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POLARIZATION OF TIME AND INCOME – 
A MULTIDIMENSIONAL APPROACH WITH 
WELL-BEING GAP AND MINIMUM 
2DGAP: GERMAN EVIDENCE 
JOACHIM MERZ & BETTINA SCHERG 
33rd General IARIW conference – Rotterdam, 
Session 5: Time and Well-Being 
August 28, 2014 
Presentation by: Lars Osberg 
Dalhousie University
Methodology Challenge: merge 2 Literatures 
Polarization + Multi-Dimensional Well-Being 
• “Polarization”? – but rich & poor have different problems 
• “Erosion of Middle Class” is the real issue 
• Why worry? Unknown implications of declining % society inhabiting a 
common social space, dealing with shared social reality 
• “Multi-Dimensional”? – but can’t market work convert time 
into Gary Becker’s “Full Income”? 
• “Full income” values all time @ marginal hour – misstates utility 
implications of (Income, Leisure) combinations 
• M&S: suggest & estimate CES indifference curves 
• Trends in Germany 1991/92 to 2001/02 ? 
• German Socio-Economic Panel (GSOEP) + German Time Use 
Survey (GTUS)
“Both” Criteria or “Either” or “Enough of” 
Intersection Approach Compensation Approach 
(Weak Focus) 
Union Approach 
(Strong Focus) 
2 x 2 x 2 x 
2 z 
1z 
2 z 
1z 
2 z 
1 x 1 x 1 x 
1z 
Multidimensional Poverty 
zj unidimensional poverty lines (j=1,2) 
Source: own figure 
Multidimensional POVERTY - Identification
Multidimensional AFFLUENCE: Identification 
Intersection Approach Compensation Approach 
(Weak Focus) 
Union Approach 
(Strong Focus) 
2 x 2 x 2 x 
r1 r1 r1 
1 
r2 r2 r2 
1 x 1 x 1 x 
(d) (e) (f) 
Multidimensional Affluence 
Multidimensional Multidimensional Poverty Affluence 
rj unidimensional affluence lines (j=1,2) 
Source: own figure
Multidimensional POLARIZATION - Identification 
Multidimensional Isopolarization Contours (a.k.a. “Indifference Curves”) 
- Compensation Approach (Weak Focus) in the Two-Dimensional Case 
Source: own illustration, CES indifference curves of our application 
Affluence 
Poverty
Aggregated CES multidimensional poverty line 
       
Aggregated CES multidimensional affluence line 
       
ij x quantity of person in dimension 
 
 
 
 
 
dimension parameter for dimension 
substitution parameter 
returns to scale 
constant 
j 
i j 
w j 
 
 
 
z 1  1  2  2  V w z w z 
 
    
  
    r 1 1 2 2 V w r w r 
 
    
 
Multidimensional Polarization: Minimum 2DGAP 
r 
2 
r 
2 
x 
v2 
p2 
r 
1 x 
Minimum 2DGAP: 
c = Min. Distance Source: own (x, 1figure 
x) to IMD-Line, a = 2D xcontribution, b = 2D xcontribution 
21 2 slope of c = orthogonal slope of IMD-Line 
• 
• 
• 
a 
b 
x1 p1 
x2 
v1 
• 
• 
• 
• 
• 
• 
c 
• 
p 
r 
1 
p 
a 
c 
b 
b 
Multidimensional 
Polarization 
Compensation 
Approach (Weak Focus) 
• 
Affluence 
• 
Poverty 
• 
•
Minimum 2DGAP 
Aggregation and Mean Minimum Polarization 2DGAP 
Mean minimum polarization 2DGAP: 
1 1 n n 
    
