David Edgerton

2.7k total citations · 2 hit papers
23 papers, 2.0k citations indexed

About

David Edgerton is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, David Edgerton has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 9 papers in General Economics, Econometrics and Finance and 5 papers in Finance. Recurrent topics in David Edgerton's work include Monetary Policy and Economic Impact (9 papers), Economics of Agriculture and Food Markets (7 papers) and Market Dynamics and Volatility (4 papers). David Edgerton is often cited by papers focused on Monetary Policy and Economic Impact (9 papers), Economics of Agriculture and Food Markets (7 papers) and Market Dynamics and Volatility (4 papers). David Edgerton collaborates with scholars based in Sweden, Norway and United Kingdom. David Edgerton's co-authors include Joakim Westerlund, Ghazi Shukur, Ilkka P. Laurila, Kyrre Rickertsen, Sonja Opper, Fredrik Andersson, Jane M. Binner, Barry E. Jones and Donald H. Dutkowsky and has published in prestigious journals such as World Development, American Journal of Agricultural Economics and Economics Letters.

In The Last Decade

David Edgerton

22 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A panel bootstrap cointegration test

2007 779 citations Joakim Westerlund, David Edgerton Economics Letters profile →
A Simple Test for Cointegration in Dependent Panels with Structural Breaks*

2008 611 citations Joakim Westerlund, David Edgerton Oxford Bulletin of Economics and Statistics profile →

Peers

David Edgerton

EE

RESE

GEEF

EE

POLLU

Muhammad Zakaria Pakistan

Ayfer Gedikli Türkiye

Yi‐Bin Chiu China

Hasan Murat Ertuğrul Türkiye

Durmuş Çağrı Yıldırım Türkiye

John Nkwoma Inekwe Australia

Veli Yılancı Türkiye

Kizito Uyi Ehigiamusoe Malaysia

Godwin Olasehinde‐Williams Türkiye

Nadia Doytch United States

Muhammad Zakaria Pakistan

David Edgerton

1.7k ×0.9

EE

804 ×1.2

RESE

292 ×0.8

GEEF

407 ×1.4

EE

322 ×1.2

POLLU

Citations per year, relative to David Edgerton David Edgerton (= 1×) peers Muhammad Zakaria

Countries citing papers authored by David Edgerton

Since Specialization

Citations

This map shows the geographic impact of David Edgerton's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Edgerton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Edgerton more than expected).

Fields of papers citing papers by David Edgerton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Edgerton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Edgerton. The network helps show where David Edgerton may publish in the future.

Co-authorship network of co-authors of David Edgerton

This figure shows the co-authorship network connecting the top 25 collaborators of David Edgerton. A scholar is included among the top collaborators of David Edgerton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Edgerton. David Edgerton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Andersson, Fredrik, David Edgerton, & Sonja Opper. (2013). A Matter of Time: Revisiting Growth Convergence in China. World Development. 45. 239–251. 36 indexed citations

2.

Westerlund, Joakim, David Edgerton, & Sonja Opper. (2010). Why is Chinese provincial output diverging?. Journal of Asian Economics. 21(4). 333–344. 11 indexed citations

3.

Westerlund, Joakim & David Edgerton. (2008). A Simple Test for Cointegration in Dependent Panels with Structural Breaks*. Oxford Bulletin of Economics and Statistics. 70(5). 665–704. 611 indexed citations breakdown →

4.

Westerlund, Joakim & David Edgerton. (2007). A panel bootstrap cointegration test. Economics Letters. 97(3). 185–190. 779 indexed citations breakdown →

5.

Westerlund, Joakim & David Edgerton. (2007). Simple Tests for Cointegration in Dependent Panels with Structural Breaks. SSRN Electronic Journal. 13 indexed citations

6.

Jones, Barry E., et al.. (2007). A NOTE ON THE OPTIMAL LEVEL OF MONETARY AGGREGATION IN THE UNITED KINGDOM. Macroeconomic Dynamics. 12(1). 117–131. 12 indexed citations

7.

Westerlund, Joakim & David Edgerton. (2006). New Improved Tests for Cointegration with Structural Breaks. Journal of Time Series Analysis. 28(2). 188–224. 90 indexed citations

8.

Jones, Barry E., et al.. (2004). Toward a Unified Approach to Testing for Weak Separability. Economics bulletin. 3(20). 1–7. 7 indexed citations

9.

Edgerton, David, et al.. (2000). A Model for the Analysis of Sick Leave in Sweden. RePEc: Research Papers in Economics. 1 indexed citations

10.

Edgerton, David & Ghazi Shukur. (1999). Testing autocorrelation in a system perspective testing autocorrelation. Econometric Reviews. 18(4). 343–386. 66 indexed citations

11.

Edgerton, David. (1997). Weak Separability and the Estimation of Elasticities in Multistage Demand Systems. American Journal of Agricultural Economics. 79(1). 62–79. 145 indexed citations

12.

Edgerton, David & Ghazi Shukur. (1996). Some questions concerning dynamic almost ideal demand systems. Applied Economics Letters. 3(11). 693–695. 1 indexed citations

13.

Edgerton, David. (1996). Should stochastic or non-stochastic exogenous variables be used in Monte Carlo experiments?. Economics Letters. 53(2). 153–159. 10 indexed citations

14.

Edgerton, David, et al.. (1996). The Econometrics of Demand Systems: With Applications to Food Demand in the Nordic Countries. Lund University Publications (Lund University). 60 indexed citations

15.

Edgerton, David. (1996). When Do Estimated Demand Systems Automatically Satisfy Adding Up. Lund University Publications (Lund University). 2 indexed citations

16.

Edgerton, David, et al.. (1994). Until the Lamb of God appears-- : the 1991 Parliamentary election : Sweden chooses a new political system. 2 indexed citations

17.

Edgerton, David, et al.. (1994). CRITICAL VALUES FOR THECUSUMSQSTATISTIC IN MEDIUM AND LARGE SIZED SAMPLES. Oxford Bulletin of Economics and Statistics. 56(3). 355–365. 17 indexed citations

18.

Edgerton, David, et al.. (1993). ON THE ESTIMATION OF SEPARABLE DEMAND MODELS. Journal of agricultural and resource economics. 18(2). 141–146. 33 indexed citations

19.

Edgerton, David. (1973). The Combined Use of Predictors and Taylor Series in Nonlinear Interdependent Systems. Économie appliquée. 26(2). 537–559. 1 indexed citations

20.

Edgerton, David. (1972). Some Properties of Two Stage Least Squares as Applied to Nonlinear Models. International Economic Review. 13(1). 26–26. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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