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Page 1: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Fall 2014Fall 2014

Macroeconomics

Starring Erik Hurst

1

Page 2: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Total U.S. Non Farm Employment Since 1990

Note: Up through July 2014 (Shaded Years are Recessions)

Page 3: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Unemployment Rate: 1970M1 – 2014M7

Page 4: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Unemployment Rate: 1970M1 – 2014M7

Rapid Fall in Unemployment at Recession End

Page 5: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Unemployment Rate: 1970M1 – 2014M7

“Jobless” Recoveries

Page 6: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Unemployment Duration: 1970M1 – 2014M7

Page 7: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Unemployment Duration: 1970M1 – 2014M7

Increased Extension of Unemployment Benefits?

Page 8: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Broad Questions of Interest About Unemployment

• What is a recession?

• Why would unemployment increase at the end of a recession?

• Why has the nature of unemployment coming out of recessions changed over time?

• Why does unemployment exist?

• Can policymakers affect the unemployment rate?

Page 9: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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How is Unemployment Measured?

• Standardized Definition of the Unemployment Rate:

Unemployed = jobless but looking for a job

Labor Force = #Employed + #Unemployed

Unemployment Rate = (# Unemployed) / (Labor Force)

This is the definition used in most countries, including the U.S.

U.S. data: http://stats.bls.gov/eag.table.html

U.S. measurement details: http://stats.bls.gov/cps_htgm.htm

Issues: Discouraged Workers, Underemployed, Measurement Issues

• Readings: #23, 24 from Reading List

Page 10: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Components of Unemployment

• Flow of people into the unemployment pool

o Flow into unemployment from employment (job loss)

o Flow into unemployment from out of labor force (stop being discouraged)

• Flow of people out of the unemployment pool

o Flow out of unemployment into employment (job finding)

o Flow out of unemployment out of labor force (discouraged workers)

Page 11: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Labor Force Participation Rate: Men

Labor force participation rate = Labor Force/Population

Page 12: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Labor Force Participation Rate: Women

Labor force participation rate = Labor Force/Population

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Employment to Population Rate: Men

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Employment to Population Rate: Women

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Types of Unemployment

• Frictional Unemployment: Result of Matching Behavior between Firms and Workers.

• Structural Unemployment: Result of Mismatch of Skills and Employer Needs

• Cyclical Unemployment: Result of output being below full-employment. Individuals have the desire to work and the skills to work, yet cannot find a job.

• Is Zero Unemployment a Reasonable Policy Goal?– No! Frictional and Structural Unemployment may be desirable (unavoidable).

Readings: Supplemental Notes 4 (pages 16-17); Reading List #6,7, 29-30

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Why is the Distinction Important?

• How much of the current unemployment is structural vs. cyclical?

• This is a current debate among policy makers (and a question I am trying to answer in my own research)

• Why could there be structural unemployment?

o Some industries boomed inefficiently during the early 2000s (construction) and need to retrench. The jobs being created now are not in those

industries (where unemployment is high).

o Some industries were in secular decline during the 2000s (manufacturing). The jobs being created now are not in those industries.

o Workers in manufacturing and construction need to be reallocated to other sectors.

Page 17: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Some Other Labor Market Facts

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Page 18: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Page 19: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Page 20: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Page 21: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Page 22: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

My Current Research

• Big decline in manufacturing employment during the early 2000s. This usually depresses wages and employment of non-college individuals.

• Housing boom during the early 2000s lifted the employment and wages of lower skilled individuals (by propping up construction and housing related services).

• Housing boom “masked” the structural decline in manufacturing. The manufacturing decline is “permanent” while the housing boom was temporary.

• This is the focus of a series of new papers with (with Kerwin Charles and Matt Notowidigdo).

• Preview some background patterns now. Will talk about the identification later in the course. About 40% of increase in non-employment during the 2000-2012 period can be explained by declining manufacturing.

Page 23: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

~1 Million Jobs Lost

During 1980s and 1990s

Page 24: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

~1 Million Jobs Lost

During 1980s and 1990s

~4 Million Jobs Lost

Between 2000-2007

(Housing Boom Years)

Page 25: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

~1 Million Jobs Lost

During 1980s and 1990s

~4 Million Jobs Lost

Between 2000-2007

(Housing Boom Years)

~1 Million Jobs Lost

After 2007

Page 26: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

U.S. Employment Trends for Non-College Men (age 21-55)

Manufacturing + Construction

Manufacturing

Construction

Page 27: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

U.S. Employment Trends for Non-College Men (age 21-55)

Manufacturing + Construction

Manufacturing

Construction

Page 28: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Propensity to Have At Least One Year of College (Age: 18-29)

Page 29: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Propensity to Have At Least One Year of College (Age: 18-29)

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A Side Question: Why Should We Care About Unemployment?

