D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Economics and Finance D-index 44 Citations 87,732 125 World Ranking 1077 National Ranking 121

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Finance
  • Macroeconomics

The scientist’s investigation covers issues in Panel data, Econometrics, Estimator, Investment and Generalized method of moments. His Panel data research incorporates elements of Economic model and Distribution. His Econometrics research is multidisciplinary, incorporating perspectives in Debt finance, Capital accumulation, Demand shock and Hierarchy.

Estimator is closely attributed to Monte Carlo method in his work. His Monte Carlo method study integrates concerns from other disciplines, such as Moment and Variables. His Investment research focuses on subjects like Cash flow, which are linked to Fixed investment.

His most cited work include:

  • Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. (19540 citations)
  • Initial conditions and moment restrictions in dynamic panel data models (12680 citations)
  • Dynamic panel data models: a guide to microdata methods and practice (1607 citations)

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

Stephen Bond mainly investigates Investment, Econometrics, Panel data, Estimator and Monetary economics. His research integrates issues of Demand shock, Cash flow, Finance and Capital accumulation in his study of Investment. He studies Generalized method of moments which is a part of Econometrics.

His Panel data research includes elements of Method of moments, Econometric model and Sample. His studies deal with areas such as Monte Carlo method and Autoregressive model as well as Estimator. Stephen Bond has included themes like Ordinary least squares, Moment and Variables in his Monte Carlo method study.

He most often published in these fields:

  • Investment (35.19%)
  • Econometrics (34.57%)
  • Panel data (33.33%)

What were the highlights of his more recent work (between 2009-2020)?

  • Investment (35.19%)
  • Monetary economics (17.90%)
  • Public economics (4.94%)

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

Stephen Bond focuses on Investment, Monetary economics, Public economics, Finance and Tax credit. His work carried out in the field of Investment brings together such families of science as Financial economics and Capital accumulation. His work in the fields of Monetary economics, such as Demand shock, overlaps with other areas such as Long period, Service, Error correction model and Manufacturing firms.

His work in the fields of Finance, such as Cash flow, intersects with other areas such as Flow and Sensitivity. His Tax credit research incorporates themes from Tax reform, Ad valorem tax and Value-added tax. Stephen Bond has researched Capital employed in several fields, including Capital formation and Panel data.

Between 2009 and 2020, his most popular works were:

  • Tax by design (94 citations)
  • Dimensions of Tax Design (36 citations)
  • The Mirrlees Review: Conclusions and Recommendations for Reform† (29 citations)

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

  • Statistics
  • Finance
  • Macroeconomics

His scientific interests lie mostly in Public economics, Macroeconomics, Finance, Tax credit and Double taxation. His Finance research includes themes of Microeconomics and Return on investment. He has included themes like Tax reform, Indirect tax, Ad valorem tax and Value-added tax in his Tax credit study.

His work carried out in the field of Double taxation brings together such families of science as Capital formation, Capital intensity, Monetary economics, Capital employed and State income tax. His Monetary economics research is multidisciplinary, relying on both Panel data and Capital accumulation. His research investigates the connection with Capital employed and areas like Investment which intersect with concerns in Operating cash flow, Price/cash flow ratio and Linear regression.

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

Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.

Manuel Arellano;Stephen Bond.
The Review of Economic Studies (1991)

38692 Citations

Initial conditions and moment restrictions in dynamic panel data models

Richard Blundell;Stephen R. Bond.
Journal of Econometrics (1998)

24636 Citations

GMM Estimation with persistent panel data: an application to production functions

Richard Blundell;Stephen R. Bond.
Econometric Reviews (1999)

2897 Citations

Dynamic panel data models: a guide to microdata methods and practice

Steve Bond.
Research Papers in Economics (2002)

2786 Citations

GMM Estimation of Empirical Growth Models

Stephen Roy Bond;Anke Hoeffler;Jonathan Temple.
Research Papers in Economics (2001)

2191 Citations

Uncertainty and Investment Dynamics

Nick Bloom;Stephen Bond;John Van Reenen.
The Review of Economic Studies (2007)

1952 Citations

Dynamic panel data models: A guide to micro data methods and practice

Stephen R. Bond.
Portuguese Economic Journal (2002)

1701 Citations

Initial conditions and moment restrictions in dynamic panel data models

Richard Blundell;Stephen Bond.
Research Papers in Economics (1995)

1501 Citations

Dynamic Investment Models and the Firm's Financial Policy

Stephen Bond;Costas Meghir.
The Review of Economic Studies (1994)

1467 Citations

Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator

Richard Blundell;Stephen Bond;Frank Windmeijer.
Research Papers in Economics (2000)

907 Citations

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