activity
20162026
most citedLeft-Truncated Health Insurance Claims Data: Theoretical Review and Empirical Application

3 citations · 9 across the 8 of their papers we have counts for

collaborators

10 papers

econ.EM2026

Cosine metric as a structural economic similarity measure

Marina Telezhkina, Dominik Wied

Structural similarity, the extent to which economic mechanisms respond alike to common shocks, matters for economic forecasting, policy transfer, and other decisions that rely on e…

econ.EM2022★ 2 cited

Semiparametric Distribution Regression with Instruments and Monotonicity

Dominik Wied

This paper proposes IV-based estimators for the semiparametric distribution regression model in the presence of an endogenous regressor, which are based on an extension of IV probi…

econ.EM2022★ 2 cited

Asymptotic Properties of Endogeneity Corrections Using Nonlinear Transformations

Jörg Breitung, Alexander Mayer, Dominik Wied

This paper considers a linear regression model with an endogenous regressor which arises from a nonlinear transformation of a latent variable. It is shown that the corresponding co…

stat.ME2022

Consistent Estimation of Multiple Breakpoints in Dependence Measures

Marvin Borsch, Alexander Mayer, Dominik Wied

This paper proposes different methods to consistently detect multiple breaks in copula-based dependence measures, mainly focusing on Spearman's . The leading model is a factor c…

q-fin.ST2021★ 2 cited

Reference Class Selection in Similarity-Based Forecasting of Sales Growth

Etienne Theising, Dominik Wied, Daniel Ziggel

This paper proposes a general method to handle forecasts exposed to behavioural bias by finding appropriate outside views, in our case corporate sales forecasts of analysts. The id…

econ.EM2021

Estimation and Inference in Factor Copula Models with Exogenous Covariates

Alexander Mayer, Dominik Wied

A factor copula model is proposed in which factors are either simulable or estimable from exogenous information. Point estimation and inference are based on a simulated methods of…