leads to increases in prices. Quantity adjustments become less common and price adjustments become more common. Nevertheless, additional output is forthcoming, and after a period of several years, there are both output and price increases.


  • Expansionary monetary policy: A major theoretical point of our discussion is the tendency to return to a long-run equilibrium—the normal, natural, or long-run equilibrium level of output termed Y*. It is an output level associated with balance in the macroeconomics; in particular, there is an absence of inflationary or deflationary pressures at this output level. It is very important to add that this output need not be one where all resources are fully employed. The long-run equilibrium is “natural” because the economy tends to move toward it. The term does not convey a value judgment that this equilibrium is desirable or good. There may be more unemployment at Y* than a democratic society would like to endure.

INFLATION

Since the inflation rate is probably the most closely followed macroeconomic phenomenon, it will be helpful to have a theoretical framework that concentrates on the determination of the inflation rate directly. Our inflation equation will also help us understand one of the most unusual characteristics of inflation—its persistence. That is, we will discuss the momentum to inflation.
  • Price Adjustment Function:

    where π = is the inflation rate.
    An important implication of this specification of equation is that
    when Y =Y* , there are not inflationary pressures.

  • Phillips Curve:
    The term Phillips curve refers to the empirical relationship between wage or price inflation and the unemployment rate. Since Phillips’ early econometric studies in the 1950s, the relationship has been extended and developed into an important analytic tool for understanding the inflation process.

    An expansionary policy could reduce the unemployment rate at the cost of only a small increase in the inflation rate.

Expectations of Inflation

The influence of market supply and demand on the inflation rate that emerges will depend as well on the expected inflation rate. A given degree of slack will result in a higher or lower overall inflation rate depending on how much inflation the price-setting agents expect to occur.

Augmented Price Adjustment

The effect of an increase in expectations of inflation on the actual rate of inflation can be seen by envisioning a particular price or wage negotiation. The parties in a particular negotiating session will be influenced by supply and demand conditions in the market and also by their expectations of aggregate inflation. The price or wage agreement that emerges from the negotiations will be higher if both parties expect more inflation to take place in the overall economy.

Expectations-augmented price adjustment equation

Where the expected rate of inflation and the coefficient b is measures the impact of expectations on the inflation rate.

Rational Expectations

Formation of expectations have indicated that expectations adjust slowly when inflation changes. This has often turned out to be an accurate description of reality, but it is not necessarily true. Starting in the early 1970s an alternative hypothesis about the formation of expectations had a very profound effect on economic thinking. The rational expectations hypothesis states that expectations are knowledgeable and informed predictions of the actual outcome. That is, expectations are formed by individuals with an understanding of the workings of the economy and with available information on all relevant phenomena. Expectations of inflation are thus based on all available information that relates to price determination and with an understanding of how prices are in fact determined. With rational expectations, the expected inflation rate can be expressed as the actual inflation rate (π) plus a random error term:

New Classical Macroeconomics

The natural rate Phillips curve model implies that the unemployment rate differs from the natural rate hen inflation is unanticipated. With rational expectations, unanticipated inflation is always a random or unpredictable phenomenon. Therefore, all deviations, including short-run deviations, of the unemployment rate from the natural rate are random events.

Sources of Inflation

The distinction among the different sources of inflation is somewhat artificial because they can all be present and are often related to one another. However , different inflationary episodes can be often be ascribed to a particular dominant causal factor.
  • Monetary Growth
  • Excess Demand
  • Relative Price Shocks
  • Wage Price Spiral
  • Inflation Expectations

The Simple Macroeconomics of Health Reform

Posted by Nolan Miller on Mar 5, 2010

Filed Under (Uncategorized)

circular-flow-diagram

As part of my teaching duties, I include a couple of lectures on macroeconomics in my financial economics course. Now, many of the choices I’ve made in my life can be traced back to a desire to avoid studying macroeconomics. But, my brief foray into the area this fall taught me an important lesson that is applicable to many areas, including the quest to reduce the cost of health care.

One of the first diagrams presented to macro students is the so-called “circular flow diagram” that depicts how money and goods and services flows up and back between households and firms. On the output side, firms send goods and services to households and households send money back to the firms in exchange. If this were all there were, firms would quickly end up with all the money, and the economy would grind to a halt. However, there is also another side to the diagram. In order to produce goods and services, firms need inputs like capital and labor, and these are supplied by households. So, households supply capital and labor to firms, and in exchange firms send money back to households in the form of wages, interest, dividends, profits, etc. This last is a critical and often overlooked point. Firms don’t enjoy profits – their owners do. So, if you think that health insurers are earning excessive profits, what you’re really saying is that the returns to people who own health insurance stocks are too high. Anyway, the point of the circular flow diagram is that, in equilibrium, these flows are all the same. In particular, the total expenditure on goods and services must equal the total income to households.

