econometrics

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Econometrics

The quantitative science of modelling the economy. Econometric models help explain and predict variables of interest.

Econometrics

The use of mathematics to assess economic data. There are two broad subdivisions in econometrics. Theoretical econometrics uses statistics to find strengths or weaknesses of an economic model considered on its own terms. Applied econometrics, on the other hand, considers how well a model conforms to real life data. For example, one may look at average wages for those with different levels of education to determine whether or not higher education is cost effective.

econometrics

the application of statistical techniques in the analysis of economic data. Econometrics is used extensively in establishing statistical relationships between, for example, levels of national income and consumption in the economy, as a basis for formulating government ECONOMIC POLICY, and is used by firms to forecast demand for their products. See SALES FORECASTING, REGRESSION ANALYSIS.

econometrics

the discipline within economics that attempts to measure and estimate statistically the relationship between two or more economic variables. For example, economic theory suggests that consumption expenditure is a function of disposable income (C = f (Y)) or, more precisely, that consumption expenditure is linked to disposable income through the equation C = a + b.Y. For each level of disposable income, consumption can be measured and a statistical relationship established between the two variables by making numerical estimates of the parameters, a and b in the equation. Because consumption is dependent upon income, it is termed the DEPENDENT VARIABLE, whilst disposable income is termed the INDEPENDENT VARIABLE. Econometric models can have many hundreds of measured variables, linked by several hundred estimated equations, not just one, as is the case when models are constructed for macroeconomic FORECASTING purposes. See REGRESSION ANALYSIS.
References in periodicals archive ?
D student, has taken the Bergstrom methodology on continuous time econometrics into the field of interest rate modeling and financial econometrics.
Both books are designed as graduate textbooks for the emerging field of financial econometrics.
Diebold works in financial econometrics, forecasting, and empirical macroeconomics.
It is a demanding book because, as the authors themselves declare, "rewards of financial econometrics come at a price.
The announcement was made in conjunction with a research presentation by NYU Stern Professor Viral Acharya at the Global Systemic Risk Conference, hosted by the Federal Reserve Bank of New York, the Society for Financial Econometrics, and the NYU Stern Volatility Institute.
His recently coauthored books published by Wiley in mathematical finance and financial econometrics include Fat-Tailed and Skewed Asset Return Distributions: Implications for Risk Management, Portfolio selection, and Option Pricing (2005), Operational Risk: A Guide to Basel II Capital Requirements, Models, and Analysis (2007), Financial Econometrics: From Basics to Advanced Modeling Techniques (2007), and Bayesian Methods in Finance (2008).
The Vlab currently produces 300 analyses each day over numerous financial series using both classic models as well as some of the latest advances proposed in the financial econometrics literature.

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