Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
4383 | 1795 | 29.3 | 53% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
1 | 4 | ECONOMICS//EDUCATION & EDUCATIONAL RESEARCH//PSYCHOL | 3876184 |
67 | 3 | ECONOMICS//BUSINESS, FINANCE//ECON | 84262 |
15 | 2 | ECONOMICS//MONETARY POLICY//ECON | 37620 |
4383 | 1 | FORECAST EVALUATION//INTERNATIONAL JOURNAL OF FORECASTING//MACROECONOMIC FORECASTING | 1795 |
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 | FORECAST EVALUATION | authKW | 799739 | 5% | 51% | 92 |
2 | INTERNATIONAL JOURNAL OF FORECASTING | journal | 622018 | 13% | 15% | 237 |
3 | MACROECONOMIC FORECASTING | authKW | 580498 | 3% | 74% | 46 |
4 | DYNAMIC FACTOR MODEL | authKW | 462333 | 4% | 43% | 63 |
5 | FACTOR MODELS | authKW | 420839 | 6% | 25% | 99 |
6 | REAL TIME DATA | authKW | 365198 | 3% | 35% | 62 |
7 | JOURNAL OF FORECASTING | journal | 337367 | 9% | 13% | 156 |
8 | SURVEY OF PROFESSIONAL FORECASTERS | authKW | 319388 | 1% | 72% | 26 |
9 | DATA REVISIONS | authKW | 235202 | 1% | 63% | 22 |
10 | FORECAST COMBINATION | authKW | 233027 | 2% | 35% | 39 |
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 | Economics | 124345 | 88% | 0% | 1588 |
2 | Social Sciences, Mathematical Methods | 93131 | 28% | 1% | 506 |
3 | Management | 18578 | 22% | 0% | 401 |
4 | Statistics & Probability | 8060 | 17% | 0% | 299 |
5 | Business, Finance | 5896 | 9% | 0% | 156 |
6 | Mathematics, Interdisciplinary Applications | 4453 | 12% | 0% | 209 |
7 | International Relations | 24 | 1% | 0% | 12 |
8 | Business | 20 | 1% | 0% | 17 |
9 | Agricultural Economics & Policy | 5 | 0% | 0% | 3 |
10 | Urban Studies | 4 | 0% | 0% | 5 |
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 | ECON | 62385 | 34% | 1% | 613 |
2 | ECA | 34586 | 2% | 7% | 28 |
3 | BARCELONA GSE CREI | 34019 | 0% | 100% | 2 |
4 | ECON MODELLING FORECASTING | 34019 | 0% | 100% | 2 |
5 | MACROECON ANAL PROJECT | 34019 | 0% | 100% | 2 |
6 | NEW ECON THINKING | 23940 | 1% | 14% | 10 |
7 | BUSINESS CONDIT MACROECON FORECASTING DIRECTORA | 22678 | 0% | 67% | 2 |
8 | IGIER | 22518 | 1% | 8% | 17 |
9 | MONETARY POLICY | 21117 | 1% | 8% | 15 |
10 | ABT INT FINANZMARKTE FINANZMANAGEMENT L 7 | 17010 | 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 | INTERNATIONAL JOURNAL OF FORECASTING | 622018 | 13% | 15% | 237 |
2 | JOURNAL OF FORECASTING | 337367 | 9% | 13% | 156 |
3 | JOURNAL OF BUSINESS & ECONOMIC STATISTICS | 90085 | 5% | 6% | 86 |
4 | JOURNAL OF ECONOMETRICS | 89339 | 8% | 4% | 137 |
5 | JOURNAL OF APPLIED ECONOMETRICS | 65635 | 4% | 6% | 68 |
6 | ECONOMIA CHILENA | 37867 | 1% | 15% | 15 |
7 | OXFORD BULLETIN OF ECONOMICS AND STATISTICS | 25654 | 2% | 4% | 43 |
8 | EMPIRICAL ECONOMICS | 18806 | 2% | 3% | 35 |
9 | ECONOMIC MODELLING | 15918 | 3% | 2% | 56 |
10 | ECONOMICS LETTERS | 12709 | 5% | 1% | 85 |
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 | FORECAST EVALUATION | 799739 | 5% | 51% | 92 | Search FORECAST+EVALUATION | Search FORECAST+EVALUATION |
