Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data

Dynamic Panel Data Analysis Of European Tourism Demand In Malaysia

Panel: Biologically Inspired Software

In October, 2001, IBM released a manifesto [1] that defined autonomic computing, a new approach to coping with the rapidly growing complexity of integrating, configuring and operating computing systems. This article elaborates further on IBM’s vision of autonomic computing. We speculate about general architectural features that might typify autonomic, or self-managing, systems of the future, an...

Nonlinear Panel Data Analysis

Nonlinear panel data models naturally arise in economic applications, yet their analysis is challenging. Here we provide a progress report on some recent advances in the area. We start by reviewing the properties of random-effects maximum likelihood. We emphasize a link with Bayesian computation and Markov Chain Monte Carlo, which provides a convenient approach to estimation and inference. Rela...

Financial Development and Economic Growth: Panel Data and Trilateral Analysis

A large body of literatures links financial development to economic growth, yet the channels through which inflation and economic development affect this relationship have been less thoroughly explored. This research takes econometric and trilateral graphic approaches to examine these channels using 99 developing and developed countries during the years 1960-2009. Findings prove that respecti...

Econometric Analysis Using Panel Data

Introduction Different types of data are generally available for empirical analysis, namely, time series, cross section, and panel. A data set containing observations on a single phenomenon observed over multiple time periods is called time series (e.g., GDP for several quarters or years). In time series data, both the values and the ordering of the data points have meaning. In cross-section da...