• Depreciation of Human Capital

o Individuals lose skills when they sit idle.

• Productive Externalities

o Working individuals mean fewer wasted resources.

• Social Externalities

o Individuals not working could increase crime, divorce, etc.

• Individual Self-Worth

o Individuals not working may have lower marginal utility of leisure or consumption.

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Questions We Will Address In This Course

1. What causes recessions? What causes unemployment?

2. What caused this recession? Will there be a double dip?

3. What is the link between housing prices and “real” economic activity (consumption, production, unemployment, etc.)?

4. What is the link between the banking sector and “real” economic activity?

5. Should we be concerned with inflation? What about deflation?

6. What causes inflation/deflation?

7. How can policy makers (Fed/Congress/President) influence economic activity in the short run (fight inflation and recessions) and in the long run (promote economic growth)?

8. What are the pitfalls of government intervention?

9. What makes economies grow in the LONG RUN?

10. How worried should we be about long run government deficits? What about the “fiscal cliff”?

11. What are the costs/benefits of altering the nature of the Federal Reserve?

12. What is the influence of China and India on the U.S. economy?

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Caveat #1

• My course takes the perspective of analyzing any large macroeconomy (with respect to the models we build).

• The examples will come primarily from the U.S. (because that is what I study)

• However, the insights apply equally well to all large developed economies including:

– The European Union

– Japan

– Canada, Australia, etc. (for the most part).

• The models you will learn in this class also explain consumer, business, and government behavior for all economies (China, India, etc.).

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Caveat #2

• The course takes time to build.

• Our goal is to construct and analyze the economy as a whole.

• To do that, we separately build the parts.

• After we build the parts, we put them together to see how they interact.

• At certain points in the class, you may feel that we are losing sight of the big picture and you may feel lost. That is common.

• But, I promise, by week 7 or 8 everything will come together (it always does).

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Note

• I have so much material to cover in this course, that we will have a mandatory extra lecture.

• The course will be comprised of 11 lectures.

• The extra lecture for all sections: October 17th (from 6 pm – 9 pm) –in Gleacher Room 100 (this is a Friday night)

• All are expected to attend.

• See syllabus for full details.

Page 35: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

TOPIC 1TOPIC 1

A Introduction to Macro Data

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Goals of the Lecture

• What is Gross Domestic Product (GDP)? Why do we care about it?

• How do we measure standard of living over time?

• What are the definitions of the major economic expenditure components?

• What are the trends in these components over time?

• What is the difference between ‘Real’ and ‘Nominal’ variables?

• How is Inflation measured? Why do we care about Inflation?

• What have been the predominant relationships between Inflation and GDP

over the last four decades?

NOTE: This lecture will likely go into next week. This is by design. It does not mean we will be short-changed on other material later in the class.

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Gross Domestic Product (GDP)

• GDP is a measure of output.

• Why Do We Care?

– Because output is highly correlated (at certain times) with other things we care about (standard of living, wages, unemployment, inflation, budget and trade deficits, value of currency, etc…)

• Formal Definition:

– GDP is the Market Value of all Final Goods and Services Newly Produced on Domestic Soil During a Given Time Period (different than GNP)

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“Production” Equals “Expenditure”

• GDP is a measure of Market Production!

• GDP = Expenditure = Income = Y (the symbol we will use)

(in macroeconomic equilibrium)

• What is produced in the market has to be show up as being purchased or held by some economic agent.

• Who are the economic agents we will consider on the expenditure side?

– Consumers (refer to expenditure of consumers as “consumption”)

– Businesses (refer to expenditure of firms as “investment”)

– Governments (refer to expenditures of governments as “government spending”)

– Foreign Sector (refer to expenditures of foreign sector as “exports”)

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A Simple Example

• What is “produced” has to be “purchased” by someone (including the producer).

• Suppose I produce a cell phone. If so, I could:

– sell it to some domestic customer (Consumption)

– sell it some domestic business (Investment)

– keep it in my stock room as inventory (Investment)

– sell it to some domestic government (Government spending)

– sell it to some foreign consumer, business or government (Export)

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“Production” Equals “Income”

• What is Produced is Also a Measure of Income.

• If you pay a $1 for something, that $1 has to end up in someone’s pocket as:

Wages/Salary (compensation for workers who make production)

Profits (compensation for self employed)

Rents (compensation for land owners)

Interest (compensation for debt owners)

Dividends (compensation for equity owners)

• Notice, wages are only one component of income (Y does not equal wages)! (Although, under certain production functions, they will be proportional to each other).

