Skip to main content

Impact Factor Journals - Economics


Economics



Title
Country
Impact 2009
Impact 2010
Hungary
0.115
0.143
Netherlands
0.673
1.329
Czech Republic
0.716

United States
2.531
3.15
United States
1.047
1.233
United States
0.282
0.321
China
0.243
0.278
United States
-
1.762
United States
-
1
England
0.404
0.424
England
0.241

Australia
0.400
0.205
Australia
1.042
0.622
Australia
0.615
0.25
Belgium
0.731

Australia
0.308
0.333
Australia
0.373
0.388
Australia
0.200
0.256
England
1.055
1.117
Australia
0.613
0.935
Latvia
0.000
0.167
United States
0.470
0.554
United States
0.343
0.526
United States
0.390
0.303
United States
2.107
3.783
England
0.837
1.457
Canada
0.552
0.477
Canada
0.582
0.844
Chile
0.316
0.254
England
0.565
0.471
United States
1.066
0.947
China
0.424
0.575
United States
0.659
0.523
England
0.380
0.348
Japan
0.125
0.156
United States
0.189

Netherlands
2.422
2.754
Chile
0.026

United States
0.863

United States
0.633
1.059
United States
0.763
1.066
United States
3.452

England
0.885
0.843
Netherlands
2.016
2.438
United States
0.962
0.796
England
1.902
2.271
United States
1.069

Switzerland
0.359
0.449
Netherlands
0.588
0.601
United States
0.595

England
2.375
2.0
Italy
0.914

Australia
0.582
0.512
England
1.527
1.741
United States
0.727

England
0.774

England
0.733

United States
1.745
1.088
United States
0.743

England
4.000
3.185
England
1.185
1.286
Netherlands
0.390
0.622
Slovakia
0.237

Croatia
0.036

United States
0.338

Austria
0.579
0.714
Netherlands
2.333
2.449
United States
1.857

Netherlands
1.314
1.297
Netherlands
1.131
1.162
Germany
1.337
1.755
England
0.196

England
0.860
1.065
England
0.634
0.564
Netherlands
3.300
1.868
United States
0.576
1.222
United States
0.481

England
1.205

Germany
0.135

United States
0.378
0.75
England
1.606
1.831
England
0.669
0.973
United States
1.239
1.017
England
0.681
0.82
Spain
0.375

England
2.011
1.946
United States
0.293

Japan
0.080

United States
0.510

England
1.513
1.235
United States
0.239

Netherlands
0.745
0.706
Netherlands
0.960
1.178
United States
1.030
1.516
England
0.556
0.462
Netherlands
1.064
1.853
Germany
0.527
0.593
Netherlands
0.924
0.731
Italy
0.146

United States
0.556
0.300
Netherlands
0.735
0.699
Mexico
0.091

Spain
0.370

Netherlands
2.605
2.817
England
0.698
0.516
Scotland
1.155
0.969
United States
0.474

England
2.000
1.881
Argentina
0.200
0.182
England
0.125
1.341
England
0.204
0.275
Australia
0.548

Netherlands
1.908
2.731
Lithuania
2.015
3.866
United States
1.562

United States
1.360
0.835
Netherlands
0.906
0.933
Netherlands
1.791
1.747
England
0.899
0.793
Austria
0.592
0.577
Netherlands
1.081
0.922
Netherlands
1.097
1.117
United States
0.145

England
3.937
3.662
Netherlands
3.083
2.45
United States
0.691

United States
6.919

United States
1.239
1.123
United States
3.557

England
0.244

Netherlands
1.473
1.358
England
1.228
1.581
United States
1.092
1.112
United States
2.581
2.989
England
1.425
1.703
Germany
0.947
0.984
Switzerland
4.020
3.810
United States
0.897
0.846
United States
1.603

Sweden
1.100
0.867
Netherlands
1.885
2.234
United States
0.946
0.714
United States
1.877
2.101
England
1.111
0.795
Germany
0.368

Netherlands
2.271
1.788
England
0.309
0.314
United States
0.368
0.444
South Korea
0.537

United States
1.511

United States
1.643

United States
1.961
1.595
United States
0.372
0.678
Switzerland
0.471
0.54
United States
0.429

Netherlands
1.755
1.654
United States
1.194
1.15
United States
1.545

United States
0.763
0.911
United States
3.841

United States
0.857
0.948
United States
0.333

Netherlands
0.806
0.58
Netherlands
1.236
1.732
United States
0.500
0.411
Netherlands
0.659
0.656
United States
0.585

