John Sabelhaus

3.4k total citations · 1 hit paper
60 papers, 1.7k citations indexed

About

John Sabelhaus is a scholar working on Accounting, Economics and Econometrics and Demography. According to data from OpenAlex, John Sabelhaus has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Accounting, 30 papers in Economics and Econometrics and 19 papers in Demography. Recurrent topics in John Sabelhaus's work include Financial Literacy, Pension, Retirement Analysis (46 papers), Retirement, Disability, and Employment (17 papers) and Housing Market and Economics (14 papers). John Sabelhaus is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (46 papers), Retirement, Disability, and Employment (17 papers) and Housing Market and Economics (14 papers). John Sabelhaus collaborates with scholars based in United States and United Kingdom. John Sabelhaus's co-authors include Jesse Bricker, Kevin B. Moore, Arthur B. Kennickell, Alice M. Henriques, Barry Bosworth, Jae Song, Jacob Krimmel, Gary Burtless, Joanne W. Hsu and Lisa Dettling and has published in prestigious journals such as American Economic Review, The Review of Economics and Statistics and Journal of Monetary Economics.

In The Last Decade

John Sabelhaus

57 papers receiving 1.5k citations

Hit Papers

Changes in U.S. Family Finances from 2007 to 2010: Eviden... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Sabelhaus United States 19 1.1k 1.1k 471 306 298 60 1.7k
Jesse Bricker United States 18 939 0.8× 1.0k 0.9× 573 1.2× 142 0.5× 317 1.1× 61 1.6k
Annika Sundén Sweden 17 1.6k 1.5× 1.0k 0.9× 637 1.4× 693 2.3× 167 0.6× 36 2.2k
Dimitris Christelis Italy 16 1.0k 0.9× 927 0.9× 453 1.0× 310 1.0× 120 0.4× 52 1.4k
Wojciech Kopczuk United States 22 921 0.8× 1.5k 1.4× 196 0.4× 168 0.5× 480 1.6× 48 2.0k
Mario Padula Italy 15 1.4k 1.2× 1.2k 1.1× 503 1.1× 404 1.3× 111 0.4× 54 1.8k
Jagadeesh Gokhale United States 13 654 0.6× 802 0.7× 125 0.3× 343 1.1× 108 0.4× 69 1.2k
Julie R. Agnew United States 12 1.2k 1.0× 833 0.8× 519 1.1× 437 1.4× 88 0.3× 27 1.6k
Susan Thorp Australia 21 723 0.6× 610 0.6× 324 0.7× 446 1.5× 54 0.2× 98 1.2k
Claus Thustrup Kreiner Denmark 20 837 0.7× 1.7k 1.5× 88 0.2× 139 0.5× 332 1.1× 60 2.1k
Daniel Waldenström Sweden 21 319 0.3× 985 0.9× 358 0.8× 80 0.3× 602 2.0× 88 1.6k

Countries citing papers authored by John Sabelhaus

Since Specialization
Citations

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

Fields of papers citing papers by John Sabelhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Sabelhaus

This figure shows the co-authorship network connecting the top 25 collaborators of John Sabelhaus. A scholar is included among the top collaborators of John Sabelhaus 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 John Sabelhaus. John Sabelhaus 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.
Bloom, Nicholas, et al.. (2023). Evaluating the Great Micro Moderation. SSRN Electronic Journal.
2.
Sabelhaus, John. (2022). The Current State of U.S. Workplace Retirement Plan Coverage. SSRN Electronic Journal. 1 indexed citations
3.
Henriques, Alice M., et al.. (2016). Is the U.S. Retirement System Contributing to Rising Wealth Inequality?. RSF The Russell Sage Foundation Journal of the Social Sciences. 2(6). 59–85. 21 indexed citations
4.
Bricker, Jesse, Alice Henriques Volz, Jacob Krimmel, & John Sabelhaus. (2015). Measuring Income and Wealth at the Top Using Administrative and Survey Data. SSRN Electronic Journal. 14 indexed citations
5.
Bricker, Jesse, Alice M. Henriques, Jacob Krimmel, & John Sabelhaus. (2015). Measuring Income and Wealth at the Top Using Administrative and Survey Data. SSRN Electronic Journal. 15 indexed citations
6.
Bricker, Jesse, et al.. (2015). Measuring Income and Wealth at the Top Using Administrative and Survey Data. Finance and Economics Discussion Series. 2015.0(30). 1–63. 14 indexed citations
7.
Bricker, Jesse, Lisa Dettling, Alice M. Henriques, et al.. (2014). Changes in U.S. Family Finances from 2010 to 2013: Evidence from the Survey of Consumer Finances. Federal Reserve Bulletin. 100.0(4). 0–0. 163 indexed citations
8.
Sabelhaus, John, et al.. (2013). Early Withdrawals from Retirement Accounts During the Great Recession. Finance and Economics Discussion Series. 2013.0(22). 1–28. 2 indexed citations
9.
Ackerman, Samuel & John Sabelhaus. (2012). The Effect of Self-Reported Transitory Income Shocks on Household Spending. Finance and Economics Discussion Series. 2012.0(64). 1–36. 8 indexed citations
10.
Sabelhaus, John, et al.. (2012). Is the Consumer Expenditure Survey Representative by Income?. SSRN Electronic Journal. 8 indexed citations
11.
Sabelhaus, John, et al.. (2006). Social Security Benefit Uncertainty under Individual Accounts. SSRN Electronic Journal. 1 indexed citations
12.
Sabelhaus, John, et al.. (2005). Behavioral Effects of Social Security Reform in a Dynamic Micro-Simulation with Life-Cycle Agents. SSRN Electronic Journal. 1 indexed citations
13.
Sabelhaus, John. (2000). Modeling IRA Accumulation and Withdrawals. National Tax Journal. 53(4.1). 865–875. 2 indexed citations
14.
Sabelhaus, John & Jeffrey A. Groen. (2000). Can Permanent-Income Theory Explain Cross-Sectional Consumption Patterns?. The Review of Economics and Statistics. 82(3). 431–438. 35 indexed citations
15.
Sabelhaus, John, et al.. (1999). Disposition of Lump-Sum Pension Distributions: Evidence from Tax Returns. National Tax Journal. 52(3). 593–613. 26 indexed citations
16.
Sabelhaus, John & Ulrike Schneider. (1997). Measuring The Distribution Of Well-Being: Why Income and Consumption Give Different Answers. Econstor (Econstor). 5 indexed citations
17.
Gokhale, Jagadeesh, Laurence J. Kotlikoff, John Sabelhaus, Barry Bosworth, & Robert Haveman. (1996). Understanding the Postwar Decline in U.S. Saving: A Cohort Analysis. Brookings Papers on Economic Activity. 1996(1). 315–315. 54 indexed citations
18.
Acs, Gregory & John Sabelhaus. (1995). Trends in out-of-pocket spending on health care, 1980-92.. PubMed. 118(12). 35–45. 10 indexed citations
19.
Sabelhaus, John & Joyce Manchester. (1995). Baby Boomers and Their Parents: How Does Their Economic Well-Being Compare in Middle Age?. The Journal of Human Resources. 30(4). 791–791. 24 indexed citations
20.
Sabelhaus, John. (1990). Testing Neoclassical Consumer Theory with Aggregate and Household Data. Applied Economics. 22(11). 1471–1478. 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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