2 | MACROECONOMIC FORECASTING | 580498 | 3% | 74% | 46 | Search MACROECONOMIC+FORECASTING | Search MACROECONOMIC+FORECASTING |
3 | DYNAMIC FACTOR MODEL | 462333 | 4% | 43% | 63 | Search DYNAMIC+FACTOR+MODEL | Search DYNAMIC+FACTOR+MODEL |
4 | FACTOR MODELS | 420839 | 6% | 25% | 99 | Search FACTOR+MODELS | Search FACTOR+MODELS |
5 | REAL TIME DATA | 365198 | 3% | 35% | 62 | Search REAL+TIME+DATA | Search REAL+TIME+DATA |
6 | SURVEY OF PROFESSIONAL FORECASTERS | 319388 | 1% | 72% | 26 | Search SURVEY+OF+PROFESSIONAL+FORECASTERS | Search SURVEY+OF+PROFESSIONAL+FORECASTERS |
7 | DATA REVISIONS | 235202 | 1% | 63% | 22 | Search DATA+REVISIONS | Search DATA+REVISIONS |
8 | FORECAST COMBINATION | 233027 | 2% | 35% | 39 | Search FORECAST+COMBINATION | Search FORECAST+COMBINATION |
9 | CORE INFLATION | 217701 | 1% | 53% | 24 | Search CORE+INFLATION | Search CORE+INFLATION |
10 | APPROXIMATE FACTOR MODEL | 196620 | 1% | 68% | 17 | Search APPROXIMATE+FACTOR+MODEL | Search APPROXIMATE+FACTOR+MODEL |
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 | RUSNAK, M , (2016) NOWCASTING CZECH GDP IN REAL TIME.ECONOMIC MODELLING. VOL. 54. ISSUE . P. 26 -39 | 49 | 88% | 1 |
2 | NASER, H , (2015) ESTIMATING AND FORECASTING BAHRAIN QUARTERLY GDP GROWTH USING SIMPLE REGRESSION AND FACTOR-BASED METHODS.EMPIRICAL ECONOMICS. VOL. 49. ISSUE 2. P. 449 -479 | 42 | 89% | 0 |
3 | LUCIANI, M , RICCI, L , (2014) NOWCASTING NORWAY.INTERNATIONAL JOURNAL OF CENTRAL BANKING. VOL. 10. ISSUE 4. P. 215 -248 | 39 | 98% | 0 |
4 | JANSEN, WJ , JIN, XW , DE WINTER, JM , (2016) FORECASTING AND NOWCASTING REAL GDP: COMPARING STATISTICAL MODELS AND SUBJECTIVE FORECASTS.INTERNATIONAL JOURNAL OF FORECASTING. VOL. 32. ISSUE 2. P. 411 -436 | 29 | 100% | 3 |
5 | BERG, TO , HENZEL, SR , (2015) POINT AND DENSITY FORECASTS FOR THE EURO AREA USING BAYESIAN VARS.INTERNATIONAL JOURNAL OF FORECASTING. VOL. 31. ISSUE 4. P. 1067 -1095 | 39 | 91% | 1 |
6 | BAI, JS , WANG, P , (2016) ECONOMETRIC ANALYSIS OF LARGE FACTOR MODELS.ANNUAL REVIEW OF ECONOMICS, VOL 8. VOL. 8. ISSUE . P. 53 -80 | 50 | 63% | 0 |
7 | HINDRAYANTO, I , KOOPMAN, SJ , DE WINTER, J , (2016) FORECASTING AND NOWCASTING ECONOMIC GROWTH IN THE EURO AREA USING FACTOR MODELS.INTERNATIONAL JOURNAL OF FORECASTING. VOL. 32. ISSUE 4. P. 1284 -1305 | 32 | 97% | 0 |
8 | ANTIPA, P , BARHOUMI, K , BRUNHES-LESAGE, V , DARNE, O , (2012) NOWCASTING GERMAN GDP: A COMPARISON OF BRIDGE AND FACTOR MODELS.JOURNAL OF POLICY MODELING. VOL. 34. ISSUE 6. P. 864-878 | 36 | 92% | 3 |
9 | AASTVEIT, KA , GERDRUP, KR , JORE, AS , THORSRUD, LA , (2014) NOWCASTING GDP IN REAL TIME: A DENSITY COMBINATION APPROACH.JOURNAL OF BUSINESS & ECONOMIC STATISTICS. VOL. 32. ISSUE 1. P. 48-68 | 34 | 89% | 6 |
10 | STEKLER, HO , (2007) THE FUTURE OF MACROECONOMIC FORECASTING: UNDERSTANDING THE FORECASTING PROCESS.INTERNATIONAL JOURNAL OF FORECASTING. VOL. 23. ISSUE 2. P. 237-248 | 45 | 76% | 11 |
Classes with closest relation at Level 1 |