Andy Snell

2.3k total citations · 1 hit paper
32 papers, 1.6k citations indexed

About

Andy Snell is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Andy Snell has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 12 papers in General Economics, Econometrics and Finance and 9 papers in Finance. Recurrent topics in Andy Snell's work include Labor market dynamics and wage inequality (10 papers), Monetary Policy and Economic Impact (10 papers) and Economic Policies and Impacts (7 papers). Andy Snell is often cited by papers focused on Labor market dynamics and wage inequality (10 papers), Monetary Policy and Economic Impact (10 papers) and Economic Policies and Impacts (7 papers). Andy Snell collaborates with scholars based in United Kingdom, Germany and United States. Andy Snell's co-authors include Yongcheol Shin, George Kapetanios, Richard Pierse, Ian Tonks, Jonathan P. Thomas, Apostolis Philippopoulos, Ben Lockwood, Pedro S. Martins, Michael Landesmann and Heiko Stüber and has published in prestigious journals such as The Economic Journal, Journal of Econometrics and Journal of Labor Economics.

In The Last Decade

Andy Snell

29 papers receiving 1.5k 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.

Testing for a unit root in the nonlinear STAR framework

2002 1.1k citations George Kapetanios, Yongcheol Shin et al. Journal of Econometrics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andy Snell United Kingdom	12	1.4k	1.0k	499	183	98	32	1.6k
L. Vanessa Smith United Kingdom	20	1.6k 1.1×	1.1k 1.1×	630 1.3×	203 1.1×	90 0.9×	31	2.0k
Jean‐Pierre Urbain Netherlands	20	1.1k 0.8×	807 0.8×	496 1.0×	109 0.6×	53 0.5×	44	1.4k
Scott M. Weiner United States	7	967 0.7×	648 0.6×	673 1.3×	139 0.8×	144 1.5×	10	1.4k
Robert Sollis United Kingdom	13	852 0.6×	542 0.5×	388 0.8×	129 0.7×	68 0.7×	26	1.0k
Margie Tieslau United States	13	1.0k 0.7×	679 0.7×	422 0.8×	96 0.5×	33 0.3×	16	1.3k
Benoît Perron Canada	16	1.1k 0.8×	681 0.7×	301 0.6×	116 0.6×	31 0.3×	34	1.3k
Jeroen Kremers United States	11	1.2k 0.8×	1.0k 1.0×	594 1.2×	120 0.7×	99 1.0×	29	1.6k
Tolga Omay Türkiye	19	973 0.7×	515 0.5×	231 0.5×	226 1.2×	61 0.6×	76	1.2k
Nikitas Pittis Greece	19	914 0.7×	698 0.7×	565 1.1×	84 0.5×	81 0.8×	64	1.1k
Stéphane Dées Germany	20	1.5k 1.1×	1.2k 1.2×	637 1.3×	345 1.9×	121 1.2×	60	2.0k

Countries citing papers authored by Andy Snell

Since Specialization

Citations

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

Fields of papers citing papers by Andy Snell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy Snell

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

All Works

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20 of 20 papers shown

1.

Snell, Andy, et al.. (2023). Job security, asymmetric information, and wage rigidity. European Economic Review. 161. 104622–104622.

2.

Kanbur, Ravi & Andy Snell. (2018). Inequality Indices as Tests of Fairness. The Economic Journal. 129(621). 2216–2239. 5 indexed citations

3.

Snell, Andy, et al.. (2018). Downward Real Wage Rigidity and Equal Treatment Wage Contracts: Theory and Evidence. SSRN Electronic Journal.

4.

Kanbur, Ravi & Andy Snell. (2017). Inequality Indices as Tests of Fairness. SSRN Electronic Journal. 1 indexed citations

5.

Snell, Andy, Jonathan P. Thomas, & Zhewei Wang. (2014). A COMPETITIVE MODEL OF WORKER REPLACEMENT AND WAGE RIGIDITY. Economic Inquiry. 53(1). 419–430.

6.

Snell, Andy & Jonathan P. Thomas. (2010). Labor Contracts, Equal Treatment, and Wage-Unemployment Dynamics. American Economic Journal Macroeconomics. 2(3). 98–127. 20 indexed citations

7.

Martins, Pedro S., Andy Snell, & Jonathan P. Thomas. (2010). Downward Wage Rigidity in a Model of Equal Treatment Contracting*. Scandinavian Journal of Economics. 112(4). 841–863. 2 indexed citations

8.

Shin, Yongcheol & Andy Snell. (2006). Mean group tests for stationarity in heterogeneous panels. Econometrics Journal. 9(1). 123–158. 15 indexed citations

9.

Thomas, Jonathan & Andy Snell. (2006). Labour Contracts, Equal Treatment and Wage-Unemployment Dynamics. SSRN Electronic Journal. 4 indexed citations

10.

Kapetanios, George, Yongcheol Shin, & Andy Snell. (2006). TESTING FOR COINTEGRATION IN NONLINEAR SMOOTH TRANSITION ERROR CORRECTION MODELS. Econometric Theory. 22(2). 185 indexed citations

11.

Snell, Andy & Ian Tonks. (2003). A THEORETICAL ANALYSIS OF INSTITUTIONAL INVESTORS’ TRADING COSTS IN AUCTION AND DEALER MARKETS. Explore Bristol Research. 5 indexed citations

12.

Serlenga, Laura, Yongcheol Shin, & Andy Snell. (2002). A Panel Data Approach to testing Anomaly Effects in Factor Pricing Models. RePEc: Research Papers in Economics. 1 indexed citations

13.

Kapetanios, George, Yongcheol Shin, & Andy Snell. (2002). Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics. 112(2). 359–379. 1143 indexed citations breakdown →

14.

Tonks, Ian & Andy Snell. (1996). Using time series methods to assess inventory and information effects in a dealer market in illiquid stocks. 1 indexed citations

15.

Lockwood, Ben, Apostolis Philippopoulos, & Andy Snell. (1996). Fiscal Policy, Public Debt Stabilisation and Politics: Theory and UK Evidence. The Economic Journal. 106(437). 894–894. 28 indexed citations

16.

Snell, Andy. (1996). A test of purchasing power parity based on the largest principal component of real exchange rates of the main OECD economies. Economics Letters. 51(2). 225–231. 17 indexed citations

17.

Pierse, Richard & Andy Snell. (1995). Temporal aggregation and the power of tests for a unit root. Journal of Econometrics. 65(2). 333–345. 87 indexed citations

18.

Snell, Andy & Ian Tonks. (1995). Determinants of Price Quote Revisions on the London Stock Exchange. The Economic Journal. 105(428). 77–77. 2 indexed citations

19.

Landesmann, Michael & Andy Snell. (1993). Structural shifts in the manufacturing export performance of oecd economies. Journal of Applied Econometrics. 8(2). 149–162. 8 indexed citations

20.

Snell, Andy & Ian Tonks. (1988). The sweet taste of information: a study of the demand for new brands in the UK confectionery industry. Applied Economics. 20(8). 1041–1055. 1 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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