Liebe Sektionsmitglieder,
hiermit lade ich Sie herzlich zur Mitgliederversammlung der Sektion
„Methoden der empirischen Sozialforschung“ am 24.11.2022 um 16:00 Uhr
online via Zoom ein. Die Zugangsdaten zum Zoom-Meeting sind unterhalb
angeführt.
Die aktuelle Tagesordnung sowie das Protokoll der letzten
Mitgliederversammlung können Sie dem Anhang entnehmen. Wie bereits
angekündigt, soll die außerplanmäßige Mitgliederversammlung in erster
Linie zur Diskussion der erarbeiteten alternativen Aufnahmeverfahren
in die Sektion dienen. Hierzu finden Sie ebenfalls im Anhang eine von
der sektionsinternen Arbeitsgruppe entworfene Diskussionsgrundlage.
*******************************************************************************
Zoom-Einladung:
Thema: Mitgliederversammlung DGS-Methodensektion
Uhrzeit: 24.Nov. 2022 04:00 PM Amsterdam, Berlin, Rom, Stockholm, Wien
Zoom-Meeting beitreten
https://uni-leipzig.zoom.us/j/68874585294?pwd=eGZUd0lJUi84djg4bWZKRmVFTi9YZ…
Meeting-ID: 688 7458 5294
Kenncode: 161257
*******************************************************************************
Beste Grüße
Heinz Leitgöb
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GERMAN STATA CONFERENCE 2025
Announcement and Program
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March 28, 2025
Overview
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Date/Venue/Cost
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Date: Conference: March 28, 2025, 9:00–17:30
Workshop: March 27, 2025, 10:00–17:00
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Venue: University of Hamburg
Albrecht-Mendelssohn-Bartholdy-Hörsaal (Hörsaal K)
Edmund-Siemers-Allee 1
20146 Hamburg
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Costs: Conference only: 45 EUR (students: 20 EUR)
Workshop only: 75 EUR (students: 35 EUR)
Conference and workshop: 100 EUR (students: 50 EUR)
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Web: <https://www.stata.com/meeting/germany25/>
<https://dpc-software.de/2025-german-stata-conference/>
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Deadline for Registration: March 26th 2025
Meeting
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The 22nd German Stata Conference will be held on Friday, March 28th
2025 at the University of Hamvurg. We would like to invite everybody
from everywhere who is interested in using Stata to attend this
meeting. The academic program of the meeting is being organized by
Christian Brzinsky-Fay (University of Hamburg), Johannes Giesecke
(Humboldt University Berlin), and Ulrich Kohler (University of
Potsdam). The conference language will be English due to the
international nature of the meeting and the participation of
non-German guest speakers. The logistics of the conference are being
organized by DPC Software GmbH, distributor of Stata in several
countries including Germany, The Netherlands, Austria, Czech Republic
and Hungary (<http://www.dpc-software.de>).
Workshop
────────
On the day before the conference, there will be a one-day workshop on
/Interaction between Text Writing and Statistical Analysis: Result
Export and Dynamic Documents with Stata/ by Christian Brzinsky-Fay;
see the detailed description below the program.
Time table
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8:30–9:15 Registration
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9:15–9:30 Welcome
Christian Brzinsky-Fay
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9:30–10:30 Co-Creating with AI: The Role of LLMs as Intelligent
Data Science Agents
Frauke Kreuter
-──────────────────────────────────────────────────────────────────────
10:30–10:45 Coffee
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10:45–11:15 Into the Multiverse: Conducting and Visualizing
Multiverse Analysis in Stata
Daniel Krähmer
11:15–11:45 Pairwise comparisons of means with unequal variances in
Stata
Daniel Klein and and Felix Bittmann
11:45–12:15 _gunitchg: An egen-function for unit conversion
Ulrich Kohler
───────────────────────────────────────────────────────────────────────
12:15–13:15 Lunch Break
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13:15–14:30 Heterogeneous difference in differences
Di Liu
14:30–15:00 StataNow and Beyond: How to select the best license
model for your research and organization
Raoul Dittrich
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15:00–15:30 Coffee
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15:30–16:00 The Oaxaca-Blinder decomposition in Stata: an update
Ben Jann
16:00–16:30 Recent Developments in Discrete-Time Multistate
Estimation in Stata
Daniel C. Schneider
16:30–17:30 Open panel discussion with Stata developers
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17:30 End of meeting
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Conference venue
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University of Hamburg
Albrecht-Mendelssohn-Bartholdy-Hörsaal (Hörsaal K)
Edmund-Siemers-Allee 1
20146 Hamburg
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How to get to the venue
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The venues for both, the conferene and the workshop are within walking
distance from the the station "Hamburg Dammtor", which is a major
station for national and local trains and the S-Bahn. You reach the
venue of the conference by heading right from stations Northern exit.
