Martin Huber
@CausalHuber
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Professor of Applied Econometrics and Policy Evaluation at @ses_unifr @unifr - causal analysis, statistics, econometrics, machine learning...and telemarking
Fribourg/Freiburg
Joined September 2019
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Pinned Tweet
😀🔥 Registration is open for our 5th
#Fribourg
#WinterSchool
in
#DataAnalytics
&
#MachineLearning
, Feb 3-14, 2025, in hybrid format at
@ses_unifr
@unifr
and online. Courses on machine/deep learning &
#CausalAnalysis
using
#Python
,
#RStats
,
#Julia
,
#Knime
:
1
9
24
Exciting news! 🎉📚 Today (August 1st) marks the official release of my book
#CausalAnalysis
, available now in bookstores worldwide:
#EconTwitter
#EpiTwitter
#StatsTwitter
#CausalTwitter
@mitpress
13
204
1K
Exciting news concerning my textbook "
#CausalAnalysis
:
#ImpactEvaluation
and
#CausalMachineLearning
with Applications in R (
#RStats
). I've just submitted the final corrections to the publisher
@mitpress
😊The book will be available in summer 2023, including a free online version.
15
161
1K
📊📚 The R code for the empirical examples in my newly released book
#CausalAnalysis
is now accessible through this link:
#RStats
#EconTwitter
#EpiTwitter
#StatsTwitter
#CausalTwitter
Exciting news! 🎉📚 Today (August 1st) marks the official release of my book
#CausalAnalysis
, available now in bookstores worldwide:
#EconTwitter
#EpiTwitter
#StatsTwitter
#CausalTwitter
@mitpress
13
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1K
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🎉My family and I have just received the first copy of my book, Causal Analysis. It's officially released by
@mitpress
on August 1st! 📚
#BookRelease
#CausalAnalysis
#Econtwitter
#Epitwitter
#CausalTwitter
#DataScience
14
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514
#EconTwitter
check out the 1st draft of my book
#CausalAnalysis
, covering methods of
#CausalInference
/
#PolicyEvaluation
(also trends like
#CausalMachineLearning
) and including practical examples in R (
#RStats
) - here's the link:
#EpiTwitter
#CausalTwitter
7
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469
🔥 Exciting news about my book
#CausalAnalysis
! A free online version is now available, thanks to
@mitpress
for making this possible! Here's the link to the open access version:
#EconTwitter
#CausalTwitter
#Statstwitter
#Epitwitter
5
95
372
News about my book
#CausalAnalysis
-Impact Evaluation and Causal
#MachineLearning
with Applications in
#RStats
, published by
@mitpress
on August 1: the cover has been revealed! I hope you like the eye-catching yellow design:
#CausalTwitter
#EconTwitter
7
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331
News concerning my book
#CausalAnalysis
(): 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:
#Rstats
#Econtwitter
0
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Exciting news! My book "
#CausalAnalysis
: Impact Evaluation and
#CausalMachineLearning
with Applications in R" will be published by
@mitpress
on August 1st:
#EconTwitter
#EpiTwitter
#CausalTwitter
#StatsTwitter
#RStats
#DataScience
2
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263
Delighted to announce that
@mitpress
is going to publish my book "
#CausalAnalysis
: Impact evaluation and
#CausalMachineLearning
with applications in
#RStats
". 😃
#EconTwitter
#EpiTwitter
#CausalTwitter
Special thanks to
@causalinf
and
@InstEconomist
for their support and advice!
#EconTwitter
check out the 1st draft of my book
#CausalAnalysis
, covering methods of
#CausalInference
/
#PolicyEvaluation
(also trends like
#CausalMachineLearning
) and including practical examples in R (
#RStats
) - here's the link:
#EpiTwitter
#CausalTwitter
7
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Just under a month left until my book
#CausalAnalysis
-
#ImpactEvaluation
and
#CausalMachineLearning
with Applications in R is released on Aug 1st by
@mitpress
! 😀
#RStats
#EconTwitter
#EpiTwitter
#PolicyEvaluation
5
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221
Here is the table of contents of my textbook
#CausalAnalysis
published by
@mitpress
in 2023. It covers a range of different
#CausalInference
methods, including "hot topics" like (causal)
#MachineLearning
, spillover effects (due to interference), and sensitivity analyses
#RStats
Exciting news concerning my textbook "
#CausalAnalysis
:
#ImpactEvaluation
and
#CausalMachineLearning
with Applications in R (
#RStats
). I've just submitted the final corrections to the publisher
@mitpress
😊The book will be available in summer 2023, including a free online version.
