A Principal Components Approach to Cross-Section Dependence in Panels



Table 1B. Monte Carlo simulation results

N =30,T

=25, γi

= 1, ρdi

=0, ρz

=0, σ2di =

1

A) Regression I

Mean

SSD

Min.

Max.

Skew.

Kurt-3

MG________________________________

ʌ
^

1.5070

.0766

1.2645

1.7224

-.2967

.0069

ʌ

SEι(θ)

.0305

.0048

.0171

.0479

.2111

.0868

FE_________________________________________

ʌ
^

1.4966

.0754

1.2460

1.7053

-.3233

.0326

ʌ

SEι(θ)

.0322

.0020

.0259

.0378

-.0169

-.1542

ʌ

SE2(θ)

.0567

.0035

.0465

.0659

.0043

-.0825

ʌ

SE3(θ)

.0716

.0137

.0410

.1318

.8815

1.2679

POLS_______________________________________

ʌ
^

1.4869

.0751

1.2406

1.6989

-.3207

.0052

ʌ

SE1(θ)

.0317

.0019

.0256

.0375

-.0124

-.1353

ʌ

SE2(θ)

.0567

.0034

.0461

.0656

.0082

-.0888

ʌ

SE3(θ)

.0717

.0132

.0366

.1296

.4597

.2201

B) Regression II

Mean

SSD

Min.

Max.

Skew.

Kurt-3

MG_______________________________

ʌ
b

1.1384

.0734

.9472

1.4178

.3728

.2719

ʌ

SE1(b)

.0374

.0052

.0201

.0539

.1556

-.1378

FE_________________________________________

ʌ
b

1.1279

.0709

.9565

1.3694

.3425

.2523

ʌ

SE1(b)

.0341

.0015

.0278

.0378

-.0736

.1013

ʌ

SE2(b)

.0355

.0024

.0297

.0488

.6921

1.3834

ʌ

SE3(b)

.0406

.0076

.0246

.0801

.8646

1.8745

POLS_______________________________________

ʌ
b

1.1243

.0689

.9539

1.3793

.3591

.2305

ʌ

SEi(b)

.0335

.0016

.0279

.0386

-.1084

.1745

ʌ

SE2(b)

.0355

.0024

.0299

.0492

.7604

1.8043

ʌ

SE3(b)

.0392

.0076

.0220

.0642

.5005

.2672

22



More intriguing information

1. The name is absent
2. The name is absent
3. sycnoιogιcaι spaces
4. The name is absent
5. The name is absent
6. The name is absent
7. The name is absent
8. The name is absent
9. On Evolution of God-Seeking Mind
10. Indirect Effects of Pesticide Regulation and the Food Quality Protection Act