Michael C. Knaus : Citation Profile

Are you Michael C. Knaus?

Eberhard-Karls-Universität Tübingen (99% share)
Institute of Labor Economics (IZA) (1% share)

5

H index

5

i10 index

204

Citations

RESEARCH PRODUCTION:

7

Articles

24

Papers

1

Chapters

RESEARCH ACTIVITY:

   8 years (2016 - 2024). See details.
   Cites by year: 25
   Journals where Michael C. Knaus has often published
   Relations with other researchers
   Recent citing documents: 61.    Total self citations: 9 (4.23 %)

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   Permalink: http://citec.repec.org/pkn65
   Updated: 2024-12-03    RAS profile: 2024-11-26    
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Relations with other researchers

Works with:

Lechner, Michael (3)

Crudu, Federico (2)

Strittmatter, Anthony (2)

Mellace, Giovanni (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Michael C. Knaus.

Is cited by:

Lechner, Michael (41)

Goller, Daniel (15)

Cockx, Bart (15)

Jacquemet, Nicolas (12)

FOUGERE, DENIS (12)

Strittmatter, Anthony (11)

Huber, Martin (6)

Wunsch, Conny (6)

Jacob, Daniel (4)

Black, Dan (4)

Cagala, Tobias (3)

Cites to:

Lechner, Michael (57)

Chernozhukov, Victor (23)

Imbens, Guido (21)

Athey, Susan (19)

Strittmatter, Anthony (16)

Hansen, Christian (14)

van den Berg, Gerard (9)

Wunsch, Conny (8)

Cockx, Bart (8)

Wooldridge, Jeffrey (8)

Smith, Jeffrey (7)

Main data

Where Michael C. Knaus has published?

Journals with more than one article published# docs
The Econometrics Journal2

Working Papers Series with more than one paper published# docs
IZA Discussion Papers / Institute of Labor Economics (IZA)7
Papers / arXiv.org6
Economics Working Paper Series / University of St. Gallen, School of Economics and Political Science6
CEPR Discussion Papers / C.E.P.R. Discussion Papers2

Recent works citing Michael C. Knaus (2024 and 2023)

YearTitle of citing document
2024DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R. (2021). Spindler, Martin ; Kurz, Malte S ; Chernozhukov, Victor ; Bach, Philipp. In: Papers. RePEc:arx:papers:2103.09603.

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2023Active labour market policies for the long-term unemployed: New evidence from causal machine learning. (2021). Goller, Daniel ; Wolff, Joachim ; Lechner, Michael ; Harrer, Tamara. In: Papers. RePEc:arx:papers:2106.10141.

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2024Estimating Heterogeneous Bounds for Treatment Effects under Sample Selection and Non-response. (2022). Heiler, Phillip. In: Papers. RePEc:arx:papers:2209.04329.

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2023Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation. (2022). Rehill, Patrick. In: Papers. RePEc:arx:papers:2212.06312.

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2023Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap. (2023). Karapakula, Ganesh. In: Papers. RePEc:arx:papers:2301.05703.

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2023Policy Learning with Rare Outcomes. (2023). Kreif, Noemi ; Hatamyar, Julia. In: Papers. RePEc:arx:papers:2302.05260.

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2023The Economic Effect of Gaining a New Qualification Later in Life. (2023). Zhu, Anna ; Steinberg, Daniel M ; Lattimore, Finn. In: Papers. RePEc:arx:papers:2304.01490.

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2024Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization. (2023). Hangartner, Dominik ; Kurer, Selina ; Stampi-Bombelli, Alessandra ; Ahrens, Achim. In: Papers. RePEc:arx:papers:2305.00545.

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2023A Guide to Impact Evaluation under Sample Selection and Missing Data: Teachers Aides and Adolescent Mental Health. (2023). Nielsen, Helena Skyt ; Heiler, Phillip ; Beuchert, Louise ; Andersen, Simon Calmar. In: Papers. RePEc:arx:papers:2308.04963.

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2023Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making. (2023). Biddle, Nicholas ; Rehill, Patrick. In: Papers. RePEc:arx:papers:2309.00805.

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2023How Does Chinas Household Portfolio Selection Vary with Financial Inclusion?. (2023). Wang, Xiqian ; Bian, Yong ; Zhang, Qin. In: Papers. RePEc:arx:papers:2311.01206.

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2023On the adaptation of causal forests to manifold data. (2023). Fan, Yingying ; Huo, Yiyi ; Han, Fang. In: Papers. RePEc:arx:papers:2311.16486.

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2024Double Machine Learning for Static Panel Models with Fixed Effects. (2023). Polselli, Annalivia ; Clarke, Paul. In: Papers. RePEc:arx:papers:2312.08174.

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2024Estimating Causal Effects with Double Machine Learning -- A Method Evaluation. (2024). Papies, Dominik ; Berens, Philipp ; Fuhr, Jonathan. In: Papers. RePEc:arx:papers:2403.14385.

