Vereinsaktivitäten

Vortragsreihe Sommersemester 2024

Wir möchten Sie herzlich zu den folgenden Vorträgen im Rahmen der Seminarreihe des FWW im Sommersemester einladen:

18.04.2024 – Semester Launch

Ambre Nicolle (Ludwig-Maximilians-Universität München)

„The impact of trade wars on uninvolved countries: Evidence from the smartphone market“

25.04.2024 Hannes Rusch (Max-Planck-Institut Freiburg)

„High minority power facilitates democratization across ethnic fault lines“

02.05.2024 Artyom Jelnov (Ariel University)

Nähere Details folgen.

16.05.2024 Olivier Bonroy (UniversitéGrenoble Alpes / INRAE)

Nähere Details folgen.

05.06.2024 Michael Jetter (University of Western Australia)

Nähere Details folgen.

Achtung dieser Vortrag findet an einem Mittwoch statt.

06.06.2024 Fabian Herweg (Universität Bayreuth)

Nähere Details folgen.

13.06.2024 Toker Doganoglu (Universität Würzburg)

Nähere Details folgen.

20.06.2024 Justus Haucap (Heinrich-Heine-Universität Düsseldorf)

Nähere Details folgen.

27.06.2024 Hugo Molina (UniversitéParis-Saclay/ INRAE)

Nähere Details folgen.

11.07.2024 Armin Schmutzler (Universität Zürich)

Nähere Details folgen.

Diese finden donnerstags von 14.00 bis 15.30 Uhr s.t. im Seminarraum 01012 (Rempartstraße 16, 1. OG) statt. Es kann auch online teilgenommen werden. Bitte kontaktieren Sie elmar.offenwanger@vwl.uni-freiburg.de für die Zugangsdaten.

Wir freuen uns auf Ihre Teilnahme!

Vortrag

Matthias Haslberger (Universität St. Gallen)

„Winners and Losers of the Generative AI Revolution“

Abstract: Generative artificial intelligence is beginning to transform the world of work, reconfiguring economic and political inequalities in the process. An emergent scientific consensus holds that generative AI compresses performance differentials between more and less able workers. We argue that this view, which is based on experiments with a narrow range of occupations, may not scale to the labour market at large, where AI largely reproduces existing inequalities. Meanwhile, little is known about how first-hand experience with AI use shapes people’s attitudes towards the technology and potential policy responses.

We conducted a pre-registered online experiment with a representative sample of 1,041 working-age adults from the UK. We asked respondents to complete a set of text-based tasks of varying complexity and ambiguity while randomly assigning them to treatments that encouraged or discouraged the use of ChatGPT. We measured their response time and answer quality as an indicator of productivity and surveyed their attitudes towards AI and compensatory social policies.

We find that exposure to ChatGPT led to significant reductions in time spent accompanied by substantial improvements in answer quality. The productivity increases were greatest in more complex and less ambiguous tasks. The treatment did not affect inequalities in performance along gender, educational, or occupational lines. However, older workers benefited less than younger workers from ChatGPT exposure. Thus, while AI appears to compress the returns to occupation-specific skills, existing inequalities between groups were largely replicated.

While many respondents were concerned about the impact of AI on society and their own lives, respondents in the treatment group generally had a more positive attitude towards the technology. However, we found no effect of AI exposure on social policy preferences or political leanings. Overall, a cautious attitude prevailed: mindful of both risks and benefits, respondents expressed widespread support for government regulation of AI. A quantitative analysis of open text answers affirms these findings.

Our survey enables a first big-picture investigation of the society-wide impact of generative AI on economic and political inequalities. Our study shows major aggregate effects on productivity, but relatively minor consequences for between-group inequalities due to AI itself. Against a baseline of high scepticism, exposure to AI leads to more positive attitudes towards the technology without affecting social policy preferences. Thus, our study provides early evidence that AI will not be the great equaliser some are hoping for.

