H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Economics and Finance D-index 55 Citations 35,360 156 World Ranking 538 National Ranking 349

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Normal distribution
  • Econometrics

Cheng Hsiao mainly focuses on Econometrics, Panel data, Estimator, Statistics and Cointegration. The various areas that he examines in his Econometrics study include Variables and Identification. His work deals with themes such as Multilevel model and Time series, which intersect with Panel data.

His work focuses on many connections between Estimator and other disciplines, such as Instrumental variable, that overlap with his field of interest in Bayes' theorem, Sampling, Autocorrelation, Partial least squares regression and Generalized least squares. His study in Statistics focuses on Multidimensional panel data and Covariance. His studies in Multidimensional panel data integrate themes in fields like Analysis of covariance, Linear regression, Simple linear regression, Homogeneity and Cross-sectional data.

His most cited work include:

  • Analysis of Panel Data (6082 citations)
  • Formulation and estimation of dynamic models using panel data (1978 citations)
  • Formulation and estimation of dynamic models using panel data (1978 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Econometrics, Panel data, Estimator, Statistics and Applied mathematics. His work on Cointegration and Autoregressive model as part of general Econometrics research is often related to Estimation, thus linking different fields of science. His Panel data study incorporates themes from Variables and Time series.

Cheng Hsiao has researched Estimator in several fields, including Instrumental variable and Series. His work in the fields of Generalized least squares overlaps with other areas such as Simple. He studied Applied mathematics and Nonparametric statistics that intersect with Test statistic.

He most often published in these fields:

  • Econometrics (93.60%)
  • Panel data (57.88%)
  • Estimator (48.28%)

What were the highlights of his more recent work (between 2013-2021)?

  • Econometrics (93.60%)
  • Panel data (57.88%)
  • Estimator (48.28%)

In recent papers he was focusing on the following fields of study:

Econometrics, Panel data, Estimator, Applied mathematics and Series are his primary areas of study. Cheng Hsiao focuses mostly in the field of Econometrics, narrowing it down to matters related to Counterfactual thinking and, in some cases, Unemployment rate and Demographic economics. His Panel data research is multidisciplinary, relying on both Economic impact analysis and Macroeconomics.

His Estimator study necessitates a more in-depth grasp of Statistics. In his research on the topic of Applied mathematics, Bias of an estimator, Jackknife resampling and Restricted maximum likelihood is strongly related with Asymptotic distribution. Cheng Hsiao combines subjects such as Statistical inference and Sample size determination with his study of Series.

Between 2013 and 2021, his most popular works were:

  • Analysis of Panel Data (210 citations)
  • Is there an optimal forecast combination (64 citations)
  • Is there an optimal forecast combination (64 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Normal distribution
  • Regression analysis

Cheng Hsiao mainly investigates Econometrics, Panel data, Estimator, Series and Simple. Cheng Hsiao has included themes like Counterfactual thinking and Monte Carlo method in his Econometrics study. His biological study spans a wide range of topics, including Economic impact analysis and Macroeconomics.

His work in Estimator covers topics such as Applied mathematics which are related to areas like Generalized method of moments. His Series research is multidisciplinary, incorporating elements of Statistical inference and Unobservable. His study in Statistics is interdisciplinary in nature, drawing from both Equity premium puzzle and Scale.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Analysis of Panel Data

Cheng Hsiao.
(1986)

14814 Citations

Analysis of Panel Data.

James Davidson;Cheng Hsiao.
Economica (1987)

6036 Citations

Formulation and estimation of dynamic models using panel data

T.W. Anderson;Cheng Hsiao;Cheng Hsiao.
Journal of Econometrics (1982)

3298 Citations

Estimation of Dynamic Models with Error Components

Theodore Wilbur Anderson;Cheng Hsiao.
Journal of the American Statistical Association (1981)

3075 Citations

AUTOREGRESSIVE MODELLING AND MONEY-INCOME CAUSALITY DETECTION

Cheng Hsiao.
Journal of Monetary Economics (1981)

1233 Citations

Panel data analysis—advantages and challenges

Cheng Hsiao;Cheng Hsiao.
Test (2007)

1154 Citations

Benefits and limitations of panel data

Cheng Hsiao.
Econometric Reviews (1985)

539 Citations

Autoregressive Modeling of Canadian Money and Income Data

Cheng Hsiao.
Journal of the American Statistical Association (1979)

534 Citations

Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods

Cheng Hsiao;M. Hashem Pesaran;A. Kamil Tahmiscioglu.
Journal of Econometrics (2002)

473 Citations

ESTIMATION AND INFERENCE IN SHORT PANEL VECTOR AUTOREGRESSIONS WITH UNIT ROOTS AND COINTEGRATION

Michael Binder;Cheng Hsiao;M. Hashem Pesaran.
Econometric Theory (2005)

416 Citations

Editorial Boards

Journal of Econometrics
(Impact Factor: 3.363)

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Best Scientists Citing Cheng Hsiao

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Badi H. Baltagi

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Peter C. B. Phillips

Yale University

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David A. Bessler

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Subal C. Kumbhakar

Binghamton University

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Marco Vivarelli

Catholic University of the Sacred Heart

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James J. Heckman

University of Chicago

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Stephen M. Miller

University of Nevada, Las Vegas

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Robert K. Kaufmann

Robert K. Kaufmann

Boston University

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Stephen Bond

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Peter Egger

ETH Zurich

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Joakim Westerlund

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Jerry A. Hausman

Jerry A. Hausman

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