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2024Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets. (2024). Arora, Rajeev Kumar ; Kamuni, Navin ; Dodda, Suresh ; Kumar, Anoop. In: Papers. RePEc:arx:papers:2404.07225.

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2024Comprehensive Causal Machine Learning. (2024). Mareckova, Jana ; Lechner, Michael. In: Papers. RePEc:arx:papers:2405.10198.

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2023Improved inference for doubly robust estimators of heterogeneous treatment effects. (2023). Antonelli, Joseph ; Shin, Heejun. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:4:p:3140-3152.

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2023Criminal charges, risk assessment and violent recidivism in cases of domestic abuse. (2023). Kirchmaier, Tom ; Black, Dan ; Sanders, Koen ; Grogger, Jeffrey. In: CEP Discussion Papers. RePEc:cep:cepdps:dp1897.

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2023Firm Training. (2023). Black, Dan ; Smith, Jeffrey Andrew ; Skipper, Lars. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10268.

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2023Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences. (2023). Scheer, Bas ; Kattenberg, Mark ; Thiel, Jurre. In: CPB Discussion Paper. RePEc:cpb:discus:452.

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2023Is There a Desired Added Worker Effect?: Evidence from Involuntary Job Losses. (2023). Glaubitz, Rick ; Beckmannshagen, Mattis. In: SOEPpapers on Multidisciplinary Panel Data Research. RePEc:diw:diwsop:diw_sp1200.

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2023Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?. (2023). Oyenubi, Adeola ; Kollamparambil, Umakrishnan. In: Economic Modelling. RePEc:eee:ecmode:v:120:y:2023:i:c:s0264999323000032.

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2023Estimation and inference of treatment effects with L2-boosting in high-dimensional settings. (2023). Wang, Zigan ; Spindler, Martin ; Luo, YE ; Kueck, Jannis. In: Journal of Econometrics. RePEc:eee:econom:v:234:y:2023:i:2:p:714-731.

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2024Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations. (2024). Munro, Evan ; Metzger, Jonas ; Imbens, Guido W ; Athey, Susan. In: Journal of Econometrics. RePEc:eee:econom:v:240:y:2024:i:2:s0304407621000440.

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2023To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates. (2023). Guerry, Marie-Anne ; Olaya, Diego ; Verbeke, Wouter ; van Belle, Jente. In: European Journal of Operational Research. RePEc:eee:ejores:v:305:y:2023:i:2:p:838-852.

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2023The effect of cooking fuel choice on the elderly’s well-being: Evidence from two non-parametric methods. (2023). Zhang, Qin ; Bian, Yong ; Wang, Xiqian. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003249.

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2023Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium. (2023). Cockx, Bart ; Bollens, Joost ; Lechner, Michael. In: Labour Economics. RePEc:eee:labeco:v:80:y:2023:i:c:s0927537122001968.

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2023What is the value added by using causal machine learning methods in a welfare experiment evaluation?. (2023). Strittmatter, Anthony. In: Labour Economics. RePEc:eee:labeco:v:84:y:2023:i:c:s0927537123000878.

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2023Are students time constrained? Course load, GPA, and failing. (2023). Phipps, Aaron ; Amaya, Alexander. In: Journal of Public Economics. RePEc:eee:pubeco:v:225:y:2023:i:c:s0047272723001639.

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2023How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference. (2023). Wang, Yuan ; Jiang, Chengxi ; Jing, Peng ; Cai, Yunhao. In: Transportation Research Part A: Policy and Practice. RePEc:eee:transa:v:175:y:2023:i:c:s0965856423001775.

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2023SMART-EXAM: Incorporating Participants Welfare into Sequential Multiple Assignment Randomized Trials. (2023). Chakraborty, Bibhas ; Yusuke, Narita ; Deliu, Nina ; Wang, Xinru. In: Discussion papers. RePEc:eti:dpaper:23081.

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2023COVID-19 and mental health: natural experiments of the costs of lockdowns. (2023). Zeng, Jingya ; Quintana-Domeque, Climent. In: Discussion Papers. RePEc:exe:wpaper:2314.

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2024.

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2023Where is the pain the most acute? The market segments particularly affected by gender wage discrimination in Hungary. (2023). Vincze, Janos ; Takacs, Olga. In: CERS-IE WORKING PAPERS. RePEc:has:discpr:2304.

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2023Heterogeneous wage structure effects: a partial European East-West comparison. (2023). Vincze, Janos ; Takacs, Olga. In: CERS-IE WORKING PAPERS. RePEc:has:discpr:2305.

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2023Criminal Charges, Risk Assessment, and Violent Recidivism in Cases of Domestic Abuse. (2023). Kirchmaier, Tom ; Sanders, Koen ; Grogger, Jeffrey ; Black, Dan A. In: IZA Discussion Papers. RePEc:iza:izadps:dp15885.

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2023COVID-19 and Mental Health: Natural Experiments of the Costs of Lockdowns. (2023). Zeng, Jingya ; Quintana-Domeque, Climent. In: IZA Discussion Papers. RePEc:iza:izadps:dp16532.