Der Vortrag findet am Donnerstag, den 01. Februar 2024, von 14:00-15:30 s.t. im Seminarraum 02012 (Rempartstraße 16, 2. OG) statt. Es kann auch online teilgenommen werden. Bitte kontaktieren Sie elmar.offenwanger@vwl.uni-freiburg.de oder  info@fww-ev.de für die Zugangsdaten.

Wir freuen uns auf Ihre Teilnahme!

Vortragsreihe Wintersemester 2023/2024

Wir möchten Sie herzlich zu den folgenden Vorträgen im Rahmen der Seminarreihe des FWW im Wintersemester einladen:

17.10.2023 – Semester Launch

Omer Majeed (Australian Central Bank)

„Do monetary policy and Economic Conditions impact innovation? Evidence from Australian administrative data“

19.10.2023 Joschka Wanner (Universität Würzburg & IfW Kiel)

„Multinational Production, Trade, and Carbon Emissions joint work with Yuta Watabe“

02.11.2023 Dominique Demougin (RPTU Kaiserslautern)

„Non-comprehensive contracts“ joint work with Benjamin Bental

09.11.2023 Nikolai Stähler (Deutsche Bundesbank)

„Climate Clubbing, Trade and the Real Rate“ joint work with Anna Ernst and Natascha Hinterlang

16.11.2023 Lyudmila Grigoryeva (Universität St. Gallen)

„Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data“ joint work with Giovanni Ballarin, Petros Dellaportas, Marcel Hirt, Sophie van Huellen and Juan-Pablo Ortega

23.11.2023 Fabian Krüger (Karlsruhe Institut für Technologie)

„Prediction Intervals for Economic Fixed-Event Forecasts“ joint work with Hendrik Plett

30.11.2023 Michael Evers (Universität Hohenheim)

„Solving Nonlinear Rational Expectation Models by Approximating the Stochastic Equilibrium System – Some Theory and Applications“

07.12.2023 Michael Pflüger (Universität Würzburg)

„The Worth of Cities in Germany“ Joint work with Katja Gehr

14.12.2023 Carlos Trucíos Maza (University of Campinas)

„Forecasting conditional covariance matrices in high-dimensional time series via general dynamic factor models: portfolio allocation and risk measures“

Dieser Vortrag findet um 14:00 wie gewohnt statt.

14.12.2023 Bernd Fitzenberger (Universität Erlangen-Nürnberg & IAB)

Nähere Details folgen.

Achtung dieser Vortrag findet um 17:00 statt.

21.12.2023 Jerome Dumortier (Indiana University)

“Consequences of climate change and road transport decarbonization for U.S. agriculture“

11.01.2024 Christoph Hambel (Tilburg University)

„Three reasons to price carbon under uncertainty: Accuracy of simple rules“

Aufgrund der aktuellen Streiksituation in Deutschland muss der Vortrag leider abgesagt werden!

18.01.2024 Franziska Birke (Pädagogische Hochschule Freiburg)

„Teacher education in economics as pathway to economically  literate citizens: Conceptual framework and empirical evidence regarding main challenges“

25.01.2024 Matei Demetrescu (Technische Universität Dortmund)

„An IVX Approach to Detecting the Predictive Power of Imperfect Predictors with smoothly Varying Components“

Aufgrund der aktuellen Streiksituation in Deutschland muss der Vortrag leider abgesagt werden!

01.02.2024 Matthias Haslberger FWW e.V. (Universität St. Gallen)

„Winners and Losers of the Generative AI Revolution“

Diese finden donnerstags von 14.00 bis 15.30 Uhr s.t. im Seminarraum 01012 (Rempartstraße 16, 1. OG) statt. Es kann auch online teilgenommen werden. Bitte kontaktieren Sie elmar.offenwanger@vwl.uni-freiburg.de für die Zugangsdaten.

Wir freuen uns auf Ihre Teilnahme!