Will Dobbie

4.1k total citations · 3 hit papers
41 papers, 1.7k citations indexed

About

Will Dobbie is a scholar working on Economics and Econometrics, Accounting and Finance. According to data from OpenAlex, Will Dobbie has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Economics and Econometrics, 15 papers in Accounting and 10 papers in Finance. Recurrent topics in Will Dobbie's work include Financial Literacy, Pension, Retirement Analysis (15 papers), Housing Market and Economics (13 papers) and School Choice and Performance (10 papers). Will Dobbie is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (15 papers), Housing Market and Economics (13 papers) and School Choice and Performance (10 papers). Will Dobbie collaborates with scholars based in United States, United Kingdom and Sweden. Will Dobbie's co-authors include Roland G. Fryer, Crystal Yang, Jae Song, Jacob Goldin, David Arnold, Paul Goldsmith-Pinkham, Paige Marta Skiba, Peter Hull, Neale Mahoney and Vikram Pathania and has published in prestigious journals such as The Journal of Finance, American Economic Review and The Quarterly Journal of Economics.

In The Last Decade

Will Dobbie

40 papers receiving 1.6k citations

Hit Papers

Are High-Quality Schools Enough to Increase Achievement A... 2011 2026 2016 2021 2011 2018 2018 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
Will Dobbie United States 18 660 645 492 348 245 41 1.7k
Terri Friedline United States 21 610 0.9× 356 0.6× 222 0.5× 778 2.2× 220 0.9× 64 1.4k
Mark Hoekstra United States 18 346 0.5× 454 0.7× 664 1.3× 127 0.4× 54 0.2× 39 1.4k
Şule Alan United Kingdom 19 454 0.7× 210 0.3× 205 0.4× 354 1.0× 126 0.5× 48 1.2k
Jonathan Meer United States 20 689 1.0× 595 0.9× 202 0.4× 205 0.6× 65 0.3× 45 1.6k
Eric R. Eide United States 19 713 1.1× 566 0.9× 1.3k 2.5× 106 0.3× 57 0.2× 40 2.1k
Éric Maurin France 27 952 1.4× 844 1.3× 466 0.9× 82 0.2× 98 0.4× 91 2.1k
M. Daniele Paserman United States 19 513 0.8× 767 1.2× 431 0.9× 98 0.3× 33 0.1× 33 1.5k
McKinley L. Blackburn United States 21 1.1k 1.7× 747 1.2× 179 0.4× 142 0.4× 85 0.3× 59 1.9k
Michael Rosholm Denmark 26 1.2k 1.9× 777 1.2× 144 0.3× 155 0.4× 178 0.7× 111 2.0k
Thomas Cornelißen Germany 15 399 0.6× 284 0.4× 209 0.4× 103 0.3× 33 0.1× 37 1.1k

Countries citing papers authored by Will Dobbie

Since Specialization
Citations

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

Fields of papers citing papers by Will Dobbie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Dobbie

This figure shows the co-authorship network connecting the top 25 collaborators of Will Dobbie. A scholar is included among the top collaborators of Will Dobbie 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 Will Dobbie. Will Dobbie 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.
Dobbie, Will, et al.. (2024). Algorithmic Recommendations When the Stakes Are High: Evidence from Judicial Elections. AEA Papers and Proceedings. 114. 633–637.
2.
Dobbie, Will, et al.. (2023). Algorithmic Recommendations and Human Discretion. SSRN Electronic Journal. 4 indexed citations
3.
Dobbie, Will & Crystal Yang. (2021). The Economic Costs of Pretrial Detention. Brookings Papers on Economic Activity. 2021(1). 251–291. 7 indexed citations
4.
Dobbie, Will, Andres Liberman, Daniel Paravisini, & Vikram Pathania. (2021). Measuring Bias in Consumer Lending. The Review of Economic Studies. 88(6). 2799–2832. 60 indexed citations
5.
Dobbie, Will & Crystal Yang. (2021). The US Pretrial System: Balancing Individual Rights and Public Interests. The Journal of Economic Perspectives. 35(4). 49–70. 8 indexed citations
6.
Dobbie, Will & Crystal Yang. (2021). The Us Pretrial System: Balancing Individual Rights and Public Interests. SSRN Electronic Journal. 3 indexed citations
7.
Dobbie, Will & Jae Song. (2020). Targeted Debt Relief and the Origins of Financial Distress: Experimental Evidence from Distressed Credit Card Borrowers. American Economic Review. 110(4). 984–1018. 27 indexed citations
8.
Dee, Thomas S., Will Dobbie, Brian Jacob, & Jonah Rockoff. (2019). The Causes and Consequences of Test Score Manipulation: Evidence from the New York Regents Examinations. American Economic Journal Applied Economics. 11(3). 382–423. 45 indexed citations
9.
Yang, Crystal & Will Dobbie. (2019). Equal Protection Under Algorithms: A New Statistical and Legal Framework. SSRN Electronic Journal. 2 indexed citations
10.
Dobbie, Will & Jae Song. (2019). Targeted Debt Relief and the Origins of Financial Distress: Experimental Evidence from Distressed Credit Card Borrowers. SSRN Electronic Journal. 2 indexed citations
11.
Dobbie, Will, Jacob Goldin, & Crystal Yang. (2018). The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges. American Economic Review. 108(2). 201–240. 306 indexed citations breakdown →
12.
Arnold, David, Will Dobbie, & Crystal Yang. (2018). Racial Bias in Bail Decisions*. The Quarterly Journal of Economics. 133(4). 1885–1932. 200 indexed citations breakdown →
13.
Dobbie, Will, Benjamin J. Keys, & Neale Mahoney. (2017). Credit Market Consequences of Credit Flag Removals. SSRN Electronic Journal. 2 indexed citations
14.
Arnold, David, Will Dobbie, & Crystal Yang. (2017). Racial Bias in Bail Decisions. RePEc: Research Papers in Economics. 2 indexed citations
15.
Dobbie, Will & Roland G. Fryer. (2014). The Impact of Attending a School with High-Achieving Peers: Evidence from the New York City Exam Schools. American Economic Journal Applied Economics. 6(3). 58–75. 15 indexed citations
16.
Dobbie, Will & Roland G. Fryer. (2011). Exam High Schools and Academic Achievement: Evidence from New York City. NBER Working Paper No. 17286.. National Bureau of Economic Research. 12 indexed citations
17.
Dobbie, Will & Roland G. Fryer. (2011). Getting beneath the Veil of Effective Schools: Evidence from New York City. NBER Working Paper No. 17632.. National Bureau of Economic Research. 19 indexed citations
18.
Dobbie, Will & Paige Marta Skiba. (2011). Information Asymmetries in Consumer Credit Markets: Evidence from Two Payday Lending Firms. SSRN Electronic Journal. 1 indexed citations
19.
Dobbie, Will & Roland G. Fryer. (2011). Are High-Quality Schools Enough to Increase Achievement Among the Poor? Evidence from the Harlem Children's Zone. American Economic Journal Applied Economics. 3(3). 158–187. 323 indexed citations breakdown →
20.
Dobbie, Will & Roland G. Fryer. (2009). Are High Quality Schools Enough to Close the Achievement Gap? Evidence from a Social Experiment in Harlem. NBER Working Paper No. 15473.. National Bureau of Economic Research. 24 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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