Page 41: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Stop and Pause

• By definition…..

Production = Income = Expenditure = Y

• What is produced has to be purchased by someone (accounting for inventory changes).

• Value of what is purchased has to end up as income in somebody’s pocket!

• In our class, we realize that the terms are interchangeable in equilibrium.

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Measuring GDP in Practice

• Production Method: Measure the Value Added summed Across Industries

(value added = sale price - cost of raw materials)

• Expenditure Method: Spending by consumers (C) + Spending by businesses (I) + Spending by government (G) + Net Spending by foreign sector (NX)

• Income Method: Labor Income (wages/salary) +

Capital Income (rent, interest, dividends, profits).

• In our class, we will model the production side of economy (supply side) and the expenditure side of the economy (demand side).

• Prices will always adjust to equate supply and demand such that Y (production) always equals Y (expenditure).

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What GDP is NOT!

• GDP is not, or never claims to be, an absolute measure of well-being!

– Size effects : But even GDP per capita is not a perfect measure of welfare

• “The gross national product does not allow for the health of our children, the quality of their education, or the joy of their play. It does not include the beauty of our poetry or the strength of our marriages, the intelligence of our public debate or the integrity of our public officials. It measures neither our courage, nor our wisdom, nor our devotion to our country. It measures everything, in short, except that which makes life worthwhile, and it can tell us everything about America except why we are proud to be Americans.”

– U.S. Senator Robert F. Kennedy, 1968

Page 44: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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More on What GDP Is Not

• GDP Does Not Measure:

– Non-Market Activity (home production, leisure, black market activity)– Environmental Quality/Natural Resource Depletion– Life Expectancy and Health– Income Distribution– Crime/Safety

• Remember how we measure GDP…(i.e., how does one measure “safety”).

• Ideally, what we would like to measure is quality of one’s life:

– Present discounted value of utility from one’s own consumption and leisure and that of one’s loved ones.

• Readings: #17-22, 25-26

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Defining the Expenditure Components (formally)

• Consumption (C):

– The Sum of Durables, Non-Durables and Services Purchased Domestically by Non-Businesses and Non-Governments (ie, individual consumers).

– Includes Haircuts (services), Refrigerators (durables), and Apples (non-durables).– Does Not Include Purchases of New Housing.

• Investment (I):

– The Sum of Durables, Non-Durables and Services Purchased Domestically by Businesses

– Includes Business and Residential Structures, Equipment and Inventory Investment– Land purchases are NOT counted as part of GDP (land is not produced!!)– Stock purchases are NOT counted as part of GDP (stock transactions do NOT

represent production – they are saving!)

There is a difference between financial and economic investment!!!!!!!

Page 46: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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More On Expenditure/Production Components

• Government Spending (G): Goods and Services Purchased by the domestic government.

• For the U.S., 2/3 of this is at the state level (police and fire protection, school teachers, snow plowing) and 1/3 is at the federal level (President, Post Office, Missiles).

• NOTE: Welfare and Social Security are NOT Government Spending. These are Transfer Payments. Nothing is Produced in this Case.

• Net Exports (NX): Exports (X) - Imports (IM); – Exports: The Amount of Domestically Produced Goods Sold on Foreign Soil – Imports: The Amount of Goods Produced on Foreign Soil Purchased

Domestically.

Page 47: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Summary of the Demand Side of Economy

• Aggregate Expenditure:

Y = C + I + G + X – IM

(A key equation in our class)

• Only four economic agents can “spend” on domestic production

Domestic consumers (C)

Domestic firms (I)

Domestic governments (G)

Foreign consumers, firms, and governments (X)

• We will develop models for each sub component of the expenditure side of the economy (C, I, G, and NX).

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Measuring Expenditure (Demand Side)

• Only include expenditures for goods that are “produced”.

– If I give $10 to a movie theater to watch a movie, it is counted as expenditure.– If I give $10 to my nephew for a birthday present, it is not counted as expenditure.– If I give $10 to the ATM machine to put in my savings account, it is not counted as

expenditure.

• The second example would be considered a “transfer” (once I give $10 to my nephew, he can go to the movies if he wanted to – once that $10 is spent, it will show up in GDP).

– “Transfers” are defined as the exchange of economic resources from one economic agent to another when no goods or services are exchanged.

• The third example is considered “saving” (I am delaying expenditure until the future). Once I spend the $10 in the future, it will show up in GDP. In the meantime, someone may borrow the $10 from the bank and spend it.

– Interest rates will adjust to make sure savings equal investment.

