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Chapter Outline
The Production Function The Demand for Labor The Supply of Labor Labor Market Equilibrium Unemployment Relating Output and Unemployment: Okun’s Law
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The production function describe relationship between inputs and output. Real Output (Y) Inputs: factors of production 生產要素Y = AF(K, N) (3.1)
K = capital: tools, machines, and structures
N = labor: physical and mental efforts of workers
F( . ) reflects the economy’s level of technology
A= “total factor productivity”
(the effectiveness with which capital and labor are used)
44
Table 3.1 The Production Function of the United States, 1979-2007
Assumes constant returns to scale Cobb-Douglas production function works well for U.S. economy:Y = A K0.3 N0.7 (3.2)
Productivity grew slowly in 1980s and the first half of the 1990s, but increased since the mid-1990s.
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Returns to scale: Initially Y1 = AF (K1 , N1 )
Scale all inputs by the same factor z:
K2 = zK1 and N2 = zN1
(e.g., if z = 1.25, then all inputs are increased by 25%)
What happens to output, Y2 = F (K2, N2 )?
If constant returns to scale, Y2 = zY1
If increasing returns to scale, Y2 > zY1
If decreasing returns to scale, Y2 < zY1
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Examples
2 2
2
F K N K N CRS
F K N K N IRS
F K N KN CRS
F K N K N DRS
KF K N CRS
N
( , ) :
( , ) :
( , ) :
( , ) :
( , ) :
7
Diminishing marginal returns: diminishing MPN
Marginal Product of Labor:
Diminishing marginal returns: diminishing MPN
Suppose N while holding K fixed fewer machines per worker lower worker productivity
Marginal Product of Capital:
N
Y YMP
N N
K
Y YMP
K K
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Fig 3.1 The Production Function Relating Output and Capital Fig 3.2 The marginal product of capital
K
Y YMP
K K
99
Youtput
Fig 3.3: MPN ( K fixed ) Diminishing marginal returns
Nlabor
( , )Y AF K L
1
MPN
1
MPN
1MPN
As more labor is added, MPN
Slope of the production function equals MPN
),( NKAFN
Y
N
YMP NN
N
1010
Eg, diminishing MPN Which of these production functions have
diminishing marginal returns to labor?
F K N K Na) 2 15( , )
b) ( , )F K N KN
( , )F K N K Nc) 2 15
1111
Supply shocks
Supply shock = productivity shock = a shift in an economy’s production function (Fig. 3.4)
Supply shocks affect the amount of output that can be produced for a given amount of inputs
Negative (adverse) shock: Usually slope of production function decreases at each level of input (eg, if shock causes parameter A to decline)
Positive shock: Usually slope of production function increases at each level of output (eg, if parameter A increases)
eg, weather, inventions and innovations, government regulations, oil prices
1313
Firm: Profit Optimization Assume: Supply of each factor is fixed. Assume markets are competitive:
each firm takes W, Re, and P as given.
P = price of output, W = nominal wage, Re= nominal rental rate
W /P = real wage (measured in units of output), Re /P= real rental rate
k
N
( , ) Re
K: P MP Re
N: P MP
Max PF K N K WN
FOC wrt
FOC wrt W
1414
Demand for labor
benefit = MPN, cost = real wage
A firm hires each unit of labor if the cost does not exceed the benefit.
MCFOCimizationProfit Max
wP
WW
?P :Y) (
MP ,MPP NN
laborfor Demand :MP
MP
N
N
P
WP
W
1515
Fig 3.5: MPN = Demand for labor
Each firm hires labor up to the point where MPN = W/P.
Each firm hires labor up to the point where MPN = W/P.
