- •About the author
- •Brief Contents
- •Contents
- •Preface
- •This Book’s Approach
- •What’s New in the Seventh Edition?
- •The Arrangement of Topics
- •Part One, Introduction
- •Part Two, Classical Theory: The Economy in the Long Run
- •Part Three, Growth Theory: The Economy in the Very Long Run
- •Part Four, Business Cycle Theory: The Economy in the Short Run
- •Part Five, Macroeconomic Policy Debates
- •Part Six, More on the Microeconomics Behind Macroeconomics
- •Epilogue
- •Alternative Routes Through the Text
- •Learning Tools
- •Case Studies
- •FYI Boxes
- •Graphs
- •Mathematical Notes
- •Chapter Summaries
- •Key Concepts
- •Questions for Review
- •Problems and Applications
- •Chapter Appendices
- •Glossary
- •Translations
- •Acknowledgments
- •Supplements and Media
- •For Instructors
- •Instructor’s Resources
- •Solutions Manual
- •Test Bank
- •PowerPoint Slides
- •For Students
- •Student Guide and Workbook
- •Online Offerings
- •EconPortal, Available Spring 2010
- •eBook
- •WebCT
- •BlackBoard
- •Additional Offerings
- •i-clicker
- •The Wall Street Journal Edition
- •Financial Times Edition
- •Dismal Scientist
- •1-1: What Macroeconomists Study
- •1-2: How Economists Think
- •Theory as Model Building
- •The Use of Multiple Models
- •Prices: Flexible Versus Sticky
- •Microeconomic Thinking and Macroeconomic Models
- •1-3: How This Book Proceeds
- •Income, Expenditure, and the Circular Flow
- •Rules for Computing GDP
- •Real GDP Versus Nominal GDP
- •The GDP Deflator
- •Chain-Weighted Measures of Real GDP
- •The Components of Expenditure
- •Other Measures of Income
- •Seasonal Adjustment
- •The Price of a Basket of Goods
- •The CPI Versus the GDP Deflator
- •The Household Survey
- •The Establishment Survey
- •The Factors of Production
- •The Production Function
- •The Supply of Goods and Services
- •3-2: How Is National Income Distributed to the Factors of Production?
- •Factor Prices
- •The Decisions Facing the Competitive Firm
- •The Firm’s Demand for Factors
- •The Division of National Income
- •The Cobb–Douglas Production Function
- •Consumption
- •Investment
- •Government Purchases
- •Changes in Saving: The Effects of Fiscal Policy
- •Changes in Investment Demand
- •3-5: Conclusion
- •4-1: What Is Money?
- •The Functions of Money
- •The Types of Money
- •The Development of Fiat Money
- •How the Quantity of Money Is Controlled
- •How the Quantity of Money Is Measured
- •4-2: The Quantity Theory of Money
- •Transactions and the Quantity Equation
- •From Transactions to Income
- •The Assumption of Constant Velocity
- •Money, Prices, and Inflation
- •4-4: Inflation and Interest Rates
- •Two Interest Rates: Real and Nominal
- •The Fisher Effect
- •Two Real Interest Rates: Ex Ante and Ex Post
- •The Cost of Holding Money
- •Future Money and Current Prices
- •4-6: The Social Costs of Inflation
- •The Layman’s View and the Classical Response
- •The Costs of Expected Inflation
- •The Costs of Unexpected Inflation
- •One Benefit of Inflation
- •4-7: Hyperinflation
- •The Costs of Hyperinflation
- •The Causes of Hyperinflation
- •4-8: Conclusion: The Classical Dichotomy
- •The Role of Net Exports
- •International Capital Flows and the Trade Balance
- •International Flows of Goods and Capital: An Example
- •Capital Mobility and the World Interest Rate
- •Why Assume a Small Open Economy?
