Tony Lancaster
- Economics and Econometrics top 0.2%
- Statistics and Probability top 0.5%
- General Economics, Econometrics and Finance top 1%
- General Health Professions top 2%
- Finance top 1%
- Co-authors
- Michael D. IntriligatorGuido W. ImbensStephen NickellAndrew ChesherJoseph W. HoganOrna IntratorRichard BlundellMargaret Irish
- Topics
- Statistical Methods and Inference (11 papers)Spatial and Panel Data Analysis (9 papers)Labor market dynamics and wage inequality (6 papers)
- Cited by
- Statistics and ProbabilityEconomics and EconometricsGeneral Economics, Econometrics and Finance
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Tony Lancaster
46 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Economics and Econometrics 3.1k
- Statistics and Probability 977
- General Economics, Econometrics and Finance 761
- General Health Professions 727
- Finance 642
Countries citing papers authored by Tony Lancaster
This map shows the geographic impact of Tony Lancaster'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 Tony Lancaster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Lancaster more than expected).
Fields of papers citing papers by Tony Lancaster
This network shows the impact of papers produced by Tony Lancaster. 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 Tony Lancaster. The network helps show where Tony Lancaster may publish in the future.
Co-authorship network of co-authors of Tony Lancaster
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Lancaster. A scholar is included among the top collaborators of Tony Lancaster 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 Tony Lancaster. Tony Lancaster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Introduction to Modern Bayesian Econometrics | 200 |
| 2 | 120 | |
| 3 | 11 | |
| 4 | 66 | |
| 5 | 10 | |
| 6 | 15 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | Effect of the Medicare Catastrophic Coverage Act on payer source changes among nursing home residents. | 6 |
| 10 | 2 | |
| 11 | 7 | |
| 12 | Residuals Tests and Plots with a Job Matching Application | 1 |
| 13 | 14 | |
| 14 | 31 | |
| 15 | 75 | |
| 16 | 144 | |
| 17 | 96 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 3 |
About Tony Lancaster
Tony Lancaster is a scholar working on Statistics and Probability, Economics and Econometrics and Marketing, having authored 47 papers that have together received 5.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Spatial and Panel Data Analysis (9 papers) and Labor market dynamics and wage inequality (6 papers). The work is most often cited by research in Statistics and Probability (977 citations), Economics and Econometrics (3.1k citations) and General Economics, Econometrics and Finance (761 citations). Tony Lancaster has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael D. Intriligator, Guido W. Imbens, Stephen Nickell, Andrew Chesher, Joseph W. Hogan, Orna Intrator, Richard Blundell, Margaret Irish, Owen Duncan and Burton Singer. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and The Economic 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.