This paper proposes two innovative algorithms to estimate a general class of N-state Markov-switching autoregressive moving-average (MS-ARMA) models with a sample of size T. To resolve the problem of NT possible routes induced by the presence of MA parameters, the first algorithm is built on...

In contrast to the results in Mayer and Riphahn (2000) where no distinction is made between the causes of economic as well as political immigrants, this paper shows that compared to native Taiwanese, the parental refugee experience results in a lower completed fertility of the children’s...

This paper considers the instrumental variables (IV) estimation of the autoregressive distributed lag (ADL) model consisting of fractionally integrated regressors and disturbance term, while allowing for part of the regressors to be endogenous. The idea of Liviatan (1963) and that of Tsay (2007)...

This paper proposes a new class of GMM estimators to increase the effciency of the coeffcient estimate relative to the ordinary least squares (OLS) estimator when all the error term and regressors having nonparametric autocorrelation. This class of GMM estimators are built on the moments...

This paper extends the MD (multiple differenced) methodology of Tsay (2006) to estimate a class of time-series-cross-section (TSCS) models consisting of stationary or nonstationary long memory regressors and errors, while allowing for correlations and heteroskedasticities in both cross-section...

This paper considers the maximum likelihood estimation of a class of stationary and invertible vector autoregressive fractionally integrated moving-average (VARFIMA) processes considered in Luceno (1996). The coverage of this class of VARFIMA processes is quite general and includes the model...

A simple approximation for the bivariate normal cumulative distribution function (BNCDF) based on the error function is derived. The worst error of our method is found to four decimal places under various configurations considered in this paper's Table 1. This finding is much better than that in...

This paper takes issues with the appropriateness of applying the stochastic frontier analysis (SFA) technique to account for environmental effects and statistical noise in the popular three-stage data envelopment analysis (DEA). A correctly specified SFA model with a censored dependent variable...

It is found in Lee (2000) and Rabe-Hesketh et al. (2005) that the typical numerical-integral procedure suggested by Butler and Moffitt (1982) for the random effects probit model becomes biased when the correlation coefficient within each unit is relatively large. This could possibly explain why...

This paper derives an analytic approximation formula for the likelihood function of the true random effects stochastic frontier model of Greene (2005) with a time span T = 2. Gaussian quadrature procedure and simulation-based method is not re- quired for the closed-form approach. Combining the...