Kim Peijnenburg

1.0k total citations
24 papers, 481 citations indexed

About

Kim Peijnenburg is a scholar working on Accounting, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Kim Peijnenburg has authored 24 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Accounting, 12 papers in Economics and Econometrics and 10 papers in General Health Professions. Recurrent topics in Kim Peijnenburg's work include Financial Literacy, Pension, Retirement Analysis (20 papers), Global Health Care Issues (10 papers) and Housing Market and Economics (10 papers). Kim Peijnenburg is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (20 papers), Global Health Care Issues (10 papers) and Housing Market and Economics (10 papers). Kim Peijnenburg collaborates with scholars based in France, Netherlands and United Kingdom. Kim Peijnenburg's co-authors include Stephen G. Dimmock, Olivia S. Mitchell, Roy Kouwenberg, Bas J. M. Werker, Theo Nijman, Stefan Staubli, Monika Bütler, Steffen Andersen and Kasper Meisner Nielsen and has published in prestigious journals such as Journal of Financial Economics, Review of Financial Studies and The Economic Journal.

In The Last Decade

Kim Peijnenburg

20 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Peijnenburg France 10 298 237 168 149 106 24 481
Alessandro Previtero United States 9 457 1.5× 310 1.3× 220 1.3× 181 1.2× 125 1.2× 21 632
Jeffrey R. Gerlach United States 11 212 0.7× 249 1.1× 188 1.1× 106 0.7× 52 0.5× 24 464
Narat Charupat Canada 12 186 0.6× 300 1.3× 310 1.8× 87 0.6× 37 0.3× 29 533
Cindy Soo United States 6 443 1.5× 409 1.7× 161 1.0× 127 0.9× 41 0.4× 7 594
Michael Ziegelmeyer Luxembourg 13 235 0.8× 223 0.9× 142 0.8× 67 0.4× 58 0.5× 41 369
Alen Nosić Germany 6 252 0.8× 210 0.9× 273 1.6× 28 0.2× 14 0.1× 9 478
Wade D. Pfau United States 12 210 0.7× 182 0.8× 110 0.7× 189 1.3× 78 0.7× 71 459
Dale L. Domian Canada 12 203 0.7× 306 1.3× 291 1.7× 47 0.3× 16 0.2× 34 484
Chris Robinson Canada 10 316 1.1× 162 0.7× 185 1.1× 166 1.1× 51 0.5× 27 456
Pauline Shum Canada 12 286 1.0× 272 1.1× 236 1.4× 50 0.3× 26 0.2× 25 501

Countries citing papers authored by Kim Peijnenburg

Since Specialization
Citations

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

Fields of papers citing papers by Kim Peijnenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Peijnenburg

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Peijnenburg. A scholar is included among the top collaborators of Kim Peijnenburg 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 Kim Peijnenburg. Kim Peijnenburg 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.
Andersen, Steffen, Stephen G. Dimmock, Kasper Meisner Nielsen, & Kim Peijnenburg. (2024). Extrapolators and Contrarians: Forecast Bias and Household Stock Trading. SSRN Electronic Journal.
2.
Kouwenberg, Roy, et al.. (2024). Ambiguity attitudes for real-world sources: field evidence from a large sample of investors. Experimental Economics. 27(3). 548–581. 3 indexed citations
3.
Peijnenburg, Kim, et al.. (2021). Breaking Bad: How Health Shocks Prompt Crime. SSRN Electronic Journal. 1 indexed citations
4.
Dimmock, Stephen G., Roy Kouwenberg, Olivia S. Mitchell, & Kim Peijnenburg. (2020). Household Portfolio Underdiversification and Probability Weighting: Evidence from the Field. Review of Financial Studies. 34(9). 4524–4563. 30 indexed citations
5.
Dimmock, Stephen G., Roy Kouwenberg, Olivia S. Mitchell, & Kim Peijnenburg. (2018). Household Portfolio Underdiversification and Probability Weighting: Evidence from the Field. SSRN Electronic Journal.
6.
Dimmock, Stephen G., Roy Kouwenberg, Olivia S. Mitchell, & Kim Peijnenburg. (2016). Ambiguity aversion and household portfolio choice puzzles: Empirical evidence. Journal of Financial Economics. 119(3). 559–577. 203 indexed citations
7.
Bütler, Monika, Kim Peijnenburg, & Stefan Staubli. (2016). How much do means-tested benefits reduce the demand for annuities?. Journal of Pensions Economics and Finance. 16(4). 419–449. 20 indexed citations
8.
Dimmock, Stephen G., Roy Kouwenberg, Olivia S. Mitchell, & Kim Peijnenburg. (2016). Online Appendix for 'Ambiguity Aversion and Household Portfolio Choice Puzzles: Empirical Evidence'. SSRN Electronic Journal.
9.
Peijnenburg, Kim, Theo Nijman, & Bas J. M. Werker. (2016). The annuity puzzle remains a puzzle. Journal of Economic Dynamics and Control. 70. 18–35. 45 indexed citations
10.
Dimmock, Stephen G., Roy Kouwenberg, Olivia S. Mitchell, & Kim Peijnenburg. (2015). Estimating ambiguity preferences and perceptions in multiple prior models: Evidence from the field. Journal of Risk and Uncertainty. 51(3). 219–244.
11.
Peijnenburg, Kim, Theo Nijman, & Bas J. M. Werker. (2015). Health Cost Risk: A Potential Solution To the Annuity Puzzle. The Economic Journal. 127(603). 1598–1625. 35 indexed citations
12.
Dimmock, Stephen G., Roy Kouwenberg, Olivia S. Mitchell, & Kim Peijnenburg. (2012). Ambiguity Attitudes and Economic Behavior: Evidence from a U.S. Household Survey. SSRN Electronic Journal. 7 indexed citations
13.
Dimmock, Stephen G., Roy Kouwenberg, Olivia S. Mitchell, & Kim Peijnenburg. (2012). Ambiguity Attitudes and Economic Behavior: Evidence from a U.S. Household Survey. SSRN Electronic Journal. 1 indexed citations
14.
Peijnenburg, Kim, Theo Nijman, & Bas J. M. Werker. (2011). Health Cost Risk: A Potential Solution to the Annuity Puzzle. SSRN Electronic Journal. 11 indexed citations
15.
Peijnenburg, Kim, Theo Nijman, & Bas J. M. Werker. (2011). The Annuity Puzzle Remains a Puzzle. SSRN Electronic Journal. 4 indexed citations
16.
Peijnenburg, Kim, Theo Nijman, & Bas J. M. Werker. (2011). The Annuity Puzzle Remains a Puzzle. SSRN Electronic Journal. 2 indexed citations
17.
Bütler, Monika, Kim Peijnenburg, & Stefan Staubli. (2011). How Much Do Means-Tested Benefits Reduce the Demand for Annuities?. SSRN Electronic Journal. 9 indexed citations
18.
Peijnenburg, Kim. (2011). Life-Cycle Asset Allocation with Ambiguity Aversion and Learning. SSRN Electronic Journal. 9 indexed citations
19.
Bütler, Monika, Kim Peijnenburg, & Stefan Staubli. (2011). How Much Do Means-Tested Benefits Reduce the Demand for Annuities?. SSRN Electronic Journal. 3 indexed citations
20.
Bütler, Monika, Stefan Staubli, & Kim Peijnenburg. (2010). Do means-tested benefits reduce the demand for annuities? - Evidence from Switzerland. Econstor (Econstor). 5 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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