Self-reported survey data are often plagued by the presence of heaping. Accounting for this measurement error is crucial for the identification and consistent estimation of the underlying model (parameters) from such data. This paper introduces two Stata commands. The first command, heapmph,...

We provide a solution to the open problem of bandwidth selection for the nonparametric estimation of potentially non-stationary regressions, a setting in which the popular method of cross-validation has not been justified theoretically. Our procedure is based on minimizing moment conditions...

The present note describes a minor extension of Raith's adjusted Knaster method to handle the problem of different entitlements. We prove that a suitable split of the excess ensures the equitability of the resulting division, i.e. the players receive the same relative increment above the...

The intercept in endogenous selection models is of fundamental importance for the evaluationof average treatment effects. While various intercept estimators for additive linear selectionmodels exist, there are currently no estimators for nonlinear selection models. This paper introduces...

In this paper, we investigate the association between international banks' operational losses and macro-financial variables, Governance Indicators and banks' specific covariates. We do so in a panel data setting, which includes both censoring (since losses below a given threshold are not...

In this paper, we investigate the relationship between bank reserves, deposits and loans using a time series approach. The empirical results show that free reserves cointegrate with both deposits and loans and the causal nexus runs from deposits (in the short run) to reserves and from deposits...

This paper proposes tests for pairwise and multiple out-of-sample comparisons of parametric conditional quantile models. The tests rank the distance between actual and nominal conditional coverage w.r.t. the \textit{union} of information sets across models, for a given loss function. Our...