Econometrics Econometrics is the application of mathematics, statistical methods, and computer science, to economic data and is described as the branch of economics that aims to give empirical content to economic... Econometrics - Wikipedia
 Survivorship bias
 Econometrics - Wikipedia
 Praxeology Praxeology (Gr. πρᾶξις (praxis) ″action″, λόγος (logos) ″talk, speech″) is the deductive study of human action based on the notion that humans engage in purposeful behavior, as opposed to reflexive be...
 Choice modelling Choice modeling attempts to model the decision process of an individual or segment in a particular context. Choice modeling may be used to estimate non-market environmental benefits and costs.Many alt...
 Econometric model Econometric models are statistical models used in econometrics. An econometric model specifies the statistical relationship that is believed to hold between the various economic quantities pertaining ...
 Econometricians
 Economic data Economic data or economic statistics may refer to data (quantitative measures) describing an actual economy, past or present. These are typically found in time-series form, that is, covering more than...
 Economic forecasting Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal defi...
 Economics curves Economics curves - Wikipedia
 Hypothesis testing A statistical hypothesis is a scientific hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables. A statistical hypothesis test is a method of st...
 Econometrics journals
 Loss function In mathematical optimization, statistics, decision theory and machine learning, a loss function or cost function is a function that maps an event or values of one or more variables onto a real number ...
 Observational study In epidemiology and statistics, an observational study draws inferences about the possible effect of a treatment on subjects, where the assignment of subjects into a treated group versus a control gro...
 Regression analysis In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus i...
 Regression with time series structure
 Simultaneous equation methods (econometrics) Simultaneous equation models are a form of statistical model in the form of a set of linear simultaneous equations. They are often used in econometrics.Suppose there are m regression equations of...
 Single-equation methods (econometrics) A variety of methods are used in econometrics to estimate models consisting of a single equation. The oldest and still the most commonly used is the ordinary least squares method used to estimate line...
 Comparison of statistical packages The following tables compare general and technical information for a number of statistical analysis packages.This section contains basic information about each product (developer, license, user i... Comparison of statistical packages - Wikipedia
 Time series A time series is a sequence of data points, typically consisting of successive measurements made over a time interval. Examples of time series are ocean tides, counts of sunspots, and the daily closin... Time series - Wikipedia
 Survivorship bias
 Cohort study A cohort study is a form of longitudinal study (a type of observational study) used in medicine, social science, actuarial science, business analytics, and ecology. For instance in medicine, it is an ...
 Preference-rank translation Preference-rank translation is a mathematical technique used by marketers to convert stated preferences into purchase probabilities, that is, into an estimate of actual buying behaviour. It takes su...
 Experimetrics Experimetrics refers to the application of econometrics to economics experiments. Experimetrics refers to formal procedures used in designed investigations of economic hypotheses.One branch of experi...
 Delta method In statistics, the delta method is a result concerning the approximate probability distribution for a function of an asymptotically normal statistical estimator from knowledge of the limiting variance...
 General matrix notation of a VAR(p) This page shows the details for different matrix notations of a vector autoregression process with k variables.Where each is a vector of length k and each is a k × k matrix. General matrix notation of a VAR(p) - Wikipedia
 National Longitudinal Surveys The National Longitudinal Surveys (NLS) are a set of surveys conducted by the US Department of Labor's Bureau of Labor Statistics, designed to gather information at multiple points in time on signific...
 Atkinson index The Atkinson index (also known as the Atkinson measure or Atkinson inequality measure) is a measure of income inequality developed by British economist Anthony Barnes Atkinson. The measure is useful i...
 Endogeneity (applied statistics) In a statistical model, a parameter or variable is said to be endogenous when there is a correlation between the parameter or variable and the error term. Endogeneity can arise as a result of measure...
 Discrepancy function A discrepancy function is a mathematical function which describes how closely a structural model conforms to observed data. Larger values of the discrepancy function indicate a poor fit of the model t...
 Ridit scoring In econometrics, ridit scoring is a statistical method used to analyze ordered qualitative measurements.The tools of ridit analysis were developed and first applied by Bross, who coined the term "ridi...