Skip to content

Research Paper NIMA Working Paper Series 40

Measuring match quality using subjective data


Publication date



We examine whether data routinely collected in household surveys and surveys of workers can be used to construct a measure of underlying match quality between worker and firm which helps test matching models and predict subsequent labour market outcomes of workers. We use subjective data from employees both on reported levels of job satisfaction with various aspects of the current job and on whether they would like a new job with a new employer to construct a measure of underlying match quality. We then use this to test several implications of matching models relating to wage-tenure profiles, wages, separations.


Labour Market and Survey Methodology


Related publications

  1. Measuring match quality using subjective data

    Priscila Ferreira and Mark P. Taylor

    1. Labour Market
    2. Survey Methodology


Research home

Research home


Latest findings, new research

Publications search

Search all research by subject and author


Researchers discuss their findings and what they mean for society


Background and context, methods and data, aims and outputs


Conferences, seminars and workshops

Survey methodology

Specialist research, practice and study

Taking the long view

ISER's annual report


Key research themes and areas of interest