15
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1K
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🔥
#EconTwitter
Check out my new paper on
#DifferenceinDifferences
, exploring the testability of the common trend assumption in panel data without requiring multiple pre-treatment periods for placebo tests:
#CausalInference
#StatsTwitter
#Econometrics
6
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Our working paper on
#MachineLearning
for staggered
#DifferenceInDifferences
is out! Our method explores effect heterogeneity under staggered treatment adoption and is applied to assess the effect of Brazil's Family Health Program on infant mortality:
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🔥Only 10 days left until the release of my book
#CausalAnalysis
. I'm very happy to see that it's currently Amazon's
#1
new release in "Business Mathematics" and
#2
new release in "Econometrics and Statistics".
#EconTwitter
#EpiTwitter
#CausalTwitter
#StatsTwitter
5
25
181
A new version of the causalweight package for
#RStats
is online:
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
#Econtwitter
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🔥 Check out the new book on combining
#ImpactEvaluation
and
#ArtificialIntelligence
: 'Applied
#CausalInference
Powered by ML and
#AI
' by
@VC31415
, C. Hansen, N. Kallus,
@MartinSpindler5
, and
@syrgkanis
. Available online:
#EconTwitter
#EpiTwitter
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If you got lost in the jungle of recent developments in
#causalanalysis
based on difference-in-differences, you should get this (free) book (work in progress) by
@CdeChaisemartin
and Xavier D'Haultfœuille: 👍😀
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Are identifying assumptions for
#CausalAnalysis
and
#PolicyEvaluation
always untestable? My new working paper shows that under certain conditions, identifying assumptions (like unconfoundedness) can actually be tested in data:
#Epitwitter
#Econtwitter
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#CausalInfernce
is spreading across all parts of society 😀 The target group of this book 👇by Vasil Yasenov are...toddlers (and probably other non-statisticians with an interest in cause and effects). You can't start too early with learning about
#causality
😉
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Take a look at our updated causalweight package for
#CausalAnalysis
in
#RStats
: . It now includes a test for the identification of causal effects in observational data as proposed in our working paper: .
#EconTwitter
#CausalTwitter
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Very interesting blog post on dos and don’ts in
#EventStudies
and
#DifferenceInDifferences
for
#CausalAnalysis
by Nazlı Alagöz:
0
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😀 Just learned that my book
#CausalAnalysis
is a finalist for the "Association of American Publishers Awards for Professional and Scholarly Excellence" (PROSE Awards) in the category "Computing and Information Sciences":
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Exciting update on my book
#CausalAnalysis
: Now, many empirical examples initially available for the software R (
#Rstats
) are also provided as
#Python
code! Download them for free from the following website:
#Econtwitter
#Causaltwitter
#Epitwitter
0
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A very interesting & shocking diff-in-diff-based
#CausalAnalysis
finds that
@Nestle
's infant formula market entrance in lower-income countries substantially increased infant mortality by more than 20% (!!) among those using unclean water:
#CausalTwitter
Stumbled on a staggering result:
Starting in the 1960s,
@Nestle
aggressively marketed baby formula > breastfeeding in LMICs. Formula was often mixed with unclean water
The result: increased infant mortality and *212,000* excess deaths per annum by 1981
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@causalinf
@nickchk
#EconTwitter
, after a round of revision, I am stepping back into the ring😃Here's the (downloadable) 2nd draft of my book
#CausalAnalysis
(including
#CausalMachineLearning
): Thanks to all who sent comments on the previous draft!
#Rstats
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The range of high-quality textbooks on quantitative methods keeps growing and growing! Two new books on
#statistics
and
#econometrics
by
@BruceEHansen
👇👍
If you are teaching grad econometrics in the spring, consider using Econometrics.
#EconTwitter
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My survey chapter on
#causalmediation
(analysis of
#causalmechanisms
or direct/indirect
#treatmenteffects
) just appeared in the
@Glabor_org
's Handbook of Labor, Human Resources and Population Economics:
#Causaltwitter
#Econtwitter
#epitwitter
#RStats
0
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My survey on causal discovery (learning causality in a system of variables in a data-driven manner) is now available on ArXiv, as pointed out by
@CavaliereGiu
:
Hi
#EconTwitter
! 📊
Interested in causal inference?
