U.S. Wages and Salaries, A Decomposition of Wage and Industry Effects: 1978, 1988, - PowerPoint PPT Presentation

1 / 56
About This Presentation
Title:

U.S. Wages and Salaries, A Decomposition of Wage and Industry Effects: 1978, 1988,

Description:

Per Worker and Per Capita Payments and Growth in U.S.: 1978, 1988, and 1998 ... Theil, Henri. Economics and Information Theory. Chicago,: Rand McNally, 1967. ... – PowerPoint PPT presentation

Number of Views:148
Avg rating:3.0/5.0
Slides: 57
Provided by: stephe71
Category:

less

Transcript and Presenter's Notes

Title: U.S. Wages and Salaries, A Decomposition of Wage and Industry Effects: 1978, 1988,


1
U.S. Wages and Salaries, A Decomposition of
Wage and Industry Effects 1978, 1988, 1998
  • Stephen Cooke8 October 2004 Dept. of Ag .
    Resource Ec. SeminarUC Berkeley

2
Summary Slide
  • Problem Definition
  • Literature review
  • The Theory
  • Results and Interpretation
  • Summary and Conclusions

3
Problem Definition
4
Per Worker and Per Capita Payments and Growth in
U.S. 1978, 1988, and 1998 (cpi 1998100)
5
Per Worker and Per Capita Payments and Growth in
U.S. 1978, 1988, and 1998 (cpi 1998100)
6
Per Worker Wages and Salaries in U.S. 1978,
1998, and 1998 (cpi 1998100)
7
Table Determining the Source of Lower Wages
8
Interpreting the Wage Industry Effects
  • Wage effect
  • Movement of high quality factors toward or away
    from a region
  • Solow (convergence)
  • Romer Lucas (divergence)
  • Industry effect
  • Movement of high value industries toward or away
    from a region
  • Heckscher-Ohlin (convergence)
  • Krugman (divergence)

9
Growth and Trade Policies
  • If wage effect is negative, then
  • Increase investment in physical and human
    capital, e.g., education and technology
  • Primary factors policies (labor vs capital?)
  • If industry effect is negative, then
  • Increase competitive advantage by improving local
    resources and institutions
  • Place policies (urban vs rural?)

10
Literature Review
11
Hamermesh, Daniel S. and Grant, James.
  • "Econometric Studies of Labor-Labor Substitution
    and Their Implications for Policy." Journal of
    Human Resources, 1979, 14(4), pp. 518-42.
  • Physical and human capital are complements and
    are jointly substitutable with raw labor.
  • Future research should concentrate on
    substitution among workers

12
Bluestone, Barry and Harrison, Bennett
  • "The Growth of Low-Wage Employment 1963-86."
    American Economic Review., 1988, 78(2 (May)), pp.
    124-28.
  • The data suggest a rising low-wage share and
    growing wage polarization, at least after 1979.
  • The decline in unionization
  • The erosion in the real value of the minimum wage
  • The widespread existence of wage concession
    bargaining
  • Two-tier wage structures in a number of large
    industries.
  • The growing business practice of "outsourcing" to
    achieve lower labor costs
  • The secular shift of capital from directly
    productive to overtly speculative investment

13
Krueger, Alan B. and Summers, Lawrence H.
  • "Efficiency Wages and the Inter-Industry Wage
    Structure." Econometrica Journal of the
    Econometric Society, 1988, 56(2), pp. 259-93.
  • Empirically tests and rejects classical
    competitive theories of wage determination by
    examining differences in wages for equally
    skilled workers across industries.
  • These findings suggest that workers in high wage
    industries receive noncompetitive rents.

14
Bound, John and Johnson, George
  • "Changes in the Structure of Wages in the 1980's
    An Evaluation of Alternative Explanations."
    American Economic Review, 1992, 82(3), pp.
    371-91.
  • During the 1980's, there were large changes in
    the structure of relative wages, most notably a
    huge increase in the relative wages of highly
    educated workers.
  • Our conclusion is that their major cause was a
    shift in the skill structure of labor demand
    brought about by biased technological change

15
DiNardo, John Fortin, Nicole M. and Lemieux,
Thomas.
  • "Labor Market Institutions and the Distribution
    of Wages, 1973-1992 A Semiparametric Approach."
    Econometrica Journal of the Econometric Society,
    1996, 64(5), pp. 1001-44.
  • de-unionization and supply and demand shocks were
    important factors in explaining the rise in wage
    inequality from 1979 to 1988.
  • The decline in the real value of the minimum wage
    explains a substantial proportion of this
    increase in wage inequality, particularly for
    women.

16
Valletta, Robert G.
  • "Effects of Industry Employment Shifts on U.S.
    Wage Structure,1979-1995." Federal Reserve Bank
    of San Francisco Economic Review, 1997, 1, pp.
    16-32.
  • Earlier analyses revealed that average earnings
    are lower, and earnings inequality is higher for
    service-producing workers than for
    goods-producing workers.
  • During the period 19791995 the results show at
    most a small effect of industry employment shifts
    on growing inequality in male hourly earnings.

17
Calmon, Paulo Du Pin Conceicao, Pedro
Galbraith, James K. Cantu, Vidal Garza and
Hibert, Abel.
  • "The Evolution of Industrial Earnings Inequality
    in Mexico and Brazil." Rev Development Economics,
    2000, 4(2), pp. 194-203.
  • Mexico and Brazil show increases in wage
    dispersion over time, and a strong negative
    correlation is found with the rate of real
    economic growth.

