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paper, we use Monte Carlo simulations to demonstrate that semi-parametric methods, such as matching, are biased in the …
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It is well known that efficient estimation of average treatment effects can be obtained by the method of inverse propensity score weighting, using the estimated propensity score, even when the true one is known. When the true propensity score is unknown but parametric, it is conjectured from the...
Persistent link: https://www.econbiz.de/10012025779
When estimating treatment effects, the gold standard is to conduct a randomized experiment and then contrast outcomes associated with the treatment group and the control group. However, in many cases, randomized experiments are either conducted with a much smaller scale compared to the size of...
Persistent link: https://www.econbiz.de/10015133929
the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
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The ordinary spectrum is restricted in its applications, since it is based on the second-order moments (auto- and cross-covariances). Alternative approaches to spectrum analysis have been investigated based on other measures of dependence. One such approach was developed for univariate time...
Persistent link: https://www.econbiz.de/10014362561
Using the capital asset pricing model, this article critically assesses the relative importance of computing 'realized' betas from high-frequency returns for Bitcoin and Ethereum-the two major cryptocurrencies-against their classic counterparts using the 1-day and 5-day return-based betas. The...
Persistent link: https://www.econbiz.de/10014425693