Check out this brand new survey by
@CausalHuber
on "causal discovery" — where data-driven methods are used to find causal relationships between many variables. 📚
Don't miss out — very interesting stuff! ⭐️
Link:
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🔥Our new working paper (joint with
@TotaroApfel
,
@HatamyarJ
, and J. Kück) proposes a data-driven method for identifying (sets of) variables that satisfy either selection-on-observables or instrumental variables assumptions in causal models:
#EconTwitter
4
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87
Excited to announce that I'll be teaching an online course on
#CausalAnalysis
using instrumental variables (with examples in
#rstats
) at
@gesistraining
on Oct 29th & 30th 2024. For more details and to register online, visit:
#EconTwitter
#CausalTwitter
*Treatment Evaluation Based on Instrumental Variables* by
@CausalHuber
🗓️ 29. - 30.10.2024
🏢 Online
🌐
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We are back...at the legendary Ski and
#Labor
#Economics
Seminar (SKILS)! This time in
#Lenzerheide
#Switzerland
#EconSki
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🔥Finally published! Our paper (joint with
@SchelkerMark
and
@schluwie03
) on causal
#mediationanalysis
, using the
#ChangesInChanges
framework of
@Susan_Athey
and
@guido_imbens
to tackle mediator endogeneity:
#CausalTwitter
#EconTwitter
#EpiTwitter
1
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😀Check out my new data repository on "Impact Evaluation in Firms and Organizations," featuring datasets and
#RStats
/
#Python
code for business use cases in impact evaluation (eg, assessing the sales impact of marketing interventions):
#DataScience
2
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74
Delighted to present our paper (with J. Kueck) "Testing the identification of causal effects in observational data" in the online econometrics seminar at
@BrownUniversity
today. Excited to engage with faculty members such as
@jondr44
and
@instrumenthull
.
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#LaborEconomics
on skis: several European labor economists and
@metrics52
from
@MITEcon
in
#Engelberg
(
#Switzerland
) - here some impressions from the winter wonderland👇
#EconSki
2
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In social sciences,
#CausalAnalysis
mostly focuses on evaluating a treatment, as seen in .
#CausalDiscovery
(prominent in
#computerscience
) aims to learn causality within an entire system of variables - here's a gentle introduction:
1
17
66
Check out our latest publication on
#causalmediation
(joint with
@SchelkerMark
and
@schluwie03
), in which we adapt the changes-in-changes approach of
@Susan_Athey
and
@guido_imbens
to evaluating
#causalmechanisms
:
#causaltwitter
#EconTwitter
#statstwitter
0
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Join the giants of
#CausalAnalysis
at the Causal
#AI
conference - online or in person:
Prof.
@yudapearl
leading the speakers session in this year's Causal AI conference along with Guido Imbens!
Are you attending in person, Prof.
@yudapearl
?
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It is wrong that IV assumptions for
#causalinference
are not testable. See here for some of the tests recently proposed:
You can even combine testing with
#machinelearning
:
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How do inference methods (to obtain confidence intervals and p-values) for
#propensityscore
matching/weighting estimators (used in
#causalinference
) perform in (finite) samples? See the following study:
#epitwitter
#Econtwitter
#Statistics
#stattwitter
2
20
62
Back at the legendary ski and labor economics seminar (SKILS) in
#Lenzerheide
#Switzerland
with
@ChristinaFelfe
@rlalive
@metrics52
@a_steinmayr
@EbmerWinter
and many other skiing labor economists
#EconSki
#EconTwitter
2
1
61
🔥Update of our paper Testing the identification of causal effects in observational data (joint with J Kück), providing a
#MachineLearning
test for the joint satisfaction of selection-on-observables & IV validity, which is sufficient for identification:
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Our new publication (joint with Y. Hsu, Y. Lee, L. Lettry) on
#causalmediation
analysis for continuous treatments (disentangling direct and indirect causal effects). Code available in the causalweight package for R.
