Society
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Economics
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Formal science
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Mathematical economics
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Fundamentals of economics
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Economic theory
Fields of application of statistics
Mathematical and quantitative methods (economics)
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
Praxeology
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Choice modelling
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Econometric model
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Econometricians
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Economic data
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Economic forecasting
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Economics curves
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Hypothesis testing
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Econometrics journals
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Loss function
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Observational study
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Regression analysis
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Regression with time series structure
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Simultaneous equation methods (econometrics)
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Single-equation methods (econometrics)
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Comparison of statistical packages
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Time series
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
Cross-sectional study
In medical research and social science, a cross-sectional study (also known as a cross-sectional analysis, transversal study, prevalence study) is a type of observational study that involves the analy...
Unevenly spaced time series
In statistics, signal processing, and econometrics, an unevenly (or unequally or irregularly) spaced time series is a sequence of observation time and value pairs (tn, Xn) with strictly increasing ob...
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...
Divisia index
A Divisia index is a theoretical construct to create index number series for continuous-time data on prices and quantities of goods exchanged.It is designed to incorporate quantity and price changes o...
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...
Autoregressive conditional heteroskedasticity
In econometrics, autoregressive conditional heteroskedasticity (ARCH) models are used to characterize and model observed time series. They are used whenever there is reason to believe that, at any p...
Convergence of random variables
In probability theory, there exist several different notions of convergence of random variables. The convergence of sequences of random variables to some limit random variable is an important concept...
Convergence of random variables - Wikipedia