C c c 
i i 
n n   
poor i poor rich i rich
Which time matters for well-being? 
“Genuine personal leisure time” 
final personal time available after all commitments 
(market work + home production + commuting + personal care) 
German Time Use Survey 1991/92 and 2001/02 
- codes: Social life, conversation and entertainment, 
participation at sport activities, hobbies and games, mass 
media 
• Persons twelve years (1991/92) / ten years (2001/02) 
and older, German population in private households 
surveyed four times the year 
Analysis restricted to “Economically Active” 
LO: life-cycle ? students, “housewives” & retired ??
Time & Income: CES Subjective Well-Being Function 
CES estimation by a log Taylor expansion following Kmenta 1967 
    1 2 
V    w I   w L   w  w I  L  
ln ln ln 1 ln 1 ln ln 
2 
OLS estimation: LHS = Self-reported life satisfaction (11 point Likert Scale); 
  
0,108 
3,550 0,519 0,297 0,481 0,297 0,297 i i i V    I  L 
I  
Net Equivalence Income in Euro per month 
L  
Genunie Leisure Time in Minutes per day 
CES Econometrics (GSOEP 2002) : 
Substitution elasticity (curvature):  1/(1) 1.422 
(  0, complementary Leontief ,  1, Cobb Douglas,   , perfect substitution) 
Hicks’ elasticity of substitution: relative change in the proportion of the two attributes with respect to the relative change of 
the corresponding marginal rate of substitution, measuring the “easyness” of substitution.
Empirical Analyses – Poverty & Affluence Lines 
1991/92 2001/02 
Income Poverty Line 
(= 60% Median Net Equivalence Household Income) 
665.78 793.55 € 
Time Poverty Line 
(= 60% Median Individual Genuine Personal Leisure Time) 
159 186 min 
Well-Being Poor Vpoor = f(Ipoor, Lpoor) 6.704 6.827 
Income Affluence Line 
(= 150% Median Net Equivalence Household Income) 
1,664.46 1,983.97 € 
Time Affluence Line 
(= 150% Median Individual Genuine Personal Leisure Time) 
397.50 465 min 
Well-Being Rich Vrich = f(Irich, Lrich) 7.402 7.538 
Source: own calculations with GTUS 1991/92 and 2001/02 using statistical software Stata, all individuals included 
for the calculation of median Net Equivalence Income (1991/92: n_hh=6774; 2001/02: n_hh=5144), persons older 
eleven years included for the calculation of median Personal Leisure Time (1991/92: n=30732; 2001/02: n=34060)
Headcount Ratios in Different Poverty Regimes - 
Germany 1991/92 and 2001/02 
600 
500 
400 
300 
200 
100 
0 
IMDP Line 
P4: 1.2% 
P2: 1.0% 
P1: 2.3% 
1991/92 
Income Poverty Line 
P6: 31.5% 
Time Poverty Line 
P5: 54.7% 
P3: 9.3% 
0 200 400 600 800 1000 1200 1400 1600 
Net Equivalence Income (in Euro per month and prices 2002) 
Genuine Leisure Time (in minutes per day) 
P1 + P2 + P3 = Multi-dimensionally Poor 
1991/92 = 12.6% 
2001/02 = 12.2% 
600 
500 
400 
300 
200 
100 
0 
2001/02 
IMDP Line 
P4: 1.3% 
P2: 1.0% 
P1: 2.5% 
Income Poverty Line 
P6: 50.3% 
Time Poverty Line 
P5: 36.2% 
P3: 8.7% 
0 200 400 600 800 1000 1200 1400 1600 
Net Equivalence Income (in Euro per month and prices 2002) 
Genuine Leisure Time (in minutes per day) 
Nil Change in multi-dimensional Poverty= 0.4% 
But big change in P5 [% time poor but income compensates] (54.7%→ 36.2%)
Affluence Headcount Ratios: Germany 1991/92 & 2001/02 
700 
600 
500 
400 
300 
200 
IMDA: 8.11% IMDA: 5.47% 
700 
600 
500 
400 
300 
200 
Very Few “Time Rich” = R1 + R2 + R5 = 2.2% → 1.6% 
(unsurprising – economically active AND more than 6.6→7.5 hours daily personal time ??) 
R1 + R2 + R3 = Multi-dimensional RICH 
1991/92; IMDA = 8.1% 
2001/02: IMDA = 5.5 % 
Change at TOP = - 2.6 % 
100 
800 1000 1200 1400 1600 1800 2000 2200 2400 
Net Equivalence Income (in Euro per month and prices 2002) 