#econtwitter
#RStats
#causalinference
0
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In IV regression, converting multivalued treatments (eg education) to binary ones(high/low education) may violate the
#exclusionrestriction
. Our publication (with
@eckhoffandresen
) provides conditions for identification+testable implications:
#Econtwitter
4
15
55
🔥Finally published in the
#Econometrics
Journal: Our paper (joint work with Christian Dahl and
@GioMellace
) on the instrument-based evaluation of local average treatment effects in the presence of defiers (non-monotonicity):
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We've updated our paper on estimating local average treatment effects (LATE) using multiple instruments when only some of them are valid. Our method detects the valid instruments (under certain conditions) & allows exploring LATE heterogeneity
#EconTwitter
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Delighted to have contributed a chapter on
#policyevaluation
/
#causalanalysis
(including
#causalmachinelearning
) to this brand new handbook on methods and applications in empirical microeconomics 😀:
#DataScience
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News about my recently published book
#CausalAnalysis
📖 Visit our website for all things related to the book: R examples, typo fixes, and a bonus chapter on causal discovery (not in the book):
#DataScience
#BookRelease
#EconTwitter
#CausalTwitter
#RStats
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Check out this survey on state-of-the-art methods for
#causalinference
and
#policyevaluation
, which includes (in contrast to most other surveys) a discussion on
#spillover
and interference effects:
#CausalTwitter
#EconTwitter
#EpiTwitter
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Special thanks go to
@causalinf
and
@InstEconomist
for their great support in the process of finding a publisher,
@mitpress
for publishing the book, and to the following colleagues who took the time to read the pdf draft version and made very valuable comments:
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The "godfathers" of
#causalinference
in
#economics
, who triggered and fueled the so-called "credibility revolution" (finding and isolating random variation in data to credibly assess causal effects), receive their well-deserved prize. Congratulations!!!
#DataScience
BREAKING NEWS:
The 2021 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel has been awarded with one half to David Card and the other half jointly to Joshua D. Angrist and Guido W. Imbens.
#NobelPrize
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🔥 job alert 🔥open Ph.D. position in
#econometrics
,
#MachineLearning
, and
#causalinference
at
@ses_unifr
- please apply until Dec 10th (or share the tweet):
#EconTwitter
#CausalTwitter
#StatsTwitter
1
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Two strands of research on
#Causal
#AI
&
#CausalMachineLearning
are: learning control variables when evaluating a predefined treatment; learning general causal structures, e.g. which treatments affect an outcome. Finally, the two strands are converging:
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10
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🔥Our study (joint with M Bia & L Lafférs) on treatment evaluation under sample selection (when a nonrandom subset of outcomes is unobserved) using double
#MachineLearning
has been published in the Journal of Business & Economic Statistics:
#EconTwitter
1
6
45
🚀 Check out our new working paper (joint with
@EconKevin
&
@lukaslaffers
) on testing the identification of causal effects in mediation & dynamic treatment models in observational data, with an application to Slovak labor market data:
#EconTwitter
1
8
44
More than 60 participants at the
#Fribourg
#WinterSchool
in
#DataAnalytics
and
#MachineLearning
😃Most of them online, but several participants taking courses in presence at
@ses_unifr
@unifr
. Watch out for the next winter school in Feb 2023!
#Econtwitter
1
5
43
Our paper (joint with Michela Bia &
@lukaslaffers
) on double machine learning for treatment evaluation with nonrandomly missing outcome variables has been published in the Journal of Business & Economic Statistics
#EconTwitter
#CausalTwitter
#StatsTwitter
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Interested in
#CausalAnalysis
and
#MachineLearning
? Join
@guido_imbens
,
@SVansteelandt
, and me for the workshop on Machine Learning in Program Evaluation organized by
@LISER_LM
, June 20-21 in Belval,
#Luxembourg
:
#EconTwitter
#CausalTwitter
#EpiTwitter
🚨 Call for papers:
Workshop on
‘Machine Learning in Program Evaluation, High-dimensionality and Visualization Techniques’
June 20-21, 2023 in Belval, Luxembourg
Keynote speakers:
G. Imbens (
@guido_imbens
),
M. Huber (
@CausalHuber
),
S. Vansteelandt (
@SVansteelandt
)
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Presenting work on causal
#machinelearning
and
#policyevaluation
this morning at the
#VfS_conference2022
in beautiful
#Basel
😀
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🔥Wanna assess causal mechanisms while controlling for covariates in a data-driven way? Our paper on
#mediationanalysis
with
#causalmachinelearning
(with H Farbmacher
@lukaslaffers
H Langen M Spindler) just got published in the Econometrics Journal
#EctJ
:
0
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If you are interested in graphical representations of different strategies for
#causalinference
based on
#causalgraphs
(including
#regressiondiscontinuity
designs), then check out this paper:
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🔥Our paper (joint with H Bodory, L Camponovo,
@MichaelLechner8
) on nonparametric bootstrap methods for propensity score matching (with a fixed number of matches) has been published in Statistics & Probability Letters:
#Econtwitter
#Causaltwitter
0
4
39
Last call for the workshop on
#machinelearning
in program evaluation organized by
@LISERinLUX
in Belval, Luxembourg. Join
@guido_imbens
,
@SVansteelandt
, and me for this exciting conference:
#Econtwitter
#Causaltwitter
0
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Curious about what's inside my book
#CausalAnalysis
- Impact Evaluation and Causal
#MachineLearning
with Applications in R ()? You can explore the table of contents here:
#rstats
#EconTwitter
#Statstwitter
#Epitwitter
#Causaltwitter
1
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#Economics
has moved from a largely theory-driven discipline to one that is (also) largely based on empirical evidence.