Units of output
Units of labor, N
MPN, Labor demand
Real wage
Quantity of labor demanded
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Labor Market: the equilibrium real wageUnits of output
Units of labor, N
MPN, Labor demand
equilibrium real wage
Labor supply
LN
2020
The Supply of Labor
Aggregate supply of labor is the horizontal sum of individuals’ labor supply
Labor supply of individuals depends on consumption-leisure choice
2121
Individual: Utility Optimization The consumption-leisure trade-off
Max U(C, L)St. time constraint: L + h = T budget constraint: C ≦ wh + VU: utility, C: consumption, L: leisure, h: working hours, T: time endowment,
w: real wage rate, V: nonlabor income, w: price of leisure, opportunity cost of leisure Constraint combined: C ≦ w(T-L) + V Trade-off: more h, less L, but more income and more C
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Optimal consumption and leisure ( 參考 )h > 0: working, h=0: not in the LFat point E: corner solution -- indifferent
$1100
$1200A Y
$500 P
U1
$100U0
U*
E
110
110
40
70
0
0
Hours of Work
Hours of Leisure
Consumption ($)
2323
A pure income effect (IE): V↑
Winning a lottery : V↑ A pure income effect:
Demand for normal goods increase: C↑, L↑ Winning the lottery: no SE
because it doesn’t affect the reward for working
L↑=> h↓
2424
An increase in real wages: w↑
An increase in the real wage : w↑ Substitution effect (SE):
w↑: price of leisure ↑
Use cheaper C to substitute more costly L
=> C↑,L↓ => h↑ Income effect (IE):
w↑for same h => income ↑ => C↑,L ↑ => h ↓ w↑total effect: has offsetting IE and SE h ↑ if SE > IE
h ↓ if SE < IE
26
Temporary vs. Permanent increase in wOptimization over time (Ch4)
ISE: intertemporal substitution effect ISE between current C and future C’
ISE between current L and future L’ If temporary w↑: strong ISE + weak IE
ISE > IE => L↓, h ↑ If permanent w↑ : weak ISE + strong IE
ISE < IE => L ↑, h ↓ Empirical evidence support the implication.
2727
Aggregate labor supply
When current real wage risesSome people work more hoursOther people enter labor force
Result: Aggregate labor supply curve slopes upward
2929
Factors that shifts aggregate labor supply
Factors increasing labor supplyDecrease in wealthDecrease in expected future real wageIncrease in working-age population
(higher birth rate, immigration)Increase in labor force participation
(increased female labor participation, elimination of mandatory retirement)
3131
Application:comparing U.S. and European labor markets
Unemployment rates were similar in the U.S. and Europe in 1970s and 1980s,
but are higher in Europe since then (Fig. 3.9) 3 reasons for higher unemployment rates in Europe:
generous unemployment insurance systems,
high tax rates,
government policies that interfere with labor markets
3232
Fig 3.9 Unemployment rates in the U.S. and Europe, 1982-2008
Source: OECD Factbook 2009, Harmonised Unemployment Rates.
3333
Labor Market Equilibrium
Equilibrium: Labor supply equals labor demand Classical model of the labor market:
real wage adjusts quickly Determines full-employment level of employment
and market-clearing real wage Problem with classical model:
can’t study unemployment
3535
Full-employment output
Full-employment output = potential output = level of output when labor market in equilibrium
Yf= AF(K, Nf) (3.4)
An adverse supply shock: A↓
MPN =AFN ↓→ DN↓→ Nf↓ (Fig. 3.11)
Yf ↓ because both A↓and Nf ↓
),( NKAFY
3636
Fig 3.11 Effects of a temporary adverse supply shock on the labor market
Sources: Producer price index for fuels and related products and power from research.stlouisfed.org/fred2/series/PPIENG; GDP deflator from research.stlouisfed.org/fred2/GDPDEF. Data were scaled so that the relative price of energy equals 100 in year 2000.
3737
Application: output, employment, and the real wage during oil price shocks
Sharp oil price increases in 1973–1974, 1979–1980, 2003–2008 (Fig. 3.12) Adverse supply shock—lowers labor demand,
employment, the real wage, and the full-employment level of output
First two cases: U.S. economy entered recessions Research result: 10% increase in price of oil
reduces GDP by 0.4 percentage points
3939
Determination of factor prices (補充)Varian: 19.7-19.9 and Appendix
Factor prices are determined by supply and demand in factor markets.
