Cite as: M. Myck, M. Najsztub; 2015; Data and model cross-validation to improve accuracy of microsimulation results: Estimates for the polish household budget survey; International Journal of Microsimulation; 8(1); 33–66. doi: 10.34196/ijm.00111
Abstract
We conduct detailed analysis of the Polish Household Budget Survey data for the years 2006–2011 with the focus on its representativeness from the point of view of microsimulation analysis. We find important discrepancies between the aggregate data weighted with baseline grossing-up weights and official statistics from other sources. A number of re-weighting exercises is examined from the point of view of the accuracy of microsimulation results. We show that using a combination of variables from the data together with a small number of outcomes from the microsimulation model substantially improves the correspondence of simulation results and administrative data. While demographic re-weighting is neutral from the point of view of income distribution, calibrating the weights to adjust for income sources and tax identifiers significantly increases income inequality. We specify a number of factors which ought to be considered in the choice of weight calibration targets. Data re-weighting can substantially improve the accuracy of microsimulation but it should be used with caution.
This article contains 6 figures and 10 tables.
Figures
Figure 1. Population age structure in baseline PHBS and demographic CSO statistics: 2006–2011.Figure 2. Macrovalidation results: Selected tax and benefit outcomes using different weights (S0, S1, S2, S3): 2006, 2007 and 2008 relative to administrative data.Figure 3. Macrovalidation results: selected tax and benefit outcomes using different weights (S0, S1, S2, S3): 2009, 2010 and 2011 relative to administrative dataFigure 4. Mean square relative distance measure using different weights (S0, S1, S2, S3).Figure 5. Inequality levels using different weights (S0, S1, S2, S3).Figure 6. Macrovalidation results: Selected tax and benefit outcomes using different weights (S0, S1, S3, S3+JTax): 2011 relative to administrative data.
Tables
Table 1. PHBS sample summary for years 2005–2011.
YEAR
2006
2007
2008
2009
2010
2011
Number of HH
37,508
37,366
37,358
37,302
37,412
37,375
Number of individuals
114,311
111,992
109,819
108,038
107,967
107,239
Place of residence
Town over 500 k
11,187
11,262
10,890
10,427
10,633
10,787
Town over 200 k
9,097
8,721
8,670
8,704
8,471
8,284
Town over 100 k
7,949
7,820
7,101
6,700
6,617
6,981
Town over 20 k
19,137
18,022
17,930
17,493
16,917
17,004
Town up to 20 k
11,675
11,957
11,401
11,568
12,516
12,076
village
55,266
54,210
53,827
53,146
52,813
52,170
Gender
Adult male
40,749
40,006
39,552
39,359
39,614
39,491
Adult female
46,258
45,665
45,160
44,817
44,943
44,825
Children (< 18 years old)
27,304
26,321
25,107
23,862
23,410
22,923
Labour market status
Is employed
44,625
45,903
46,074
44,734
44,144
43,719
Is self-employed
13,017
12,476
11,833
11,607
10,771
10,274
Education
higher
10,311
10,832
11,488
12,267
13,778
14,529
secondary
29,980
29,882
29,518
29,279
28,347
28,182
primary
56,402
54,215
52,509
50,765
50,108
48,873
Mean age (sample)
36.49
36.88
37.54
38.03
38.22
38.55
Mean HH size (sample)
3.05
3.00
2.94
2.90
2.89
2.87
Source: PHBS data 2006–2011, unweighted sample statistics.
Table 2. PHBS and external statistics: Socio-demographics for years 2006–2011 using baseline CSO weights.
2006
2007
2008
2009
2010
2011
Population
37.661
37.665
37.679
37.678
37.687
37.683
External
38.132
38.116
38.116
38.154
38.187
38.512
Relative to external:
0.988
0.988
0.989
0.988
0.987
0.987
Age (mean)
37.102
37.161
37.363
37.486
37.577
37.734
Household size (mean)
2.828
2.828
2.829
2.829
2.830
2.829
Residence size (inhabitants):
Towns > 200k
8.094
8.110
8.133
8.133
7.926
7.895
Relative to external:
1.015
1.021
1.026
1.016
1.003
1.001
Towns < 200k
3.061
3.075
2.910
2.908
2.926
3.032
Relative to external:
1.001
1.009
0.956
0.957
0.963
1.009
Towns < 100k
7.467
7.202
7.377
7.304
7.044
7.187
Relative to external:
1.008
0.975
0.996
0.988
0.951
0.956
Towns < 20k
4.590
4.830
4.802
4.974
5.331
5.120
Relative to external:
0.931
0.979
0.977
1.009
1.084
1.029
Rural
14.449
14.448
14.457
14.457
14.460
14.449
Relative to external:
0.979
0.988
0.989
0.988
0.987
0.978
Education
Primary
17.919
17.558
17.311
17.009
16.777
16.498
Relative to external:
1.103
1.101
1.106
1.107
1.113
1.097
Secondary
10.340
10.349
10.451
10.443
10.073
9.995
Relative to external:
0.943
0.941
0.938
0.934
0.901
0.945
Higher
3.766
3.985
4.228
4.517
5.068
5.328
Relative to external:
0.742
0.729
0.733
0.744
0.791
0.936
Source: SIMPL model based on PHBS data 2006–2011 and external statistics (see endnote 2 for sources), weighted with baseline weights. Absolute values in millions.