#CausalInference
methods play a key role in this development. And more to come through the ongoing integration of
#AI
&
#MachineLearning
into
#CausalAnalysis
.
How economics has changed through the decades since the 1950s, as seen in the paper titles of the economics journals AER, JPE and QJE.
Paper by
@hugomoises
and Brice:
Ht
@DurRobert
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Very happy to deliver a short course on optimal policy learning based on
#causalmachinelearning
in the Workshops for
#Ukraine
series
On May 16th we will have a workshop on Optimal policy learning based on causal machine learning in R by
@CausalHuber
.
More info:
Please share!
#RStats
#EconTwitter
#AcademicTwitter
1
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4
1
7
36
With
@pietrobiroli
from
@econ_uzh
and Steven Stillman from
@unibz_news
at the SKILS (Ski and Labor Seminar) 2020 in
#Engelberg
. Fantastic applied
#laboreconomics
conference and great skiing!
#EconSki
3
2
35
Attending the
#MachineLearning
in
#ProgramEvaluation
Conference at
@LISERinLUX
, which has started today with a great lecture on causal methods by Nobel laureate
@guido_imbens
0
3
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Check out this great tutorial for
#CausalMachineLearning
in
#RStats
(forwarded to me by
@meier_armando
): 👍
#DataScience
#machinelearning
#EconTwitter
#StatsTwitter
#EpiTwitter
#causaltwitter
0
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Our publication (joint with H Fricke, M Frölich,
@MichaelLechner8
) on
#causalinference
under treatment endogeneity and non-response bias based on
#instrumentalvariables
- code available in the causalweight package for R:
#Econtwitter
#rstats
0
10
34
🔥Working paper on estimating direct & indirect quantile treatment effects using double
#MachineLearning
: assessing
#CausalMechanisms
across ranks of the outcome distribution, e.g. different wage quantiles, while controlling for high-dimensional covariates:
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🔥job alert🔥: Ph.D. position in
#causalinference
,
#econometrics
, and
#machinelearning
(German and English).
Doktorandenstelle in den Bereichen
#Kausalanalyse
, #Ökonometrie und
#maschinellesLernen
:
0
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🔥I have just released a brief, selective survey on use cases of causal machine learning in marketing. It is open access and available here:
#DataScience
#MachineLearning
#Causality
#ImpactEvaluation
0
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How to distinguish the causal effect of a policy (eg unemployment benefits) on targeted individuals from spillover or general equilibrium effects in a region/market? This study outlines challenges and approaches:
#EconTwitter
#economics
#causalinference
0
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Excited to teach "Predictive and Causal Machine Learning in
#RStats
" at the
#Fribourg
Winter School in Data Analytics and Machine Learning! Happy to see a great turnout, both in-person and online. 😊
#DataAnalytics
#MachineLearning
@ses_unifr
@unifr
0
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Wanna see all
#causalinference
methods you can think of merged into a single research design? Here we go 👇
🚨 New working paper🚨
Been working on this for a while, so I'm really excited to share this. I propose a new estimator combining the strength of existing research designs, along w/ a Stata command. This is still very much in developing stage so feedback is welcome!
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The 4th
#Fribourg
Winter School in
#DataAnalytics
&
#MachineLearning
is happening from Feb 5-16 2024, at
@ses_unifr
@unifr
! Register here for our hybrid courses (live/online) in machine/deep learning &
#CausalAnalysis
using
#Python
,
#RStats
,
#Julia
,
#Knime
:
1
13
31
🔥Registration is now open for our 4th
#Fribourg
Winter School in
#DataAnalytics
and
#MachineLearning
(5-16 Feb 2024)! Join us for training on machine/deep learning and
#CausalAnalysis
using programming languages like
#Python
,
#RStats
,
#Julia
, and
#Knime
:
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12
30
A great article by
@MatteoCourthoud
on the intuition and implementation of causal trees for the data-driven detection of heterogeneous causal effects based on
#machinelearning
:
0
1
30
Had the wonderful opportunity to visit
@IFAU_SE
in Sweden this week and deliver a course on
#CausalMachineLearning
, along with a research talk. Thank you very much
@adrianadermon
and the entire
@IFAU_SE
for hosting me in the charming city of
#Uppsala
-it was great to meet you!