- •The Model
- •How Policies Influence the Trade Balance
- •Evaluating Economic Policy
- •Nominal and Real Exchange Rates
- •The Real Exchange Rate and the Trade Balance
- •The Determinants of the Real Exchange Rate
- •How Policies Influence the Real Exchange Rate
- •The Effects of Trade Policies
- •The Special Case of Purchasing-Power Parity
- •Net Capital Outflow
- •The Model
- •Policies in the Large Open Economy
- •Conclusion
- •Causes of Frictional Unemployment
- •Public Policy and Frictional Unemployment
- •Minimum-Wage Laws
- •Unions and Collective Bargaining
- •Efficiency Wages
- •The Duration of Unemployment
- •Trends in Unemployment
- •Transitions Into and Out of the Labor Force
- •6-5: Labor-Market Experience: Europe
- •The Rise in European Unemployment
- •Unemployment Variation Within Europe
- •The Rise of European Leisure
- •6-6: Conclusion
- •7-1: The Accumulation of Capital
- •The Supply and Demand for Goods
- •Growth in the Capital Stock and the Steady State
- •Approaching the Steady State: A Numerical Example
- •How Saving Affects Growth
- •7-2: The Golden Rule Level of Capital
- •Comparing Steady States
- •The Transition to the Golden Rule Steady State
- •7-3: Population Growth
- •The Steady State With Population Growth
- •The Effects of Population Growth
- •Alternative Perspectives on Population Growth
- •7-4: Conclusion
- •The Efficiency of Labor
- •The Steady State With Technological Progress
- •The Effects of Technological Progress
- •Balanced Growth
- •Convergence
- •Factor Accumulation Versus Production Efficiency
- •8-3: Policies to Promote Growth
- •Evaluating the Rate of Saving
- •Changing the Rate of Saving
- •Allocating the Economy’s Investment
- •Establishing the Right Institutions
- •Encouraging Technological Progress
- •The Basic Model
- •A Two-Sector Model
- •The Microeconomics of Research and Development
- •The Process of Creative Destruction
- •8-5: Conclusion
- •Increases in the Factors of Production
- •Technological Progress
- •The Sources of Growth in the United States
- •The Solow Residual in the Short Run
- •9-1: The Facts About the Business Cycle
- •GDP and Its Components
- •Unemployment and Okun’s Law
- •Leading Economic Indicators
- •9-2: Time Horizons in Macroeconomics
- •How the Short Run and Long Run Differ
- •9-3: Aggregate Demand
- •The Quantity Equation as Aggregate Demand
- •Why the Aggregate Demand Curve Slopes Downward
- •Shifts in the Aggregate Demand Curve
- •9-4: Aggregate Supply
- •The Long Run: The Vertical Aggregate Supply Curve
- •From the Short Run to the Long Run
- •9-5: Stabilization Policy
- •Shocks to Aggregate Demand
- •Shocks to Aggregate Supply
- •10-1: The Goods Market and the IS Curve
- •The Keynesian Cross
- •The Interest Rate, Investment, and the IS Curve
- •How Fiscal Policy Shifts the IS Curve
- •10-2: The Money Market and the LM Curve
- •The Theory of Liquidity Preference
- •Income, Money Demand, and the LM Curve
- •How Monetary Policy Shifts the LM Curve
- •Shocks in the IS–LM Model
- •From the IS–LM Model to the Aggregate Demand Curve
- •The IS–LM Model in the Short Run and Long Run
- •11-3: The Great Depression
- •The Spending Hypothesis: Shocks to the IS Curve
- •The Money Hypothesis: A Shock to the LM Curve
- •Could the Depression Happen Again?
- •11-4: Conclusion
- •12-1: The Mundell–Fleming Model
- •The Goods Market and the IS* Curve
- •The Money Market and the LM* Curve
- •Putting the Pieces Together
- •Fiscal Policy
- •Monetary Policy
- •Trade Policy
- •How a Fixed-Exchange-Rate System Works
- •Fiscal Policy
- •Monetary Policy
- •Trade Policy
- •Policy in the Mundell–Fleming Model: A Summary
- •12-4: Interest Rate Differentials
- •Country Risk and Exchange-Rate Expectations
- •Differentials in the Mundell–Fleming Model
- •Pros and Cons of Different Exchange-Rate Systems
- •The Impossible Trinity
- •12-6: From the Short Run to the Long Run: The Mundell–Fleming Model With a Changing Price Level
- •12-7: A Concluding Reminder
- •Fiscal Policy
- •Monetary Policy
- •A Rule of Thumb
- •The Sticky-Price Model
- •Implications
- •Adaptive Expectations and Inflation Inertia
- •Two Causes of Rising and Falling Inflation
- •Disinflation and the Sacrifice Ratio
- •13-3: Conclusion
- •14-1: Elements of the Model
- •Output: The Demand for Goods and Services
- •The Real Interest Rate: The Fisher Equation
- •Inflation: The Phillips Curve
- •Expected Inflation: Adaptive Expectations
- •The Nominal Interest Rate: The Monetary-Policy Rule
- •14-2: Solving the Model
- •The Long-Run Equilibrium
- •The Dynamic Aggregate Supply Curve
- •The Dynamic Aggregate Demand Curve
- •The Short-Run Equilibrium
- •14-3: Using the Model
- •Long-Run Growth
- •A Shock to Aggregate Supply
- •A Shock to Aggregate Demand
- •A Shift in Monetary Policy
- •The Taylor Principle
- •14-5: Conclusion: Toward DSGE Models
- •15-1: Should Policy Be Active or Passive?
