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.
Dealing with limited overlap in estimation of average treatment effects
2009627 citationsRichard K. Crump, V. Joseph Hotz et al.Biometrikaprofile →
Conditional Choice Probabilities and the Estimation of Dynamic Models
1993622 citationsV. Joseph Hotz, Robert A. MillerThe Review of Economic Studiesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by V. Joseph Hotz
Since
Specialization
Citations
This map shows the geographic impact of V. Joseph Hotz'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 V. Joseph Hotz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Joseph Hotz more than expected).
This network shows the impact of papers produced by V. Joseph Hotz. 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 V. Joseph Hotz. The network helps show where V. Joseph Hotz may publish in the future.
Co-authorship network of co-authors of V. Joseph Hotz
This figure shows the co-authorship network connecting the top 25 collaborators of V. Joseph Hotz.
A scholar is included among the top collaborators of V. Joseph Hotz 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 V. Joseph Hotz. V. Joseph Hotz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Duncan, Brian, V. Joseph Hotz, & Stephen J. Trejo. (2013). Hispanics in the U.S. Labor Market. eScholarship (California Digital Library).21 indexed citations
9.
Arcidiacono, Peter, V. Joseph Hotz, & Songman Kang. (2010). Modeling College Major Choices using Elicited Measures of Expectations and Counterfactuals. NBER Working Paper No. 15729.. National Bureau of Economic Research.14 indexed citations
Fajnzylber, Eduardo, V. Joseph Hotz, & Seth Sanders. (2010). An economic model of amniocentesis choice. Advances in Life Course Research. 15(1). 11–26.2 indexed citations
12.
Crump, Richard K., V. Joseph Hotz, Guido W. Imbens, & Oscar A. Mitnik. (2009). Dealing with limited overlap in estimation of average treatment effects. Biometrika. 96(1). 187–199.627 indexed citations breakdown →
13.
Bianchi, Suzanne M., et al.. (2007). An Assessment of Available Data and Data Needs for Studying Intra- and Inter-Generational Family Relationships and Behavior. eScholarship (California Digital Library).12 indexed citations
14.
Hotz, V. Joseph & Mo Xiao. (2005). The Impact of Minimum Quality Standards on Firm Entry, Exit and Product Quality: The Case of the Child Care Market. eScholarship (California Digital Library).11 indexed citations
Seltzer, Judith A., Christine A. Bachrach, Suzanne M. Bianchi, et al.. (2004). Designing New Models for Explaining Family Change and Variation. eScholarship (California Digital Library).11 indexed citations
Currie, Janet & V. Joseph Hotz. (2003). Accidents will happen?. Journal of Health Economics. 23(1). 25–59.43 indexed citations
19.
Hotz, V. Joseph & Robert A. Miller. (1993). Conditional Choice Probabilities and the Estimation of Dynamic Models. The Review of Economic Studies. 60(3). 497–497.622 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.