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Working beyond the normal retirement age in urban China and urban Russia

Open Access
|May 2021

Figures & Tables

Figure 1

(A) Proportion of population aged 65+. (B) Proportion of population aged 15–64.Source: International Labour Organization, ILOSTAT database. (https:/data.worldbank.org/indicator/SP.POP.1564.TO.ZS)
(A) Proportion of population aged 65+. (B) Proportion of population aged 15–64.Source: International Labour Organization, ILOSTAT database. (https:/data.worldbank.org/indicator/SP.POP.1564.TO.ZS)

Figure 2

GDP per capita in China and Russia in constant Purchasing Power Parity (PPP).Note: GDP per capita and Purchasing Power Parity (PPP) are expressed in constant 2017 international dollars.Source: World Bank, International Comparison Program database. (http://data.worldbank.org/indicator/NY.GDP.PCAP.PP.KD)
GDP per capita in China and Russia in constant Purchasing Power Parity (PPP).Note: GDP per capita and Purchasing Power Parity (PPP) are expressed in constant 2017 international dollars.Source: World Bank, International Comparison Program database. (http://data.worldbank.org/indicator/NY.GDP.PCAP.PP.KD)

Figure 3

Life expectancy at birth in China and Russia, 1975–2018.Source: World Bank, International Comparison Program database. (http://data.worldbank.org/indicator/SP.DYN.LE00.IN?)
Life expectancy at birth in China and Russia, 1975–2018.Source: World Bank, International Comparison Program database. (http://data.worldbank.org/indicator/SP.DYN.LE00.IN?)

Figure 4

Quintile regression coefficients on age from earnings equations by percentiles.Note: The estimates are from the specifications available in Table 4a.Source: Authors’ estimates from the CHIP and RLMS. CHIP, China Household Income Project; RLMS, Russian Longitudinal Monitoring Survey
Quintile regression coefficients on age from earnings equations by percentiles.Note: The estimates are from the specifications available in Table 4a.Source: Authors’ estimates from the CHIP and RLMS. CHIP, China Household Income Project; RLMS, Russian Longitudinal Monitoring Survey

Estimates of employment probabilities for older people in urban China and urban Russia

China 2002China 2013China 2018Russia 2002Russia 2013Russia 2018
Gender (male omitted)Female−0.53** (0.230)−0.77*** (0.123)−1.03*** (0.091)−0.56*** (0.158)−0.11 (0.119)−0.165 (0.142)

Household structure (all other living arrangements omitted)Living alone1.09** (0.451)−0.30 (0.534)0.49** (0.217)0.62** (0.288)−0.43 (0.273)−0.15 (0.162)
Couples0.63*** (0.443)0.89*** (0.101)0.52*** (0.099)0.27** (0.105)0.26** (0.104)0.29*** (0.139)

Age (55/60–70 omitted)70–75−1.46*** (0.301)−1.98*** (0.204)−2.13*** (0.176)−1.78*** (0.217)−1.88*** (0.143)−1.28*** (0.218)

Education (lower education omitted)Upper middle1.68*** (0.305)0.141* (0.134)0.02 (0.095)0.60** (0.240)1.27*** (0.311)0.06 (0.208)
Polytechnic2.29*** (0.317)0.69*** (0.228)0.47*** (0.141)0.91*** (0.179)1.57*** (0.299)0.42** (0.201)
Higher2.49*** (0.326)0.061*** (0.176)0.96*** (0.155)1.54*** (0.301)1.60*** (0.327)0.89*** (0.204)

City size (small omitted)Large1.26*** (0.167)0.88*** (0.215)0.35** (0.167)0.66*** (0.156)0.01 (0.117)1.44*** (0.275)
Middle0.27 (0.255)−0.18 (0.191)0.18** (0.088)0.71*** (0.248)−0.05 (0.166)1.06*** (0.285)

Health status (healthy omitted)Relatively healthy (not good and not bad)−0.31 (0.258)−0.75*** (0.117)−0.34*** (0.090)−0.83*** (0.263)−0.55*** (0.156)−1.63*** (0.236)
Not healthy−1.58*** (0.403)−0.96*** (0.234)−1.15*** (0.177)−1.60*** (0.291)−1.54*** (0.184)−0.57*** (0.187)

Log of pension−0.087*** (0.022)−0.030*** (0.009)−0.048*** (0.0028)−0.046*** (0.0028)−0.032*** (0.0024)−1.46*** (0.179)

Yearly working hours/1000.03*** (0.000)0.03*** (0.000)0.02*** (0.000)

Rate of migrants in the city−0.03* (0.015)−0.01** (0.005)−0.02*** (0.003)

Constant−2.50*** (0.358)−0.85** (0.1779)−0.06 (0.123)−0.90* (0.507)−1.54*** (0.427)12.308*** (2.109)

Number of observations2,4063,3406,8851,5823,1741,749

Pseudo R20.21560.12940.23520.17490.17300.1178

Parsimonious specification

China 2002China 2013China 2018Russia 2002Russia 2013Russia 2018
Gender (male omitted)Female−0.29*** (0.029)−0.40*** (0.040)−0.51*** (0.032)−0.344*** (0.051)−0.272*** (0.030)−0.26*** (0.034)

