Paul Newbold

17.4k citations
144 papers · 11.8k indexed · 5 hit papers · h-index 39

Paul Newbold

140 papers receiving 10.2k citations

Hit Papers

Spurious regressions in econometrics19732026199020081974199719741998197310002.0k3.0k4.0k

Peers

Paul Newbold
Comparison fields: 5 of 177
  • Economics and Econometrics 7.4k
  • General Economics, Econometrics and Finance 5.5k
  • Finance 3.7k
  • Management Science and Operations Research 2.0k
  • Accounting 917
Replace David F. Hendry with:
David F. Hendry United Kingdom
Helmut Lütkepohl Germany
Charles R. Nelson United States
James G. MacKinnon Canada
Russell Davidson Canada
Jörg Breitung Germany
Serena Ng United States
Gary Koop United Kingdom
Henri Theil United States
Chêng Hsiao United States
Paul Newbold relative to David F. Hendry United Kingdom David F. Hendry's profile →
Citations per field
00.5×1.5×
David F. Hendry · 1×
Citations per year

Countries citing papers authored by Paul Newbold

Since Specialization
Citations

This map shows the geographic impact of Paul Newbold'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 Paul Newbold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Newbold more than expected).

Fields of papers citing papers by Paul Newbold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Newbold. 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 Paul Newbold. The network helps show where Paul Newbold may publish in the future.

Co-authorship network of co-authors of Paul Newbold

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Newbold. A scholar is included among the top collaborators of Paul Newbold 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 Paul Newbold. Paul Newbold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 2
3 1
4 3
5
Behaviour of Dickey-Fuller Unit Root Tests Under Trend Misspecification
1
6 18
7
A Direct Test for Cointegration Between a Pair of Time Series
4
8 14
9 315
10 3
11 17
12 29
13 2
14 123
15 5
16 107
17 48
18 120
19
Spurious regressions in econometricsbreakdown →
4094
20 101

About Paul Newbold

Paul Newbold is a scholar working on General Economics, Econometrics and Finance, Finance and Management Science and Operations Research, having authored 144 papers that have together received 11.8k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (65 papers), Market Dynamics and Volatility (42 papers) and Financial Risk and Volatility Modeling (36 papers). The work is most often cited by research in General Economics, Econometrics and Finance (5.5k citations), Finance (3.7k citations) and Economics and Econometrics (7.4k citations). Paul Newbold has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Clive W. J. Granger, Stephen J. Leybourne, David I. Harvey, Christos Agiakloglou, Theodore Bos, Dimitrios V. Vougas, David T. Whitford, James A. Gentry, Tae‐Hwan Kim and Tae‐Hwan Kim. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing Research and CHEST Journal.

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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