Assume: Supply of each factor is fixed. Assume markets are competitive:
each firm takes W, Re, and P as given.
( , ) Re
K : Re
N :K
N
Max PF K N K WN
FOC wrt P MP
FOC wrt P MP W
40
Why assuming CRS?Eg, Cobb-Douglas Production Function
A is exogenous, CRS: α+β=1 β=1-α
Each factor’s MP is proportional to its AP.
K
N
YMP AK N
KY
MP AK NN
1 1
(1 ) (1 )
Y AK N AK N1
41
Neoclassical Theory of Distribution: C-D production function in competitive markets
In the competitive market: C-D production function (CRS) constant factor shares:
capital income≡ labor income ≡
= capital’s share of total income1- = labor’s share of total income
Assumes CRS Cobb-Douglas production function works well for U.S. economy: Y = A K0.3 N0.7 (3.2)
Re( ) KP K MP K Y
( ) (1 )WNP N MP N Y
Re( ) , ( )WK NP PMP MP
42
The ratio of labor income to total income in the U.S.
0
0.2
0.4
0.6
0.8
1
1960 1970 1980 1990 2000
Labor’s share of total income
Labor’s share of income is approximately constant over time.
(Hence, capital’s share is, too.)
Labor’s share of income is approximately constant over time.
(Hence, capital’s share is, too.)
43
Taiwan data: labor share (%)薪資報酬佔所得比例
0
20
40
60
80
100
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
年度
%
薪資報酬佔所得比例
44
Neoclassical Theory of Distribution
Proof that
Exhaustion of the product imply zero profits for competitive
firms in the LR. Since π=0 for all periods,
can ignore intertemporal analysis:
profit maximization over-time
Re( ) ( )WN K P PMP N MP N K Y
4747
Duration of Unemployment 失業期間
Duration of unemployment
( length of unemployment spell ) Most unemployment spells are of short duration Most unemployed people on a given date are
experiencing unemployment spells of long duration
4848
3 types of unemployment
Frictional unemployment 摩擦性失業Search activity of firms and workers due to heterogeneity.
Matching process takes time.
Structural unemployment 結構性失業Reallocation of workers (lack of new skill) out of shrinking industries or depressed regions:
matching takes a long time
Cyclical unemployment 景氣性失業
4949
The natural rate of unemployment
The natural rate of unemployment ( )
when output and employment are at full-employment levels
= frictional + structural unemployment Cyclical unemployment:
difference between actual unemployment rate and natural rate of unemployment,
u
uu
u
5050
Okun’s Law:Relating Output and Unemployment Relationship between
output (relative to full-employment output) and cyclical unemployment
(3.5)
Alternative formulation:
if average growth rate of full-employment output is 3%:
Y/Y = 3 – 2 u (3.6)
2( )Y Y
u uY
5151
Fig 3.14 Okun’s Law in the US: 1951-2008
Sources: Real GDP growth rate from Table 1.1.1 from Bureau of Economic Analysis Web site, www.bea.gov/bea/dn/nipaweb. Civilian unemployment rate for all civilian workers from Bureau of Labor Statistics Web site, data.bls.gov.
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2010/10/03 工商時報台灣歐肯係數 四小龍最小 u = a -0.1(Y/Y ) 主計處研究報告 : 現階段我國的歐肯係數約在 0.10 ~ 0.16 之間,
即經濟成長每提升 1% ,只能降低失業率 0.10% ~ 0.16% 。
亞洲四小龍最小,顯示台灣 GDP 成長對改善失業的效果,相對較低 : 金融海嘯前( 97 年第 1 季)台灣的歐肯係數為 0.11 ,
係數低於美、德、英等 14 個先進國家。 97 年第 1 季新加坡的歐肯係數為 0.17 、香港 0.23 、南韓 0.35 。
台灣致力發展高科技產業,雖能創造 GDP ,但由於所能提供的就業機會非常有限。
主計處表示,金融海嘯期間,台灣的實質 GDP 衰退幅度達 10.1 %,台灣的歐肯係數較低,卻也使得台灣在金融海嘯期間失業率上升幅度相對較小。