Table 3. PHBS and external statistics: Income data for years 2006–2011 using baseline CSO weights.
2006
2007
2008
2009
2010
2011
Employment type and farmers:
Employed
14.492
15.216
15.606
15.369
15.224
15.141
Relative to external:
1.126
1.154
1.138
1.116
1.101
1.096
Self-employed
3.787
3.710
3.570
3.571
3.357
3.223
Relative to external:
0.986
0.973
0.908
0.915
0.861
0.830
Farmers
2.415
2.277
2.140
2.067
1.818
1.715
Relative to external:
1.314
1.239
1.164
1.125
0.989
0.914
Temporary employment
0.682
0.594
0.564
0.521
0.463
0.412
Relative to external:
1.921
1.621
1.491
1.299
1.041
0.810
SSC benefit recipients:
6.096
6.151
6.457
6.634
6.545
6.501
Retirement pension
1.038
1.023
1.043
1.040
1.030
1.033
Relative to external:
1.980
1.824
1.690
1.545
1.450
1.398
Disability pension
1.048
1.021
1.009
0.986
0.967
0.972
Relative to external:
1.198
1.149
1.060
1.047
1.039
1.023
Family pension
0.862
0.826
0.763
0.754
0.747
0.735
Relative to external:
0.452
0.370
0.234
0.147
0.157
0.146
Pre-retirement pension
0.990
1.005
0.914
0.891
1.030
0.981
Relative to external:
0.287
0.234
0.187
0.304
0.295
0.245
Unemployment benefit
0.867
0.884
0.830
0.909
0.855
0.793
Relative to external:
6.096
6.151
6.457
6.634
6.545
6.501
Source: SIMPL model based on PHBS data 2006–2011 and external statistics (see endnote 2 for sources), weighted with baseline weights. Absolute values in millions.
Table 4. PHBS and external statistics: SIMPL output macrovalidation for years 2006–2011 with baseline CSO weights.
2006
2007
2008
2009
2010
2011
Contributions and taxes, headcount
Retirement and disability SSC
12.343
13.165
13.641
13.592
13.691
13.682
relative to external
1.036
1.100
1.105
1.076
1.069
1.063
Health Insurance:
20.041
20.644
21.206
21.146
21.158
21.121
relative to external
0.978
0.996
1.005
0.985
0.950
0.946
- permanent employment
10.108
10.980
11.569
11.382
11.539
11.639
relative to external
1.095
1.177
1.208
1.182
1.199
1.199
- self-employment
1.351
1.414
1.420
1.497
1.536
1.503
relative to external
0.926
0.904
0.861
0.885
0.881
0.833
Personal income tax (PIT)
21.791
22.312
22.657
22.569
22.495
22.433
relative to external
0.974
0.974
0.978
0.974
0.966
0.972
- permanent employment
8.015
8.618
9.115
8.767
8.460
6.881
relative to external
1.324
1.344
1.357
1.315
1.304
1.019
- self-employment
0.728
0.769
0.821
0.804
0.793
0.452
relative to external
2.931
3.141
3.398
2.780
2.441
1.310
Child Tax Credit
-
6.869
7.357
7.299
7.461
7.352
relative to external
-
1.142
1.157
1.163
1.187
1.168
Benefit recipient, headcount
Family Allowance (FA)
6.047
4.896
4.021
3.674
3.319
3.238
relative to external
1.316
1.148
1.067
1.108
1.105
1.170
FA supplements:
- large families (SLF)
1.582
1.374
1.222
1.092
0.964
0.645
relative to external
2.041
1.944
1.941
1.953
1.910
1.396
- starting school (SSS)
4.156
3.340
2.629
2.348
2.978
2.918
relative to external
1.300
1.107
1.089
0.980
1.395
1.440
- child birth (SCB)
0.232
0.219
0.176
0.158
0.156
0.154
relative to external
0.906
0.983
0.822
0.810
0.857
0.960
- education of disabled child (SEDC)
0.230
0.196
0.176
0.162
0.151
0.163
relative to external
0.999
0.897
0.866
0.871
0.874
1.006
Source: SIMPL model based on PHBS data 2006–2011 and external statistics (see endnote 2 for sources), weighted with baseline weights. Absolute values in millions.
