Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

Abstract

A data base that provides a multivariate statistical history for each of a number of individual entities is called a pooled cross-sectional and time series data base in the econometrics literature. In marketing and survey literature the terms panel data or longitudinal data are often used. In management science a convenient term might be management data base. Such a data base provides a particularly rich environment for statistical analysis. This article reviews methods for estimating multivariate relationships particular to each individual entity and for summarizing these relationships for a number of individuals. Inference to a larger population when the data base is viewed as a sample is also considered.

Key Words:

• Cross-sectional time series data
• Error components
• Random coefficient regression
• Seemingly unrelated regression
• Pooling