Page 49: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Some Examples of GDP Measurement

• Thinking about imports

Y = C + I + G + X – IM

• Thinking about inventories (storing production….)

Y = C + I + G + X – IM

• Distinguishing between government spending and “transfers”.

Y = C + I + G + X – IM

Page 50: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Preview of Supply Side of Economy

• Production:

Y = f(A, N, K, other inputs like oil)

A = technology,

N = labor input,

K = capital (machine) input

• We will develop models/intuition for A, N, K and other inputs (like oil)

• N will be determined in the labor market (labor demand and labor supply)

• K will be determined by past investment behavior (net of depreciation).

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Where We are Headed

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The role of “prices”

• “Prices” ensure that we are always in equilibrium

• 4 prices in our class

Price of output (e.g., CPI) P

Price of labor (real wages) W/P

Price of money (loans – real interest rates) r

Price of foreign currency (exchange rate) $ or e

• We will develop (from fundamentals) these 4 markets in our class.

• All are determined by “supply” forces and “demand” forces.

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The 4 Markets

1) Labor Demand vs. Labor Supply (determines N and W/P)

Necessary to compute the supply side of economy

Key to where recessions come from (frictions in the labor market)

2) IS-LM market (determines r and Y (via I))

Interest rates determine firm investment

Key to central bank policy (sets r)

Key to understanding banking crises.

3) Aggregate Demand vs. Aggregate Supply (determines P and Y)

Key to understanding where inflation comes from.

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The 4 Markets (continued)

4) Foreign Exchange Market (determines value of currency and NX)

We will focus on this market in last week of class.

Key to understanding the interaction of macro link across countries.

Notice:

• All markets help to pin down the level of Y in the economy

• These four markets (and their components) will determine everything we want to know about the macroeconomy (production, inflation, economic growth, unemployment, interest rates, budget deficits, trade deficits, etc.)

• For the next 7 weeks, we will build the underpinnings of these markets. In doing so, we will uncover how these markets work and what factors influence these markets.

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An Important Equation

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Defining Savings (Store this Away!)

Yd = Disposable Income = Y - T + Tr (definition) (1)

• T = Taxes• Tr = Transfers (ie, Welfare)

Yd = C + SHH (Only can save or spend disposable income) (2)

• SHH = Personal (Household or Private) Saving

SHH = Y - T + Tr – C <<Combine (1) and (2)>> (3)

• Personal Savings Rate = SHH/Yd

• For simplicity, we are going to abstract from business saving (things like retained earnings and depreciation). For those interested in more of these accounting relationships, see the text.

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A Look at Actual U.S. Household Saving Rates: 1970M1 – 2014M6

Remember: Shaded areas are recessions.

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Saving Identities (continued)

Sgovt = T - (G + Tr) (Definition of government surplus) (4)

• Sgovt = Government (Public) Saving

• Includes Federal, State and Local Saving

• What government collects (T) less what they pay out (G and Tr)

S = SHH + Sgovt = Y - C - G = I + NX (combine (3) and (4)) (5)

• S = National Savings

Restate (5):

S = Y - C – G <<Combine (3) and (5)>> (6)

S = I + NX <<Combine (6) and Y = C+I+G+NX>> (7)

Page 59: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Summary

S = I + NX

We will use this equation for the rest of the class!

National savings, goes into a “bank”.

Firms looking to borrow, go to the “bank”.

Firms can only borrow what is in the “bank”

In a world where NX = 0, interest rates will adjust such that savings will always equal investment (I=S – this will be our IS curve later in the course).

What is the role of NX? (International savings – discuss later in class)

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Understanding Prices and Inflation

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Prices and Inflation

• Why is it important to measure “prices” of goods and services?

o Prices are a key metric of measurement (we measure GDP in prices).

- The metric changes over time given that prices change over time.

o Changes in prices (inflation) is of independent interest in the macroeconomy.

- Inflation is just the percentage growth rate in prices.

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Prices as Measurement

• Measures macro prices of goods and services through “price indices”

• Price Indices track the relative change in the prices for a “basket” of many goods (intended to representative of all goods) compared to the same basket of goods in a “base year”.

• The base year is the anchor for the price index and all subsequent price indices are relative to the base year.

• GDP Deflator (one prominent price index):

Value of Current Output at Current Prices / Value of Current Output at Base Year Prices

• Another prominent price index is the CPI (consumer price index) – measures price changes of consumer goods. I will often use the CPI as our measure of a price index in this class.

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63

Example of Price Index Calculation (Continued)

• Nominal GDP is output valued at Current Prices

• Comparing Nominal GDPs over time can become problematic. Confuse Changes in Output (production) with Changes in Prices

• Real GDP is output valued at some Constant Level of Prices (prices in a base year).

