Before examining the components of the dynamic *AD–AS* model, we need to introduce one piece of notation: Throughout this chapter, the subscript *t* on a variable represents time. For example, *Y* is used to represent total output and national income, as it has been throughout this book. But now it takes the form *Y _{t}*, which represents national income in time period

Let’s now look at the five equations that make up the dynamic *AD–AS* model.

The demand for goods and services is given by the equation

where *Y _{t}* is the total output of goods and services,
is the economy’s natural level of output,

The key feature of this equation is the negative relationship between the real interest rate *r _{t}* and the demand for goods and services

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The first term on the right-hand side of the equation,
, implies that the demand for goods and services rises with the economy’s natural level of output. In most cases, we can simplify matters by taking this variable to be constant; that is,
will be assumed to be the same for every time period *t.* We will, however, examine how this model can incorporate long-run growth, represented by exogenous increases in
over time. A key piece of that analysis is apparent in this demand equation: as long-run growth makes the economy richer, the demand for goods and services grows proportionately.

The last term in the demand equation, ϵ* _{t}*, represents exogenous shifts in demand. Think of ϵ

The variable ϵ* _{t}* also captures changes in fiscal policy that affect the demand for goods and services. A temporary increase in government spending or a tax cut that stimulates consumer spending means a positive value of ϵ

Finally, consider the parameter *ρ*. From a mathematical perspective, *ρ* is just a constant, but it has a useful economic interpretation. It is the real interest rate at which, in the absence of any shock (ϵ* _{t}* = 0), the demand for goods and services equals the natural level of output. We can call

The real interest rate in this model is defined as it has been in earlier chapters. The real interest rate *r _{t }*is the nominal interest rate

*r _{t}* =

This Fisher equation is similar to the one we first saw in Chapter 4. Here, *E _{t}π_{t}*

A word on the notation and timing convention should clarify the meaning of these variables. The variables *r _{t}* and

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Note that the subscript on a variable tells us when the variable is determined. The nominal and *ex ante* real interest rates between *t* and *t* + 1 are known at time *t,* so they are written as *i _{t}* and

This subscript rule also applies when the expectations operator *E* precedes a variable, but here you have to be especially careful. As in previous chapters, the operator *E* in front of a variable denotes the expectation of that variable prior to its realization. The subscript on the expectations operator tells us when that expectation is formed. So *E _{t}π_{t}*

Inflation in this economy is determined by a conventional Phillips curve augmented to include roles for expected inflation and exogenous supply shocks. The equation for inflation is

This piece of the model is similar to the Phillips curve and short-run aggregate supply equation introduced in Chapter 13. According to this equation, inflation *π _{t}* depends on previously expected inflation

Inflation depends on expected inflation because some firms set prices in advance. When these firms expect high inflation, they anticipate that their costs will be rising quickly and that their competitors will be implementing substantial price hikes. The expectation of high inflation thereby induces these firms to announce significant price increases for their own products. These price increases in turn cause high actual inflation in the overall economy. Conversely, when firms expect low inflation, they forecast that costs and competitors’ prices will rise only modestly. In this case, they keep their own price increases down, leading to low actual inflation.

The parameter *ϕ,* which is greater than zero, tells us how much inflation responds when output fluctuates around its natural level. Other things equal, when the economy is booming and output rises above its natural level, firms experience increasing marginal costs, and so they raise prices. When the economy is in recession and output is below its natural level, marginal cost falls, and firms cut prices. The parameter *ϕ* reflects both how much marginal cost responds to the state of economic activity and how quickly firms adjust prices in response to changes in cost.

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In this model, the state of the business cycle is measured by the deviation of output from its natural level (*Y _{t}* –
). The Phillips curves in Chapter 13 sometimes emphasized the deviation of unemployment from its natural rate. This difference is not significant, however. Recall Okun’s law from Chapter 2: Short-run fluctuations in output and unemployment are strongly and negatively correlated. When output is above its natural level, unemployment is below its natural rate, and vice versa. As we continue to develop this model, keep in mind that unemployment fluctuates along with output, but in the opposite direction.

The supply shock *v _{t}* is a random variable that averages to zero but could, in any given period, be positive or negative. This variable captures all influences on inflation other than expectations of inflation (which is captured in the first term,

As we have seen, expected inflation plays a key role in both the Phillips curve equation for inflation and the Fisher equation relating nominal and real interest rates. To keep the dynamic *AD–AS* model simple, we assume that people form their expectations of inflation based on the inflation they have recently observed. That is, people expect prices to continue rising at the same rate they have been rising. This is sometimes called the assumption of *adaptive expectations.* It can be written as

*E _{t}π_{t}*

When forecasting in period *t* what inflation rate will prevail in period *t* + 1, people simply look at inflation in period *t* and extrapolate it forward.

The same assumption applies in every period. Thus, when inflation was observed in period *t* – 1, people expected that rate to continue. This implies that *E _{t}*

This assumption about inflation expectations is admittedly crude. Many people are probably more sophisticated in forming their expectations. As we discussed in Chapter 13, some economists advocate an approach called *rational expectations,* according to which people optimally use all available information when forecasting the future. Incorporating rational expectations into the model is, however, beyond the scope of this book. (Moreover, the empirical validity of rational expectations is open to dispute.) The assumption of adaptive expectations greatly simplifies the exposition of the theory without losing many of the model’s insights.

