Daniel J. Henderson

2.5k total citations
76 papers, 1.6k citations indexed

About

Daniel J. Henderson is a scholar working on Economics and Econometrics, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Daniel J. Henderson has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Economics and Econometrics, 19 papers in Statistics and Probability and 11 papers in General Economics, Econometrics and Finance. Recurrent topics in Daniel J. Henderson's work include Economic Growth and Productivity (19 papers), Fiscal Policy and Economic Growth (16 papers) and Statistical Methods and Inference (15 papers). Daniel J. Henderson is often cited by papers focused on Economic Growth and Productivity (19 papers), Fiscal Policy and Economic Growth (16 papers) and Statistical Methods and Inference (15 papers). Daniel J. Henderson collaborates with scholars based in United States, China and Germany. Daniel J. Henderson's co-authors include Christopher F. Parmeter, Daniel L. Millimet, Subal C. Kumbhakar, Özkan Eren, Qi Li, Raymond J. Carroll, Oleg Badunenko, Chris Papageorgiou, R. Robert Russell and Valentin Zelenyuk and has published in prestigious journals such as The Economic Journal, The Review of Economics and Statistics and Journal of Econometrics.

In The Last Decade

Daniel J. Henderson

68 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Henderson United States 22 1.0k 305 209 182 156 76 1.6k
William C. Horrace United States 21 993 1.0× 258 0.8× 441 2.1× 143 0.8× 245 1.6× 63 1.8k
Ivan A. Canay United States 12 790 0.8× 220 0.7× 80 0.4× 389 2.1× 113 0.7× 27 1.4k
Esfandiar Maasoumi United States 23 1.1k 1.1× 339 1.1× 297 1.4× 227 1.2× 606 3.9× 91 2.0k
Michael C. Lovell United States 21 1.2k 1.2× 747 2.4× 218 1.0× 172 0.9× 127 0.8× 66 2.1k
Jan F. Kiviet Netherlands 20 1.9k 1.8× 910 3.0× 116 0.6× 263 1.4× 236 1.5× 57 2.7k
Vincenzo Verardi Belgium 16 419 0.4× 162 0.5× 36 0.2× 93 0.5× 131 0.8× 43 970
David A. Kodde Netherlands 9 779 0.8× 192 0.6× 577 2.8× 52 0.3× 131 0.8× 16 1.4k
Terry G. Seaks United States 12 526 0.5× 161 0.5× 124 0.6× 70 0.4× 137 0.9× 28 1.0k
Antonio F. Galvao United States 22 1.2k 1.1× 419 1.4× 102 0.5× 333 1.8× 70 0.4× 84 1.7k
Cliff J. Huang United States 19 885 0.9× 280 0.9× 465 2.2× 163 0.9× 107 0.7× 50 1.5k

Countries citing papers authored by Daniel J. Henderson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Henderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Henderson. 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 Daniel J. Henderson. The network helps show where Daniel J. Henderson may publish in the future.

