Cross-sectional regression
In
time-series regression or longitudinal regression
in which the variables are considered to be associated with a sequence of points in time.
For example, in
money demand (how much people choose to hold in the form of the most liquid assets) could be conducted with either cross-sectional or time series
data. A cross-sectional regression would have as each data point an observation on a particular individual's money holdings, income, and perhaps other variables at a single point in time, and different data points would reflect different individuals at the same point in time. In contrast, a regression using time series would have as each data point an entire economy's money holdings, income, etc. at one point in time, and different data points would be drawn on the same economy but at different points in time.
See also
References
- Andrews, D. W. K. (2005). "Cross-Section Regression with Common Shocks" (PDF). Econometrica. 73 (5): 1551.
- Wooldridge, Jeffrey M. (2009). "Part 1: Regression Analysis with Cross Sectional Data". Introductory econometrics: a modern approach (4th ed.). Cengage Learning. ISBN 978-0-324-66054-8.
External links
- A Review of Cross Sectional Regression for Financial Data Lecture notes by Gary Koop, Department of Economics, University of Strathclyde
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