The venue for the workshop is somewhat further down into the
university campus. From the stations's Northern exit go towards
Rothenbaumchausee and then follow the signs towards Van-Melle-Park
Registration and accommodations
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Participants are asked to travel at their own expense. The conference
fee covers costs for coffee, tea, and lunch. There will also be an
optional informal meal at additional cost on Friday evening.
Please register for the conference and/or the workshop using the form
on
<https://dpc-software.de/2025-german-stata-conference/#Registration>
For questions concerning enrollment you can approach Tim Prenzel by
E-mail to Tim.Prenzel(a)dpc-software.de or:
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Tim Prenzel
DPC Software GmbH
Prinzenstraße 2
42697 Solingen
Germany
Tel: +49 (0)212 / 22 47 16 -15
www.dpc-software.de
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Workshop
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Date and Place
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Thursday, March 27, 2025
10am–5pm
University of Hamburg
Von-Melle-Park 9, room A514
20146 Hamburg
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Topics
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The workshop deals with the exchange of results between Stata and a
Word processing program. In the first part, I will demonstrate the
different options to customize and export tables from Stata into MS
Word. We will learn how to create single tables using Statas -dtable-
and -etable- command, and we will procedd to the more sophisticated
use of the -collect- suite that is available since Stata 17. In the
second part, we will learn how to create dynamic or automated
documents. These are documents containing particular commands (tags)
that integrate up-to-date results (graphs, tables) into text
documents, which avoids repeated and annoying copy-and-paste actions
between Stata and MS Word. Using the dyndoc command, HTML or
docx-files can be created. I will also explain how to customize Word
of Excel files by using -putdocx- and -putexcel-.
The workshop addresses all students with a basic knowledge of Stata
that aim to use Stata results in seminar papers or final theses.
Presenter
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Christian Brzinsky-Fay
University of Hamburg
Department of Social Science
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Dr. Christian Brzinsky-Fay studied Political Science in Berlin and
received his ph.D. in Social Policy at University of Tampere. He is
teaching associate at the University of Hamburg, where he teaches
statistics and empirical methods at the department of Social
Sciences. Christian also works as consultant and trainer for DPC
Software and is a Stata user for more than 25 years.
Fees
────
Workshop only: 75 EUR (students 20 EUR) Workshop and Meeting: 100 EUR
(students 50 EUR)
Registration
────────────
Please register for the conference and/or the workshop using the form
on
<https://dpc-software.de/2025-german-stata-conference/#Registration>
Abstracts
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9:30–10:30 Co-Creating with AI: The Role of LLMs as Intelligent Data
Science Agents
Frauke Kreuter (LMU München)
/Abstract:/ As AI advances, large language models (LLMs) are shifting
from passive tools to active agents that collaborate with experts to
co-create knowledge and artifacts. In this talk, we explore the role
of LLMs as intelligent agents in data science workflows—partners that
not only automate tasks but also enhance decision-making by
understanding core data science principles, identifying cognitive
biases, and nudging experts toward more robust conclusions.
