Last updated February, 3 2014 581.217 documents processed, 14.657.417 references and 5.549.674 citations

Foundations and Trends(R) in Econometrics / now publishers

[Raw data] [Main indicators] [Most cited papers] [cites used to compute the impact factor] [Recent citations ][documents published in EconPapers] [Keep updated about new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators

Raw data:

IF AIF DOC CDO CCU CIF CIT D2Y C2Y %SC CiY II AII
19900.08000000.04
19910.08000000.04
19920.09000000.05
19930.1000000.04
19940.12000000.05
19950.16000000.09
19960.19000000.09
19970.2000000.09
19980.21000000.13
19990.27000000.16
20000.39000000.16
20010.37000000.17
20020.38000000.18
20030.4000000.19
20040.43000000.19
20050.45000000.24
20060.46000000.2
20070.3922215100210.17
200820.4135517224010.330.18
20093.20.375163.2051600.18
20102.330.3327172.4314370210.16
201110.4529222.4422200.23
20121.750.46211302.7304700.24
 
 
IF: Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for series in RePEc in year y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CCU: Cumulative number of citations to papers published until year y
CIF: Cumulative impact factor
CIT: Number of citations to papers published in year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y

 

Most cited documents in this series:

YearTitleCited
2008.

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47
2007.

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45
2008.

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23
2010.

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14
2007.

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6
2011.

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2
2008.

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2

Citing documents used to compute impact factor 7:

YearTitleSee
2012The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models. (2012). Puhani, Patrick. In: Economics Letters. RePEc:eee:ecolet:v:115:y:2012:i:1:p:85-87.

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[Citation Analysis]
2012Turning the Switch: An Evaluation of the Minimum Wage in the German Electrical Trade Using Repeated Natural Experiments. (2012). Boockmann, Bernhard ; Krumm, Raimund ; Rattenhuber, Pia ; Neumann, Michael . In: IAW Discussion Papers. RePEc:iaw:iawdip:92.

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[Citation Analysis]
2012Energy and Speculation: New Dynamics in Agricultural Commodity Price Volatility. (2012). Xiarchos, Irene ; Burnett, James ; Kucher, Oleg . In: 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington. RePEc:ags:aaea12:124788.

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[Citation Analysis]
2012Bayesian Testing of Granger Causality in Markov-Switching VARs. (2012). Woźniak, Tomasz ; DROUMAGUET, Matthieu ; Wozniak, Tomasz . In: Economics Working Papers. RePEc:eui:euiwps:eco2012/06.

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[Citation Analysis]
2012Прогнозування розвитку економіки України на основі баєсівських авторегресійних (BVAR) моделей з різними priors. (2012). Matkovskyy, Roman. In: MPRA Paper. RePEc:pra:mprapa:44725.

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[Citation Analysis]
2012How important are external shocks in explaining growth in Sub-Saharan Africa? Evidence from a Bayesian VAR. (2012). Senbeta, Sisay ; Senbeta Sisay R., . In: Working Papers. RePEc:ant:wpaper:2012010.

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[Citation Analysis]
2012The state space representation and estimation of a time-varying parameter VAR with stochastic volatility. (2012). Doh, Taeyoung ; Connolly, Michael . In: Research Working Paper. RePEc:fip:fedkrw:rwp12-04.

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[Citation Analysis]

Cites in year: CiY

Recent citations received in: 2011

YearTitleSee

Recent citations received in: 2010

YearTitleSee
2010Assessing the transmission of monetary policy using dynamic factor models. (2010). Korobilis, Dimitris. In: MPRA Paper. RePEc:pra:mprapa:27593.

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[Citation Analysis]
2010The dynamic effects of U.S. monetary policy on state unemployment. (2010). Korobilis, Dimitris ; Gilmartin, Michelle. In: MPRA Paper. RePEc:pra:mprapa:27596.

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[Citation Analysis]

Warning!! This is still an experimental service. The results of this service should be interpreted with care, especially in research assessment exercises. The processing of documents is automatic. There still are errors and omissions in the identification of references. We are working to improve the software to increase the accuracy of the results.

Source data used to compute the impact factor of RePEc series.