12
Nov
2021
Income source confusion using the SILC
with Iva Tasseva (London School of Economics)
Webinar
Live online event
02:00 pm
03:00 pm

The Luxembourg Institute of Socio-Economic Research (LISER), the National University of Ireland Galway (NUIG) and the International Microsimulation Association (IMA) would like to invite you to the joint LISER-NUIG-IMA Microsimulation and Inequality Global Webinar Series that takes place on the 2nd Thursday of every month at 14:00 Luxembourg time (08:00 Washington, 22:00 Sydney).

This seminar aims to bring together the latest research using microsimulation techniques or addressing social inequalities. It provides a forum for networking, for discussing current research and for getting feedback from peers in the field in a friendly and supportive environment. It is targeted both at academics and public policy analysists.

Income source confusion using the SILC
Presenter: Iva Tasseva (London School of Economics)

Abstract

IMPORTANT! As November 11 is a public holiday, the seminar will exceptionnally be held on Friday, Nov 12 (same time)

Income source confusion using the SILC
Presenter: Iva Tasseva (Department of Social Policy, London School of Economics)
Joint work with Christopher Bollinger from University of Kentucky.

We use a unique panel of household survey data – the Austrian version of the European Union Statistics on Income and Living Conditions (SILC) for 2008-2011 – which have been linked to individual records on both state unemployment benefits and earnings. We assess the extent and structure of misreporting across similar benefits and between benefits and earnings. We document that many respondents fail to report participation in one or more of the unemployment programmes. Moreover, they inflate earnings for periods when they are unemployed but receiving unemployment compensation. To demonstrate the impact of income source confusion on estimators we estimate standard Mincer wage equations. Since unemployment is associated with lower education, the reports of unemployment benefits as earnings bias downward the returns to education. Failure to report unemployment benefits can also lead to substantial sample bias when selecting on these benefits, as one might in estimating the returns to job training.

Practical information

The seminar will be held on MS Teams. To get access to the seminar, please make sure to register! The link will be sent to your email address after you confirm your registration.


Practical information
The seminar will be held on MS Teams. To get access to the seminar, please make sure to register! The link will be sent to your email address after you confirm your registration.

For further information, please contact the seminar co-organizers:



Dr. Denisa M. Sologon
Senior Research Economist, LISER
denisa.sologon@liser.lu



Prof. Cathal O’Donoghue,
NUIG
cathal.odonoghue@liser.lu