- •Lags in the Implementation and Effects of Policies
- •The Difficult Job of Economic Forecasting
- •Ignorance, Expectations, and the Lucas Critique
- •The Historical Record
- •Distrust of Policymakers and the Political Process
- •The Time Inconsistency of Discretionary Policy
- •Rules for Monetary Policy
- •16-1: The Size of the Government Debt
- •16-2: Problems in Measurement
- •Measurement Problem 1: Inflation
- •Measurement Problem 2: Capital Assets
- •Measurement Problem 3: Uncounted Liabilities
- •Measurement Problem 4: The Business Cycle
- •Summing Up
- •The Basic Logic of Ricardian Equivalence
- •Consumers and Future Taxes
- •Making a Choice
- •16-5: Other Perspectives on Government Debt
- •Balanced Budgets Versus Optimal Fiscal Policy
- •Fiscal Effects on Monetary Policy
- •Debt and the Political Process
- •International Dimensions
- •16-6: Conclusion
- •Keynes’s Conjectures
- •The Early Empirical Successes
- •The Intertemporal Budget Constraint
- •Consumer Preferences
- •Optimization
- •How Changes in Income Affect Consumption
- •Constraints on Borrowing
- •The Hypothesis
- •Implications
- •The Hypothesis
- •Implications
- •The Hypothesis
- •Implications
- •17-7: Conclusion
- •18-1: Business Fixed Investment
- •The Rental Price of Capital
- •The Cost of Capital
- •The Determinants of Investment
- •Taxes and Investment
- •The Stock Market and Tobin’s q
- •Financing Constraints
- •Banking Crises and Credit Crunches
- •18-2: Residential Investment
- •The Stock Equilibrium and the Flow Supply
- •Changes in Housing Demand
- •18-3: Inventory Investment
- •Reasons for Holding Inventories
- •18-4: Conclusion
- •19-1: Money Supply
- •100-Percent-Reserve Banking
- •Fractional-Reserve Banking
- •A Model of the Money Supply
- •The Three Instruments of Monetary Policy
- •Bank Capital, Leverage, and Capital Requirements
- •19-2: Money Demand
- •Portfolio Theories of Money Demand
- •Transactions Theories of Money Demand
- •The Baumol–Tobin Model of Cash Management
- •19-3 Conclusion
- •Lesson 2: In the short run, aggregate demand influences the amount of goods and services that a country produces.
- •Question 1: How should policymakers try to promote growth in the economy’s natural level of output?
- •Question 2: Should policymakers try to stabilize the economy?
- •Question 3: How costly is inflation, and how costly is reducing inflation?
- •Question 4: How big a problem are government budget deficits?
- •Conclusion
- •Glossary
- •Index
|
|
|
|
C H A P T E R 1 |
The Science of Macroeconomics | 7 |
|||||
FIGURE 1-3 |
|
|
|
|
|
|
|
|
|
|
Percent unemployed |
|
World |
Great |
World |
Korean |
|
Vietnam |
First oil price shock |
||
|
|
|
||||||||
|
|
War I |
Depression |
War II |
War |
|
War |
Second oil price shock |
||
25 |
|
|
|
|
|
|
|
|
|
|
20 |
|
|
|
|
|
|
|
|
9/11 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
terrorist |
|
|
|
|
|
|
|
|
|
|
attack |
|
15 |
|
|
|
|
|
|
|
|
|
|
10 |
|
|
|
|
|
|
|
|
|
|
5 |
|
|
|
|
|
|
|
|
|
|
0 |
1910 |
1920 |
1930 |
1940 |
1950 |
1960 |
1970 |
1980 |
1990 |
2000 |
1900 |
||||||||||
|
|
|
|
|
|
|
|
|
|
Year |
The Unemployment Rate in the U.S. Economy The unemployment rate measures the percentage of people in the labor force who do not have jobs. This figure shows that the economy always has some unemployment and that the amount fluctuates from year to year.
