Panel analysis uses panel data to examine changes in variables over time and differences in variables between subjects.įi:Poikkileikkausaineisto This page uses Creative Commons Licensed content from Wikipedia ( view authors). Because you only collect data at a single point in time, cross-sectional studies are relatively cheap and less time-consuming than other types of research. Another variant, panel data (or time-series cross-sectional (TSCS) data), combines both and looks at multiple subjects and how they change over the course of time. In a cross-sectional study you collect data from a population at a specific point in time in a longitudinal study you repeatedly collect data from the same sample over an extended period of time. Analysis of cross-sectional data usually consists of comparing the differences among the subjects.Ĭross-sectional data differs from time series data, which follows one subject's changes over the course of time. Longitudinal studies and cross-sectional studies are two different types of research design. ![]() Cross-sectional data refers to data collected by observing many subjects (such as individuals, firms or countries/regions) at the same point of time, or without regard to differences in time. Cross-sectional data in statistics and econometrics is a type of one-dimensional data set.
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