Dr Arun Advani

In this paper we study the contribution of migrants to the rise in UK top incomes. Using administrative data on the universe of UK taxpayers we show migrants are over-represented at the top of the income distribution, with migrants twice as prevalent in the top 0.1% as anywhere in the bottom 97%.

We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness.

Currently there is little practical advice on which treatment effect estimator to use when trying to adjust for observable differences. A recent suggestion is to compare the performance of estimators in simulations that somehow mimic the empirical context. Two ways to run such ‘empirical Monte Carlo studies’ (EMCS) have been proposed.

In many contexts we may be interested in understanding whether direct connections between agents, such as declared friendships in a classroom or family links in a rural village, affect their outcomes. In this paper, we review the literature studying econometric methods for the analysis of linear models of social effects.

Understanding whether and how connections between agents (networks) such as declared friendships in classrooms, transactions between firms, and extended family connections, influence their socio-economic outcomes has been a growing area of research within economics.

Understanding tax non-compliance and the effectiveness of strategies to tackle it is crucial for a modern tax authority. In this paper we study how and why audits impact reported tax in the years after audit - the dynamic effect - for individual income taxpayers.

This briefing note summarises new research on which types of people under-report the taxes they owe, and what effects audits have on government revenue.

We consider reforms that raise carbon prices faced by households and reduce the variation in carbon prices across gas and electricity use, improving the efficiency of emissions reduction.

This paper proposes a theoretical model to understand what social structures arise in heterogeneous populations.

This paper reviews the literature studying econometric methods for the analysis of social networks. It begins by discussing identification of models of social effects using observational and experimental data, before outlining models of network formation. Finally, it discusses how one might collect data on networks, and the measurement error issues caused by sampling of networks, as well as measurement error more broadly.

In this paper we evaluate the premise from the recent literature on Monte Carlo studies that an empirically motivated simulation exercise is informative about the actual ranking of various estimators when applied to a particular problem.