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.
Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design
20011.8k citationsWilbert van der Klaauw et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Wilbert van der Klaauw
Since
Specialization
Citations
This map shows the geographic impact of Wilbert van der Klaauw'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 Wilbert van der Klaauw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilbert van der Klaauw more than expected).
Fields of papers citing papers by Wilbert van der Klaauw
This network shows the impact of papers produced by Wilbert van der Klaauw. 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 Wilbert van der Klaauw. The network helps show where Wilbert van der Klaauw may publish in the future.
Co-authorship network of co-authors of Wilbert van der Klaauw
This figure shows the co-authorship network connecting the top 25 collaborators of Wilbert van der Klaauw.
A scholar is included among the top collaborators of Wilbert van der Klaauw 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 Wilbert van der Klaauw. Wilbert van der Klaauw is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chakrabarti, Rajashri, et al.. (2021). Who Received Forbearance Relief. Liberty Street Economics.1 indexed citations
3.
Haughwout, Andrew F., et al.. (2021). Keeping Borrowers Current in a Pandemic. Liberty Street Economics.1 indexed citations
4.
Haughwout, Andrew F., et al.. (2021). What’s Next for Forborne Borrowers?. Liberty Street Economics.2 indexed citations
5.
Haughwout, Andrew F., et al.. (2021). What Happens during Mortgage Forbearance. Liberty Street Economics.1 indexed citations
6.
Armantier, Olivier, et al.. (2020). How Have Households Used Their Stimulus Payments and How Would They Spend the Next. Liberty Street Economics.12 indexed citations
7.
Haughwout, Andrew F., et al.. (2020). Inequality in U.S. Homeownership Rates by Race and Ethnicity. Liberty Street Economics.5 indexed citations
8.
Haughwout, Andrew F., et al.. (2019). Who Borrows for College—and Who Repays?. Liberty Street Economics.
9.
Brown, Meta, Rajashri Chakrabarti, Wilbert van der Klaauw, & Basit Zafar. (2019). Understanding the Evolution of Student Loan Balances and Repayment Behavior: Do Institution Type and Degree Matter?. Federal Reserve Bank of New York Economic policy review. 25(1). 35.3 indexed citations
10.
Bruin, Wändi Bruine de, Wilbert van der Klaauw, Maarten van Rooij, Federica Teppa, & Klaas de Vos. (2017). Measuring expectations of inflation: Effects of survey mode, wording, and opportunities to revise. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).29 indexed citations
11.
Campbell, Graham, et al.. (2016). Just Released: Recent Developments in Consumer Credit Card Borrowing. Liberty Street Economics.2 indexed citations
12.
Armantier, Olivier, et al.. (2016). Which Households Have Negative Wealth. Liberty Street Economics.2 indexed citations
13.
Brown, Meta, et al.. (2015). Payback Time? Measuring Progress on Student Debt Repayment. Liberty Street Economics.3 indexed citations
14.
Chan, Sewin, Andrew F. Haughwout, Wilbert van der Klaauw, et al.. (2015). Determinants of Mortgage Default and Consumer Credit Use: The Effects of Foreclosure Laws and Foreclosure Delays.21 indexed citations
15.
Brown, Meta, et al.. (2014). Measuring student debt and its performance. Staff Reports.7 indexed citations
16.
Armantier, Olivier, et al.. (2013). Introducing the FRBNY Survey of Consumer Expectations: Household Finance Expectations. Liberty Street Economics.2 indexed citations
17.
Armantier, Olivier, Giorgio Topa, Wilbert van der Klaauw, & Basit Zafar. (2013). Introducing the FRBNY Survey of Consumer Expectations: Labor Market Expectations. Liberty Street Economics.2 indexed citations
18.
Armantier, Olivier, Scott Nelson, Giorgio Topa, Wilbert van der Klaauw, & Basit Zafar. (2012). Nudging Inflation Expectations: An Experiment. Liberty Street Economics.1 indexed citations
Lee, Donghoon & Wilbert van der Klaauw. (2010). An introduction to the FRBNY Consumer Credit Panel. RePEc: Research Papers in Economics.3 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.