Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by @mitpress.bsky.social this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents!
February 14, 2025 at 6:52 AM
Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by @mitpress.bsky.social this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents!
🔥 Exciting news about my book #CausalAnalysis! A free online version is now available, many thanks to MIT press for making this possible! Here's the link to the open access version: mitpress.ublish.com/ebook/causal...
eReader
eReader
mitpress.ublish.com
January 11, 2024 at 10:19 AM
🔥 Exciting news about my book #CausalAnalysis! A free online version is now available, many thanks to MIT press for making this possible! Here's the link to the open access version: mitpress.ublish.com/ebook/causal...
📖 News about my book #CausalAnalysis! Many empirical examples are now also available in #Stata - in addition to #R and #Python. You can find the data and code files at
🔗 www.unifr.ch/appecon/en/r...
A big thank you to Sarina Oberhänsli for translating the code from R to Stata! 🙏
🔗 www.unifr.ch/appecon/en/r...
A big thank you to Sarina Oberhänsli for translating the code from R to Stata! 🙏
July 1, 2026 at 6:10 AM
📖 News about my book #CausalAnalysis! Many empirical examples are now also available in #Stata - in addition to #R and #Python. You can find the data and code files at
🔗 www.unifr.ch/appecon/en/r...
A big thank you to Sarina Oberhänsli for translating the code from R to Stata! 🙏
🔗 www.unifr.ch/appecon/en/r...
A big thank you to Sarina Oberhänsli for translating the code from R to Stata! 🙏
Received the first proof of my new book, Impact Evaluation in Firms and Organizations, from @mitpress.bsky.social! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, & more focused on business examples. R & Python code already available: dataverse.harvard.edu/dataset.xhtm...
December 6, 2024 at 12:28 PM
Received the first proof of my new book, Impact Evaluation in Firms and Organizations, from @mitpress.bsky.social! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, & more focused on business examples. R & Python code already available: dataverse.harvard.edu/dataset.xhtm...
News concerning my book #CausalAnalysis (mitpress.mit.edu/978026254591...): The R and Python code along with the datasets in CSV format for the empirical examples featured in the book are now also available on the Harvard Dataverse repository: doi.org/10.7910/DVN/...
#EconSky
#EconSky
Causal Analysis
A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...
mitpress.mit.edu
May 6, 2024 at 10:23 AM
News concerning my book #CausalAnalysis (mitpress.mit.edu/978026254591...): The R and Python code along with the datasets in CSV format for the empirical examples featured in the book are now also available on the Harvard Dataverse repository: doi.org/10.7910/DVN/...
#EconSky
#EconSky
Had the pleasure of hosting Prof. Kosuke Imai (Harvard University), a world-leading expert in #CausalAnalysis, at our econ research seminar in Fribourg. He gave an insightful talk on evaluating AI-based recommendations in human decision-making, followed by engaging discussions at the seminar dinner.
October 9, 2024 at 6:39 AM
Had the pleasure of hosting Prof. Kosuke Imai (Harvard University), a world-leading expert in #CausalAnalysis, at our econ research seminar in Fribourg. He gave an insightful talk on evaluating AI-based recommendations in human decision-making, followed by engaging discussions at the seminar dinner.
🚨Which causal inference book you should read?
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
May 14, 2025 at 10:38 AM
🚨Which causal inference book you should read?
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
Delighted to attend the second edition of the Causal Machine Learning Workshop in the UK, this time hosted at Queen Mary University of London. Many thanks to my co-author Michel Haddad and the co-organizers for putting together such a fantastic event! #DataScience #MachineLearning #CausalAnalysis
July 15, 2025 at 7:14 PM
Delighted to attend the second edition of the Causal Machine Learning Workshop in the UK, this time hosted at Queen Mary University of London. Many thanks to my co-author Michel Haddad and the co-organizers for putting together such a fantastic event! #DataScience #MachineLearning #CausalAnalysis
Happy holidays from the #Venet in #Tirol, #Austria ❄️⛷️ - the perfect crowd-free ski retreat, recharging energy for fresh #CausalAnalysis and #ImpactEvaluation in the new year 😉 www.venet.at
December 27, 2025 at 9:58 AM
Happy holidays from the #Venet in #Tirol, #Austria ❄️⛷️ - the perfect crowd-free ski retreat, recharging energy for fresh #CausalAnalysis and #ImpactEvaluation in the new year 😉 www.venet.at
Exciting update on my book #CausalAnalysis: Now, many empirical examples initially available for the software #R are also provided as #Python code! Download them for free from the following website: www.unifr.ch/appecon/en/r... #EconSky
Text book "Causal Analysis" | Chair of Applied Econometrics and Policy Evaluation | University of F...
www.unifr.ch
December 19, 2023 at 2:59 PM
Exciting update on my book #CausalAnalysis: Now, many empirical examples initially available for the software #R are also provided as #Python code! Download them for free from the following website: www.unifr.ch/appecon/en/r... #EconSky
Had the great pleasure of teaching a short course on #CausalAnalysis (based on my book of the same name) and methods in policy evaluation this week at the European Central Bank in Frankfurt. A big thank you to David Marques-Ibanez and all participants for hosting me and for the engaging discussions!
