Bayesian Analysis of the Censored Regression Model with an AEPD Error Term |
| |
Authors: | Cheng Gao Hiroki Tsurumi |
| |
Institution: | 1. Department of Economics, Rutgers University, New Brunswick, New Jersey, USAgaoch@rutgers.edu;3. Department of Economics, Rutgers University, New Brunswick, New Jersey, USA |
| |
Abstract: | We present the censored regression model with the error term following the asymmetric exponential power distribution. We propose three Markov chain Monte Carlo (MCMC) algorithms: the first one uses the probability integral transformation; the second one uses a combination of the probability integral transformation and random walk draws; while the third one uses random walk draws. Using simulated data we compare the performance of the three MCMC algorithms. Then we compare the posterior means, or Bayes estimates, with maximum likelihood estimates. We estimate the stock option portion of executive compensation as an example of the empirical application. |
| |
Keywords: | Asymmetric exponential power distribution Distribution of skewness Left and right kurtosis measures Markov chain Monte Carlo algorithms Probability integral transformation |
|
|