We discuss how an LLM, equipped with statistical reasoning, ethical AI
considerations, and an awareness of human cognitive pitfalls, can
challenge assumptions, suggest alternative methodologies, and improve
model interpretability. From guiding feature selection to questioning
spurious correlations, these AI agents act as reflective collaborators
rather than mere calculators.
We will examine case studies where LLMs have meaningfully influenced
analytical processes, highlight challenges in aligning AI nudges with
human intent, and explore the future of AI-augmented data science,
generally and while using Stata.
This talk is primarily conceptual and designed to inspire but also to
rethink our relationship with AI—not as a tool, but as a co-creator in
the pursuit of knowledge.
10:45–11:15 Into the Multiverse: Conducting and Visualizing Multiverse
Daniel Krähmer (LMU Munich, Department for Sociology)
/Abstract:/ Multiverse analysis is becoming an important tool in the
methodological repertoire of social scientists. The idea behind the
method—variously referred to as “multiverse analysis,” “multimodel
analysis,” “specification curve analysis,” or “vibration of
effects”—is straightforward: since there are many credi- ble ways of
formulating an analysis, and any single statistical estimate may
suffer from selective reporting, multiverse analysis explores all
reasonable specifications, contrasting authors’ preferred estimate
with a range of possible estimates. Instead of luring readers into a
dark corner of the “garden of forking paths,” multiverse analysis
provides a bird’s-eye view of the maze of researcher decisions and the
resulting range of defensible findings. While multiverse analysis
holds significant promise for quantitative empirical research, it
poses conceptual, computational, and practical challenges. This talk
provides a primer on implementing multiverse analysis in Stata. It
highlights the strengths and limitations of existing multi- verse
tools (e.g., mrobust, multivrs) and introduces a new plot type
designed to visualize multiverse results effectively. By addressing
key challenges in conducting and visualizing multiverse results, the
talk seeks to encourage Stata users to adopt multiverse analysis and
unlock its potential for robust and transparent research.
11:15–11:45 Pairwise comparisons of means with unequal variances in Stata
Daniel Klein (DZHW) and Felix Bittman (LIFBI)
/Abstract/ Researchers often want to mitigate the increased risk of
type I errors that arises from multiple pairwise comparisons of
means. Stata provides seven methods to adjust the corresponding
confidence intervals and p-values. However, four of these methods
assume equal sample sizes, variances, or both, and none explicitly
addresses unequal variances, which might pose limitations on applied
research. In this presentation, we briefly review how the implemented
methods modify the significance level or obtain critical values from
alternative distributions to adjust for multiple comparisons. We then
discuss three methods that explicitly account for unequal variances by
making additional adjustments to standard errors and degrees of
freedom. Finally, we (re-)introduce the pwmc command in Stata, which
implements these three methods, and compare their performance using a
Monte Carlo simulation.
11:45–12:15 _gunitchg: An egen-function for unit conversion
Ulrich Kohler (University of Potsdam, Faculty for Economic and Social
Sciences)
/Abstract:/ This talk presents an egen-function to convert units of
measurements for length, areas, volumes, angles, masses, temperatures
and currency. The function allows both, to convert many non-SI units
(e.g., inch, furlong, sunradius) to SI-units (from pico to peta) or
directly from a non-SI unit to another non-SI unit. Currencies are
converted by calling the Eurpean Central Bank through an API. The
conversion rate can be selected on a daily base or by an average of a
specified period. German users may be relived to realize that the
function alows converting areas also into units of "Saarland".
13:15–14:30 Heterogeneous difference in differences
Di Liu (StataCorp)
/Abstract:/ Stata 18 introduced two commands (each with four
estimators) to fit heterogeneous DID models: -hdidregress- for
repeated cross-sectional data and -xthdidregress- for
panel/longitudinal data. In this talk, we briefly introduce the theory
behind both estimators and then show how to fit heterogeneous DID
models using the new commands. We also demonstrate postestimation
tools to aggregate and visualize heterogeneous treatment effects and
perform diagnostic tests.
