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its asymptotic distribution, and we show how this distribution can be approximated by bootstrap methods. Our analysis …
Persistent link: https://www.econbiz.de/10011418016
bootstrap, allowing the construction of asymptotically valid joint confidence sets for any subset of structural impulse …
Persistent link: https://www.econbiz.de/10011421682
We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions. We investigate the relative performance of VaR and ES models using daily returns for sixteen stock market indices (eight from developed and eight...
Persistent link: https://www.econbiz.de/10003891679
The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct consistent and asymptotically normal estimators. In addition, we...
Persistent link: https://www.econbiz.de/10003824983
Persistent link: https://www.econbiz.de/10003497528
In this paper we consider the problem of interpreting the signs of the estimated coefficients in multivariate time series regressions where the regressors are correlated. Using a continuous time model, we argue that focussing on the signs of individual coefficients in such regressions could be...
Persistent link: https://www.econbiz.de/10010199754
It is common practice to estimate the volatility-growth link by specifying a standard growth equation such that the variance of the error term appears as an explanatory variable in this growth equation. The variance in turn is modelled by a second equation. Hardly any of existing applications of...
Persistent link: https://www.econbiz.de/10010418202
This paper proposes a linear categorical random coefficient model, in which the random coefficients follow parametric categorical distributions. The distributional parameters are identified based on a linear recurrence structure of moments of the random coefficients. A Generalized Method of...
Persistent link: https://www.econbiz.de/10013183733
Assessing the robustness of the results of econometric analysis is a long standing subject of lively research. The majority of the literature focuses on sensitivity to model specification, while the quantification of sensitivity to sets of influential observations has received relatively...
Persistent link: https://www.econbiz.de/10012494906
Applied work often studies the effect of a binary variable (“treatment”) using linear models with additive effects. I study the interpretation of the OLS estimands in such models when treatment effects are heterogeneous. I show that the treatment coefficient is a convex combination of two...
Persistent link: https://www.econbiz.de/10012223869