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Pooling Incomplete Data Sets

  1. Anders Klevmarken  Is a corresponding author
  1. University of Gothenburg, Sweden
Research article
Cite this article as: A. Klevmarken; 2022; Pooling Incomplete Data Sets; International Journal of Microsimulation; 15(1); 31-42. doi: 10.34196/ijm.00248
1 table

Tables

Table 1
Results from seven simulation experiments
γ1γ2γ3γ4γ5γ6
Parameter values3.5940.4000.040-0.000430.644-0.0723
Simulation 1:TSLS
nA288
nB288
Replications800
Relative bias(%)0.42-0.822.421.720.791.36
Relative32.8229.5557.5053.4927.0036.66
Relative sq. root mean
variance estimate (%)33.4630.3056.0053.4927.8338.59
Simulation 2:LS, X2=LDISP known
nA288
Replications400
Relative29.5424.6056.2553.4924.7834.16
Relative sq. root mean
variance estimate (%)28.5424.7554.7551.1626.8937.48
Simulation 3:TSLS
nA720
nB720
Replications600
Relative bias (%)-1.000.611.830.28-0.14-1.14
Relative21.8219.1635.3033.2317.2324.17
Relative sq. root mean
variance estimate (%)21.2219.2135.5433.5317.6424.45
Simulation 4:LS, X2=LDISP known
nA720
Replications1000
Relative17.5715.0534.8332.9416.6223.49
Relative sq. root mean
variance estimate (%)17.9915.6134.5732.6616.9923.69
Simulation 5:TSLS, wrong predictors
nA720
nB720
Replications600
Relative bias (%)1.62-4.862.18-0.229.13-7.70
Relative24.1622.5737.5535.5219.6625.84
Relative sq. root mean
variance estimate (%)24.0221.5636.2234.2817.3824.51
Simulation 6:TSLS
nA360
nB1080
Replications400
Relative bias (%)-1.372.24-5.305.47-1.653.02
Relative31.1131.3159.0156.0128.7842.99
Relative sq. root mean
variance estimate (%)29.7429.8560.0657.2027.4840.72
Simulation 7:LS, X2=LDISP known
nA360
Replications400
Relative bias (%)
Relative25.3723.9054.1351.7427.6241.92
Relative sq. root mean
variance estimate (%)24.9123.5656.2853.7926.5939.77

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