Showing 1 - 10 of 8,509
This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...
Persistent link: https://www.econbiz.de/10014024953
Financial analysts typically estimate volatilities and correlations from monthly or higher frequency returns when determining the optimal composition of a portfolio. Although it is widely acknowledged that these measures are not necessarily stationary across samples, most analysts assume...
Persistent link: https://www.econbiz.de/10010353307
Financial analysts assume that the reliability of predictions derived from regression analysis improves with sample size. This is generally true because larger samples tend to produce less noisy results than smaller samples. But this is not always the case. Some observations are more relevant...
Persistent link: https://www.econbiz.de/10012225139
We treat the banking system as a traded credit portfolio and calculate systemic risk capital as the amount of capital that insures the portfolio's value against unexpected losses. Using data from the largest global financial institutions, we find evidence of extreme event dependence between...
Persistent link: https://www.econbiz.de/10011208759
An ICAPM which includes bank credit growth as a state variable explains 94% of the cross-sectional variation in the average returns on the 25 Fama–French portfolios. We find compelling evidence that bank credit growth is priced in the cross-section of expected stock returns, even after...
Persistent link: https://www.econbiz.de/10010730416
This chapter uses the marginal treatment effect (MTE) to unify and organize the econometric literature on the evaluation of social programs. The marginal treatment effect is a choice-theoretic parameter that can be interpreted as a willingness to pay parameter for persons at a margin of...
Persistent link: https://www.econbiz.de/10014024944
Health expenditure data almost always include extreme values. Such heavy tails can be a threat to the commonly adopted least squares methods. To accommodate extreme values, we propose the use of an estimation method that recovers the often ignored right tail of health expenditure distributions....
Persistent link: https://www.econbiz.de/10014322831
conditional bias term which may not vanish at a rate faster than root-N when more than one continuous variable is used for … conditional bias, matching estimators with a fixed number of matches do not reach the semiparametric efficiency bound for average … treatment effects, although the efficiency loss may be small. Third, we propose a bias-correction that removes the conditional …
Persistent link: https://www.econbiz.de/10005832295
almost all these papers ignore the bias in the estimated standard errors that serial correlation introduce4s. This is … serially correlated, which will exacerbate the bias in standard errors. To illustrate the severity of this issue, we randomly …
Persistent link: https://www.econbiz.de/10005089015
can lead to over- as well as under-estimation of the coefficients of interest. Critical for determining the bias is the … error of the optimal prediction error form and show that such methods may in fact introduce bias. Finally, we present some …
Persistent link: https://www.econbiz.de/10005601516