Real GDP(t) = Nominal GDP(t) / Price Index (t)

• Growth in Real GDP:

% Δ in Real GDP = [Real GDP (t+1) - Real GDP (t)]/Real GDP (t)

or (approximately)

% Δ in Real GDP = % Δ in Nominal GDP - % Δ in P

• See Supplemental Notes 1 (Real vs. Nominal Variables) for examples.

Page 64: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Technical Notes on Price Indices

• Need to Pick a Basket of Goods (cannot measure all prices)

• ‘Ideal/Representative’ Basket of Goods Change Over Time

– Invention (Computers, Cell Phones, VCRs, DVDs).

– Quality Improvements (Anti-Lock Brakes)

– Could differ by place or person?

• Criticism of Price Indices: Part of the Change in Prices Represents a Change in Quality - Actually, not measuring the same goods in your basket over time.

• How do we account for “sales”?

• Additionally - technology advances drive down the price of ‘same’ goods over time.

Page 65: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Technical Notes on Price Indices

• Boskin Report (1996) Concludes that CPI Overstates Inflation by 1.1% per year.

• Overstating Inflation means understated Real GDP increases - makes it appear that the U.S. Economy has Grown Slower Over Time. (Same for Stock Market, Housing Prices, Wages - any Nominal Measure).

• Measures to Get Around Problems with CPI - Chain Weighting – Read Text to get a sense of chain weighting.

• Readings: #16, 27, 28

Page 66: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Technical Notes on Price Indices

• Which is better: Real or Nominal?

– In this class, we will focus on the ‘Real’! We are trying to measure changes in production, expenditures, income, standard of livings, etc. We will separately focus on the changes in prices.

– From now on, both in the analytical portions and the data portions of the course, we will assume everything is real unless otherwise told.

• ie, Y = Real GDP, C = Real Consumption, G = Real Government Purchases, etc...

Page 67: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Some More New Research

• Create price indices at state and local levels.

• Such series have never been systematically created within the U.S.

• Increased demand for such series (as more research is taking place exploiting cross U.S. variation – we will discuss this later in the course).

• Work in progress

o Scanner data which includes grocery goods and small durables.

o Housing data

o Energy prices

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Page 72: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)
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Recessions and Inflation in U.S. Over Last 40 Years

Page 74: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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What is a Recession?

• “Official Rule of Thumb” - 2 or more quarters of negative real GDP growth

• Most Economies are usually not in recession

– U.S. average postwar expansion: 50 months

– U.S. average postwar recession: 11 months

– Previous Recession: 19 months (December 2007 – June 2009)

– Previous Expansion: 71 months (January 2002 - November 2007)

– The 1990s experienced the longest expansion since 1850 (the second longest was 106 months ; 1961-1969)

– For Information on Business Cycle Dates see: http://www.nber.org/cycles.html

Page 75: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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A Look at U.S. Nominal GDP: 1970Q1 – 2014Q1

Page 76: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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A Look at U.S. Inflation: 1970M1 – 2014M7

Page 77: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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A Look at U.S. Real GDP: 1970Q1 – 2014Q1

Page 78: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Real GDP and Inflation Over the Last Three Decades?

High or Rising Inflation: 73-75 07-0879-80

Low or Falling Inflation: 81-83 96-00 (sustained) 08-09

90-91 01-02

High Growth in GDP: 83-8696-00 (sustained)

Negative Growth in GDP: 74-75 90-9179-80 01-0281-83 08-09

1) Sometimes Negative Growth in GDP and Rising Inflation (70s)2) Sometimes Negative Growth in GDP and Falling Inflation (80s and 90s)

Need Theory to Explain Both Sets of Facts!!!!

Page 79: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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More On Recessions

Dates Length

2/61 - 11/69 Expansion 106 months

12/69 - 10/70 Recessions 11 months

11/70 - 10/73 Expansion 36 months

11/73 - 2/75 Recession 16 months

3/75 - 12/79 Expansion 58 months

1/80 - 6/80 Recession 6 months

7/80 - 6/81 Expansion 12 months

7/81 - 10/82 Recession 16 months

11/82 - 6/90 Expansion 92 months

7/90 - 2/91 Recession 8 months

3/91 - 3/01 Expansion 121 months

4/01 - 12/01 Recession 8 months

1/02 - 11/07 Expansion 71 months

12/07 - 6/09 Recession 19 months

7/09 - current Expansion 72 months

Page 80: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Great Moderation?

