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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