Labor Market Friction
Transcript of Labor Market Friction
-
8/9/2019 Labor Market Friction
1/27
The Evolution of US EarningsInequality: 1961 - 2001
Zvi Eckstein and Eva Nagypal
Federal Reserve Bank of Minneapolis Quarterly Review
Vol. 28, No. 2, December 2004, pp. 1029
-
8/9/2019 Labor Market Friction
2/27
Goals
Review of the main evidence on the evolution of
earnings (level and inequality) and employment from
1961 to 2002.
What are the main factors behind the increase in
inequality? Education, Occupation, marketsegmentation: sex , race, occupation, skills. Or
unobserved.
Is it skilled biased technical change?
(others; trade, demographics, unions, Min-W)
Or/and Is it change in the sorting into jobs(occupations)?
-
8/9/2019 Labor Market Friction
3/27
-
8/9/2019 Labor Market Friction
4/27
Outline
Earnings:Growth and Inequality
Education: The Case for Skill-Biased Technical Change
Occupations: Has There Been a Skill Bias?
Regressions: Education, Occupation, or Unobservables?
Labor Supply: AGender Hypothesis?
-
8/9/2019 Labor Market Friction
5/27
Figure 1: Index of compensation and wage and accruals per full-time employee from NIPA,
and index of mean and median wage of full-time full-year workers age 22-65 from CPS
80
100
120
140
160
180
1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
compensation from NIPA
wages and salary accruals from NIPA
mean wage from CPSmedian wage from CPS
-
8/9/2019 Labor Market Friction
6/27
Figure 2: Index of mean / median of real wage of
full-time full-year men / women age 22 - 65
70
100
130
160
190
220
250
1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
women - mean
women - median
men - mean
men - median
90
10 0
11 0
12 0
13 0
1995 1998 2001
women - mean
men - mean
-
8/9/2019 Labor Market Friction
7/27
Figure 3 a ard devia ion of log wages
of full-fime full-yearmen and women age22-65
0.35
0.4
0.45
0.5
0.55
0.6
0.65
0.7
0.75
1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
men
omen
-
8/9/2019 Labor Market Friction
8/27
Figure 4: Index of real wages of full-t ime full-year
men age 22-65 by specific percentiles
60
80
100
120
140
160
180
200
220
1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
perc 90
perc 75
perc 50
perc 25
perc 10
-
8/9/2019 Labor Market Friction
9/27
Figure 5: Index of real wages of full-time full-year
women age22-65 by s ecific percentiles
50
70
90
110
130
150
170
1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
pe c 90
pe c 75
pe c 50
pe c 25
pe c 10
-
8/9/2019 Labor Market Friction
10/27
Figure 6: Index of mean of re al wages of
full-time full-year men age 22 - 65 by education group
80
100
120
140
160
180
200
220
240
1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999 2002
PGCG
SC
HSG
HSD
-
8/9/2019 Labor Market Friction
11/27
Figure 7: Index ofmean of real wage of
full-time full-year women age22 - 65 by education group
80
100
120
140
160
180
200
220
240
1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999 2002
-
8/9/2019 Labor Market Friction
12/27
Figure 8: Educational composition of employed men age 22-65
0%
10%
20%
30%
40%
50%
1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003
HSD
HSGSC
CG
PG
-
8/9/2019 Labor Market Friction
13/27
Figure 9: Educational composition ofemployed women age22-65
0%
10%
20%
30%
40%
50%
1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003
-
8/9/2019 Labor Market Friction
14/27
Figure 10a: Occupational composition of male full-t ime full-year worke rs
0%
10%
20%
30%
40%
50%
60%
1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
professional
white collar
blue collar
-
8/9/2019 Labor Market Friction
15/27
Figure 10b: Occupational composition of female full -time full-year workers
0%
10%
20%
30%
40%
50%
60%
70%
1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
professional
white collar
blue collar
-
8/9/2019 Labor Market Friction
16/27
Figure 11: Mean wages by occupation groups for men
90
100
110
120
130
140
150
1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
professional
white collar
blue collar
-
8/9/2019 Labor Market Friction