There’s the rub. Applied to the context of health care, the circular flow diagram says that total expenditure on health care – including payments to insurers, doctors and hospitals, etc. – must equal total income from health care related activities – including total wages paid to health care workers, profits to health care firms, etc. Thus, if you are concerned about reducing the rate of expenditure on health care, this is the same as saying that you are concerned with reducing the rate of income from health care. In other words, reducing either wages of health care workers or profit to health care companies. And, while many people would like nothing better than to stick it to the big corporations, the ones who really bear the brunt are the owners of these corporations. And, the populist call for windfall profit taxes on health insurers sound quite different when you realize that it is simultaneously a call for a tax people’s 401k returns!

So, the lesson from Macroeconomics 101 for health reform (or any other reform for that matter) is that expenditure is just another way of expressing income. So, reducing expenditure necessarily means reducing somebody’s income. Seen in that light, it is not so surprising how difficult it has been, and will be, to reduce the rate of expenditure growth in health care.

Macroeconomics / International Economy

Government Macroeconomic Policy

A central issue in macroeconomics is whether or not markets, left alone, automatically bring about long run economic equilibrium. If the free operation of market forces eventually resulted in a full employment level of national income with stable prices and economic growth, there would be no need for government intervention in the macro economy - no need for fiscal monetary exchange rate and supply side policies. The reality is that all governments intervene through their macroeconomic policies in a bid to achieve certain policy objectives and improve the performance of the economy.

Targets, instruments and goals of macroeconomic policy

Targets, instruments and goals of macroeconomic policy

Policy goals are the ultimate aims, challenges and objectives of macroeconomic policy. The main policy goals of the current government are listed below:
  • Sustained economic growth
  • High employment
  • Stable prices (low inflation)
  • A rise in average living standards
  • Sustainable position on the balance of payments

steady growth, low inflation and unemployment

Policy Instruments

Policy instruments are the main options available to a government for managing the economy. There are broadly speaking three main policy groups:

Fiscal Policy

Fiscal policy involves changes in the composition and level of government spending, taxation and borrowing to influence both the pattern of economic activity and also the level and growth of aggregate demand, output and employment.

Monetary Policy

Monetary policy involves the use of changes in interest rates to control the level and rate of growth of aggregate demand in the economy mainly by changing the cost of borrowing money, influencing the rate of return on savings and thereby changing the overall demand for and supply of money
Monetary policy also involves the effects of changes in the exchange rate – the external value of one currency against another – on the wider economy. The government (through the central bank) may choose to intervene in the foreign exchange market to influence the value of one currency against another

Supply-side Policies

Supply-side economic policies are mainly micro-economic policies designed to improve the supply-side potential of an economy, make markets and industries operate more efficiently and thereby contribute to a faster rate of growth of real national output.

Macroeconomics and ARCH

That's the topic of my most recent research paper. Reader warning: this is a bit more technical than the standard Econbrowser post, so if you're not a user of regression analysis, this may not be up your alley.

One of the contributions for which my colleague Rob Engle received the Nobel Memorial Prize in Economics was development of ARCH, a class of models for predicting the volatility of a variable. One's first priority might be to predict the level of the variable, such as asking what the price of oil will be next month. With ARCH models, we instead try to predict the absolute or squared value of the change-- are oil prices likely to change more this month than usual?

ARCH models have become popular in finance, where measuring the volatility is extremely important for purposes of characterizing the riskiness of portfolios. They have been less used by macroeconomists, who are usually interested in predicting how the levels of variables might change under different circumstances.

In my latest research paper, I argue that even if one's primary interest is in measuring consequences for the levels, it can be very important to use ARCH to model any changes in the volatility, for two reasons. First, correcting for outliers can give you much more accurate estimates of the parameters you're interested in. Second, if you make no corrections, there is a possibility of a kind of spurious regression. The expression spurious regression is known to economists as a common finding when you regress two variables that have nothing in common except a tendency to drift from their starting values; (Jesus Gonzalo has some amusing examples). The result is high t statistics that would lead you to reject the null hypothesis of no relation, even though the null hypothesis is surely true.

