Conference Agenda
Overview and details of the sessions of this conference.
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Some information on the session logistics:
If not stated otherwise, the discussant is the following speaker, with the first speaker being the discussant of the last paper. The last speaker of each session is the session chair. (Exception: invited sessions)
Presenters should speak for no more than 20 minutes, and discussants should limit their remarks to no more than 5 minutes. The remaining time should be reserved for audience questions and the presenter’s responses. We suggest following these guidelines also in the (less common) 3-paper sessions in a 2-hour slot, to allow participants to move between sessions. Discussants are encouraged to avoid summarizing the paper. By focusing on a few questions and comments, the discussants can help start a broader discussion with the audience.
Only registered participants can attend this conference. Further information available on the congress website https://www.iseg.ulisboa.pt/en/event/iipf/ .
Venue address: ISEG - Lisbon School of Economics & Management, R. Francesinhas 21, 1200-675 Lisboa, Portugal
Please note that all times are shown in the time zone of the conference. The current conference time is: 17th Sept 2026, 11:37:38am WEST
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Daily Overview |
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B11: Informality and the Shadow Economy: Evidence and Measurement Location: Room 112 (Francesinhas 1) | |
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Institutional Quality and the Shadow Economy: The Role of VAT Revenue Performance across Country Income Groups 1: Johannes Kepler University of Linz, Austria; 2: Estonian Academy of Security Sciences and Estonian Business School This paper examines the determinants of shadow economy size with a focus on institutional quality, using data from 165 countries for 2020-2023. We propose two proxies for institutional quality: novel indicator Value Added Tax revenue performance (VAT revenues as a percentage of GDP), and the Government Services Efficiency index (GSE). By using VAT revenue performance, we extend the existing literature beyond its conventional focus on VAT standard rates. We estimate regression models in which the size of the shadow economy is related to VAT revenues as a share of GDP, the VAT standard rate, trade openness, GDP per capita and GSE. Overall, we found that VAT revenue performance is a valid proxy for institutional quality at the cross-country level. We empirically confirm that both VAT revenue performance and GSE serve as reliable proxies for institutional quality.
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