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Table 3 Summary statistics for rice price returns

From: Examining the determinants of global and local price passthrough in cereal markets: evidence from DCC-GJR-GARCH and panel analyses

 

Mean

Median

Maximum

Minimum

Std. dev.

Skewness

Kurtosis

Jarque-Bera

International price

0.005

0.000

0.412

− 0.190

0.076

2.425

14.387

599.983c

Bangladesh

0.005

0.102

0.522

− 0.605

0.333

− 0.234

1.601

8.517b

Brazil

0.003

− 0.004

0.553

− 0.588

0.241

− 0.437

3.378

3.556

Cambodia

0.005

0.022

0.711

− 0.928

0.353

− 0.479

3.087

3.626

Cameroon

0.005

0.021

0.441

− 0.347

0.172

0.295

3.079

1.386

Colombia

0.006

0.069

0.576

− 0.864

0.326

− 1.268

4.296

31.747c

Guatemala

0.004

0.015

0.565

− 0.507

0.249

− 0.031

3.118

0.070

Haiti

0.007

0.070

0.805

− 1.224

0.450

− 1.008

4.357

23.121c

India

0.003

0.042

0.280

− 0.545

0.197

− 1.173

4.082

26.144c

Mauritania

0.002

− 0.019

0.606

− 0.425

0.224

0.133

2.624

0.832

Mozambique

0.006

0.016

0.465

− 0.602

0.245

− 0.698

3.601

9.050b

Nigeria

0.003

0.050

0.500

− 0.466

0.232

− 0.334

2.256

3.916

Panama

0.006

0.027

0.357

− 0.452

0.169

− 1.226

4.752

35.581c

Peru

0.001

0.024

0.362

− 0.274

0.162

0.122

1.993

4.202

Salvador

0.004

− 0.012

0.675

− 0.411

0.277

0.61

2.877

5.886a

South Africa

0.005

− 0.038

0.639

− 0.515

0.256

0.284

3.044

1.272

Uruguay

0.006

0.019

0.788

− 0.953

0.349

− 0.591

3.403

6.104b

  1. a, b and c indicate statistical significance at the 10%, 5% and 1% levels, respectively