Decomposing lifetime income inequality
Peter Haan (DIW Berlin and Free University Berlin) Daniel Kemptner (DIW Berlin) Victoria Prowse (Department of Economics, Purdue)
1 / 1
Decomposing lifetime income inequality Peter Haan (DIW Berlin and - - PowerPoint PPT Presentation
Decomposing lifetime income inequality Peter Haan (DIW Berlin and Free University Berlin) Daniel Kemptner (DIW Berlin) Victoria Prowse (Department of Economics, Purdue) 1 / 1 Introduction Inequality of annual income has been studied extensively
1 / 1
2 / 1
3 / 1
1
2
4 / 1
5 / 1
6 / 1
7 / 1
8 / 1
9 / 1
1
2
3
10 / 1
11 / 1
j=1 ρj = 1
12 / 1
13 / 1
i,t = Λ
1 + φ j 21(Educi ≥ 12) + φ j 3Healthi,t+ 6
k=4
k1(Agei,t ≥ [50+ (k −4) ×5])
14 / 1
i,t) ×1(Edi < 12) +
i,t) ×1(Edi ≥ 12) + ψ6Healthi,t + ηi
15 / 1
16 / 1
{c,l}∈D(st){U(c,l,εi,t) + βEtVt+1(si,t+1)},
17 / 1
18 / 1
19 / 1
10,000 20,000 Annual labor earnings tax (euros) 10,000 30,000 50,000 70,000 Annual labor earnings (euros) .1 .2 .3 Average tax rate 10,000 30,000 50,000 70,000 Annual labor earnings (euros)
20 / 1
1
2
3
21 / 1
.05 .1 Probability of a bad health shock 20 40 60 78 Age (years) Educ<12 Educ≥12 .2 .4 Probability of a good health shock 20 40 60 78 Age (years) Educ<12 Educ≥12
22 / 1
Estimate Standard error Panel I: Utility function α1 (Weight on utility from consumption and leisure) 3.498 0.0827 α2 (Disutility of employment) 0.380 0.0082 Panel II: Wage equation η1 (Intercept for productive type 1) 2.083 0.0112 η2 (Intercept for productive type 2) 1.733 0.0112 η3 (Intercept for productive type 3) 1.342 0.0113 ψ1 (Educ/10) 0.532 0.0067 ψ2 (Exper/10×1(Educ<12)) 0.230 0.0055 ψ3 (Exper/10×1(Educ≥12)) 0.277 0.0058 ψ4 (Exper2/100×1(Educ<12))
0.0012 ψ5 (Exper2/100×1(Educ≥12))
0.0013 ψ6 (Health) 0.009 0.0040 Panel III: Productive abilty type probabilities ρ1 (Fraction of productive ability type 1) 0.287 0.0095 ρ2 (Fraction of productive ability type 2) 0.466 0.0108
23 / 1
.5 .75 1 Employment rate 20 40 60 Age (years) .25 .5 Nonemployment rate 20 40 60 Age (years) 5 10 15 20 Average wage (euros per hour) 20 40 60 Age (years) 75,000 150,000 Median wealth (euros) 20 40 60 Age (years)
24 / 1
.03 .06 .09 Density 25 50 Wage (Euros per hour) Observed Predicted .03 .06 .09 Density 25 50 Wage (Euros per hour) Observed Predicted
25 / 1
.00002 .00004 Density 25000 50000 75000 Average annual labor earnings (Euros) Observed Predicted .00002 .00004 Density 25000 50000 75000 Average annual labor earnings (Euros) Observed Predicted
26 / 1
27 / 1
1
2
3
28 / 1
29 / 1
30 / 1
31 / 1
32 / 1
1
2
3
33 / 1
34 / 1
35 / 1
36 / 1
37 / 1
38 / 1