Cross Sectional Data Econometrics

The analysis might also have no regard to differences in time.

Cross sectional data econometrics. Such an assumption of independently generated data is violated when the economic unit of analysis is large relative to the population. The subjects include firms regions individuals as well as countries. Linear algebra is used to simplify the notation.

Cross sectional data also known as a study population s cross section is a kind of data gathered through the observation of several different subjects in the field of econometrics and statistics. These subjects are observed in the same time period and irrespective of any distinctions in the time. A cross sectional data is analyzed by comparing the differences within the subjects.

All the topics relevant to cross sectional data are included ols fgls dealing with heteroskedasticity or serial correlation iv mle probit logit models etc in a more rigorous way than introduction to econometrics in addition to panel topics. There are three types of data on which the econometric analysis are done. Basically cross sectional is a data which is collected from all the participants at the same time.

Econometric analysis of cross sectional data sets usually assumes that the data is independently generated and that the observations are mutually independent.