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The last piece of the model is the equation for monetary policy. We assume that the central bank sets a target for the nominal interest rate *i _{t}* based on inflation and output using this rule:

In this equation, *π _{t}** is the central bank’s target for the inflation rate. (For most purposes, target inflation can be assumed to be constant, but we will keep a time subscript on this variable so we can examine later what happens when the central bank changes its target.) Two key policy parameters are

To interpret this equation, it is best to focus not just on the nominal interest rate *i _{t}* but also on the real interest rate

At this point, one might naturally ask: what about the money supply? In previous chapters, such as Chapters 10 and 11, the money supply was typically taken to be the policy instrument of the central bank, and the interest rate adjusted to bring money supply and money demand into equilibrium. Here, we turn that logic on its head. The central bank is assumed to set a target for the nominal interest rate. It then adjusts the money supply to whatever level is necessary to ensure that the equilibrium interest rate (which balances money supply and demand) hits the target.

The main advantage of using the interest rate, rather than the money supply, as the policy instrument in the dynamic *AD–AS* model is that it is more realistic. Today, most central banks, including the Bank of Canada, set a short-term target for the nominal interest rate. Keep in mind, though, that hitting that target requires adjustments in the money supply. For this model, we do not need to specify the equilibrium condition for the money market, but we should remember that it is lurking in the background. When a central bank decides to change the interest rate, it is also committing itself to adjust the money supply accordingly.

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**The Taylor Rule**

If you wanted to set interest rates to achieve low, stable inflation while avoiding large fluctuations in output and employment, how would you do it? This is exactly the question that the members of the governing council at the Bank of Canada must ask themselves every week. The short-term policy instrument that the Bank now sets is the *overnight rate—*the short-term interest rate at which banks make loans to one another. On eight pre-arranged dates each year, the Bank announces its current target for the overnight rate. The Bank’s overnight-loan traders are then told to conduct buy and sell orders so that the desired target is met.

The hard part of the Bank’s job is choosing the target for the overnight rate. Two general guidelines are clear. First, when inflation heats up, the overnight rate should rise. An increase in the interest rate will mean a smaller money supply and, eventually, lower investment, lower output, higher unemployment, and reduced inflation. Second, when real economic activity slows*—*as reflected in real GDP or unemployment*—*the overnight rate should fall. A decrease in the interest rate will mean a larger money supply and, eventually, higher investment, higher output, and lower unemployment. These two guidelines are represented by the monetary-policy equation in the dynamic *AD–AS* model.

The Bank of Canada needs to go beyond these general guidelines, however, and determine its exact response to changes in inflation and real economic activity. Stanford University economist John Taylor has proposed the following rule for setting the similar interest rate in the United States*—*known as the federal funds rate^{1}:

Nominal Federal Funds Rate = Inflation + 2.0 + 0.5 (Inflation – 2.0) + 0.5 (GDP gap).

The *GDP gap* is the percentage by which real GDP deviates from an estimate of its natural level. (For consistency with our dynamic *AD–AS* model, the GDP gap here is taken to be positive if GDP rises above its natural level and negative if it falls below it.)

According to the Taylor rule, the real federal funds rate—the nominal rate minus inflation—responds to inflation and the GDP gap. According to this rule, the real federal funds rate equals 2 percent when inflation is 2 percent and GDP is at its natural level. The first constant of 2 percent in this equation can be interpreted as an estimate of the natural rate of interest *ρ*, and the second constant of 2 percent subtracted from inflation can be interpreted as the Fed’s inflation target *π _{t}**. For each percentage point that inflation rises above 2 percent, the real federal funds rate rises by 0.5 percent. For each percentage point that real GDP rises above its natural level, the real federal funds rate rises by 0.5 percent. If inflation falls below 2 percent or GDP moves below its natural level, the real federal funds rate falls accordingly.

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In addition to being simple and reasonable, the Taylor rule for monetary policy also resembles actual Fed behaviour in recent years. Figure 14-1 shows the actual nominal federal funds rate and the target rate as determined by Taylor’s proposed rule. Notice how the two series tend to move together. John Taylor’s monetary rule may be more than an academic suggestion. To some degree, it may be the rule that the Federal Reserve governors have been subconsciously following.

Figure 14-1: **FIGURE 14-1**

Figure 14-1: **The Federal Funds Rate: Actual and Suggested** This figure shows the federal funds rate set by the Federal Reserve in the United States and the target rate that John Taylor’s rule for monetary policy would recommend. Notice that the two series move closely together.

Canadian monetary policy is conducted in a similar fashion. As in the Taylor rule, the Bank of Canada’s target inflation rate has been 2 percent for a number of years. While the Bank has no similar explicit mandate concerning the output gap, Bank officials focus on keeping *future* inflation on target, and they know that—given the Phillips curve—this objective will not be met if the current output gap is allowed to become large. So the Bank reacts to variations in the output gap as well.

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Researchers at the Bank of Canada have been debating whether it would be better if they targeted the *price level*, not just its rate of change through time—the *inflation rate*. Historical evidence has shown that—perhaps unintentionally—the Bank has actually delivered a time path for Canada’s price level that is without any long-term drift away from a growth path of 2 percent. So, as a matter of fact, Canada’s performance has been consistent with what would emerge with a price-level target. This is why, in the Appendix to Chapter 11, we investigated a macro model with the central bank being an interest-rate setter (as in the present chapter) but without the dynamics that we are dealing with here. By modelling the central bank as targeting the price level rather than its time derivative, the inflation rate, the analysis in the Chapter 11 Appendix was much simpler and not appreciably less realistic. One of the reasons for including the present chapter is to reassure readers that our Chapter 11 simplification avoiding explicit dynamics did not lead us astray. The more complete dynamic analysis in the present chapter is what provides this reassurance, and what permits readers to get a more complete glimpse of what current research-level analysis of monetary policy is actually like.