P. C. B. Phillips
- Economics and Econometrics top 0.1%
- General Economics, Econometrics and Finance top 0.1%
- Finance top 0.2%
- Statistics and Probability top 0.2%
- Management Science and Operations Research top 2%
- Co-authors
- Sam OuliarisSteven N. DurlaufJoon‐Young ParkMichael WickensAlberto HollyHyungsik Roger MoonBernard PerronIn-Mook Choi
- Topics
- Monetary Policy and Economic Impact (12 papers)Financial Risk and Volatility Modeling (9 papers)Advanced Statistical Methods and Models (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
P. C. B. Phillips
43 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Economics and Econometrics 3.8k
- General Economics, Econometrics and Finance 3.8k
- Finance 2.6k
- Statistics and Probability 1.2k
- Management Science and Operations Research 372
Countries citing papers authored by P. C. B. Phillips
This map shows the geographic impact of P. C. B. Phillips'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 P. C. B. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. C. B. Phillips more than expected).
Fields of papers citing papers by P. C. B. Phillips
This network shows the impact of papers produced by P. C. B. Phillips. 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 P. C. B. Phillips. The network helps show where P. C. B. Phillips may publish in the future.
Co-authorship network of co-authors of P. C. B. Phillips
This figure shows the co-authorship network connecting the top 25 collaborators of P. C. B. Phillips. A scholar is included among the top collaborators of P. C. B. Phillips 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 P. C. B. Phillips. P. C. B. Phillips is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Automated Inference and the Future of Econometrics | 1 |
| 2 | 45 | |
| 3 | 84 | |
| 4 | 12 | |
| 5 | 198 | |
| 6 | Time Series Regression with a Unit Rootbreakdown → | 2009 |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 29 | |
| 10 | 5 | |
| 11 | Exercises in Econometrics | 23 |
| 12 | 4 | |
| 13 | 63 | |
| 14 | 125 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 49 | |
| 18 | 3 | |
| 19 | 85 | |
| 20 | 72 |
About P. C. B. Phillips
P. C. B. Phillips is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Finance, having authored 45 papers that have together received 6.0k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (12 papers), Financial Risk and Volatility Modeling (9 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in General Economics, Econometrics and Finance (3.8k citations), Finance (2.6k citations) and Statistics and Probability (1.2k citations). P. C. B. Phillips has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sam Ouliaris, Steven N. Durlauf, Joon‐Young Park, Michael Wickens, Alberto Holly, Hyungsik Roger Moon, Bernard Perron, In-Mook Choi, Peter Z. Schochet and Karim M. Abadir. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Biometrika.
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.