Genuine Leisure Time (in minutes per day) 
100 
1000 1200 1400 1600 1800 2000 2200 2400 2600 
Net Equivalence Income (in Euro per month and prices 2002) 
Genuine Leisure Time (in minutes per day) 
IMDA Line 
R5: 1.63% 
Income Affluence Line 
R1: 0.49% 
Time Affluence Line 
R6: 72% 
1991/92 
R3: 7.50% 
R4: 18.26% 
IMDA Line 
R5: 1.14% 
R6: 73.17% 
2001/02 
Income Affluence Line 
R1: 0.37% 
Time Affluence Line 
R3: 5.06% 
R4: 20.22% 
R2: 0.12% R2: 0.04%
Declining Polarization? 
Multidimensional 
Headcount Ratios 
1991/92 2001/02 
Index Index Ratio Diff. Test1 
• “Middle Class” Head-Count Ratio 
• “Middle Class” = 1- [Multi-Dimensional “Poor” + Multi-Dimensional “Rich” ] 
• 1991/92 = 1 – [0.126 + 0.081] = 0.793 
• 2001/02 = 1 – [0.122 + 0. 055] = 0.823 
1991/92 
=100 
p-values 
Multidimensional 
IMD2 poor 12.55 12.16 97 0.425 
Headcount 
Ratio 
rich 8.11 
5.47 67 0.000 
*** 
poor & 
rich 
20.66 
17.63 85 0.000 ***
Increasing Polarization ? – Mean Minimum 
Multidimensional Polarization Gap (2DGAP) 
2DGAP: Mean Minimum 2DGAP c 2DGAP: Mean Minimum Income 
2DGAP a 
(in €) 
2DGAP: Mean Minimum 
Time 2DGAP b 
(in minutes per day) 
1991 2001 Index 
1991 
=100 
Diff 
test 
1991 2001 Index 
1991 
=100 
Diff 
test 
1991 2001 Index 
1991 
=100 
Diff. 
test 
2DGAP c increases 
significantly 
2DGAP income component 
increases significantly 
2DGAP time component 
increases significantly 
Total 141.30 167.23 118 *** 29.27 38.56 132 *** 135.98 159.89 118 *** 
Poor P1 106.48 152.21 143 *** 50.52 72.09 143 *** 92.85 133.11 144 *** 
P2 56.32 74.75 133 * 35.51 46.67 131 43.19 57.82 134 * 
P3 34.54 44.10 128 *** 7.64 10.71 140 *** 33.58 42.66 127 *** 
IMD 49.38 68.50 139 *** 17.72 26.11 147 *** 45.11 62.20 138 *** 
Strongest polarization 
intensity: in the intersection 
of time as well as income. 
Rich R1 188.66 204.65 108 36.26 40.30 111 183.98 199.59 108 
R2 39.79 95.74 241 * 16.30 46.04 282 * 36.27 83.92 231 * 
R3 86.42 90.96 105 9.85 9.76 99 85.63 90.30 105 
IMD 91.92 98.73 107 11.55 12.09 107 90.87 97.69 108 
P3: not compensated time 
deficit even by above 
poverty income: significant 
increase 
Source: own calculations with GTUS 1991/92 and 2001/02, active population
Overall: 1991/92 to 2001/02 
• Multidimensional polarization headcount ratios: 
significant decrease 
• Multidimensional polarization well-being gap: 
slight decrease 
• Minimum multidimensional polarization 2DGAP intensity: 
significant increase
Multidimensional Polarization in Socio-Economic Groups 
Selected Results: 
• different growth for gender, age, education, the family structure and West 
vs. East Germany. 
• Self-employed - more often affected by income, time and multidimensional 
IMD polarization 
• IMD polarization headcount ratios for couples with two and more kids and 
for single parents with kids (2DGAP c) are high and increasing with more 
kids. 
• Policy concern and attribute transparency (2DGAP): Group specific findings 
are important for group specific policies. 
• …
LO: Remaining Questions 
• “Time Poverty” and “Time Affluence” 
• Are relative criteria (60% median & 150% median) taken from 
income poverty literature necessarily appropriate? 
• Restriction to “economically active” of all ages implies non-random 
sample selection (especially if <25 or >65) 
• How to interpret Student/Retired or “Child Care Years” Life Cycle 
Phases & well-being implications ? 
• The “declining middle class” is the reason we care about 
“polarization” – so why not measure it directly ? 
• Does % population in common shared [income, time] social space 
predict political participation, voluntary activity, civil society?