Table 5. Summary of calibration targets.
System
Target variables
Description
S0
–
Baseline weights
S1
Household size
6 groups by household size (1, 2, 3, 4, 5, 6+);
Place of residence
2 groups: rural or urban;
Age
16 groups by 5 year threshold;
S2:
S1 + recipients of 7 income sources (as declared in PHBS)
employee: permanent and temporary; self employment; pensions: pre-retirement, retirement, disability and family pensions; unemployment benefit;
S3:
S1 + recipients of 2 income sources: (as declared in PHBS) + SIMPL output:
all pensions; unemployment benefit; number of contributors to: Personal Income Tax; Health Insurance on permanent employment; Health Insurance on self-employment;
Table 6. PHBS and external statistics: Ratios of income sources (headcount) by weight calibration for 2006–2011.
Income source and weights
2006
2007
2008
2009
2010
2011
Permanent employment
S0
1.159
1.196
1.194
1.183
1.200
1.198
S1
1.222
1.261
1.267
1.264
1.273
1.271
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
1.085
1.062
1.030
1.034
1.036
1.031
Temporary employment
S0
1.921
1.621
1.491
1.299
1.041
0.810
S1
1.971
1.647
1.498
1.267
1.009
0.792
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
3.483
3.759
3.691
3.389
2.690
2.097
Self employment
S0
0.702
0.729
0.693
0.739
0.758
0.746
S1
0.706
0.733
0.699
0.749
0.770
0.770
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
0.779
0.839
0.830
0.860
0.887
0.922
Farmer
S0
1.314
1.239
1.164
1.125
0.989
0.914
S1
1.392
1.333
1.253
1.220
1.071
1.001
S2
1.678
1.715
1.646
1.590
1.475
1.326
S3
1.471
1.472
1.433
1.458
1.230
1.161
Retirement pension
S0
1.038
1.023
1.043
1.040
1.030
1.033
S1
1.071
1.077
1.092
1.085
1.086
1.085
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
1.053
1.061
1.069
1.063
1.067
1.071
Disability pension
S0
1.048
1.021
1.009
0.986
0.967
0.972
S1
1.050
1.034
1.025
1.020
0.995
1.011
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
1.007
0.999
1.012
1.013
0.992
0.998
Family pension
S0
0.862
0.826
0.763
0.754
0.747
0.735
S1
0.849
0.817
0.739
0.722
0.728
0.715
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
0.806
0.763
0.709
0.724
0.709
0.698
Pre-retirement pension
S0
0.990
1.005
0.914
0.891
1.030
0.981
S1
0.936
0.963
0.889
0.881
1.046
1.009
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
0.902
0.921
0.882
0.818
1.038
0.936
Unemployment benefit
S0
0.867
0.884
0.830
0.909
0.855
0.793
S1
0.880
0.900
0.845
0.952
0.886
0.812
S2
1.000
1.000
1.000
1.000
1.000
1.000
S3
1.000
1.000
1.000
1.000
1.000
1.000
Source: PHBS data 2006–2011 and external statistics (see endnote 2 for sources), weighted with baseline (S0) and calibrated (S1–S3) weights.
Table 7. PHBS and external statistics: Ratios of contributions and taxes (amount) in SIMPL by weight calibration for 2006–2011.
Simulation output and weights
2006
2007
2008
2009
2010
2011
Social security contribution (SSC)
S0
1.041
1.042
1.049
1.061
1.114
1.092
S1
1.089
1.085
1.102
1.122
1.167
1.145
S2
0.959
0.930
0.944
0.962
0.977
0.974
S3
1.009
0.955
0.955
0.966
1.007
0.989
Health insurance contributions (HI)
S0
0.954
0.937
0.945
0.940
0.937
0.913
S1
0.985
0.971
0.985
0.985
0.977
0.952
S2
0.899
0.865
0.873
0.872
0.852
0.839
S3
0.922
0.873
0.878
0.876
0.869
0.851
Personal Income Tax (PIT)
S0
0.917
0.901
0.843
0.812
0.882
0.849
S1
0.920
0.926
0.869
0.854
0.922
0.892
S2
0.919
0.923
0.844
0.816
0.872
0.843
S3
0.875
0.866
0.808
0.775
0.844
0.818
Child Tax Credit (in PIT)
S0
–
1.214
1.241
1.262
1.299
1.278
S1
–
1.092
1.133
1.135
1.168
1.159
S2
–
1.059
1.070
1.063
1.073
1.071
S3
–
1.008
1.011
1.020
1.040
1.040
Source: PHBS data 2006–2011 and external statistics (see endnote 2 for sources), weighted with baseline (S0) and calibrated (S1–S3) weights.
