In recent years, there has been a growing interest among researchers in the use of latent class and growth mixture modeling techniques for applications in the social and psychological sciences, in part due to advances in and availability of computer software designed for this purpose (e.g., Mplus and SAS Proc Traj). Latent growth modeling approaches, such as latent class growth analysis (LCGA) ...

In this paper I estimate empirical growth models simultaneously considering endogenous regressors and model uncertainty. In order to apply Bayesian methods such as Bayesian Model Averaging (BMA) to dynamic panel data models with predetermined or endogenous variables and fixed effects, I propose a likelihood function for such models. The resulting maximum likelihood estimator can be interpreted ...

Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance and growth) assuming measurement invariance between latent classes. Considering that the assumption of measurement invariance does not always hol...

Southeast Asian Nations (ASEAN) observed rapid economic growth in the last few decades. This study aims to investigate whether integration and information communication technology (ICT) promotes ASEAN. It further examines role of ICT for relationship with respect readiness usage. The undertook panel data over 21 years (1997 – 2017) employed Generalized Method Moments approach estimation results...

The empirical saddlepoint distribution provides an approximation to the sampling distributions for the GMM parameter estimates and the statistics that test the overidentifying restrictions. The empirical saddlepoint distribution permits asymmetry, non-normal tails, and multiple modes. If identification assumptions are satisfied as the sample size grows the empirical saddlepoint distributions co...

Most developing countries in this study are middle to low-income that have a relatively low economic complexity. This aims analyze the effect of complexity on growth 86 2010-2019. The method used is Generalized Method Moments (GMM) capture dynamic panel analysis. estimation results using System GMM show has positive countries. Increasing encourages structural transformation through high value-a...