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Plenary session 5 5. osberg polarization of time and income a multidimensional (1)

  • 1. POLARIZATION OF TIME AND INCOME – A MULTIDIMENSIONAL APPROACH WITH WELL-BEING GAP AND MINIMUM 2DGAP: GERMAN EVIDENCE JOACHIM MERZ & BETTINA SCHERG 33rd General IARIW conference – Rotterdam, Session 5: Time and Well-Being August 28, 2014 Presentation by: Lars Osberg Dalhousie University
  • 2. Methodology Challenge: merge 2 Literatures Polarization + Multi-Dimensional Well-Being • “Polarization”? – but rich & poor have different problems • “Erosion of Middle Class” is the real issue • Why worry? Unknown implications of declining % society inhabiting a common social space, dealing with shared social reality • “Multi-Dimensional”? – but can’t market work convert time into Gary Becker’s “Full Income”? • “Full income” values all time @ marginal hour – misstates utility implications of (Income, Leisure) combinations • M&S: suggest & estimate CES indifference curves • Trends in Germany 1991/92 to 2001/02 ? • German Socio-Economic Panel (GSOEP) + German Time Use Survey (GTUS)
  • 3. “Both” Criteria or “Either” or “Enough of” Intersection Approach Compensation Approach (Weak Focus) Union Approach (Strong Focus) 2 x 2 x 2 x 2 z 1z 2 z 1z 2 z 1 x 1 x 1 x 1z Multidimensional Poverty zj unidimensional poverty lines (j=1,2) Source: own figure Multidimensional POVERTY - Identification
  • 4. Multidimensional AFFLUENCE: Identification Intersection Approach Compensation Approach (Weak Focus) Union Approach (Strong Focus) 2 x 2 x 2 x r1 r1 r1 1 r2 r2 r2 1 x 1 x 1 x (d) (e) (f) Multidimensional Affluence Multidimensional Multidimensional Poverty Affluence rj unidimensional affluence lines (j=1,2) Source: own figure
  • 5. Multidimensional POLARIZATION - Identification Multidimensional Isopolarization Contours (a.k.a. “Indifference Curves”) - Compensation Approach (Weak Focus) in the Two-Dimensional Case Source: own illustration, CES indifference curves of our application Affluence Poverty
  • 6. Aggregated CES multidimensional poverty line        Aggregated CES multidimensional affluence line        ij x quantity of person in dimension      dimension parameter for dimension substitution parameter returns to scale constant j i j w j    z 1  1  2  2  V w z w z            r 1 1 2 2 V w r w r       
  • 7. Multidimensional Polarization: Minimum 2DGAP r 2 r 2 x v2 p2 r 1 x Minimum 2DGAP: c = Min. Distance Source: own (x, 1figure x) to IMD-Line, a = 2D xcontribution, b = 2D xcontribution 21 2 slope of c = orthogonal slope of IMD-Line • • • a b x1 p1 x2 v1 • • • • • • c • p r 1 p a c b b Multidimensional Polarization Compensation Approach (Weak Focus) • Affluence • Poverty • •
  • 8. Minimum 2DGAP Aggregation and Mean Minimum Polarization 2DGAP Mean minimum polarization 2DGAP: 1 1 n n     C c c i i n n   poor i poor rich i rich
  • 9. Which time matters for well-being? “Genuine personal leisure time” final personal time available after all commitments (market work + home production + commuting + personal care) German Time Use Survey 1991/92 and 2001/02 - codes: Social life, conversation and entertainment, participation at sport activities, hobbies and games, mass media • Persons twelve years (1991/92) / ten years (2001/02) and older, German population in private households surveyed four times the year Analysis restricted to “Economically Active” LO: life-cycle ? students, “housewives” & retired ??