Table 8. PHBS and external statistics: Ratios of Family Benefits (amount) in SIMPL by weight calibration for 2006–2011.
Simulation output and weights
2006
2007
2008
2009
2010
2011
Family Allowance (FA)
S0
1.319
1.154
1.072
1.124
1.112
1.174
S1
1.149
0.988
0.835
0.873
0.843
0.872
S2
1.174
1.045
0.960
1.024
1.004
1.059
S3
1.164
1.049
0.976
0.999
1.023
1.062
Family Allowance supplements:
- large families (SLF)
S0
1.425
1.344
1.344
1.359
1.346
1.397
S1
1.162
1.093
0.841
0.848
0.781
0.779
S2
1.032
0.960
0.891
0.895
1.005
0.910
S3
1.003
0.949
0.937
1.026
0.901
0.935
- starting school (SSS)
S0
1.216
1.107
1.089
0.980
1.395
1.441
S1
1.045
0.931
0.831
0.747
0.710
0.701
S2
1.069
0.980
0.956
0.879
0.833
0.856
S3
1.062
0.983
0.971
0.850
0.859
0.864
- child birth (SCB)
S0
1.024
0.984
0.822
0.810
0.857
0.960
S1
0.935
0.883
0.665
0.657
0.680
0.741
S2
0.964
0.913
0.727
0.756
0.803
0.858
S3
1.004
0.963
0.793
0.790
0.780
0.814
- education of disabled child (SEDC)
S0
1.063
0.904
0.862
0.874
0.866
1.009
S1
0.919
0.758
0.671
0.681
0.669
0.702
S2
1.020
0.849
0.790
0.828
0.825
0.885
S3
1.039
0.904
0.890
0.838
0.864
0.982
Child Birth Allowance (CBA):
S0
1.119
1.067
1.037
1.069
1.070
1.112
S1
0.891
0.939
0.951
0.949
0.934
0.957
S2
0.908
0.966
0.955
0.970
0.932
0.964
S3
0.947
1.028
1.072
1.053
1.036
1.038
Source: PHBS data 2006–2011 and external statistics, weighted with baseline (S0) and calibrated (S1–S3) weights.
Table 9. Elements of tax and benefit used as performance measures.
Abbreviation
Full name
Taxes and contributions
SSC
Social Security Contributions
HI
Health Insurance contributions
PIT
Personal Income Tax
CTC
Child Tax Credit (within PIT)
Family Benefits:
FA
Family Allowance
SCB
FA Supplement for Child Birth
SEDC
FA Supplement for Education and Rehabilitation of Disabled Child
SLF
FA Supplement for Large Families
SSS
FA School Starting Supplement
CBA
Child Birth Allowance
Table 10. Minimum and maximum ratios of calibrated to baseline weights for calibration stages S1, S2 and S3.
S1
S2
S3
Max.
Min.
s.d.
Max.
Min.
s.d.
Max.
Min.
s.d.
2006
2.00
0.80
(0.29)
5.26
0.28
(0.43)
5.92
0.52
(0.44)
2007
2.00
0.80
(0.32)
4.69
0.33
(0.47)
3.96
0.15
(0.55)
2008
4.41
0.25
(0.28)
4.78
0.14
(0.49)
4.49
0.23
(0.62)
2009
2.45
0.44
(0.29)
2.62
0.23
(0.47)
5.72
0.38
(0.62)
2010
3.39
0.23
(0.28)
4.01
0.73
(0.62)
4.69
0.46
(0.70)
2011
3.04
0.17
(0.28)
3.75
0.40
(0.48)
3.16
0.15
(0.62)
2.00
0.80
(0.29)
5.26
0.28
(0.43)
5.92
0.52
(0.44)
Source: Authors’ calculations using PHBS data 2006–2011 and external statistics (see endnote 2 for sources), weighted with baseline (S0) and calibrated (S1–S3) weights. Standard deviation in brackets.