Source: U.S. Department of Labor and U.S. Bureau of the Census (Historical Statistics of the United States: Colonial Times to 1970).
1-2 How Economists Think
Economists often study politically charged issues, but they try to address these issues with a scientist’s objectivity. Like any science, economics has its own set of tools—terminology, data, and a way of thinking—that can seem foreign and arcane to the layman.The best way to become familiar with these tools is to practice using them, and this book affords you ample opportunity to do so.To make these tools less forbidding, however, let’s discuss a few of them here.
Theory as Model Building
Young children learn much about the world around them by playing with toy versions of real objects. For instance, they often put together models of cars, trains, or planes. These models are far from realistic, but the model-builder
8 | P A R T I Introduction
learns a lot from them nonetheless.The model illustrates the essence of the real object it is designed to resemble. (In addition, for many children, building models is fun.)
Economists also use models to understand the world, but an economist’s model is more likely to be made of symbols and equations than plastic and glue. Economists build their “toy economies” to help explain economic variables, such as GDP, inflation, and unemployment. Economic models illustrate, often in mathematical terms, the relationships among the variables. Models are useful because they help us to dispense with irrelevant details and to focus on underlying connections. (In addition, for many economists, building models is fun.)
Models have two kinds of variables: endogenous variables and exogenous variables. Endogenous variables are those variables that a model tries to explain. Exogenous variables are those variables that a model takes as given. The purpose of a model is to show how the exogenous variables affect the endogenous variables. In other words, as Figure 1-4 illustrates, exogenous variables come from outside the model and serve as the model’s input, whereas endogenous variables are determined within the model and are the model’s output.
FIGURE 1-4
|
|
|
Exogenous Variables |
Model |
Endogenous Variables |
|
|
|
|
|
|
How Models Work Models are simplified theories that show the key relationships among economic variables. The exogenous variables are those that come from outside the model. The endogenous variables are those that the model explains. The model shows how changes in the exogenous variables affect the endogenous variables.
To make these ideas more concrete, let’s review the most celebrated of all economic models—the model of supply and demand. Imagine that an economist wanted to figure out what factors influence the price of pizza and the quantity of pizza sold. He or she would develop a model that described the behavior of pizza buyers, the behavior of pizza sellers, and their interaction in the market for pizza. For example, the economist supposes that the quantity of pizza demanded by consumers Qd depends on the price of pizza P and on aggregate income Y. This relationship is expressed in the equation
Qd = D(P, Y ),
where D( ) represents the demand function. Similarly, the economist supposes that the quantity of pizza supplied by pizzerias Qs depends on the price of pizza P
C H A P T E R 1 The Science of Macroeconomics | 9
and on the price of materials Pm, such as cheese, tomatoes, flour, and anchovies. This relationship is expressed as
Qs = S(P, Pm),
where S( ) represents the supply function. Finally, the economist assumes that the price of pizza adjusts to bring the quantity supplied and quantity demanded into balance:
Qs = Qd.
These three equations compose a model of the market for pizza.
The economist illustrates the model with a supply-and-demand diagram, as in Figure 1-5. The demand curve shows the relationship between the quantity of pizza demanded and the price of pizza, holding aggregate income constant. The demand curve slopes downward because a higher price of pizza encourages consumers to switch to other foods and buy less pizza. The supply curve shows the relationship between the quantity of pizza supplied and the price of pizza, holding the price of materials constant. The supply curve slopes upward because a higher price of pizza makes selling pizza more profitable, which encourages pizzerias to produce more of it. The equilibrium for the market is the price and quantity at which the supply and demand curves intersect. At the equilibrium price, consumers choose to buy the amount of pizza that pizzerias choose to produce.
This model of the pizza market has two exogenous variables and two endogenous variables. The exogenous variables are aggregate income and the price of
FIGURE 1-5
Price of pizza, P
Supply
Market equilibrium
Equilibrium price
Demand
Equilibrium quantity
Quantity of pizza, Q
The Model of Supply and Demand The most famous economic model is that of supply and demand for a good or service—in this case, pizza. The demand curve is a downward-sloping curve relating the price of pizza to the quantity of pizza that consumers demand. The supply curve is an upward-sloping curve relating the price of pizza to the quantity of pizza that pizzerias supply. The price of pizza adjusts until the quantity supplied equals the quantity demanded. The point where the two curves cross is the market equilibrium, which shows the equilibrium price of pizza and the equilibrium quantity of pizza.