  • 10. Time & Income: CES Subjective Well-Being Function CES estimation by a log Taylor expansion following Kmenta 1967     1 2 V    w I   w L   w  w I  L  ln ln ln 1 ln 1 ln ln 2 OLS estimation: LHS = Self-reported life satisfaction (11 point Likert Scale);   0,108 3,550 0,519 0,297 0,481 0,297 0,297 i i i V    I  L I  Net Equivalence Income in Euro per month L  Genunie Leisure Time in Minutes per day CES Econometrics (GSOEP 2002) : Substitution elasticity (curvature):  1/(1) 1.422 (  0, complementary Leontief ,  1, Cobb Douglas,   , perfect substitution) Hicks’ elasticity of substitution: relative change in the proportion of the two attributes with respect to the relative change of the corresponding marginal rate of substitution, measuring the “easyness” of substitution.
  • 11. Empirical Analyses – Poverty & Affluence Lines 1991/92 2001/02 Income Poverty Line (= 60% Median Net Equivalence Household Income) 665.78 793.55 € Time Poverty Line (= 60% Median Individual Genuine Personal Leisure Time) 159 186 min Well-Being Poor Vpoor = f(Ipoor, Lpoor) 6.704 6.827 Income Affluence Line (= 150% Median Net Equivalence Household Income) 1,664.46 1,983.97 € Time Affluence Line (= 150% Median Individual Genuine Personal Leisure Time) 397.50 465 min Well-Being Rich Vrich = f(Irich, Lrich) 7.402 7.538 Source: own calculations with GTUS 1991/92 and 2001/02 using statistical software Stata, all individuals included for the calculation of median Net Equivalence Income (1991/92: n_hh=6774; 2001/02: n_hh=5144), persons older eleven years included for the calculation of median Personal Leisure Time (1991/92: n=30732; 2001/02: n=34060)
  • 12. Headcount Ratios in Different Poverty Regimes - Germany 1991/92 and 2001/02 600 500 400 300 200 100 0 IMDP Line P4: 1.2% P2: 1.0% P1: 2.3% 1991/92 Income Poverty Line P6: 31.5% Time Poverty Line P5: 54.7% P3: 9.3% 0 200 400 600 800 1000 1200 1400 1600 Net Equivalence Income (in Euro per month and prices 2002) Genuine Leisure Time (in minutes per day) P1 + P2 + P3 = Multi-dimensionally Poor 1991/92 = 12.6% 2001/02 = 12.2% 600 500 400 300 200 100 0 2001/02 IMDP Line P4: 1.3% P2: 1.0% P1: 2.5% Income Poverty Line P6: 50.3% Time Poverty Line P5: 36.2% P3: 8.7% 0 200 400 600 800 1000 1200 1400 1600 Net Equivalence Income (in Euro per month and prices 2002) Genuine Leisure Time (in minutes per day) Nil Change in multi-dimensional Poverty= 0.4% But big change in P5 [% time poor but income compensates] (54.7%→ 36.2%)
  • 13. Affluence Headcount Ratios: Germany 1991/92 & 2001/02 700 600 500 400 300 200 IMDA: 8.11% IMDA: 5.47% 700 600 500 400 300 200 Very Few “Time Rich” = R1 + R2 + R5 = 2.2% → 1.6% (unsurprising – economically active AND more than 6.6→7.5 hours daily personal time ??) R1 + R2 + R3 = Multi-dimensional RICH 1991/92; IMDA = 8.1% 2001/02: IMDA = 5.5 % Change at TOP = - 2.6 % 100 800 1000 1200 1400 1600 1800 2000 2200 2400 Net Equivalence Income (in Euro per month and prices 2002) Genuine Leisure Time (in minutes per day) 100 1000 1200 1400 1600 1800 2000 2200 2400 2600 Net Equivalence Income (in Euro per month and prices 2002) Genuine Leisure Time (in minutes per day) IMDA Line R5: 1.63% Income Affluence Line R1: 0.49% Time Affluence Line R6: 72% 1991/92 R3: 7.50% R4: 18.26% IMDA Line R5: 1.14% R6: 73.17% 2001/02 Income Affluence Line R1: 0.37% Time Affluence Line R3: 5.06% R4: 20.22% R2: 0.12% R2: 0.04%