November 27, 2025 at 5:07 PM
Had the great pleasure of teaching a short course on #CausalAnalysis (based on my book of the same name) and methods in policy evaluation this week at the European Central Bank in Frankfurt. A big thank you to David Marques-Ibanez and all participants for hosting me and for the engaging discussions!
Yesterday, the Fribourg Winter School in #DataAnalytics and #MachineLearning wrapped up its block on the statistical software #R with an introduction to #MachineLearning for #CausalAnalysis. Many thanks to all participants for the great interactions—enjoy the remaining courses on #Julia and #Python!
February 7, 2025 at 9:32 AM
Yesterday, the Fribourg Winter School in #DataAnalytics and #MachineLearning wrapped up its block on the statistical software #R with an introduction to #MachineLearning for #CausalAnalysis. Many thanks to all participants for the great interactions—enjoy the remaining courses on #Julia and #Python!
🚀 A new version of our causalweight package for the statistical software R is online, containing some of the latest causal machine learning methods for the estimation of treatment effects: www.rdocumentation.org/packages/cau...
#CausalInference #CausalAnalysis #MachineLearning
#CausalInference #CausalAnalysis #MachineLearning
causalweight package - RDocumentation
Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average tr...
www.rdocumentation.org
December 5, 2025 at 7:10 AM
🚀 A new version of our causalweight package for the statistical software R is online, containing some of the latest causal machine learning methods for the estimation of treatment effects: www.rdocumentation.org/packages/cau...
#CausalInference #CausalAnalysis #MachineLearning
#CausalInference #CausalAnalysis #MachineLearning
Excited to announce that I'll be teaching an online course on #CausalAnalysis using instrumental variables (with examples in R) at @fdzgml.bsky.social on Oct 29th & 30th 2024. For more details and to register online, visit: training.gesis.org?site=pDetail... #EconSky
GESIS Training Courses
training.gesis.org
March 5, 2024 at 11:22 AM
Excited to announce that I'll be teaching an online course on #CausalAnalysis using instrumental variables (with examples in R) at @fdzgml.bsky.social on Oct 29th & 30th 2024. For more details and to register online, visit: training.gesis.org?site=pDetail... #EconSky
🔥 Our 4th Winter School in #DataAnalytics & #MachineLearning is happening from Feb 5-16 2024 at the University of Fribourg! Register here for our hybrid courses (live/online) in machine/deep learning & #CausalAnalysis using #Python,#RStats,#Julia,#Knime: www.unifr.ch/appecon/en/w... #EconSky
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg
www.unifr.ch
October 30, 2023 at 4:23 PM
🔥 Our 4th Winter School in #DataAnalytics & #MachineLearning is happening from Feb 5-16 2024 at the University of Fribourg! Register here for our hybrid courses (live/online) in machine/deep learning & #CausalAnalysis using #Python,#RStats,#Julia,#Knime: www.unifr.ch/appecon/en/w... #EconSky
🎂Happy Birthday, #CausalAnalysis! 🎉 One year ago today, my book on impact/treatment evaluation and causal #MachineLearning in #RStats was released by @mitpress.bsky.social!😀 mitpress.mit.edu/978026254591... #EconSky
Causal Analysis
A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...
mitpress.mit.edu
August 1, 2024 at 6:52 AM
🎂Happy Birthday, #CausalAnalysis! 🎉 One year ago today, my book on impact/treatment evaluation and causal #MachineLearning in #RStats was released by @mitpress.bsky.social!😀 mitpress.mit.edu/978026254591... #EconSky
😀🔥 Registration is open for our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning, Feb 3-14, 2025, in hybrid format at Fribourg University and online. Courses on machine/deep learning & #CausalAnalysis using #Python, #RStats, #Julia, #Knime: www.unifr.ch/appecon/en/w... #EconSky
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg
www.unifr.ch
September 24, 2024 at 10:23 AM
😀🔥 Registration is open for our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning, Feb 3-14, 2025, in hybrid format at Fribourg University and online. Courses on machine/deep learning & #CausalAnalysis using #Python, #RStats, #Julia, #Knime: www.unifr.ch/appecon/en/w... #EconSky
A new version of the causalweight package for R is online: cran.r-project.org/web//package.... Now including example datasets for the regression kink design and the estimation of interference/spillover effects in treatment evaluation as considered in my book #CausalAnalysis! #EconSky
causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting
Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average tr...
