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Testing for overconfidence statistically: A moment inequality approach (repli...
We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other... -
Direct and indirect effects of continuous treatments based on generalized pro...
This paper proposes semi- and nonparametric methods for disentangling the total causal effect of a continuous treatment on an outcome variable into its natural direct effect and... -
Endogeneity and non‐response bias in treatment evaluation – nonparametric ide...
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, based on two... -
Estimation of average treatment effects using panel data when treatment effec...
This paper proposes a new panel data approach to identify and estimate the time-varying average treatment effect (ATE). The approach allows for treatment effect heterogeneity... -
Mixed causal–noncausal autoregressions with exogenous regressors (replication...
Mixed causal-noncausal autoregressive (MAR) models have been proposed to model time series exhibiting nonlinear dynamics. Possible exogenous regressors are typically substituted... -
Multivariate dynamic intensity peaks‐over‐threshold models (replication data)
We propose a multivariate dynamic intensity peaks-over-threshold model to capture extremes in multivariate return processes. The random occurrence of extremes is modeled by a... -
Interval censored regression with fixed effects (replication data)
This paper considers identification and estimation of a fixed-effects model with an interval-censored dependent variable. In each time period, the researcher observes the...