  • 14. Declining Polarization? Multidimensional Headcount Ratios 1991/92 2001/02 Index Index Ratio Diff. Test1 • “Middle Class” Head-Count Ratio • “Middle Class” = 1- [Multi-Dimensional “Poor” + Multi-Dimensional “Rich” ] • 1991/92 = 1 – [0.126 + 0.081] = 0.793 • 2001/02 = 1 – [0.122 + 0. 055] = 0.823 1991/92 =100 p-values Multidimensional IMD2 poor 12.55 12.16 97 0.425 Headcount Ratio rich 8.11 5.47 67 0.000 *** poor & rich 20.66 17.63 85 0.000 ***
  • 15. Increasing Polarization ? – Mean Minimum Multidimensional Polarization Gap (2DGAP) 2DGAP: Mean Minimum 2DGAP c 2DGAP: Mean Minimum Income 2DGAP a (in €) 2DGAP: Mean Minimum Time 2DGAP b (in minutes per day) 1991 2001 Index 1991 =100 Diff test 1991 2001 Index 1991 =100 Diff test 1991 2001 Index 1991 =100 Diff. test 2DGAP c increases significantly 2DGAP income component increases significantly 2DGAP time component increases significantly Total 141.30 167.23 118 *** 29.27 38.56 132 *** 135.98 159.89 118 *** Poor P1 106.48 152.21 143 *** 50.52 72.09 143 *** 92.85 133.11 144 *** P2 56.32 74.75 133 * 35.51 46.67 131 43.19 57.82 134 * P3 34.54 44.10 128 *** 7.64 10.71 140 *** 33.58 42.66 127 *** IMD 49.38 68.50 139 *** 17.72 26.11 147 *** 45.11 62.20 138 *** Strongest polarization intensity: in the intersection of time as well as income. Rich R1 188.66 204.65 108 36.26 40.30 111 183.98 199.59 108 R2 39.79 95.74 241 * 16.30 46.04 282 * 36.27 83.92 231 * R3 86.42 90.96 105 9.85 9.76 99 85.63 90.30 105 IMD 91.92 98.73 107 11.55 12.09 107 90.87 97.69 108 P3: not compensated time deficit even by above poverty income: significant increase Source: own calculations with GTUS 1991/92 and 2001/02, active population
  • 16. Overall: 1991/92 to 2001/02 • Multidimensional polarization headcount ratios: significant decrease • Multidimensional polarization well-being gap: slight decrease • Minimum multidimensional polarization 2DGAP intensity: significant increase
  • 17. Multidimensional Polarization in Socio-Economic Groups Selected Results: • different growth for gender, age, education, the family structure and West vs. East Germany. • Self-employed - more often affected by income, time and multidimensional IMD polarization • IMD polarization headcount ratios for couples with two and more kids and for single parents with kids (2DGAP c) are high and increasing with more kids. • Policy concern and attribute transparency (2DGAP): Group specific findings are important for group specific policies. • …
  • 18. LO: Remaining Questions • “Time Poverty” and “Time Affluence” • Are relative criteria (60% median & 150% median) taken from income poverty literature necessarily appropriate? • Restriction to “economically active” of all ages implies non-random sample selection (especially if <25 or >65) • How to interpret Student/Retired or “Child Care Years” Life Cycle Phases & well-being implications ? • The “declining middle class” is the reason we care about “polarization” – so why not measure it directly ? • Does % population in common shared [income, time] social space predict political participation, voluntary activity, civil society?