The authors propose new concepts of statistical depth, multivariate quantiles, vector quantiles and ranks, ranks, and signs, based on canonical transportation maps between a distribution of interest on Rd and a reference distribution on the d-dimensional unit ball.
The labour market by itself can create cyclical outcomes, even in the absence of exogenous shocks. The authors propose a theory that shows that the search behaviour of the employed has profound aggregate implications for the unemployed.
The authors work with a finite data set where each observation consists of a bundle of contingent consumption chosen by an agent from a constraint set of such bundles. They develop a general procedure for testing the consistency of this data set with a broad class of models of choice under risk and under uncertainty.
The authors develop a new quantile-based panel data framework to study the nature of income persistence and the transmission of income shocks to consumption.
The authors develop a new quantile-based panel data framework to study the nature of income persistence and the transmission of income shocks to consumption.
This paper develops a tax micro-simulator model (MEXTAX) that can quantify the revenue and distributional impact of tax reforms in Mexico using micro-level data. The paper uses MEXTAX to assess revenue-raising reforms to Mexico’s direct and indirect tax systems of 2010.
The authors present new results on the identifiability of a class of nonseparable nonparametric simultaneous equations models introduced by Matzkin (2008).
Empirical models of demand for - and, often, supply of – differentiated products are widely used in practice, typically employing parametric functional forms and distributions of consumer heterogeneity. Here, the authors review some recent work studying identification in a broad class of such models.
This paper proposes a data-driven way of averaging the estimators over the candidate specifications in order to resolve the issue of specification uncertainty in the propensity score weighting estimation of the average treatment effects for treated (ATT).
This paper analyses the impact of centrally regulated pay on the quality of applicants to be police officers in England and Wales using a unique dataset of individual test scores from the national assessment that is required of all applicants.
This paper highlights the nonlinearities in revealed preference restrictions and the nonconvexities in the set of predictions that arise when making multiple predictions. The author develops a mixed integer programming characterisation of the problem that can be used to impose rationality on multiple predictions. The approach is applied to the UK Family Expenditure Survey to recover jointly rational nonparametric estimates of income expansion paths.
