Day Manoli

1.6k total citations · 1 hit paper
15 papers, 861 citations indexed

About

Day Manoli is a scholar working on Economics and Econometrics, Gender Studies and Accounting. According to data from OpenAlex, Day Manoli has authored 15 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 9 papers in Gender Studies and 7 papers in Accounting. Recurrent topics in Day Manoli's work include Gender, Labor, and Family Dynamics (9 papers), Retirement, Disability, and Employment (7 papers) and Financial Literacy, Pension, Retirement Analysis (6 papers). Day Manoli is often cited by papers focused on Gender, Labor, and Family Dynamics (9 papers), Retirement, Disability, and Employment (7 papers) and Financial Literacy, Pension, Retirement Analysis (6 papers). Day Manoli collaborates with scholars based in United States, Germany and Austria. Day Manoli's co-authors include Andrea Weber, Raj Chetty, Adam Guren, Nicholas Turner, Saurabh Bhargava, Mathis Wagner, Kathleen J. Mullen, John Guyton and Adam Looney and has published in prestigious journals such as American Economic Review, Economic Inquiry and American Economic Journal Economic Policy.

In The Last Decade

Day Manoli

14 papers receiving 797 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.

Are Micro and Macro Labor Supply Elasticities Consistent? A Review of Evidence on the Intensive and Extensive Margins

2011 428 citations Raj Chetty, Adam Guren et al. American Economic Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Day Manoli United States	7	625	273	249	246	128	15	861
Javier Díaz‐Giménez Spain	11	951 1.5×	167 0.6×	659 2.6×	336 1.4×	173 1.4×	27	1.2k
David Altig United States	15	958 1.5×	150 0.5×	297 1.2×	552 2.2×	60 0.5×	58	1.2k
Robert McClelland United States	7	487 0.8×	149 0.5×	311 1.2×	127 0.5×	26 0.2×	16	662
Avia Spivak Israel	11	466 0.7×	118 0.4×	341 1.4×	89 0.4×	204 1.6×	31	843
Ben J. Heijdra Netherlands	18	878 1.4×	54 0.2×	270 1.1×	223 0.9×	164 1.3×	75	1.1k
Adam Guren United States	11	845 1.4×	190 0.7×	329 1.3×	294 1.2×	45 0.4×	22	1.0k
Alice M. Henriques United States	12	394 0.6×	94 0.3×	358 1.4×	71 0.3×	64 0.5×	19	611
Laurence S. Seidman United States	13	379 0.6×	143 0.5×	197 0.8×	144 0.6×	45 0.4×	85	539
Douglas W. Elmendorf United States	18	870 1.4×	86 0.3×	377 1.5×	454 1.8×	94 0.7×	52	1.2k
Jan Walliser United States	12	514 0.8×	152 0.6×	369 1.5×	54 0.2×	180 1.4×	25	799

Countries citing papers authored by Day Manoli

Since Specialization

Citations

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

Fields of papers citing papers by Day Manoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Day Manoli

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

All Works

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15 of 15 papers shown

1.

Guyton, John, et al.. (2024). The Effects of EITC Correspondence Audits on Low-Income Earners. Tax Policy and the Economy. 38. 163–207. 1 indexed citations

2.

Manoli, Day, et al.. (2019). Long-Term Treatment Effects of Job Search Assistance and Training: A Summary of Recent Evidence. AEA Papers and Proceedings. 109. 340–343. 1 indexed citations

3.

Manoli, Day & Nicholas Turner. (2018). Cash-on-Hand and College Enrollment: Evidence from Population Tax Data and the Earned Income Tax Credit. American Economic Journal Economic Policy. 10(2). 242–271. 64 indexed citations

4.

Guyton, John, et al.. (2017). Reminders and Recidivism: Using Administrative Data to Characterize Nonfilers and Conduct EITC Outreach. American Economic Review. 107(5). 471–475. 11 indexed citations

5.

Guyton, John, et al.. (2016). Reminders & Recidivism: Evidence from Tax Filing & EITC Participation Among Low-Income Nonfilers. SSRN Electronic Journal. 2 indexed citations

6.

Manoli, Day & Andrea Weber. (2016). Nonparametric Evidence on the Effects of Financial Incentives on Retirement Decisions. American Economic Journal Economic Policy. 8(4). 160–182. 77 indexed citations

7.

Manoli, Day & Andrea Weber. (2016). The Effects of the Early Retirement Age on Retirement Decisions. SSRN Electronic Journal. 5 indexed citations

8.

Looney, Adam & Day Manoli. (2016). Are There Returns to Experience at Low-Skill Jobs? Evidence from Single Mothers in the United States Over the 1990s. SSRN Electronic Journal.

9.

Manoli, Day, Kathleen J. Mullen, & Mathis Wagner. (2015). POLICY VARIATION, LABOR SUPPLY ELASTICITIES, AND A STRUCTURAL MODEL OF RETIREMENT. Economic Inquiry. 53(4). 1702–1717. 9 indexed citations

10.

Manoli, Day, Kathleen J. Mullen, & Mathis Wagner. (2014). Policy Variation, Labor Supply Elasticities, and a Structural Model of Retirement. RAND Corporation eBooks. 1 indexed citations

11.

Manoli, Day, Kathleen J. Mullen, & Mathis Wagner. (2014). Policy Variation, Labor Supply Elasticities, and a Structural Model of Retirement. SSRN Electronic Journal. 2 indexed citations

12.

Chetty, Raj, Adam Guren, Day Manoli, & Andrea Weber. (2013). Does Indivisible Labor Explain the Difference between Micro and Macro Elasticities? A Meta-Analysis of Extensive Margin Elasticities. NBER Macroeconomics Annual. 27(1). 1–56. 213 indexed citations

13.

Manoli, Day, et al.. (2013). The Drawdown of Assets during Retirement: Evidence from Sweden. 1 indexed citations

14.

Bhargava, Saurabh & Day Manoli. (2012). Why Are Benefits Left on the Table? Assessing the Role of Information, Complexity, and Stigma on Take-Up With an Irs Field Experiment. ACR North American Advances. 46 indexed citations

15.

Chetty, Raj, Adam Guren, Day Manoli, & Andrea Weber. (2011). Are Micro and Macro Labor Supply Elasticities Consistent? A Review of Evidence on the Intensive and Extensive Margins. American Economic Review. 101(3). 471–475. 428 indexed citations breakdown →

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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