18
The Theory
19
Hanna and LaCroix Wage and Industry Indices
20
Hanna and La Croix Wage Indices
21
Contradictory Results
  • For both Hanna and La Croix indices
  • (Wage index)( Industry index) Total index
  • Hanna total index La Croix total index
  • However
  • Hanna wage index ? La Croix wage index
  • Hanna industry index ? La Croix industry index
  • Sometimes they are contradictory!
  • Needed a consistent and defensible wage index

22
Avg. wages as a function ofavg. sector wages
23
Wage index derivation
  • Assume a continuous, twice-differentiable,
    concave quadratic average wage function in which
    the regions industrial structure is constantW
    ?i(ai0 ai1wi - ai2wi2)
  • This functional form implies that skilled and
    less skilled labor are imperfect substitutes in
    all industries.
  • Then apply a second-order Taylor series expansion
    to Wf(wi)
  • Adapt Shepherd's lemma in which the 1st
    derivative of a logarithmic Cobb-Douglas cost
    function equals the factor share
  • Diewerts quadratic lemma the geometric mean of
    two 1st order approximations equals a second
    order measure

24
Wage decomposition equation andthe Theil
inequality index (T)
  • Total effect wage effect industry effect

W avg. overall wage/job w avg. sector wage/job
s share sectors wage bill u industry effect
i sector time 0..1
Theil inequality index (T)
25
Wage and Industry Effects as Substitution and
Output Effects
E0E1 Total effect () E0A Wage Effect () AE1
Industry Effect (-)
26
Change in the Theil Inequality index (overall
between sectors, T and wage effect, TF)
Theil (T) effect industry wage effects
Theil wage effect (TF)
  • w,/W ratio of avg. sector wage per job to
    overall average
  • ni ratio of labor in sector i to overall labor
  • i sectors time 0..1
  • T ?0, log(n)
  • Conceicao Galbraith, 2000, pp. 65, 68

27
Results and Interpretation U.S. Wages and
Salaries
28
U.S. Wages and Salaries (cpi 1998100)
29
U.S. Wage Salaries Wage and Theil Indices 1978
to 1998
30
The Fat Epidemic He says its an illusion
  • Dr. Jeffrey Friedman (Rockefeller U.)
  • Obesity researcher at Howard Hughes Medical
    Institute
  • national data do not show Americans growing
    uniformly fatter (NYT 6/8/04, p. D5)
  • from 1991 to present the lower end of the
    weight distribution, nothing has changed, not
    even by a few pounds only the massively obese,
    the very top of the distribution is there a
    substantial increase in weight, about 25 to 30
    pounds

31
Wage Effects on Avg. Wages
  • An across the board proportionate change in wages
    per job (sign - or ) regardless of the
    distribution

32
Negative Industry Effects Cause a Decrease in the
Mean
  • C. Low value industries that expand (?)(L) ()(
    -)
  • (skewed to the right, ?3 0)
  • D. High value industries that contract (?)(H)
    (-)()

33
(No Transcript)
34
(No Transcript)
35
(No Transcript)
36
(No Transcript)
37
(No Transcript)
38
(No Transcript)
39
Gaussian probability density function
Silverman, B. W. Density Estimation for
Statistics and Data Analysis. 1986
40
(No Transcript)
41
(No Transcript)
42
(No Transcript)
43
(No Transcript)
44
(No Transcript)
45
(No Transcript)
46
(No Transcript)
47
(No Transcript)
48
(No Transcript)
49
(No Transcript)
50
(No Transcript)
51
(No Transcript)
52
Summary and Conclusions
53
Summary
  • I developed a CES average wage function
  • Derived 2nd order approximation using Taylor
    series
  • CES is exact
  • Industry effect seems more important than it is
    because the wage effect has industry effect
    characteristics
  • Technology bias
  • Substitution of skilled for unskilled labor and
    vice versa within industries
  • High skill high wage industries becoming more
    or less socompounds the perception of actual
    industry effect
  • Thiel index shows that the negative industry
    effect can result in greater wage equality and
    conversely for the wage effect

54
Table Determining the Source of Wage Change
55
Growth and Trade Policies
  • If industry effect is negative, then
  • Increase competitive advantage by improving local
    resources and institutions
  • Place policies (urban vs rural?)

56
References
  • Conceicao, Pedro and Galbraith, James K.
    "Constructing Long and Dense Time-Series of
    Inequality Using the Theil Index." Eastern
    Economic Journal, 2000, 26(1), pp. 61.
  • Cooke, Stephen Wage and Industry Effects in
    U.S. Regional Income, 1840 to 1987 A CES Wage
    Index Method J. of Econ. History 63(2003)
    1131-1146.
  • Diewert, W. E., Exact and Superlative Index
    Numbers Journal of Econometrics 4(May)115-45,
    1976.
  • Hanna, Frank. Contribution of Manufacturing
    Wages to Differences in per capita Income.
    Review of Economics and Statistics 33(Feb.
    1951) 18-28.
  • La Croix, Sumner. Economic Integration and
    Convergence A Second Decomposition Method J. of
    Econ. History 59(1999) 773-785.
  • Silverman, B. W. Density Estimation for
    Statistics and Data Analysis. London New York
    Chapman and Hall, 1986.
  • Theil, Henri. Economics and Information Theory.
    Chicago, Rand McNally, 1967.
Write a Comment
User Comments (0)
About PowerShow.com