activity
20212026
most citedMultiple Structural Breaks in Interactive Effects Panel Data and the Impact of Quantitative Easing on Bank Lending

8 citations · 8 across the 5 of their papers we have counts for

collaborators

6 papers

econ.EM2026

Threshold Regression for Fixed-T Panel Data with Interactive Fixed Effects

Jan Ditzen, Yiannis Karavias, Joakim Westerlund

This paper develops a new toolbox for estimation and inference in panel data threshold regression models with interactive fixed effects and a fixed number of time periods, T. The t…

econ.EM2025

Interactive, Grouped and Non-separable Fixed Effects: A Practitioner's Guide to the New Panel Data Econometrics

Jan Ditzen, Yiannis Karavias

The past 20 years have brought fundamental advances in modeling unobserved heterogeneity in panel data. Interactive Fixed Effects (IFE) proved to be a foundational framework, gener…

econ.EM2023

Threshold Regression in Heterogeneous Panel Data with Interactive Fixed Effects

Marco Barassi, Yiannis Karavias, Chongxian Zhu

This paper introduces unit-specific heterogeneity in panel data threshold regression. We develop the asymptotic theory for models with heterogeneous thresholds, heterogeneous slope…

econ.EM2022★ 8 cited

Multiple Structural Breaks in Interactive Effects Panel Data and the Impact of Quantitative Easing on Bank Lending

Jan Ditzen, Yiannis Karavias, Joakim Westerlund

This paper develops a new toolbox for multiple structural break detection in panel data models with interactive effects. The toolbox includes tests for the presence of structural b…

econ.EM2021

Structural Breaks in Interactive Effects Panels and the Stock Market Reaction to COVID-19

Yiannis Karavias, Paresh Narayan, Joakim Westerlund

Dealing with structural breaks is an important step in most, if not all, empirical economic research. This is particularly true in panel data comprised of many cross-sectional unit…

econ.EM2021

Testing and Estimating Structural Breaks in Time Series and Panel Data in Stata

Jan Ditzen, Yiannis Karavias, Joakim Westerlund

Identifying structural change is a crucial step in analysis of time series and panel data. The longer the time span, the higher the likelihood that the model parameters have change…