Kenneth Carling

1.8k total citations
36 papers, 1.0k citations indexed

About

Kenneth Carling is a scholar working on Economics and Econometrics, Statistics and Probability and Finance. According to data from OpenAlex, Kenneth Carling has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 9 papers in Statistics and Probability and 8 papers in Finance. Recurrent topics in Kenneth Carling's work include Labor market dynamics and wage inequality (10 papers), Credit Risk and Financial Regulations (8 papers) and Banking stability, regulation, efficiency (7 papers). Kenneth Carling is often cited by papers focused on Labor market dynamics and wage inequality (10 papers), Credit Risk and Financial Regulations (8 papers) and Banking stability, regulation, efficiency (7 papers). Kenneth Carling collaborates with scholars based in Sweden, Netherlands and Germany. Kenneth Carling's co-authors include Bertil Holmlund, Tor Jacobson, Kasper Roszbach, Jesper Lindé, Katarina Richardson, Per‐Anders Edin, Laura Larsson, Sofia Lundberg, Johan Håkansson and Johan Bring and has published in prestigious journals such as The Economic Journal, Journal of Banking & Finance and Journal of Public Economics.

In The Last Decade

Kenneth Carling

32 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth Carling Sweden 15 512 251 233 213 149 36 1.0k
Chris D. Orme United Kingdom 13 779 1.5× 160 0.6× 134 0.6× 66 0.3× 170 1.1× 32 1.3k
Robert P. Trost United States 15 853 1.7× 153 0.6× 57 0.2× 158 0.7× 38 0.3× 32 1.2k
Ali al‐Nowaihi United Kingdom 12 675 1.3× 128 0.5× 17 0.1× 90 0.4× 14 0.1× 45 1.2k
Sanjit Dhami United Kingdom 12 624 1.2× 106 0.4× 17 0.1× 90 0.4× 14 0.1× 48 1.1k
Mohammed Abdellaoui France 17 1.1k 2.2× 261 1.0× 33 0.1× 90 0.4× 26 0.2× 25 1.9k
Enrico Diecidue France 16 457 0.9× 130 0.5× 49 0.2× 42 0.2× 27 0.2× 37 867
Horst Zank United Kingdom 15 450 0.9× 106 0.4× 20 0.1× 76 0.4× 32 0.2× 30 892
Geert Dhaene Belgium 12 429 0.8× 121 0.5× 65 0.3× 35 0.2× 121 0.8× 41 706
Robert Mason United States 16 268 0.5× 23 0.1× 32 0.1× 152 0.7× 115 0.8× 29 825
Mohammed Abdellaoui France 8 487 1.0× 183 0.7× 24 0.1× 83 0.4× 21 0.1× 11 914

Countries citing papers authored by Kenneth Carling

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Carling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Carling

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Carling. A scholar is included among the top collaborators of Kenneth Carling 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 Kenneth Carling. Kenneth Carling 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
1.
Rudholm, Niklas, Yujiao Li, & Kenneth Carling. (2022). How does big-box retail entry affect labor productivity in durable goods retailing? A synthetic control approach. The Annals of Regional Science. 69(1). 89–117. 1 indexed citations
2.
Carling, Kenneth, et al.. (2020). A decision support system that incorporates price volatility in risk classifying regional food security. International Journal of Risk Assessment and Management. 23(3/4). 223–223. 1 indexed citations
3.
Rudholm, Niklas, Yujiao Li, & Kenneth Carling. (2018). How Does Big-Box Entry Affect Labor Productivity in Durable Goods Retailing? A Synthetic Control Approach. How Does Big-Box Entry Affect Labor Productivity in Durable Goods Retailing? A Synthetic Control Approach. Dalarna University College Electronic Archive.
4.
Alam, Moudud, et al.. (2017). Review of the literature on credit risk modeling: development of the past 10 years. Banks and Bank Systems. 5(3). 43–60. 10 indexed citations
5.
Carling, Kenneth, Mengjie Han, & Johan Håkansson. (2012). Does Euclidean distance work well when the p-median model is applied in rural areas?. Annals of Operations Research. 201(1). 83–97. 22 indexed citations
6.
Jia, Tao, et al.. (2012). An empirical study on human mobility and its agent-based modeling. Journal of Statistical Mechanics Theory and Experiment. 2012(11). P11024–P11024. 38 indexed citations
7.
Alam, Moudud & Kenneth Carling. (2008). Computationally feasible estimation of the covariance structure in generalized linear mixed models. Journal of Statistical Computation and Simulation. 78(12). 1229–1239. 2 indexed citations
8.
Bennmarker, Helge, Kenneth Carling, & Bertil Holmlund. (2007). Do Benefit Hikes Damage Job Finding? Evidence from Swedish Unemployment Insurance Reforms. Labour. 21(1). 85–120. 14 indexed citations
9.
Carling, Kenneth, Tor Jacobson, Jesper Lindé, & Kasper Roszbach. (2006). Corporate credit risk modeling and the macroeconomy. Journal of Banking & Finance. 31(3). 845–868. 165 indexed citations
10.
Carling, Kenneth & Sofia Lundberg. (2004). Asymmetric information and distance: an empirical assessment of geographical credit rationing. Journal of Economics and Business. 57(1). 39–59. 53 indexed citations
11.
Carling, Kenneth, et al.. (2001). Do Benefit Cuts Boost Job Finding? Swedish Evidence from the 1990s*. The Economic Journal. 111(474). 766–790. 94 indexed citations
12.
Carling, Kenneth & Laura Larsson. (2000). Att utvärdera arbetsmarknadsprogram i Sverige: Rätt svar är viktigt, men vilken var nu frågan?. 6(3). 185–192. 9 indexed citations
13.
Carling, Kenneth, et al.. (2000). Do Benefit Cuts Boost Job Findings? Swedish Evidence from the 1990s. SSRN Electronic Journal. 28 indexed citations
14.
Bring, Johan & Kenneth Carling. (1998). Attrition and Misclassification of Drop-outs in the Analysis of Unemployment Duration. Journal of Official Statistics. 16(4). 321–330. 27 indexed citations
15.
Carling, Kenneth, et al.. (1998). An experimental comparison of gradient methods in econometric duration analysis. Computational Statistics & Data Analysis. 27(1). 83–97. 4 indexed citations
16.
Carling, Kenneth, et al.. (1996). Unemployment duration, unemployment benefits, and labor market programs in Sweden. Journal of Public Economics. 59(3). 313–334. 138 indexed citations
17.
Carling, Kenneth. (1995). Starting values for the iterative maximum likelihood estimator in survival analysis. Journal of Applied Statistics. 22(4). 531–535. 6 indexed citations
18.
Carling, Kenneth & Tor Jacobson. (1995). Modeling unemployment duration in a dependent competing risks framework: Identification and estimation. Lifetime Data Analysis. 1(1). 111–122. 10 indexed citations
19.
Carling, Kenneth. (1995). Unemployment Duration and Attrition. 1 indexed citations
20.
Bring, Johan & Kenneth Carling. (1994). A Paradox in the Ranking of Figure Skaters. CHANCE. 7(4). 34–37. 4 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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