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Generalized Method of Moments (GMM) is a statistical method that combines observed economic data with the information in population moment conditions to produce estimates of the unknown parameters of the economic model.

GMM fits both single and multiple equation models. It uses the maximum likelihood estimation (MLE) procedure. GMM works with cross-sectional, time-series and panel data.

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Stochastic Frontier Analysis (SFA) is the most frequently used parametric approach for efficiency estimation. SFA fits stochastic production (technical efficiency) or cost frontier (profit efficiency) models. SFA provides efficiency estimates/ efficiency scores of individual producers. Frontier fits models in which the inefficiency component is assumed to be from a half-normal, exponential or truncated-normal distribution.
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Frequency tables are a good way to present data related to a variable, as it indicates for each given variable, all the values of that variable, the number of times each value/category appears & the proportion represented by the data corresponding to a category of a variable over total number of observations.