1. CHAPTER 14 ECONOMIC INSTABILITY GDP, BUSINESS CYCLE, AND FLUCTUATIONS

2. MEASURING THE NATION’S OUTPUT GROSS DOMESTIC PRODUCT (GDP) GDP= the dollar amount of all final goods and services (both private and public) produced within a country’s borders within 1 calendar year. Until the 1930s--no measure for calculating the growth and value of the economy. Nobel Prize winner Simon Kuznets—GNP (Gross National Product). Recently, the GNP has been replaced by the GDP. It is based on data collected by the Bureau of Economic Analysis an agency of the Dept. of Commerce. WORLD RANK (GDP) 2008 2012 IMF 1. European Union $18.3 trillion16.5 2. USA 14.215.7 3. Japan 4.9 5.9 4. China 4.4 8.2 5. Russia 1.2 Germany 3.4

3. COMPUTING THE GDP CALCULATING GDP: Add the prices of all finished goods and services (including agricultural products) produced in a 12 month period. GDP: THE MEASURE OF NATIONAL OUTPUT Anything built in the US even if it is a foreign owned company is counted as part of the GDP. ***Products made in American owned plants in foreign countries are not counted as part of the US GDP. For statistical reasons the data is divided into 3 categories: 1. Goods—manufactured products, agricultural products 2. Services– (ex) haircuts, legal advice, medical care, etc. 3. Structures– (ex) houses, apartments, commercial bldgs. GDP estimates come out quarterly. The real value takes up to 3 years to calculate. Items excluded from the GDP: –Intermediate products –Second-Hand Sales –Non-market Transactions

4. Gross national product (GNP)

5. INTERPRETATION OF THE GDP GDP statistics are both good and bad. The “good”— –An increased GDP indicates more jobs, higher employment, more income. The “bad”— –GDP does not indicate the quality of life. –It does not take into consideration the environmental impact of the growth. –If GDP does not grow it has political implications. Presidents have lost re-elections due to a drop in the GDP. POPULATION GROWTH Why population statistics are important to society: US population: Decennial Census Bureau of the Census: –Trends: family size, regional distribution, age, race

6. THE BUSINESS CYCLE Definition: Phases of the Business Cycle: –RECESSION –TROUGH –EXPANSION (recovery) –PEAK –DEPRESSION –TREND LINE Historic Business Cycles in US: –PANIC 1819 –PANIC 1837 –PANIC OF 1907 –POSTWAR WW1 RECESSION 1921 –“ROARING 20S” –GREAT DEPRESSION 1929-1941 –WARTIME BOOM 1941-1945 –POSTWAR PROSPERITY 1950-1970 –“DOT COM” BOOM 1995-2001 –HOUSING MARKET CRASH 2007 PEAK RECESSION DEPRESSION TREND LINE EXPANSION TROUGH

7. CAUSES OF BUSINESS CYCLES THERE IS NO CERTAIN ANSWER FOR THE CAUSES, BUT THERE ARE MANY THEORIES: 1. CAPITAL EXPENDITURES –IF FUTURE SALES LOOK GOOD--INCREASED INVESTMENT IN CAPITAL GOODS (EQUIPMENT AND FACTORIES). –IF FUTURE SALES LOOK DOWN—INVESTMENT IS PULLED BACK WHICH CAUSES LAY-OFFS IN CAPITAL GOODS MARKET. 2. INVENTORY ADJUSTMENTS –CHANGES IN BUSINESS INVENTORY. –SLIGHTEST SIGN OF A WEAKENING ECONOMY COMPANIES CUT BACK INVENTORY. 3. INNOVATION AND IMITATION –NEW INNOVATION STIMULATES AND CHANGES A MARKET. –ONCE THE INNOVATION BECOMES THE NORM, INVESTMENTS DROP AND AN ECONOMIC SLOWDOWN FOLLOWS 4. EXTERNAL SHOCKS –INCREASE IN OIL PRICES (OPEC), WAR, INTERNATIONAL CONFLICT 5. MONETARY FACTORS –CHANGE IN INTEREST RATES. –DROP IN INTEREST RATES INCREASE BORROWING AND INVESTMENT.—Loose Money Policy by the FED. –INCREASE IN INTEREST RATES DECREASE BORROWING AND INVESTMENT—Tight money policies by the FED

8. PREDICTING BUSINESS CYCLES THERE ARE TWO MODELS USED BY ECONOMISTS TO PREDICT THE BUSINESS CYCLE: 2012 2 nd Qtr. prediction was 2.7 billion increase. The estimate was $2.2 billion. 1. Econometric Models— – A. Macro-economic model. – B. Uses algebraic equations to describe economic behavior. GDP= C+I+G+F C= CONSUMER SPENDING ON GOODS AND SERVICES (groceries, rent, books, cars, clothes, etc) I= BUSINESS INVESTMENT (money spent on capital goods) G= GOVERNMENT SPENDING (defense, social security, interest payment on the debt, health care, roads, education) F= FOREIGN SALES ( exports) – ECONOMISTS THEN COMPARE THEIR MODEL TO THE REAL WORLD AS THE QUARTER UNFOLDS. 2. Index of Leading Indicators – A. These are 9 statistical categories that normally drop before the GDP drops or rise before the GDP rises.

9. PREDICTING THE BUSINESS CYCLE cont’d (INDEX OF LEADING INDICATORS) These indicators (taken as a group) are good at predicting severe downturns. They have also predicted recessions that never happened—1966, 1980s, and 1995. The Index of the 9 Leading Indicators are: 1.-average workweek 2.-initial jobless claims 3.-manufacturers’ new orders for consumer goods. 4.-vendor performance 5.-building permits 6.-level of the S & P Index 7.-inflation adjusted measure of M2 8.-interest rate spread between 10 Yr. Treasury Notes and Fed. Funds rate 9.-expectations portion of Univ. of Michigan’s Consumer Sentiment Index