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2023Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach. (2023). Bijnens, Gert ; Konings, Jozef ; Karimov, Shyngys. In: De Economist. RePEc:kap:decono:v:171:y:2023:i:1:d:10.1007_s10645-023-09418-y.

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2023Aggregation Trees. (2022). Di Francesco, Riccardo. In: CEIS Research Paper. RePEc:rtv:ceisrp:546.

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2023Analysing a built-in advantage in asymmetric darts contests using causal machine learning. (2023). Goller, Daniel. In: Annals of Operations Research. RePEc:spr:annopr:v:325:y:2023:i:1:d:10.1007_s10479-022-04563-0.

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2023Embracing complexity in social science research. (2023). Quintana, Rafael. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:57:y:2023:i:1:d:10.1007_s11135-022-01349-1.

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2023Causal Machine Learning and its use for public policy. (2023). Lechner, Michael. In: Swiss Journal of Economics and Statistics. RePEc:spr:sjecst:v:159:y:2023:i:1:d:10.1186_s41937-023-00113-y.

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2023Behavioral Spillovers. (2023). Bonev, Petyo. In: Economics Working Paper Series. RePEc:usg:econwp:2023:03.

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2023Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods. (2023). Tsui, Fuchiang ; Lovejoy, Susan ; Schultz, Dana ; Peet, Evan D. In: Health Economics. RePEc:wly:hlthec:v:32:y:2023:i:1:p:194-217.

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Works by Michael C. Knaus:

YearTitleTypeCited
2018Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach In: Papers.
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2017Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach.(2017) In: CEPR Discussion Papers.
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2017Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach.(2017) In: IZA Discussion Papers.
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This paper has nother version. Agregated cites: 53		paper
2017Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach.(2017) In: Economics Working Paper Series.
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This paper has nother version. Agregated cites: 53		paper
2022Heterogeneous Employment Effects of Job Search Programs: A Machine Learning Approach.(2022) In: Journal of Human Resources.
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This paper has nother version. Agregated cites: 53		article
2019A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Students Skills In: Papers.
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2021A double machine learning approach to estimate the effects of musical practice on student’s skills.(2021) In: Journal of the Royal Statistical Society Series A.
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This paper has nother version. Agregated cites: 11		article
2018A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Students Skills.(2018) In: IZA Discussion Papers.
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This paper has nother version. Agregated cites: 11		paper
2018Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence In: Papers.
[Full Text][Citation analysis]		paper73
2018Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence.(2018) In: CEPR Discussion Papers.
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This paper has nother version. Agregated cites: 73		paper
2018Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence.(2018) In: IZA Discussion Papers.
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2021Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence.(2021) In: The Econometrics Journal.
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2018Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence.(2018) In: Economics Working Paper Series.
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2022Double Machine Learning based Program Evaluation under Unconfoundedness In: Papers.
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2020Double Machine Learning Based Program Evaluation under Unconfoundedness.(2020) In: IZA Discussion Papers.
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2022Double machine learning-based programme evaluation under unconfoundedness.(2022) In: The Econometrics Journal.
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2020Double Machine Learning based Program Evaluation under Unconfoundedness.(2020) In: Economics Working Paper Series.
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2023Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments In: Papers.
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2022Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments.(2022) In: IZA Discussion Papers.
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This paper has nother version. Agregated cites: 2		paper
2022On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models In: Papers.
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2019WORK HOUR MISMATCH AND JOB MOBILITY: ADJUSTMENT CHANNELS AND RESOLUTION RATES In: Economic Inquiry.
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2016Work Hour Mismatch and Job Mobility: Adjustment Channels and Resolution Rates.(2016) In: SOEPpapers on Multidisciplinary Panel Data Research.
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2016Work Hour Mismatch and Job Mobility: Adjustment Channels and Resolution Rates.(2016) In: IZA Discussion Papers.
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This paper has nother version. Agregated cites: 12		paper
2020For better or worse? – The effects of physical education on child development In: Labour Economics.
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2018For Better or Worse? The Effects of Physical Education on Child Development.(2018) In: IZA Discussion Papers.
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This paper has nother version. Agregated cites: 5		paper
2018For better or worse? – The Effects of Physical Education on Child Development.(2018) In: Economics Working Paper Series.
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2021Predicting match outcomes in football by an Ordered Forest estimator In: Chapters.
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2018Predicting Match Outcomes in Football by an Ordered Forest Estimator.(2018) In: Economics Working Paper Series.
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2022What does OLS identify under the zero conditional mean assumption? In: Discussion Papers on Economics.
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2024How Does Post-Earnings Announcement Sentiment Affect Firms’ Dynamics? New Evidence from Causal Machine Learning In: Journal of Financial Econometrics.
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2022The effect of environmental policies on environmental behaviors and intrinsic motivation: evidence from the European Union In: Economics Working Paper Series.
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