Julia Buchegger is a Master’s student in “Statistics - Probability - Mathematics in Economics” at TU Wien, on a research stay at the University of California, Irvine from September 2025 to February 2026, supported by the Marshall Plan Foundation. Her thesis titled „Yule-Walker Estimator and Adaptive Learning in Macroeconomic Models“ studies how two adaptive learning rules (constant-gain least squares and Yule-Walker) shape inflation and output dynamics in a New Keynesian framework. Using Monte Carlo simulations, she compares stability of expectations and volatility of key variables across learning mechanisms. The project helps disentangle whether observed volatility stems mainly from policy configuration or from the expectations algorithm agents use - evidence that can inform future monetary-policy calibration and communication.