14:30–15:00 StataNow and Beyond: How to select the best license model
for your research and organization
Raoul Dittrich (DPC Software GmbH)
/Abstract/ The Stata license model is gradually changing from
perpetual licenses to a pay-as-you-go model called StataNow. Whilst
this gives researchers and users of Stata the advantage of having
always access to the latest features of the software, the
pay-as-you-go model requires different planning and budgeting for
software. Many different options to license Stata exist, depending on
edition, usage, organisation and many other factors. This talk makes
suggestions for finding a license option that meets the functional
requirements, including multi-year models and covering of EUR/USD
fluctuations.
15:30–16:00 The Oaxaca-Blinder decomposition in Stata: an update
Ben Jann (University of Bern)
/Abstract/ In 2008, I published the Stata command -oaxaca-, which
implements the popular Oaxaca-Blinder (OB) decomposition
technique. This technique is used to analyze differences in outcomes
between groups, such as the wage gap by gender or race. Over the
years, both the functionality of Stata and the literature on
decomposition methods have evolved, so that an update of the -oaxaca-
command is now long overdue. In this talk I will present a revised
version of -oaxaca- that uses modern Stata features such as
factor-variable notation and supports additional decomposition
variants that have been proposed in the literature (e.g., reweighted
decompositions or decompositions based on recentered influence
functions)
16:00–16:30 Recent Developments in Discrete-Time Multistate Estimation
in Stata
Daniel C. Schneider, Max Planck Institute for Demographic Research,
Rostock, Germany
/Abstract/ Multistate life tables (MSLTs), or multistate survival
models, have become a widely used analytical framework in the social
and health sciences. These models can be cast in continuous or
discrete time. The -dtms- Stata module (dtms stands for
"discrete-time multistate"), which was presented at the German Stata
Conference 2023 (Schneider 2023), implements the estimation of the
discrete-time flavor of these models. This presentation first outlines
discrete-time multistate estimation and then gives an overview of
recent package enhancements. Among them are: External multinomial
logistic estimation results, for example, from the interpolated Markov
chain (IMaCh) executable (Brouard 2021), can be imported for further
processing; difficulties with reloading saved dtms files across
package versions have been resolved; the initial state distribution
has been incorporated into the asymptotic analysis; new result type
"evol" calculates the evolution of population fractions, along with
the corresponding covariance matrix; estimation based on restricted
transitions has been improved; transition probabilities can be based
on time-varying covariate values; and several dtms trees can now be
held in memory.
• Brouard, Nicolas. "Computing Health Expectancies Using IMaCh: A
Maximum Likelihood Computer Program Using Interpolation of Markov
Chains." Paris: Institut National d’Etudes Demographiques (INED)
and EUROREVES, March 2021. Available at:
<https://euroreves.ined.fr/imach/>.
• Schneider, Daniel C. "Discrete-Time Multistate Regression Models in
Stata." Presented at the German Stata Conference, Berlin, June 16,
2023. Available at:
<https://www.stata.com/meeting/germany23/slides/Germany23_Schneider.pdf>.
16:30–17:30 Open panel discussion with developers
Contribute to the Stata community by sharing your feedback with
StataCorp's developers. From feature improvements to bug fixes and new
ways to analyze data, we want to hear how Stata can be made better for
you.
Scientific Organizers
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The academic program of the conference is being organized by Christian
Brzinsky-Fay (University of Hamburg), Johannes Giesecke (HU Berlin),
and Ulrich Kohler (University of Potsdam)
Logistics organizers
════════════════════
The logistics are being organized by DPC Software GmbH, the
distributor of Stata in several countries including Germany, The
Netherlands, Austria, Czech Republic and Hungary
(<https://dpc-software.de/>).
--
Prof. Dr. Ulrich Kohler
Universität Potsdam
Wirtschafts- und Sozialwissenschaftliche Fakultät
Professur für Methoden der empirischen Sozialforschung
August-Bebel-Straße 89
14482 Potsdam
E-Mail: ukohler(a)uni-potsdam.de
Web: www.uni-potsdam.de/soziologie-methoden/index.html