Dates Length

2/61 - 11/69 Expansion 106 months

12/69 - 10/70 Recessions 11 months

11/70 - 10/73 Expansion 36 months

11/73 - 2/75 Recession 16 months

3/75 - 12/79 Expansion 58 months

1/80 - 6/80 Recession 6 months

7/80 - 6/81 Expansion 12 months

7/81 - 10/82 Recession 16 months

11/82 - 6/90 Expansion 92 months

7/90 - 2/91 Recession 8 months

3/91 - 3/01 Expansion 121 months

4/01 - 12/01 Recession 8 months

1/02 - 11/07 Expansion 71 months

12/07 - 6/09 Recession 19 months

7/09 - current Expansion 72 months

16 months of recession in24 years (1982-2007)

49 months of recession in 21 years (1961-1982)

The Great Moderation

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Is the Great Moderation Dead?

• I do not think so….

My interpretation:

Great Moderation refers to the fact that the economy is better at minimizing the impact of any given shock now relative to 30 years ago.

It does not mean that:

There will not be bad shocksThere will not be “new” shocks

Why? The economy is more flexible (inventory management, credit)We have gotten better at conducting macroeconomic policy!

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Foreshadowing the rest of the course

• Assume aggregate demand (drawn in {Y,P} space) slopes down

I will prove this to you later in the course

• Assume short run aggregate supply (drawn in {Y,P} space) slopes up

I will prove this to you later in the courseI will also distinguish between short run and long run aggregate supply

Page 83: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Foreshadowing the Rest of the Course: Demand Shocks

The relationship between inflation and output when aggregate demand shifts:

Suppose we are in long run equilibrium at point (a) (AD = SRAS = LRAS)

Y

Short Run AS

AD

Long Run AS

Y*

P

AD’

a

b

Y’

P’P

If the economy receives a negative aggregate demand shock, short run equilibrium will move from point (a) to point (b). Output will fall (from Y* to Y’). Prices will fall (from P to P’).

Demand shocks cause prices and output to move in the same direction.(You should be able to illustrate a positive demand shock)

Page 84: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Foreshadowing the Rest of the Course: Supply Shocks

The relationship between inflation and output when aggregate supply shifts:

Suppose we are in long run equilibrium at point (a) (AD = SRAS = LRAS)

Y

Short Run AS

AD

Long Run AS

Y*

P

AD’AD’’

a

Y’’

P’’

P

Short Run AS’’

c

If the economy receives a negative short run aggregate supply shock, short run equilibrium will move from point (a) to point (c). Output will fall (from Y* to Y’’). Prices will rise (from P to P’’).

Supply shocks cause prices and output to move in opposite directions.(You should be able to illustrate a positive supply shock)

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85

Business Cycles vs. Long Run Growth

Page 86: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Macroeconomic Goals

Promote Economic Growth

o Minimize uncertainty

o Minimize distortions in the economy (create level playing field)

o Create incentives for efficient economic transactions

o Bottom line: Maximize “trend” growth

Promote Economic Stability

o Keep the unemployment rate low

o Keep inflation in check

o Refer to this as managing “business cycles” – minimize the deviations (cycles) around the trend.

Note: Lower uncertainty leads to greater economic activity

Page 87: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Why We Care About Inflation

Page 88: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Interest Rates

i0,1 = the nominal interest rate between periods 0 and 1

(the nominal return on the asset)

πe0,1 = the expected inflation rate between periods 0 and 1

re0,1 = the expected real interest rate between periods 0 and 1

Definitions

re0,1 = i0,1 - πe

0,1 (or i0,1 = πe0,1 + re

0,1)

ra0,1 = i0,1 - πa

0,1 (or i0,1 = πa0,1 + ra

0,1)

where ra and πa are the actual real interest rate and inflation

Page 89: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Interest Rate Notes

• The Formula given is approximate. The approximation is less accurate the higher the levels of inflation and nominal interest rates. The exact formula is re = (1 + i) / (1 + лe) - 1

• Central Banks are very interested in r since it may affect the savings decisions of households and definitely affects the investment decisions of firms. The press talks about Central Banks setting i, but the Central Banks are really trying to set r.

• 3 easy ways of measuring expected inflation:– Recent actual inflation (see http://www.clev.frb.org).

– Survey of forecasters (see http://www.phil.frb.org/econ/liv/welcom.html).

– Interest rate spread on nominal vs. inflation-indexed securities (WSJ).

• See http://www.phil.frb.org/econ/spf/spfpage.html for other macro forecasts

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Why We Care About Inflation

• Note: We will have a whole lecture on this later in the course

• Inflation is Unpredictable

• Indexing Costs (even if you know the inflation rate - you have to deal with it).

• Menu Costs (have have to go and re-price everything)

• Shoe-Leather Costs (you want to hold less cash - have to go to the bank more often).