United States
1.132
1.029
Netherlands
0.768
0.672
United States
0.612
1.092
United States
1.519
1.558
England
0.795

United States
1.914
2.892
Germany
0.254

England
1.316
1.274
United States
0.179
0.246
Netherlands
0.333
0.414
England
0.983

Netherlands
0.992
0.783
United States
1.558
1.558
United States
0.517

England
0.218
0.333
United States
0.492

United States
1.214
1.052
United States
0.465

United States
0.796
0.804
Netherlands
0.284
0.382
England
1.092
1.182
England
0.761
0.714
England
0.809
1.703
Australia
0.244

New Zealand
2.612
3.44
Czech Republic
0.500

Germany
0.526
0.25
England
0.196
0.362
United States
0.400

United States
0.750
0.894
United States
5.647
5.940
United States
1.200
0.9
England
0.621
0.590
United States
1.306

United States
0.647
0.926
Netherlands
0.910
0.892
Netherlands
1.333
1.778
Netherlands
0.523

Venezuela
0.066

United States
0.459
0.434
Spain
0.125

United States
0.975
1.259
Spain
0.032

France
0.169

United States
2.555
2.883
England
2.904
3.113
United States
3.645
2.781
France
0.045

England
0.770
0.750
Netherlands
0.441
0.529
England
1.288
0.861
Germany
0.524
0.966
Romania
0.620

South Africa
0.248
0.31
South Africa
0.082

Sweden
0.558
0.919
England
0.522
0.429
Singapore
0.224

Netherlands
1.380
1.555
Germany
0.683
0.61
United States
0.588

Spain
0.667

United States
0.857
0.765
Netherlands
0.641
0.638
England
0.717
0.802
Lithuania
1.205
1.67
Mexico
0.203

United States
3.032

England
1.348
1.108
England
1.766
1.318
England
1.474`
1.474
England
1.225
1.612
Netherlands
1.159
0.878
Croatia
0.185

Popular posts from this blog

Structure of a Research Article

UNIT ROOT TEST

Stationarity and Unit Root Testing l   The stationarity or otherwise of a series can strongly influence its behaviour and properties - e.g. persistence of shocks will be infinite for nonstationary series l   Spurious regressions. If two variables are trending over time, a regression of one on the other could have a high R 2 even if the two are totally unrelated l   If the variables in the regression model are not stationary, then it can be proved that the standard assumptions for asymptotic analysis will not be valid. In other words, the usual “ t -ratios” will not follow a t -distribution, so we cannot validly undertake hypothesis tests about the regression parameters. Stationary and Non-stationary Time Series Stationary Time Series l   A series is said to be stationary if the mean and autocovariances of the series do not depend on time. (A) Strictly Stationary : n   For a strictly stationary time series the distribution of   y(t) is independent of t .   Thus it is not just

ISI Journals - Economics

1. ACTUAL PROBLEMS OF ECONOMICS 2. AGRICULTURAL ECONOMICS 3. AGRICULTURAL ECONOMICS-ZEMEDELSKA EKONOMIKA 4. AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS 5. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS 6. AMERICAN JOURNAL OF ECONOMICS AND SOCIOLOGY 7. AMERICAN LAW AND ECONOMICS REVIEW 8. ANNALS OF ECONOMICS AND FINANCE 9. ANNUAL REVIEW OF ECONOMICS 10. ANNUAL REVIEW OF FINANCIAL ECONOMICS 11. ANNUAL REVIEW OF RESOURCE ECONOMICS 12. ANNUAL REVIEW OF RESOURCE ECONOMICS 13. APPLIED ECONOMICS 14. APPLIED ECONOMICS LETTERS 15. AQUACULTURE ECONOMICS & MANAGEMENT 16. ASIA-PACIFIC JOURNAL OF ACCOUNTING & ECONOMICS 17. AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS 18. B E JOURNAL OF THEORETICAL ECONOMICS 19. BALTIC JOURNAL OF ECONOMICS 20. CAMBRIDGE JOURNAL OF ECONOMICS 21. CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D AGROECONOMIE 22. CANADIAN JOURNAL OF ECONOMICS-REVUE CANADIENNE D ECONOMIQUE 23. COMPUTATIONAL ECONOMICS 24. DEFENCE AND PEACE ECONOMICS 25. EA