Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
9836 | 1116 | 21.1 | 36% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
34 | 3 | STATISTICS & PROBABILITY//STAT//COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 105938 |
189 | 2 | STATISTICS & PROBABILITY//NONPARAMETRIC REGRESSION//ANNALS OF STATISTICS | 21720 |
9836 | 1 | HETEROSKEDASTICITY//QUASI T TEST//JOURNAL OF ECONOMETRICS | 1116 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | HETEROSKEDASTICITY | authKW | 239757 | 4% | 19% | 47 |
2 | QUASI T TEST | authKW | 218879 | 1% | 100% | 8 |
3 | JOURNAL OF ECONOMETRICS | journal | 211283 | 15% | 5% | 166 |
4 | INFORMATION MATRIX TEST | authKW | 179072 | 1% | 55% | 12 |
5 | NON NESTED HYPOTHESES | authKW | 171285 | 1% | 52% | 12 |
6 | ARTIFICIAL REGRESSION | authKW | 164159 | 1% | 100% | 6 |
7 | ERROR COMPONENTS | authKW | 94572 | 1% | 31% | 11 |
8 | ERROR COMPONENTS MODEL | authKW | 92150 | 1% | 42% | 8 |
9 | SOCIAL SCIENCES, MATHEMATICAL METHODS | WoSSC | 87800 | 35% | 1% | 387 |
10 | VUONGS TEST | authKW | 87550 | 0% | 80% | 4 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Social Sciences, Mathematical Methods | 87800 | 35% | 1% | 387 |
2 | Economics | 40271 | 64% | 0% | 716 |
3 | Statistics & Probability | 30613 | 40% | 0% | 450 |
4 | Mathematics, Interdisciplinary Applications | 13777 | 25% | 0% | 283 |
5 | Computer Science, Interdisciplinary Applications | 297 | 5% | 0% | 56 |
6 | Agricultural Economics & Policy | 194 | 1% | 0% | 11 |
7 | Psychology, Mathematical | 120 | 1% | 0% | 9 |
8 | Business, Finance | 75 | 1% | 0% | 16 |
9 | Mathematical & Computational Biology | 56 | 2% | 0% | 18 |
10 | Management | 43 | 2% | 0% | 20 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | TEAM ALEA | 54716 | 0% | 50% | 4 |
2 | ABT MAKROOKON | 27360 | 0% | 100% | 1 |
3 | BEREICH FORMALE METHODEN DATENBANKEN | 27360 | 0% | 100% | 1 |
4 | DEFIEA4265 | 27360 | 0% | 100% | 1 |
5 | DIPARTIMENTO ANAL ECON | 27360 | 0% | 100% | 1 |
6 | DIPARTIMENTO SCI ECONOMICHE | 27360 | 0% | 100% | 1 |
7 | ECON DEV INT FINANCE | 27360 | 0% | 100% | 1 |
8 | ERICEA3083 | 27360 | 0% | 100% | 1 |
9 | EUREQUIA | 27360 | 0% | 100% | 1 |
10 | FAK WIRT SOZIALWISSEN | 27360 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF ECONOMETRICS | 211283 | 15% | 5% | 166 |
2 | ECONOMICS LETTERS | 39683 | 11% | 1% | 118 |
3 | ECONOMETRIC THEORY | 30434 | 3% | 3% | 38 |
4 | ECONOMETRICA | 25720 | 4% | 2% | 48 |
5 | OXFORD BULLETIN OF ECONOMICS AND STATISTICS | 15084 | 2% | 2% | 26 |
6 | REVIEW OF ECONOMICS AND STATISTICS | 11517 | 3% | 1% | 36 |
7 | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 8455 | 4% | 1% | 50 |
8 | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 8439 | 3% | 1% | 31 |
9 | JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION | 8246 | 3% | 1% | 28 |
10 | INTERNATIONAL ECONOMIC REVIEW | 7592 | 2% | 1% | 23 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | HETEROSKEDASTICITY | 239757 | 4% | 19% | 47 | Search HETEROSKEDASTICITY | Search HETEROSKEDASTICITY |
2 | QUASI T TEST | 218879 | 1% | 100% | 8 | Search QUASI+T+TEST | Search QUASI+T+TEST |