• Caveat: There may be some benefits to small inflation rates - more on this later.

Page 91: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Why We Care About Inflation

• An Example of how inflation can affect real returns.

• Suppose we agree that a real rate of 0.05 over the next year is fair. – borrowing rate, salary growth rate, etc.

• Suppose we also agree that expected inflation over the next year is 0.07.

• We should then set the nominal return equal to 0.12 (i = re + лe)

Summary: i = 0.12

re = 0.05

лe = 0.07

Page 92: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Why We Care About Inflation

• Suppose that actual inflation is 0.10 (лa > лe)

In this case, ra = 0.02 (ra = i - лa)

Borrowers/Firms are better off

Lenders/Workers worse off

• Suppose that actual inflation is 0.03 (лa < лe)

In this case, ra = 0.09 (ra = i - лa)

Borrowers/Firms are worse off

Lenders/Workers better off

It has been shown that higher inflation rates are correlated with more variability. People/Firms Don’t Like the Uncertainty

Page 93: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Bonus: Understanding Housing Markets

Page 94: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Average Annual Real Price Growth By US State

State 1980-2000 2000-2007 2000-13 State 1980-2000 2000-2007 2000-2013AK -0.001 0.041 0.015 MT 0.003 0.049 0.016AL 0.000 0.024 -0.001 NC 0.008 0.022 -0.003AR -0.009 0.023 0.001 ND -0.010 0.033 0.021AZ -0.002 0.061 0.001 NE -0.002 0.007 -0.003CA 0.012 0.066 0.013 NH 0.014 0.041 0.007CO 0.012 0.012 0.001 NJ 0.015 0.058 0.013CT 0.012 0.044 0.006 NM -0.002 0.043 0.004DC 0.010 0.081 0.038 NV -0.005 0.060 -0.016DE 0.011 0.053 0.009 NY 0.020 0.051 0.014FL -0.002 0.068 0.005 OH 0.003 -0.001 -0.016GA 0.008 0.019 -0.013 OK -0.019 0.019 0.005HI 0.004 0.074 0.025 OR 0.009 0.051 0.006IA -0.001 0.012 0.001 PA 0.008 0.042 0.010ID -0.001 0.047 0.002 RI 0.017 0.059 0.011IL 0.010 0.030 -0.006 SC 0.007 0.025 -0.001IN 0.002 0.020 -0.010 SD 0.002 0.025 0.009

Average 0.011 0.036 0.00594

Page 95: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Average Annual Real Price Growth By US State

State 1980-2000 2000-2007 2000-13 State 1980-2000 2000-2007 2000-2013AK -0.001 0.041 0.015 MT 0.003 0.049 0.016AL 0.000 0.024 -0.001 NC 0.008 0.022 -0.003AR -0.009 0.023 0.001 ND -0.010 0.033 0.021AZ -0.002 0.061 0.001 NE -0.002 0.007 -0.003CA 0.012 0.066 0.013 NH 0.014 0.041 0.007CO 0.012 0.012 0.001 NJ 0.015 0.058 0.013CT 0.012 0.044 0.006 NM -0.002 0.043 0.004DC 0.010 0.081 0.038 NV -0.005 0.060 -0.016DE 0.011 0.053 0.009 NY 0.020 0.051 0.014FL -0.002 0.068 0.005 OH 0.003 -0.001 -0.016GA 0.008 0.019 -0.013 OK -0.019 0.019 0.005HI 0.004 0.074 0.025 OR 0.009 0.051 0.006IA -0.001 0.012 0.001 PA 0.008 0.042 0.010ID -0.001 0.047 0.002 RI 0.017 0.059 0.011IL 0.010 0.030 -0.006 SC 0.007 0.025 -0.001IN 0.002 0.020 -0.010 SD 0.002 0.025 0.009

Average 0.011 0.036 0.00595

Page 96: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Average Annual Real Price Growth By US State

State 1980-2000 2000-2007 2000-13 State 1980-2000 2000-2007 2000-2013AK -0.001 0.041 0.015 MT 0.003 0.049 0.016AL 0.000 0.024 -0.001 NC 0.008 0.022 -0.003AR -0.009 0.023 0.001 ND -0.010 0.033 0.021AZ -0.002 0.061 0.001 NE -0.002 0.007 -0.003CA 0.012 0.066 0.013 NH 0.014 0.041 0.007CO 0.012 0.012 0.001 NJ 0.015 0.058 0.013CT 0.012 0.044 0.006 NM -0.002 0.043 0.004DC 0.010 0.081 0.038 NV -0.005 0.060 -0.016DE 0.011 0.053 0.009 NY 0.020 0.051 0.014FL -0.002 0.068 0.005 OH 0.003 -0.001 -0.016GA 0.008 0.019 -0.013 OK -0.019 0.019 0.005HI 0.004 0.074 0.025 OR 0.009 0.051 0.006IA -0.001 0.012 0.001 PA 0.008 0.042 0.010ID -0.001 0.047 0.002 RI 0.017 0.059 0.011IL 0.010 0.030 -0.006 SC 0.007 0.025 -0.001IN 0.002 0.020 -0.010 SD 0.002 0.025 0.009