I found there's a possibility of something similar arising if you rely on the usual OLS test of a hypothesis about a lagged dependent variable in a regression that is characterized by ARCH. If the sample size is large enough, you are certain to reject the null hypothesis that the coefficient is zero, even if the null hypothesis is true. For example, the diagram below shows the asymptotic probability you will reject a true null hypothesis of zero serial correlation as a function of the parameters α and δ of a GARCH(1,1) process for the residuals. This would be a flat plane at height 0.05 if the t test were doing what you expected, rejecting only 5% of the time when the null hypothesis is true. In fact, for α and δ in the range often found for macroeconomic series, you'd end up wrongly rejecting 100% of the time with the standard t statistic.


arch_probs.gif

My paper also illustrates these issues with a couple of examples taken from the macroeconomics literature. The one I'll discuss here involves estimation of the Taylor Rule, which is a description of how the Federal Reserve changes its target for the fed funds rate in response to variables such as inflation and GDP. The conventional understanding by most macroeconomists is that since 1979, the Fed has responded more aggressively to deviations of inflation or GDP from their desired levels, and that this change in policy has helped to stabilize the economy.

The first row in the table below reproduces that finding and its apparent statistical significance using OLS estimates of the coefficients and their standard errors. However, there is strong evidence of ARCH dynamics in the residuals of this regression. When one takes those into account in the estimation, the change in the responsiveness to inflation is 1/3 the OLS estimate, while the changed responsiveness to output is less than 1/10 of the magnitude one would have inferred by OLS.


Post-1979 change in estimated coefficients (and standard errors) relating change in fed funds rate to change in inflation rate and deviation of output from potential as estimated by OLS and GARCH

inflation(std err)output(std err)
OLS0.26 (0.09) 0.64 (0.14)
GARCH0.09 (0.04) 0.05 (0.07)

The diagram below displays the features of the data that are responsible for this result. The top panel is the monthly change in the fed funds rate, in which the ARCH features are quite apparent, with increased volatility particularly over the 1979-82 period. The bottom panel is the scatter diagram relating the change in the fed funds rate (vertical axis) to the output gap (horizontal axis) over the 1979-2007 subperiod. The apparent positive slope is strongly influenced by those observations for which the variability of interest rates is highest. Because GARCH downweights these observations for purposes of estimating the slope, the post-1979 response of the Federal Reserve to the output gap is significantly smaller than that estimated by OLS.


arch_scatter.gif

The recommendation that the paper offers for macroeconomic researchers is quite simple. It is extremely straightforward to test for the presence of ARCH effects-- just look at the R2 of a regression of the squared residuals on their own lagged values. Macroeconomists might want to glance at this diagnostic statistic even if their primary interest is not the volatility but some other feature of the data.

Macroeconomics : Investment

In economics, investment is the production per unit time of goods which are not consumed but are to be used for future production. Examples include tangibles (such as building a railroad or factory) and intangibles (such as a year of schooling or on-the-job training). In measures of national income and output, gross investment I is also a component of Gross domestic product (GDP), given in the formula GDP = C + I + G + NX. Investment is often modeled as a function of income and interest rates, given by the relation I = f(Y, r). An increase in income encourages higher investment, whereas a higher interest rate may discourage investment as it becomes more costly to borrow money.
Business Cycle :

The business cycle or economic cycle refers to the fluctuations of economic activity about its long term growth trend. The cycle involves shifts over time between periods of relatively rapid growth of output (recovery and prosperity), and periods of relative stagnation or decline (contraction or recession). These fluctuations are often measured using the real GDP. Despite being named cycles, these fluctuations in economic growth and decline do not follow a purely mechanical or predictable periodic pattern.

Gross Domestic Product:

The GDP of a country is defined as the market value of all final goods and services produced within a country in a given period of time. It is also considered the sum of value added at every stage of production of all final goods and services produced within a country in a given period of time. The most common approach to measuring and understanding GDP is the expenditure method:
GDP = consumption + Investment + (government spending) + (exports − imports)

Consumption and investment in this equation are the expenditure on final goods and services. The exports minus imports part of the equation is then adjusted by subtracting the part of this expenditure not produced domestically (the imports), and adding back in domestic area (the exports).

  • GDP per capita is often used as an indicator of standard of living in an economy.
  • GDP is widely used by economists to follow how the economy is moving, as its variations are relatively quickly identified.