cran.r-project.org
January 25, 2024 at 12:56 PM
A new version of the causalweight package for R is online: cran.r-project.org/web//package.... Now including example datasets for the regression kink design and the estimation of interference/spillover effects in treatment evaluation as considered in my book #CausalAnalysis! #EconSky
Thank you for the recommendation. Will definitely do that! #CausalAnalysis #DiD
July 21, 2026 at 1:59 AM
Thank you for the recommendation. Will definitely do that! #CausalAnalysis #DiD
🌟 Thrilled to present our joint research on #CausalAnalysis with N. Apfel, J. Hatamyar, and J. Kueck at the Fondazione Bruno Kessler in the stunning city of Trento today! 🌄 Check out the event details here: irvapp.fbk.eu/events/detai...
March 3, 2025 at 10:22 AM
🌟 Thrilled to present our joint research on #CausalAnalysis with N. Apfel, J. Hatamyar, and J. Kueck at the Fondazione Bruno Kessler in the stunning city of Trento today! 🌄 Check out the event details here: irvapp.fbk.eu/events/detai...
Join us for our Winter School in #DataAnalytics and #MachineLearning, Feb 5-16 2024 at Fribourg University in a hybrid format. Courses in machine/deep learning & #CausalAnalysis using Python, R, Julia, Knime, and stunning landscapes nearby! Register now: www.unifr.ch/appecon/en/w...
January 9, 2024 at 11:48 AM
Join us for our Winter School in #DataAnalytics and #MachineLearning, Feb 5-16 2024 at Fribourg University in a hybrid format. Courses in machine/deep learning & #CausalAnalysis using Python, R, Julia, Knime, and stunning landscapes nearby! Register now: www.unifr.ch/appecon/en/w...
😀 New paper alert! Check out our #DifferenceInDifferences method for time-varying continuous treatments based on double #MachineLearning and kernel methods - joint work with Michel Haddad and Lucas Zhang: arxiv.org/abs/2410.21105 #CausalAnalysis
Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning
We propose a difference-in-differences (DiD) method for a time-varying continuous treatment and multiple time periods. Our framework assesses the average treatment effect on the treated (ATET) when co...
arxiv.org
October 31, 2024 at 3:39 PM
😀 New paper alert! Check out our #DifferenceInDifferences method for time-varying continuous treatments based on double #MachineLearning and kernel methods - joint work with Michel Haddad and Lucas Zhang: arxiv.org/abs/2410.21105 #CausalAnalysis
😀 Just learned that my book #CausalAnalysis mitpress.mit.edu/978026254591... is a finalist for the "Association of American Publishers Awards for Professional and Scholarly Excellence" (PROSE Awards) in the category "Computing and Information Sciences": publishers.org/wp-content/u...
Causal Analysis
A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...
mitpress.mit.edu
March 7, 2024 at 4:32 PM
😀 Just learned that my book #CausalAnalysis mitpress.mit.edu/978026254591... is a finalist for the "Association of American Publishers Awards for Professional and Scholarly Excellence" (PROSE Awards) in the category "Computing and Information Sciences": publishers.org/wp-content/u...
😀 Our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning is happening from Feb 3-14 2025 at Uni Fribourg! Registration is already open for our hybrid courses (in class or online) in machine/deep learning & #CausalAnalysis using Python, R, Julia, and Knime: unifr.ch/appecon/en/w...
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg
unifr.ch
July 4, 2024 at 12:55 PM
😀 Our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning is happening from Feb 3-14 2025 at Uni Fribourg! Registration is already open for our hybrid courses (in class or online) in machine/deep learning & #CausalAnalysis using Python, R, Julia, and Knime: unifr.ch/appecon/en/w...
Working with omics data and want to go beyond statistical ranking lists? Our new PLOS Computational Biology paper provides a structured list of recommendations to get started with causal analysis of omics data. Read more: journals.plos.org/ploscompbiol...
#CausalAnalysis #Omics #SystemsBiology
#CausalAnalysis #Omics #SystemsBiology
Ten quick tips for causal analysis of biomedical omics data
journals.plos.org
August 20, 2026 at 9:10 PM
Working with omics data and want to go beyond statistical ranking lists? Our new PLOS Computational Biology paper provides a structured list of recommendations to get started with causal analysis of omics data. Read more: journals.plos.org/ploscompbiol...
#CausalAnalysis #Omics #SystemsBiology
#CausalAnalysis #Omics #SystemsBiology