Average 0.011 0.036 0.00596

Page 97: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Average Annual Real Price Growth By US State

State 1980-2000 2000-2007 2000-13 State 1980-2000 2000-2007 2000-2013AK -0.001 0.041 0.015 MT 0.003 0.049 0.016AL 0.000 0.024 -0.001 NC 0.008 0.022 -0.003AR -0.009 0.023 0.001 ND -0.010 0.033 0.021AZ -0.002 0.061 0.001 NE -0.002 0.007 -0.003CA 0.012 0.066 0.013 NH 0.014 0.041 0.007CO 0.012 0.012 0.001 NJ 0.015 0.058 0.013CT 0.012 0.044 0.006 NM -0.002 0.043 0.004DC 0.010 0.081 0.038 NV -0.005 0.060 -0.016DE 0.011 0.053 0.009 NY 0.020 0.051 0.014FL -0.002 0.068 0.005 OH 0.003 -0.001 -0.016GA 0.008 0.019 -0.013 OK -0.019 0.019 0.005HI 0.004 0.074 0.025 OR 0.009 0.051 0.006IA -0.001 0.012 0.001 PA 0.008 0.042 0.010ID -0.001 0.047 0.002 RI 0.017 0.059 0.011IL 0.010 0.030 -0.006 SC 0.007 0.025 -0.001IN 0.002 0.020 -0.010 SD 0.002 0.025 0.009

Average 0.011 0.036 0.00597

Page 98: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Inflation Adjusted Housing Price Growth in the U.S.

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Page 99: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Housing Market: New York

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Page 100: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Typical “Local” Cycle: California

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Page 101: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Typical “Local” Cycle: Nevada

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Page 102: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Average Annual Real Price Growth Across Countries

State 1980-2000 2000-2007 2000-13Belgium 0.021 0.049 0.033Canada 0.007 0.061 0.047

Germany 0.000 -0.018 -0.007Denmark 0.009 0.069 0.013

Spain 0.014 0.094 0.015Finland 0.008 0.059 0.028France 0.011 0.084 0.041

UK 0.026 0.075 0.032Ireland 0.038 0.073 -0.004Italy 0.003 0.052 0.009Japan 0.011 -0.034 -0.025

Luxembourg 0.035 0.073 0.039Norway 0.012 0.043 0.039Sweden -0.006 0.060 0.039S. Africa -0.024 0.112 0.051

USA 0.012 0.048 0.005

Average 0.011 0.056 0.022102

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Equilibrium in Housing Markets

Demand

PH

QH

Fixed Supply

Page 108: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Equilibrium in Housing Markets

Demand

PH

QH

Fixed Supply

PH’

Page 109: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

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Equilibrium in Housing Markets

Demand

PH

QH

Fixed Supply

PH’Supply Eventually Adjusts

PH”

Page 110: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

How Does Supply Adjust?

• Build on Vacant Land

• Convert Rental or Commercial Property

• Build Up

• Build Out (Suburbs)

• Build Way Out (Create New Cities)

• Some of these adjustments can take consider amounts of time.

Caveat: Gentrification/Agglomeration can lead to sustained increases in house prices.

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Page 111: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

Why Do House Prices Cycle?

• Supply and demand forces.

• When demand increases (increasing prices), supply eventually adjusts (build more houses).

• The increase in housing supply moderates price growth.

• Housing supply – in the long run – is very elastic (convert old properties, build on vacant land, create new cities, etc.).

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Page 112: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

U.S Quarterly Housing Starts (in 1,000s)

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Page 113: Fall 2014 Macroeconomics Starring Erik Hurst 1. 2 Total U.S. Non Farm Employment Since 1990 Note: Up through July 2014 (Shaded Years are Recessions)

What We Should Expect

o Housing prices have – for the most part - stabilizing in nominal terms.

o We should expect annual real housing price growth of somewhere in the range of 0% to 3% nominal in the medium run.

o Housing market will not be “rebounding” toward 2006 levels anytime soon.

- Have a glut of existing supply

- No reason to expect a large housing demand shock