17/27
Figure12: Mean wages by occupation groups for women
80
90
100
110
120
130
140
150
160
1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
p o essona
h e co a
b ue c o a
-
8/9/2019 Labor Market Friction
18/27
Figure 13: Coefficient on educational dummies in the Mincerian wage regre ssion for men
with and without the inclusion of occupation dummies
-40%
-20%
0%
20%
40%
60%
80%
100%
1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999
PC
PC with occ
CG
CG with occ
SC
SC with occ
HSD
HSD with occ
-
8/9/2019 Labor Market Friction
19/27
Figure 14: Coefficient on educational dummies in the Mincerian wage regre ssion for women with and without the
inclusion of occupation dummies
-40%
-20%
0%
20%
40%
60%
80%
100%
1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999
PC
PC with occ
CG
CG with occ
SC
SC with occ
HSD
HSD with occ
-
8/9/2019 Labor Market Friction
20/27
Figure 15: Coefficient on experience in the Mincerian wage regression
with and without the inclusion of occupation dummies
0%
1%
2%
3%
4%
5%
6%
1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999
Men
Men with occ
Women
Women with occ
-
8/9/2019 Labor Market Friction
21/27
Figure 16: Coeff icient on occupation dummies in the Mincerian wage regre ssion
-10%
0%
10%
20%
30%
40%
50%
1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000
Professional men
Professional women
White collar men
White collar women
-
8/9/2019 Labor Market Friction
22/27
Figure17: Standard deviation of residuals fromMincerian wage regression
with and without the inclusion of occupation dummies
0.3
0.35
0.4
0.45
0.5
0.55
0.6
0.65
1963 1966 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999
Menomen
Men h occ
omen h occ
-
8/9/2019 Labor Market Friction
23/27
Figure18: Labor force participation (left axis)and unemployment rate (right axis)
ofmen and women age22-65
0%
20%
40%
60%
80%
100%
1962 1965 1968 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
men pa c pa on
omen pa c pa on
men unemp oymen
omen unemp oymen
-
8/9/2019 Labor Market Friction
24/27
Figure 19: Labor force participation rate of men age 22-65
by educational group
60%
65%
70%
75%
80%
85%
90%
95%
100%
1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003
PG
CG
SC
HSG
HSD
-
8/9/2019 Labor Market Friction
25/27
Figure 20: Labor force participation rate of women age 22-65
by educational group
30%
40%
50%
60%
70%
80%
90%
100%
1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003
PG
CGSC
HSG
HSD
-
8/9/2019 Labor Market Friction
26/27
Conclusions
Inequality startedto increase for menin 1974 and forwomenin 1981, and for both genders inequality continued
to increase throughout 2002.
Duringthe same periodthat earnings inequality increased,
the wage premium of college graduates overnon-college
workers increased substantially, andthe premium of
postgraduate workers increased even more.
The ratio of college educated workers to non-college
workers also increased from 1961 to 2002 -Two main facts
that motivate the SBTC.NEW: a. Mostimportantgroup contributingto the increase
inthe college wage premium - postgraduate workers;
NEW: b. Increase inthe proportion of postgraduate workers
started earlierandthe share stabilized since the early 90s.
-
8/9/2019 Labor Market Friction
27/27
SBTC? Occupations.
After some increase inthe 70s, the employment
share ofthe different occupations for men have stayed
roughly constant from 1983 to 2001, share of professional 30%)
The occupational composition changed much more markedly for
women.
The wage premium of professional workers over blue collarworkers continuously rose duringthe same periodthatinequality
increased.
The evolution ofthe standarddeviation of log wages andthat of
the standarddeviation ofthe conditional errorterm from the OLS
regression have exactly the same shape. Overthe last 40 years - dramatic change inthe composition of
the labor force by gender (not only education). Canthe SBTC
hypothesis explainthe change inthe gender composition?
Services sector restaurants andday cares?? Lee and Wolpin.