Panel data analysis—advantages and challenges

Panel Data Analysis — Advantages and Challenges

We explain the proliferation of panel data studies in terms of (i) data availability, (ii) the more heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow, and (iii) challenging methodology. Advantages and issues of panel data modeling are also discussed.

Comments on: Panel Data Analysis—Advantages and Challenges

This paper provides an impressive, yet compact and easily accessible review of the econometric literature on panel data analysis. Professor Cheng Hsiao has succeeded in surveying, in a coherent manner, classic results as well as more challenging recent developments on nonlinear models, crosssectional dependence, and long time-series panels. The coverage of topics in the article reflects the bre...

Industrial Panel on Data Warehousing Technologies: Experiences, Challenges, and Directions

Data warehousing is an essential element of decision support systems, which have become the largest growing segment of the database industry. Many products and services are now available, and all of the leading database vendors now have commercial offerings in these technologies. Very large (multiterabyte) data warehouses are being built and successfully deployed in the telecommunications, fina...

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...

Panel: Pattern management challenges