New paper by Fritz Schiltz, Chiara Masci, Tommaso Agasisti and Daniel HORN in Applied Economics:
Multiplicative interaction terms are widely used in economics to identify heterogeneous effects and to tailor policy recommendations. The execution of these models is often flawed due to specification and interpretation errors. This article introduces regression trees and regression trees ensembles to model and visualize interaction effects. Tree-based methods include interactions by construction and in a nonlinear manner. Visualizing nonlinear interaction effects in a way that can be easily read overcome common interpretation errors. We apply the proposed approach to two different datasets to illustrate its usefulness.
Venue: MTA HTK 1097 Budapest Tóth Kálmán u. 4. fszt. K0.11-12 David Garcia (Complexity Science Hub Vienna): Analyzing gender inequality through large-scale Facebook advertising data Abstract Online social media are information resources that can have a transformative ... Details »
Venue: MTA Humán Tudományok Kutatóháza, 1097 Budapest, Tóth Kálmán utca 4. Venue The event is hosted by the Center for Economic and Regional Studies of the Hungarian Academy of Sciences, within the new Research Building ... Details »
Venue: MTA HTK 1097 Budapest Tóth Kálmán u. 4. fszt. K0.11-12 Bencsik Panka, Universitiy of Sussex Stress on the sidewalk: The mental health costs of close proximity crime Crime is a substantial, negative externality ... Details »
WHERE DO EAST CENTRAL AND SOUTHERN EUROPEAN MULTINATIONALS INVEST? was presented by Magdolna SASS at the ITEMA 2018 conference. Share this:FacebookLinkedInTwitterGoogle
Presentations by Mária CSANÁDI and Ferenc GYURIS in China: 23 October Beijing: National Development and Reform Commission, Institute of Spatial Planning and Regional Economics ... Details »
Learning to import from your peers by Márta Bisztray, Miklós KOREN and Ádám SZEIDL in Journal of International Economics has been published. Abstract We use ... Details »