3 | INFORMATION MATRIX TEST | 179072 | 1% | 55% | 12 | Search INFORMATION+MATRIX+TEST | Search INFORMATION+MATRIX+TEST |
4 | NON NESTED HYPOTHESES | 171285 | 1% | 52% | 12 | Search NON+NESTED+HYPOTHESES | Search NON+NESTED+HYPOTHESES |
5 | ARTIFICIAL REGRESSION | 164159 | 1% | 100% | 6 | Search ARTIFICIAL+REGRESSION | Search ARTIFICIAL+REGRESSION |
6 | ERROR COMPONENTS | 94572 | 1% | 31% | 11 | Search ERROR+COMPONENTS | Search ERROR+COMPONENTS |
7 | ERROR COMPONENTS MODEL | 92150 | 1% | 42% | 8 | Search ERROR+COMPONENTS+MODEL | Search ERROR+COMPONENTS+MODEL |
8 | VUONGS TEST | 87550 | 0% | 80% | 4 | Search VUONGS+TEST | Search VUONGS+TEST |
9 | COXS TEST | 82080 | 0% | 100% | 3 | Search COXS+TEST | Search COXS+TEST |
10 | GLEJSER TEST | 82080 | 0% | 100% | 3 | Search GLEJSER+TEST | Search GLEJSER+TEST |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | MACKINNON, JG , (1992) MODEL-SPECIFICATION TESTS AND ARTIFICIAL REGRESSIONS.JOURNAL OF ECONOMIC LITERATURE. VOL. 30. ISSUE 1. P. 102-146 | 61 | 64% | 69 |
2 | GODFREY, LG , ORME, CD , (2001) ON IMPROVING THE ROBUSTNESS AND RELIABILITY OF RAO'S SCORE TEST.JOURNAL OF STATISTICAL PLANNING AND INFERENCE. VOL. 97. ISSUE 1. P. 153-176 | 40 | 56% | 2 |
3 | GODFREY, LG , (2011) ROBUST NON-NESTED TESTING FOR ORDINARY LEAST SQUARES REGRESSION WHEN SOME OF THE REGRESSORS ARE LAGGED DEPENDENT VARIABLES.OXFORD BULLETIN OF ECONOMICS AND STATISTICS. VOL. 73. ISSUE 5. P. 651-668 | 23 | 72% | 2 |
4 | LI, SY , ZHANG, NH , ZHANG, XQ , WANG, GN , (2017) A NEW HETEROSKEDASTICITY-CONSISTENT COVARIANCE MATRIX ESTIMATOR AND INFERENCE UNDER HETEROSKEDASTICITY.JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. VOL. 87. ISSUE 1. P. 198 -210 | 13 | 100% | 0 |
5 | ASLAM, M , RIAZ, T , ALTAF, S , (2013) EFFICIENT ESTIMATION AND ROBUST INFERENCE OFLINEARREGRESSION MODELS IN THE PRESENCE OF HETEROSCEDASTIC ERRORS AND HIGH LEVERAGE POINTS.COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION. VOL. 42. ISSUE 10. P. 2223-2238 | 15 | 88% | 1 |
6 | MCALEER, M , (1995) THE SIGNIFICANCE OF TESTING EMPIRICAL NONNESTED MODELS.JOURNAL OF ECONOMETRICS. VOL. 67. ISSUE 1. P. 149-171 | 47 | 46% | 30 |
7 | LUCCHETTI, R , PIGINI, C , (2013) A TEST FOR BIVARIATE NORMALITY WITH APPLICATIONS IN MICROECONOMETRIC MODELS.STATISTICAL METHODS AND APPLICATIONS. VOL. 22. ISSUE 4. P. 535-572 | 20 | 65% | 2 |
8 | HAGEMANN, A , (2012) A SIMPLE TEST FOR REGRESSION SPECIFICATION WITH NON-NESTED ALTERNATIVES.JOURNAL OF ECONOMETRICS. VOL. 166. ISSUE 2. P. 247-254 | 14 | 88% | 1 |
9 | CRIBARI-NETO, F , DA SILVA, WB , (2011) A NEW HETEROSKEDASTICITY-CONSISTENT COVARIANCE MATRIX ESTIMATOR FOR THE LINEAR REGRESSION MODEL.ASTA-ADVANCES IN STATISTICAL ANALYSIS. VOL. 95. ISSUE 2. P. 129 -146 | 12 | 100% | 10 |
10 | REBELO, E , DO VALLE, PO , NUNES, R , (2012) NONNESTED TESTING FOR COMPETING AUTOREGRESSIVE DYNAMIC MODELS ESTIMATED BY INSTRUMENTAL VARIABLES.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS. VOL. 41. ISSUE 20. P. 3799 -3812 | 14 | 82% | 0 |
Classes with closest relation at Level 1 |