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Econometrics literally means 'economic measurement'. These are the combination of mathematical economics, savings comparisons, economic statistics & economic theory.

Them independent purposes of econometrics come to give empirical content to economic theory and as well to through empirical observation verify economic theory. For instance, econometrics may by trial and error verify in case indeed the given demand curve slopes downward when economic theory would indicate. Empirical content is as well given in this the numerical value would exist as given to this slope, when economic theory alone is unremarkably damp in actual specific values.

Arguably a first convienence of econometrics is regression analysis (for an overview of a linear implementation of this framework, understand linear regression).

Econometric analysis could typically exist as divided into time-series analysis and cross-sectional analysis. Period-series analysis examines variables all over period, like a outcome of rate of interest in national expenditure. Cross-cross-section analysis studies relationship between different variables at the point eventually. For example, a relationship between income, vicinity, & household expenditure. Whilst period-series analysis & cross-cross-section analysis come conducted at the equivalent time on the same sample, it is known as panel analysis. In case a sample is different both period, these are known as pooled cross segment information. Multi-dimensional panel informatiin analysis is conducted on information sets that own extra than 2 dimensions. E.g., occasionally forecast information sets provide prognosis for multiple target periods, conducted by multiple soothsayer, & manufactured at multiple horizons. A threesome dimensions provide supplementary information than may be gleaned from either ii miscreate panel data sets.

The elementary case of the relationship around econometrics is:

This statement asserts that the total a human lives is depending on his or even her income and his or her willingness to spend money. Whenever i potty watch home expenditure & income, techniques like regression analysis can then exist as applied to buy a value of the coefficients, on text just the propensity to spend. A forecasted coefficient could so become likened through samples (like different countries or even tax bracket) & conclusions manufactured.

A above case can as well become utilized to illustrate a numbers of difficulties facing a applied econometrist. E.g., clean you really understand that a above relationship is right? Mayhap verity relationship between personalized expenditure & income is non-linear (that is, curving). Potentially whenever i underst& the correct theory, these are non certain i could measure individual expenditure and income aright. E.g., a value of function by homemakers is not recorded although it contributes to income. There are too the kind of technical indicator pitfalls that possibly lead to wrong conclusions. Econometrics has dealt extensively by owning such issues. Typically it turns bent become hard to fully implement a ensuant methods within practice.

Sequentially to classify business & industry, econometrist rely in 2 independent systems: SIC codes and sir thomas more recently NAICS codes.

People

"Nobel" Prize for Economic Sciences recipients in the field of econometrics:

Jan Tinbergen and Ragnar Frisch were awarded in 1969 (the 1st Nobel Price for Economic Sciences) for getting developed & applied dynamic system for the analysis of economic processes Lawrence Klein, Professor of Economic science at a University of Pennsylvania, was awarded in 1980 for his computer modeling work in the field. Trygve Haavelmo was awarded in 1989. His independent contribution to econometrics was his 1944 article (published inside Econometrica) "The Probability Approach to Econometrics". Daniel McFadden and James Heckman shared the award around 2000 for their work around microeconometrics. McFadden founded a econometrics science lab at a University of California, Berkeley. Robert Engle and Clive Granger were awarded in 2003 for work in analysing economic instance series. Engle pioneered a method of autoregressive conditional heteroskedasticity (ARCH) and Farmer a method of cointegration. A [http://www.feweb.vu.nl/econometriclinks/authors Econometric Author Links of the Econometrics Journal] will bring private links to recent articles & working papers of econometric authors via a [http://repec.org RePEc] patterns in [http://econpapers.repec.org EconPapers]

Econometric Resources on the Net
Designed to assist econometrics students and practicing econometricians, by John Kane.

An Introduction to Classical Econometric Theory
Supporting Paul Ruud's textbook. Provides excerpts from the book, data sets, MATLAB code, exercise solutions, and answers to frequent questions.

Econometrics Laboratory- UC Berkeley
Home of TSP software and 2000 Nobel Prize Winner Daniel McFadden

EDIRC - ectrix: Econometric institutes, departments and associations
Contact information: Address and URL.

Econometric Links of the Econometrics Journal
A comprehensive and well-maintained link page all about econometrics.

Group Method of Data Handling
Description of the inductive Group Method of Data Handling (GMDH). Self-organization approach applied in forecasting and systems modelling, optimization, pattern recognition and clusterization by neural networks (ANN), data mining and knowledge discovery.

Econometrics Linear Regression Model
Online computation tool to evaluate structural parameters, variance, coefficient correlation, analysis of rest, and verification statistics.

Engle, Robert
Personal page of Nobel awarded professor. Provides personal information and working papers.

Discussion Papers in Statistics and Econometrics
From the University of Koeln in Germany. A list of publications. Those available on line are in PDF or PostScript format.






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