10 | P A R T I Introduction
materials.The model does not attempt to explain them but instead takes them as given (perhaps to be explained by another model).The endogenous variables are the price of pizza and the quantity of pizza exchanged. These are the variables that the model attempts to explain.
The model can be used to show how a change in one of the exogenous variables affects both endogenous variables. For example, if aggregate income increases, then the demand for pizza increases, as in panel (a) of Figure 1-6.The model shows that both the equilibrium price and the equilibrium quantity of pizza rise. Similarly, if the price of materials increases, then the supply of pizza decreases, as in panel (b) of Figure 1-6. The model shows that in this case the
FIGURE 1-6
Price of pizza, P
P2
P1
Price of pizza, P
P2
P1
(a) A Shift in Demand
S
D2
D1
Q1 |
Q2 |
Quantity of pizza, Q |
(b) A Shift in Supply
S2
S1
|
|
D |
Q2 |
Q1 |
Quantity of pizza, Q |
Changes in Equilibrium In panel (a), a rise in aggregate income causes the demand for pizza to increase: at any given price, consumers now want to buy more pizza. This is represented by a rightward shift in the demand curve from D1 to D2. The market moves to the new intersection of supply and demand. The equilibrium price rises from P1 to P2, and the equilibrium quantity of pizza rises from Q1 to Q2. In panel (b), a rise in the price of materials decreases the supply of pizza: at any given price, pizzerias find that the sale of pizza is less profitable and therefore choose to produce less pizza. This is represented by a leftward shift in the supply curve from S1 to S2. The market moves to the new intersection of supply and demand. The equilibrium price rises from P1 to P2, and the equilibrium quantity falls from Q1 to Q2.
C H A P T E R 1 The Science of Macroeconomics | 11
equilibrium price of pizza rises and the equilibrium quantity of pizza falls.Thus, the model shows how changes either in aggregate income or in the price of materials affect price and quantity in the market for pizza.
Like all models, this model of the pizza market makes simplifying assumptions. The model does not take into account, for example, that every pizzeria is in a different location. For each customer, one pizzeria is more convenient than the others, and thus pizzerias have some ability to set their own prices. The model assumes that there is a single price for pizza, but in fact there could be a different price at every pizzeria.
How should we react to the model’s lack of realism? Should we discard the simple model of pizza supply and demand? Should we attempt to build a more complex model that allows for diverse pizza prices? The answers to these questions depend on our purpose. If our goal is to explain how the price of cheese affects the average price of pizza and the amount of pizza sold, then the diversity of pizza prices is probably not important.The simple model of the pizza market does a good job of addressing that issue. Yet if our goal is to explain why towns with ten pizzerias have lower pizza prices than towns with two, the simple model is less useful.
FYI
Using Functions to Express Relationships Among Variables
All economic models express relationships among economic variables. Often, these relationships are expressed as functions. A function is a mathematical concept that shows how one variable depends on a set of other variables. For example, in the model of the pizza market, we said that the quantity of pizza demanded depends on the price of pizza and on aggregate income. To express this, we use functional notation to write
Qd = D(P, Y).
This equation says that the quantity of pizza demanded Qd is a function of the price of pizza P and aggregate income Y. In functional notation, the variable preceding the parentheses denotes the function. In this case, D( ) is the function expressing how the variables in parentheses determine the quantity of pizza demanded.
If we knew more about the pizza market, we could give a numerical formula for the quantity of pizza demanded. For example, we might be able to write
Qd = 60 − 10P + 2Y.
In this case, the demand function is
D(P, Y ) = 60 − 10P + 2Y.
For any price of pizza and aggregate income, this function gives the corresponding quantity of pizza demanded. For example, if aggregate income is $10 and the price of pizza is $2, then the quantity of pizza demanded is 60 pies; if the price of pizza rises to $3, the quantity of pizza demanded falls to 50 pies.
Functional notation allows us to express the general idea that variables are related, even when we do not have enough information to indicate the precise numerical relationship. For example, we might know that the quantity of pizza demanded falls when the price rises from $2 to $3, but we might not know by how much it falls. In this case, functional notation is useful: as long as we know that a relationship among the variables exists, we can express that relationship using functional notation.