ECON 3210 Lecture Notes - Lecture 4: Time Series, Econometrics

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A feature of this data set, and other cross-sectional data sets that we use, is that the ordering of the individuals is arbitrary and unimportant it is irrelevant whom we label observation 1, or observation 2, and so on. Nothing would be lost be randomly rearranging the order of the individuals. Some cross-sectional data sets are experimental, where we assign individuals (or units) to treatment and control groups. The above data set is not: we passively collect information on wages and some other variables. (experimental data sets are relatively rare in the social sciences, although several great ones exist. ) Consists of observations on variables observed over a stretch of time. Examples include interest rates, unemployment rates, and crime rates. A key feature of time series data is that the order is (usually) important we need to know, for example, that the outcome on unemployment in 2008 precedes that for 2009.

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