TITLE

Quantitative Economic Analysis

AUTHOR(S)
Wienclaw, Ruth
PUB. DATE
April 2018
SOURCE
Quantitative Economics Analysis -- Research Starters Business;4/1/2018, p1
SOURCE TYPE
Research Starter
DOC. TYPE
Article
ABSTRACT
Economists are interested in interpreting data in order to better understand and predict the behavior of economies and economic variables. To do this, they need to be able to quantitatively analyze data in order to determine the effect of changes on variables of interest, or to weigh the relative merits of econometric models. Quantitative analysis techniques used in economics include many of the tools of inferential statistics as well as various tools for building empirical, testable models. Through the use of quantitative analysis, economists can test and validate their theories and revise them so that they better reflect the realities of real world economies.
ACCESSION #
47669157

 

Related Articles

  • The Research of the Impact of the Factor of Russia's Accession to the WTO Using the Model of Linear Regression. Onokhina, Yelena A. // Izvestia Uralskogo Gosudarstvennogo Ekonomiceskogo Universiteta;2014, Vol. 55 Issue 5, p110 

    The article describes the authors technique for assessing the effect of Russia's accession to the WTO on economic entities. The technique implies comparing real value of an indicator with forecasted value of it as if the country had not joined the WTO, i.e. as if the economic system had been...

  • Evaluating the Statistical Significance of Models Developed by Stepwise Regression. McIntyre, Shelby H.; Montgomery, David B.; Srinivasan, V.; Weitz, Barton A. // Journal of Marketing Research (JMR);Feb1983, Vol. 20 Issue 1, p1 

    Information for evaluating the statistical significance of stepwise regression models developed with a forward selection procedure is presented. Cumulative distributions of the adjusted coefficient of determination (R²) under the null hypothesis of no relationship between the dependent...

  • Spatial Variation of Export Employment Multipliers: A Cross-Section Analysis. Harvey, Andrew S. // Land Economics;Nov73, Vol. 49 Issue 4, p469 

    Due primarily to its simplicity and intuitive appeal, the Economic or Export Base Approach is one of the most frequently used tools for urban and regional economic forecasting and impact analysis. The theoretical foundation of base analysis is rooted in traditional income and international...

  • BMI Forecast Modelling.  // France Infrastructure Report;Q3 2009, p66 

    The article offers information on the forecast modelling utilized by the Business Monitor International Ltd. (BMI). It states that OLS estimators are implemented by BMI to allow the use of objective views. It cites that regression model, which features the use of hypothesis testing to insure...

  • Regressions: Why Are Economists Obsessed with Them? Ramcharan, Rodney // Finance & Development;Mar2006, Vol. 43 Issue 1, p36 

    The article focuses on the use of the regression analysis in economics. The method dates back to the 19th century but the advent of desktop computers have increased its popularity among economic planners. Regressions are used to quantify the relationship between one variable and the other...

  • Robust methods for the analysis of spatially autocorrelated data. Cerioli, Andrea; Riani, Marco // Statistical Methods & Applications;2002, Vol. 11 Issue 3, p335 

    Proposes a robust technique for the analysis of spatial data through simultaneous autoregressive models. Number of useful diagnostics which are monitored along the search to help identify masked spatial outliers and high leverage sites; Introduction to Forward Search, a developed tool for...

  • Graphics for studying logistic regression models. Scrucca, Luca // Statistical Methods & Applications;2002, Vol. 11 Issue 3, p371 

    Focuses on logistic regression models for binary responses. Different methods for studying the log-density ratio through graphs, which allows the selection which predictors are needed; Discussion on data analysis examples based on real datasets available in literature.

  • Forecasting U.S. Inflation by Bayesian Model Averaging. Wright, Jonathan H. // Working Papers -- U.S. Federal Reserve Board's International Fin;2003, p1 

    Recent empirical work has considered the prediction of inflation by combining the information in a large number of time series. One such method that has been found to give consistently good results consists of simple equal weighted averaging of the forecasts over a large number of different...

  • Exploratory Analysis of Marketing Data: Trees vs. Regression. Armstrong, J. Scott; Andress, James G. // Journal of Marketing Research (JMR);Nov70, Vol. 7 Issue 4, p487 

    Two models were developed to predict the average weekly volume for 3,000 gas stations. The model derived from a tree approach was found to be superior to that from a regression approach. The superiority of trees was significant in both a practical and a statistical sense.

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics