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A popular approach to perform inference on a target parameter in the presence of nuisance parameters is to construct estimating equations that are orthogonal to the nuisance parameters, in the sense that their expected first derivative is zero. Su...
Private pensions constitute the largest component of household wealth in the UK, and the vast majority of employees are automatically enrolled into workplace pension plans. Drawing on employer-reported pension data matched with the population cens...
Given data on a scalar random variable , a prediction set for with miscoverage level is a set of values for that contains a randomly drawn with probability 1 − , where ∈ (0, 1). Among all prediction sets that satisfy this coverage property, t...
Why do workers delay retirement when their early retirement age (ERA) rises? Understanding this is essential for predicting the effects of ERA increases in different contexts and assessing distributional impacts of such reforms. We study ten years...
In UK data, I document the prevalence of misbeliefs regarding the State Pension eligibility age (SPA) and these misbeliefs predictivity of retirement. Exploiting policy variation, I estimate a lifecycle model of retirement in which rationally inat...
This paper studies tax evasion and the contribution-benefit link in the context of maternity benefits in Hungary. Earnings and employment patterns suggest pre-pregnancy underreporting, followed by formalization of some earnings and employment duri...
We estimate the impact of firm quality – primarily measured by firm productivity – on the health maintenance of employees. Using linked employer-employee administrative panel data from Hungary, we analyze the dynamics of healthcare use before and ...
We introduce a novel framework for individual-level welfare analysis. It builds on a parametric model for continuous demand with a quasilinear utility function, allowing for heterogeneous coefficients and unobserved individual-good-level preferenc...
Many economic panel and dynamic models, such as rational behavior and Euler equations, imply that the parameters of interest are identified by conditional moment restrictions. We introduce a novel inference method without any prior information abo...
This paper develops a novel method for policy choice in a dynamic setting where the available data is a multi-variate time series. Building on the statistical treatment choice framework, we propose Time-series Empirical Welfare Maximization (T-EWM...