Michael Jansson

3.8k total citations · 2 hit papers
43 papers, 1.6k citations indexed

About

Michael Jansson is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Economics and Econometrics. According to data from OpenAlex, Michael Jansson has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 20 papers in General Economics, Econometrics and Finance and 10 papers in Economics and Econometrics. Recurrent topics in Michael Jansson's work include Statistical Methods and Inference (32 papers), Monetary Policy and Economic Impact (20 papers) and Statistical Methods and Bayesian Inference (11 papers). Michael Jansson is often cited by papers focused on Statistical Methods and Inference (32 papers), Monetary Policy and Economic Impact (20 papers) and Statistical Methods and Bayesian Inference (11 papers). Michael Jansson collaborates with scholars based in United States, Denmark and United Kingdom. Michael Jansson's co-authors include Matias D. Cattaneo, Xinwei Ma, Marcelo J. Moreira, Graham Elliott, Victor Chernozhukov, Christian Hansen, Whitney K. Newey, Richard K. Crump, Niels Haldrup and Elena Pesavento and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Econometrics.

In The Last Decade

Michael Jansson

41 papers receiving 1.5k citations

Hit Papers

Manipulation Testing Based on Density Discontinuity 2018 2026 2020 2023 2018 2019 100 200 300
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.

  1. Manipulation Testing Based on Density Discontinuity
    2018 357 citations Matias D. Cattaneo, Michael Jansson et al. profile →
  2. Simple Local Polynomial Density Estimators
    2019 324 citations Matias D. Cattaneo, Michael Jansson et al. Journal of the American Statistical Association profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Jansson United States 18 710 466 462 416 148 43 1.6k
Marcelo J. Moreira United States 17 631 0.9× 556 1.2× 539 1.2× 336 0.8× 227 1.5× 25 1.6k
Richard K. Crump United States 18 768 1.1× 462 1.0× 342 0.7× 352 0.8× 130 0.9× 57 1.5k
Iván Fernández‐Val United States 20 832 1.2× 609 1.3× 347 0.8× 214 0.5× 169 1.1× 48 1.8k
Isaiah Andrews United States 14 539 0.8× 227 0.5× 277 0.6× 193 0.5× 187 1.3× 27 1.2k
Stéphane Bonhomme United States 21 1.1k 1.5× 244 0.5× 309 0.7× 176 0.4× 196 1.3× 48 1.5k
Sokbae Lee United Kingdom 22 712 1.0× 835 1.8× 291 0.6× 164 0.4× 161 1.1× 64 1.6k
Jason Abrevaya United States 22 737 1.0× 505 1.1× 151 0.3× 145 0.3× 307 2.1× 50 1.9k
Morten Ørregaard Nielsen Denmark 29 1.8k 2.6× 242 0.5× 937 2.0× 1.5k 3.5× 205 1.4× 85 2.7k
Jan F. Kiviet Netherlands 20 1.9k 2.6× 263 0.6× 910 2.0× 518 1.2× 236 1.6× 57 2.7k
Guido M. Kuersteiner United States 16 949 1.3× 259 0.6× 534 1.2× 283 0.7× 115 0.8× 31 1.4k

Countries citing papers authored by Michael Jansson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Jansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Jansson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Jansson. A scholar is included among the top collaborators of Michael Jansson 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 Michael Jansson. Michael Jansson 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.
Cattaneo, Matias D., et al.. (2025). lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators. The Journal of Open Source Software. 10(107). 7241–7241. 1 indexed citations
2.
Cattaneo, Matias D., et al.. (2024). Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators. Journal of Econometrics. 252. 105855–105855.
3.
Cattaneo, Matias D., et al.. (2024). Boundary adaptive local polynomial conditional density estimators. Bernoulli. 30(4). 3 indexed citations
4.
Cattaneo, Matias D., Michael Jansson, & Kenichi Nagasawa. (2024). Bootstrap-assisted inference for generalized Grenander-type estimators. The Annals of Statistics. 52(4). 1 indexed citations
5.
Cattaneo, Matias D. & Michael Jansson. (2021). AVERAGE DENSITY ESTIMATORS: EFFICIENCY AND BOOTSTRAP CONSISTENCY. Econometric Theory. 38(6). 1140–1174. 4 indexed citations
6.
Cattaneo, Matias D., et al.. (2017). Bootstrap-Based Inference for Cube Root Consistent Estimators. arXiv (Cornell University). 2 indexed citations
7.
Cattaneo, Matias D., Michael Jansson, & Whitney K. Newey. (2017). Inference in Linear Regression Models with Many Covariates and Heteroscedasticity. Journal of the American Statistical Association. 113(523). 1350–1361. 62 indexed citations
8.
Cattaneo, Matias D. & Michael Jansson. (2014). Bootstrapping Kernel-Based Semiparametric Estimators. RePEc: Research Papers in Economics. 6 indexed citations
9.
Cattaneo, Matias D., Richard K. Crump, & Michael Jansson. (2010). Robust Data-Driven Inference for Density-Weighted Average Derivatives. Journal of the American Statistical Association. 105(491). 1070–1083. 19 indexed citations
10.
Cattaneo, Matias D., Richard K. Crump, & Michael Jansson. (2010). Bootstrapping Density-Weighted Average Derivatives. SSRN Electronic Journal. 5 indexed citations
11.
Chernozhukov, Victor, Christian Hansen, & Michael Jansson. (2009). Finite sample inference for quantile regression models. RePEc: Research Papers in Economics.
12.
Chernozhukov, Victor, Christian Hansen, & Michael Jansson. (2009). Finite sample inference for quantile regression models. Journal of Econometrics. 152(2). 93–103. 42 indexed citations
13.
Jansson, Michael, et al.. (2009). OPTIMAL INVARIANT INFERENCE WHEN THE NUMBER OF INSTRUMENTS IS LARGE. Econometric Theory. 25(3). 793–805. 10 indexed citations
14.
Cattaneo, Matias D., Richard K. Crump, & Michael Jansson. (2007). Optimal Inference for Instrumental Variables Regression with Non-Gaussian Errors. SSRN Electronic Journal. 11 indexed citations
15.
Jansson, Michael, et al.. (2005). Optimal Conditional Inference for Instrumental Variables Regression. 2 indexed citations
16.
Jansson, Michael & Marcelo J. Moreira. (2004). Optimal Inference in Regression Models with Nearly Integrated Regressors. SSRN Electronic Journal. 36 indexed citations
17.
Jansson, Michael. (2004). Point optimal tests of the null hypothesis of cointegration. Journal of Econometrics. 124(1). 187–201. 13 indexed citations
18.
Elliott, Graham & Michael Jansson. (2003). Testing for unit roots with stationary covariates. Journal of Econometrics. 115(1). 75–89. 76 indexed citations
19.
Elliott, Graham & Michael Jansson. (2000). Testing for Unit Roots with Stationary Covariates. SSRN Electronic Journal. 14 indexed citations
20.
Jansson, Michael, et al.. (1994). Efficient implementation of a submodel for composite materials to be combined with the FDTD-algorithm. IEEE Transactions on Magnetics. 30(5). 3188–3191. 5 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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