Co-authorship network of co-authors of Daniel J. Henderson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Henderson. A scholar is included among the top collaborators of Daniel J. Henderson 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 Daniel J. Henderson. Daniel J. Henderson 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.
Henderson, Daniel J., et al.. (2026). Joint Estimation and Bandwidth Selection in Partially Parametric Models. Journal of Applied Econometrics.
2.
Henderson, Daniel J., et al.. (2023). Unifying Estimation and Inference for Linear Regression with Stationary and Integrated or Near-Integrated Variables. Journal of Financial Econometrics. 22(5). 1397–1420.
3.
Henderson, Daniel J. & Stefan Sperlich. (2023). A Complete Framework for Model-Free Difference-in-Differences Estimation. RePEc: Research Papers in Economics. 12(3). 232–323.
4.
Badunenko, Oleg & Daniel J. Henderson. (2023). Production analysis with asymmetric noise. Journal of Productivity Analysis. 61(1). 1–18. 10 indexed citations
5.
Henderson, Daniel J., et al.. (2021). Taste responsiveness of chimpanzees (Pan troglodytes) and black-handed spider monkeys (Ateles geoffroyi) to eight substances tasting sweet to humans. Physiology & Behavior. 238. 113470–113470. 7 indexed citations
6.
Henderson, Daniel J., et al.. (2018). Kernel-based testing with skewed and heavy-tailed data: Evidence from a nonparametric test for heteroskedasticity. Economics Letters. 172. 8–11. 1 indexed citations
7.
Henderson, Daniel J., Andrew J. Houtenville, & Le Wang. (2017). The Distribution of Returns to Education for People with Disabilities. Journal of Labor Research. 38(3). 261–282. 2 indexed citations
8.
Henderson, Daniel J., Léopold Simar, & Le Wang. (2016). The Three I's of Public Schools: Irrelevant Inputs, Insufficient Resources and Inefficiency. SSRN Electronic Journal.
9.
Henderson, Daniel J. & Christopher F. Parmeter. (2015). Root- n Consistent Kernel Density Estimation in Practice. 6(1). 4 indexed citations
10.
Henderson, Daniel J. & Christopher F. Parmeter. (2015). Teaching Nonparametric Econometrics to Undergraduates. 5(1). 179–193. 2 indexed citations
11.
Henderson, Daniel J., Subal C. Kumbhakar, & Christopher F. Parmeter. (2012). A simple method to visualize results in nonlinear regression models. Economics Letters. 117(3). 578–581. 40 indexed citations
12.
Eren, Özkan & Daniel J. Henderson. (2011). Are We Wasting Our Children's Time by Giving Them More Homework?. SSRN Electronic Journal. 1 indexed citations
13.
Badunenko, Oleg, Daniel J. Henderson, & Romain Houssa. (2010). Explaining African Growth Performance: A Production-Frontier Approach. SSRN Electronic Journal. 4 indexed citations
14.
Henderson, Daniel J.. (2009). A test for multimodality of regression derivatives with application to nonparametric growth regressions. Journal of Applied Econometrics. 25(3). 458–480. 17 indexed citations
15.
Henderson, Daniel J., Raymond J. Carroll, & Qi Li. (2008). Nonparametric estimation and testing of fixed effects panel data models. Journal of Econometrics. 144(1). 257–275. 149 indexed citations
16.
Henderson, Daniel J. & Valentin Zelenyuk. (2007). Testing for (Efficiency) Catching‐up. Southern Economic Journal. 73(4). 1003–1019. 41 indexed citations
17.
Henderson, Daniel J. & Subal C. Kumbhakar. (2006). Public and Private Capital Productivity Puzzle: A Nonparametric Approach. Southern Economic Journal. 73(1). 219–232. 27 indexed citations
18.
Millimet, Daniel L. & Daniel J. Henderson. (2005). Environmental Regulation and U.S. State-Level Production. Economics Letters. 1 indexed citations
19.
Henderson, Daniel J., et al.. (2005). Do Former College Athletes Earn More at Work? A Nonparametric Assessment. SSRN Electronic Journal. 4 indexed citations
20.
Henderson, Daniel J. & Daniel L. Millimet. (2004). Environmental regulation and US state-level production. Economics Letters. 87(1). 47–53. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by William C. Horrace Breakdown of academic impact, for papers by Ivan A. Canay Breakdown of academic impact, for papers by Esfandiar Maasoumi Breakdown of academic impact, for papers by Michael C. Lovell Breakdown of academic impact, for papers by Jan F. Kiviet Breakdown of academic impact, for papers by Vincenzo Verardi Breakdown of academic impact, for papers by David A. Kodde Breakdown of academic impact, for papers by Terry G. Seaks Breakdown of academic impact, for papers by Antonio F. Galvao Breakdown of academic impact, for papers by Cliff J. Huang
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2026