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The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)

Table 11 Statistics of the mean percentage differences (MPEs) between the estimated and observed type I output multipliers from alternative approaches

From: A new approach to modelling the input–output structure of regional economies using non-survey methods

  MCE FLQ+ FLQ0.3 GRAS GRAS+ AFLQ AFLQ+ SLQ
Gyeonggi 11.408 − 1.913 3.355 − 16.875 − 5.682 − 0.605 − 1.748 4.940
Seoul 15.252 − 1.947 − 0.707 − 2023.701 − 8.554 − 0.108 − 1.145 − 2.320
N Gyeongsang 14.979 − 2.120 − 3.155 − 8.967 − 9.253 0.415 2.235 7.788
S Gyeongsang 1.697 − 4.489 − 4.293 − 9.531 − 8.050 − 3.039 − 2.799 5.232
Ulsan 23.051 − 3.868 − 0.186 − 315.443 − 10.203 − 2.905 − 3.440 3.860
South Jeolla 15.573 − 1.184 − 3.263 2.784 − 9.754 8.091 11.756 9.666
S Chungcheong 0.327 − 2.077 0.463 3.149 − 6.177 7.046 2.575 17.014
Incheon 22.071 − 2.638 2.415 − 284.593 − 4.704 − 1.882 − 2.557 13.515
Busan 12.517 − 2.825 − 2.825 − 261.020 − 5.314 − 3.191 − 2.729 2.436
N Chungcheong − 4.436 − 4.190 − 4.190 − 12.482 − 6.827 0.247 0.247 12.200
Daegu 13.808 − 3.204 − 4.513 − 199.788 − 5.636 − 3.979 − 2.922 9.937
North Jeolla − 6.728 − 2.046 − 2.333 − 4.315 − 4.871 5.298 8.479 14.849
Gangwon 5.919 − 6.580 − 7.671 377.345 − 7.859 − 1.692 − 2.505 2.589
Gwangju 11.166 − 4.110 − 3.730 − 503.281 − 4.803 − 4.924 − 4.097 3.717
Daejeon 18.257 − 2.850 − 1.493 − 575.148 − 2.762 − 4.563 − 2.612 13.339
Jeju − 7.077 − 1.933  − 5.860 2.827 − 5.187 7.743 17.545 13.453
Mean 9.237 − 2.998 − 2.374 − 239.315 − 6.602 0.122 1.018 8.263
Weighted mean 11.736 − 2.589 − 0.876 − 444.087 − 7.201 0.026 − 0.095 5.978
V 9.492 − 1.321 − 2.821 − 512.024 − 2.056 4.321 6.070 5.357
  1. FLQ0.3 denotes the FLQ with a fixed δ = 0.3. Negative values indicate underestimates