Taxation and migration by the super-richLink opens in a new window

A. Advani, D. Burgherr, and A. Summers (2022)

Using administrative data on the globally connected super-rich in the UK, we study the effect of a large tax reform on migration behaviour. Prior to 2017, offshore investment returns for ‘non-doms’ – individuals tax resident in the UK but with connections to other countries – were untaxed. Average offshore investment returns for these individuals exceeded £420,000; even without considering other types of income, this puts them in the top 0.2% of the population. A reform in 2017 brought long-stayers and UK-born non-doms into the standard tax system, reducing their effective net of average tax rate by between 8.8% and 13.0%. We find that migration responses were limited: our central estimate of the migration elasticity is 0.02, and across a range of specifications we can rule out elasticities larger than 0.5. Using reforms for the UK-born super-rich who were living abroad, we find that migration elasticities are limited even for recent arrivals, for whom our central estimate is 0.18. Assuming similar elasticities for all non-doms, abolition of the preferential regime would increase tax revenue collected from non-doms by £3.2bn (84%).

Title: Heterogeneous Local Projections: An Application To Firm Investment

Fields: Macro, Econometrics

Supervisors: Giovanni Ricco, Ana Galvao (Wbs)

Title: Predicting Long-term Unemployment Risk - Andreas Mueller (UT Austin) & Johannes Spinnewijn (LSE)

Abstract: This paper uses rich administrative and survey data from Sweden to study the predictability and determinants of long-term unemployment (LTU) over the period 1992-2016. We use standard machine learning techniques to predict job seekers' LTU risk and find substantial predictable heterogeneity. Compared to a model using standard socio-demographic variables, a comprehensive model that uses data on income, employment and benefit histories more than doubles the predictive power. The estimated heterogeneity in LTU risk implies that at least two thirds of the observed duration dependence in job finding is driven by dynamic selection. We apply our prediction algorithm over the business cycle and find significant heterogeneity underlying the cyclicality in average LTU risk, while the role of composition effects is limited. We evaluate the implied value of targeting unemployment policies and how this changes over the business cycle.