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2
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0
30
In beautiful
#T
übingen for giving a talk on
#causalinference
in the economics seminar of
@uni_tue
- thanks a lot, Martin Biewen and colleagues for hosting me 😀...and more to come in tomorrow's talk by
@MichaelLechner8
in the management seminar 😉
#datascience
2
2
30
This is great - thanks a lot
@AleksanderMolak
for adapting the
#Python
code of my book
#CausalAnalysis
to
#Jupyter
notebook! 👍😃
I adapted the code of chapter 3 of
@CausalHuber
's book to Jupyter notebook to make it more accessible for the Python community.
I introduced some minor improvements and added some visuals.
You can check it here:
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5
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0
1
28
Ever wondered whether difference-in-differences estimation "works" for a multivalued/continuous (rather than binary) treatment, as e.g. the intensity of public good provision (such as childcare)? This paper discusses the required assumptions:
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3
28
0
2
27
The 2nd
#WinterSchool
in
#DataAnalytics
and
#MachineLearning
is coming up in hybrid format (online or in
#Fribourg
) Feb 7-18 2022. Get trained in quantitative methods for
#prediction
and
#CausalAnalysis
using
#Knime
,
#RStats
, and
#Python
- register here:
0
10
27
@LuigiBiagini
@yudapearl
@causalinf
Strictly speaking neither necessary nor sufficient. Confounding may imply a correlation that is not causal. And a non-monotonic causal relation may imply a zero correlation (even though this is a special case)
4
0
28
😀Thanks to M Kecskésová &
@lukaslaffers
, our
#machinelearning
method for causal analysis with non-randomly missing outcomes (, joint with M Bia &
@lukaslaffers
) is now available in the package for
#Python
:
0
5
26
Join us for our Winter School in
#DataAnalytics
and
#MachineLearning
, Feb 5-16 2024 at
@ses_unifr
in a hybrid format. Courses in machine/deep learning &
#CausalAnalysis
using
#Python
,
#RStats
,
#Julia
,
#Knime
, and stunning landscapes nearby! Register now:
0
6
24
An R package containing example data sets for
#causalinference
from various textbooks:
#RStats
#CausalTwitter
#policyevaluation
0
8
24
Check out this compilation of free
#causalinference
resources by
@MatteoCourthoud
#causaltwitter
#causalanalysis
1
7
25
Honored that our article on
#CausalMediationAnalysis
based on double
#MachineLearning
made it into the Editors' Choice at the Econometrics Journal
#EctJ
😀
Read for free
#EctJ
's May 2022 Editors' Choice of lead article on causal mediation analysis with double machine learning by
@CausalHuber
,
@lukaslaffers
,
@MartinSpindler5
, and their Twitter-free coauthors
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3
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0
1
26
Join us for our Master program in
#DataAnalytics
&
#Economics
at
@ses_unifr
@unifr
, the first in Switzerland to integrate data analytics & AI with the economics of firms & markets, tailored to meet the demands of digitisation.
2
7
24
#Econtwitter
: Our
@EJ_RES
publication (joint with
@HerzHolger
, T Maillard-Bjedov, S Tyahlo) on differential time preferences and present bias across language groups; investigating French- and German-speaking pupils in the bilingual town of
#Murten
/
#Morat
,
#Fribourg
,
#Switzerland
Recently accepted by EJ: "Time Preferences across Language Groups: Evidence on Intertemporal Choices from the Swiss Language Border" Holger Herz, Martin Huber, Tjaša Maillard-Bjedov & Svitlana Tyahlo
0
12
47
1
10
24
#EconTwitter
, just a little update concerning the "Fribourg Winter School in Data Analytics and Machine Learning" (Feb 8-19 2021) in
#statistics
,
#machinelearning
, and
#causalinference
: It will also be possible to attend online via "Teams".
0
22
23
Just typed "Write a paper on instrumental variable regression consisting of 6000 words" into
#OpenAI
and this is what I got in a few minutes. Thinking about which journal I should submit it to...probably a lower-ranked one. Does the "Journal of AI-generated papers" already exist?
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