In this paper we study the least squares (LS) estimator in a linear panel regression model with interactive fixed effects for asymptotics where both the number of time periods and the number of cross-sectional units go to infinity.
A comparison of hazard rates of duration outcomes before and after policy changes is hampered by non-identification if there is unobserved heteogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that overcomes this by exploiting variation in the moment at which different cohorts are exposed to the policy change, i.e. by considering spells crossing the policy change.
This paper considers nonparametric estimation of absolutely continuous distribution functions of lifetimes of non-identical components in k-out-of-n systems from the observed 'autopsy' data.
Many modern estimation methods in econometrics approximate an objective function, for instance, through simulation or discretisation. These approximations typically affect both bias and variance of the resulting estimator.
In this paper, we use micro-simulation techniques to investigate whether financial work incentives will be stronger in 2015-16 than they were in 2010-11 and to separate out the impact of changes to taxes, benefit cuts and the introduction of universal credit from the impact of wider economic changes.
We disentangle four distinct elements of prospect theory and find loss aversion and probability weighting to be redundant in endogenous specification of the reference level.
This paper presents evidence from Rwanda's Girinka ('One Cow per Poor Family') program that has distributed more than 130,000 livestock asset transfers in the form of cows to the rural poor since 2006.
This paper analyses the career progression of skilled and unskilled workers with a focus on how careers are affected by economic downturns and whether formal skills, acquired early on, can shield workers from the effect of recessions.
The ability to allow for flexible forms of unobserved heterogeneity is an essential ingredient in modern microeconometrics. In this paper the authors extend the application of instrumental variable (IV) models to a wide class of problems in which multiple values of unobservable variables can be associated with particular combinations of observed endogenous and exogenous variables.
This paper considers the class of p-dimensional elliptic distributions (p ≥ 1) satisfying the consistency property (Kano, 1994) and within this general frame work presents a two-stage semiparametric estimator for the Lebesgue density based on Gaussian mixture sieves
This paper introduces average treatment effects conditional on the outcomes variable in an endogenous setup where outcome Y, treatment X and instrument Z are continuous.
This paper studies the identification of nonseparable models with continuous, endogenous regressors, also called treatments, using repeated cross sections.