Age (40/45–55/60 omitted)55/60–70−1.44*** (0.054)−1.60*** (0.057)−1.68*** (0.046)−0.151*** (0.051)−0.326*** (0.031)−0.30*** (0.037)
70–75−2.92*** (0.143)−2.83*** (0.110)−3.20*** (0.095)−0.422*** (0.125)−0.781*** (0.105)−0.62*** (0.120)

Education (lower education omitted)Upper middle0.31*** (0.061)0.06 (0.065)0.04 (0.051)0.085 (0.095)0.112** (0.049)0.06 (0.052)
Polytechnic0.78*** (0.064)0.65*** (0.091)0.45*** (0.077)0.518*** (0.093)0.227*** (0.049)0.12** (0.052)
Higher1.14*** (0.082)0.96*** (0.074)1.13*** (0.057)0.248*** (0.093)0.570*** (0.050)0.38*** (0.052)

Constant8.83*** (0.061)9.77*** (0.065)9.98*** (0.053)8.785 (0.163)9.797 (0.066)10.23*** (0.086)

R20.2670.3410.3520.1020.1780.145

Number of observations4,9774,3107,5741,1822,5421,675

Employment rates for older people in urban China and urban Russia in 2002, 2013, and 2018 (%)

China 2002China 2013China 2018Russia 2002Russia 2013Russia 2018
GenderFemale5.479.4810.3715.5723.9325.97
Male5.4712.8215.4620.3721.9824.36

Living arrangementsLiving alone12.706.1013.5810.6219.9922.68
Couples6.8214.8416.9216.8918.5723.51
All other living arrangements4.639.3810.7519.9828.2128.21

Age55/60–706.9614.4116.7427.4135.4829.84
70–751.392.402.771.975.217.87

EducationLow1.9210.5912.756.3410.0117.35
Upper middle6.1311.5611.9816.7525.8522.75
Polytechnic8.586.307.8034.8025.0525.59
Higher13.9711.4715.8220.3032.7132.55

City sizeLarge14.724.936.3719.3124.3127.03
Middle5.169.1914.9514.0123.0224.38
Small4.6212.7112.2811.2319.0017.39

Health statusHealthy (good and very good)7.5515.6516.3223.0043.6542.67
Not good, not bad5.057.349.6332.9728.4328.78
Not healthy (bad and very bad)1.425.154.955.298.9711.16

Employment rate by quantiles of pensions (from low to high)First11.0219.1732.3610.6129.6935.46
Second3.1720.4719.9220.5526.4927.68
Third4.0918.8513.6725.4919.8826.65
Fourth3.655.903.849.1715.7811.57

Employment rate among elderly respondents5.4710.8112.4216.8823.4025.51

Extended specification

China 2002China 2013China 2018Russia 2002Russia 2013Russia 2018
Gender (male omitted)Female−0.14*** (0.027)−0.26*** (0.038)−0.34*** (0.028)−0.394*** (0.050)−0.237*** (0.032)−0.215*** (0.035)

Age (40/45–55/60 omitted)55/60–70−0.99*** (0.052)−1.03*** (0.057)−0.90*** (0.047)−0.111** (0.052)−0.284*** (0.030)−0.272*** (0.036)
70–75−2.33*** (0.132)−1.90*** (0.109)−1.11*** (0.180)−0.404*** (0.130)−0.713*** (0.095)−0.547*** (0.115)

Education (lower educa­tion omitted)Upper middle0.21*** (0.056)0.02 (0.060)0.13*** (0.047)0.093 (0.091)0.099** (0.047)0.058 (0.050)
Polytechnic0.44*** (0.060)0.40*** (0.087)0.48*** (0.069)0.347*** (0.097)0.183*** (0.047)0.093** (0.040)
Higher0.68*** (0.073)0.58*** (0.073)0.87*** (0.057)0.164* (0.091)0.455*** (0.052)0.368*** (0.062)

Constant 8.25*** (0.059)8.78*** (0.074)9.72*** (0.071)8.860 (0.176)9.684 (0.080)10.127*** (0.098)

R2 0.3960.4360.3050.14290.25570.2255

Observations 4,9774,3106,5311,1822,5421,675

Older people in urban China and urban Russia in 2002, 2013, and 2018 by characteristics

China 2002China 2013China 2018Russia 2002Russia 2013Russia 2018
Gender, %Female59.260.259.872.772.973.5
Male40.839.840.227.327.126.5

Living arrangements, %Living alone2.62.53.923.322.727.6
Couples28.627.425.229.930.626.8
All other living arrangements68.870.070.946.846.745.7

Age, %55/60–7073.269.969.158.660.160.3
70–7526.830.131.041.439.939.8

Education, %Low36.935.231.640.225.114.2
Upper middle39.746.053.119.119.323.7
Polytechnic17.87.54.920.131.133.2
Higher5.611.310.520.724.628.9

City size, %Large6.715.512.158.257.650.5
Middle30.419.432.134.033.533.1
Small62.965.055.97.89.016.4

Health status, %Healthy (good and very good)42.344.950.35.38.06.7
Not good, not bad40.242.937.457.459.960.7
Not healthy (bad and very bad)17.512.212.337.432.132.3

PensionsPercentage with a pension, %74.687.397.399.596.699.0
Ln pension (in local currency, and 2013 prices), mean value9.39.79.78.59.311.8

Number of elderly respondents242434046885159132333240
Language: English
Accepted on: Apr 19, 2021
Published on: May 31, 2021
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2021 Björn Gustafsson, Ludmila Nivorozhkina, Haiyuan Wan, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.