Revista

Nome:
Econometrics Journal web
Rankings:
Pontos Posição
CEF.UP+NIPE (average of all rankings) (2012) 28.93 138/501
ABS (2010) 75.0 126/288
Australian RC (2010) 75.0 181/479
Carlos III (2010) 37.5 46/153
CNRS (2008) 60.0 123/336
Combes and Linnemer (2003) 17.0 224/253
Ideas discounted recursive impact factor (2012) 16.48 34/396
ISI, JCR SSE, Article Influence Score (2010) 10.72 84/316
ISI, JCR SSE, Impact Factor (2010) 9.3 249/388
Kalaitzidakis et al (2010) 1.75 76/196
Schneider and Ursprung (2008) 20.0 231/278
Source Normalized Impact per Paper (SNIP) (2011) 12.04 196/476
Article Influence Score (2021) 4.38 28/409
Article Influence Score (2019) 2.07 59/428
Impact Factor (2021) 3.07 151/409
Impact Factor (2019) 2.14 146/440
Impact Factor (5 year) (2021) 4.6 102/409
Impact Factor (5 year) (2019) 1.7 235/428
SJR - Scimago (2021) 3.73 37/558
SJR - Scimago (2019) 2.93 60/549
Count (2021) 1.0 86/659
Artigos 10:

Disentangling the Effect of Measures, Variants, and Vaccines on SARS-CoV-2 Infections in England: A Dynamic Intensity Model
Otilia Boldea, Adriana Cornea-Madeira, Joao Madeira
vol. 26, 2023, p. 444-466.

Optimal data collection for randomized control trials.
Pedro Carneiro, Sokbae Lee, Daniel Wilhelm
vol. 23, 2020, p. 1-31.

A Mixture-Distribution Factor Model for Multivariate Outliers
Iliyan Georgiev
vol. 10, 2007, p. 605-636.

Controlling for Overdispersion in Grouped Conditional Logit Models: A Computationally Simple Application of Dirichlet-Multinomial Regression.
Paulo Guimarães, Richard Lindrooth
vol. 10, 2007, p. 439-452.

Simulation-Based Tests for Heteroskedasticity in Linear Regression Models: Some Further Results
Leslie Godfrey, Chris Orme, João Santos Silva
vol. 9, 2006, p. 76-97.

Bootstrap Estimation of Covariance Matrices via the Percentile Method
José Machado, Paulo Parente
vol. 8, 2005, p. 70-78.

On the Forecasting Ability of ARFIMA Models When Infrequent Breaks Occur
Vasco Gabriel, Luis Martins
vol. 7, 2004, p. 455-475.

A Note on the Estimation of Mixture Models under Endogenous Sampling
João Santos Silva
vol. 6, 2003, p. 46-52.

A New Technique for Simulating the Likelihood of Stochastic Differential Equations
João Nicolau
vol. 5, 2002, p. 91-103.

On LM Type Tests for Seasonal Unit Roots in Quarterly Data
Paulo M. M. Rodrigues
vol. 5, 2002, p. 176-195.

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