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Econometrica
H-index 42

Econometrica

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Economics and Finance 14 98 102 41

Additional Metrics

Number of Best Scientists*: 119
Documents by Best Scientists*: 116
Top 100 Ranked Scientists*: 15
SCIMAGO H-index: 231
SCIMAGO SJR: 21.091
Impact Factor: 7.1

Overview

Top Research Topics at Econometrica?

Econometrica is organized to address concerns in the fields of Econometrics, Mathematical economics, Statistics, Microeconomics and Applied mathematics. Most of the works presented in the journal deals with Econometrics but it intersects with the subject of Estimation. It investigates Mathematical economics research which frequently intersects with Axiom.

Presentations on Statistics include those discussing Estimator and Regression analysis. Asymptotic distribution is the primary subject of Estimator works presented in Econometrica.

  • Econometrics (20.57%)
  • Mathematical economics (19.82%)
  • Statistics (12.14%)

What are the most cited papers published in the journal?

  • PROSPECT THEORY: AN ANALYSIS OF DECISION UNDER RISK (34094 citations)
  • Co-integration and Error Correction: Representation, Estimation and Testing (23422 citations)
  • Prospect theory: analysis of decision under risk (22236 citations)

Research areas of the most cited articles at Econometrica:

The most cited articles facilitate discussions on Econometrics, Mathematical economics, Statistics, Estimator and Microeconomics. In addition to Econometrics research, the journal articles aim to explore topics under Statistical hypothesis testing and Estimation. The Estimator study tackled in the most cited publications is a key component of adjacent topics in the area of Applied mathematics.

What topics the last edition of the journal is best known for?

  • Statistics
  • Law
  • World War II

The previous edition focused in particular on these issues:

The journal mainly deals with areas of study such as Econometrics, Microeconomics, Mathematical economics, Estimator and Applied mathematics. While Econometrics is the focus of Econometrica, it also provided insights into the studies of Statistical hypothesis testing and Model selection. The concepts on Microeconomics presented in it can also apply to other research fields, including Private information retrieval and Human capital.

In addition to Mathematical economics research, the journal aims to explore topics under Structure (category theory), Axiom, General equilibrium theory and Oligopoly. While the journal focused on Estimator, it was also able to explore topics like Variance (accounting), Quantile regression, Quantile and Identification (information).

The most cited articles from the last journal are:

  • A Preferred-Habitat Model of the Term Structure of Interest Rates (140 citations)
  • Strategic Analysis of Auctions (62 citations)
  • Deep Neural Networks for Estimation and Inference (56 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Econometrica (based on the number of publications) are:

  • Peter C.B. Phillips (34 papers) absent at the last edition,
  • Donald W.K. Andrews (34 papers) absent at the last edition,
  • Eberhard Fels (33 papers) absent at the last edition,
  • Whitney K. Newey (29 papers) absent at the last edition,
  • Jan Tinbergen (23 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Econometrica (based on the number of publications) are:

  • National Bureau of Economic Research (94 papers) published 16 papers at the last edition, 3 more than at the previous edition,
  • Northwestern University (89 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Stanford University (84 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Massachusetts Institute of Technology (69 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Chicago (68 papers) published 3 papers at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 46.15% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 61.90% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.14% of all publications and 16.67% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Econometrics

If you are intrigued by the numerous research topics in Econometrics and considering it as a career, it’s important to understand the various opportunities available in this field. Though the career paths can be rich and varied, they usually fall in the domains of academia, government, and business.

In academia, econometricians might work as educators or researchers for colleges and universities. Here, they teach and conduct research on Econometrics and related fields. With relevant experience and publications to their credit, they could even find themselves in tenured faculty positions. Researchers typically contribute to the understanding of Economic theory or its applications, and the most vital sign of their success is seen in how often their work gets cited in other studies.

Government entities also employ a substantial number of econometricians. They analyze data to inform public policies and ensure economic stability. These positions can range from municipal government roles to jobs in federal institutes.

In the business realm, econometricians help companies make informed decisions by analyzing economic data. They might examine how certain factors, such as the state of the economy, demographic changes, or company finances, will affect business and industry trends.

Regardless of the career path you choose, having a solid education will be necessary for success in Econometrics. You should begin by earning a bachelor's degree, followed by a master's or Ph.D. in economics or a related field from one of the best accounting schools in Michigan. Getting a strong foundation will not only prepare you academically but also give you a competitive edge in the job market.

Top Publications

  • A Preferred-Habitat Model of the Term Structure of Interest Rates

    Dimitri Vayanos;Jean-Luc Vila

    (2021)
    672 Citations
  • On the Geography of Global Value Chains

    Pol Antràs;Alonso de Gortari

    (2020)
    426 Citations
  • Economic Predictions With Big Data: The Illusion of Sparsity

    Domenico Giannone;Domenico Giannone;Michele Lenza;Michele Lenza;Giorgio E. Primiceri;Giorgio E. Primiceri;Giorgio E. Primiceri

    (2021)
    363 Citations
  • Policy Learning With Observational Data

    Susan Athey;Stefan Wager

    (2021)
    320 Citations
  • Heterogeneity and Persistence in Returns to Wealth

    Andreas Fagereng;Luigi Guiso;Davide Malacrino;Luigi Pistaferri

    (2020)
    307 Citations
  • RCTs to Scale: Comprehensive Evidence From Two Nudge Units

    (2022)
    301 Citations

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Best Scientists Contributing to This Journal