## Analysis of Economic DataAnalysis of Economic Data Analysis of Economic Data teaches methods of data analysis to students whose primary interest is not in econometrics, statistics or mathematics. It shows students how to apply econometric techniques in the context of real–world empirical problems. Key features include: ∗ Adopts a largely non–mathematical approach relying on verbal and graphical intuition ∗ Covers most of the tools and models used in modern econometrics research e.g. correlation, regression and extensions for time–series methods ∗ Contains extensive use of real data examples and involves readers in hands–on computer work ∗ A disk is packaged with the book containing all data sets included in the text Professor Koop has done a wonderful job in explaining sophisticated statistical concepts . to people with no statistical background. Kai Li, University of British Columbia The author has a real knack for getting the ideas across in a straightforward and intuitive manner . Dr Koop possesses immense technical ability along with a down–to–earth willingess to entertain a student′s perspective. Craig Heinicke, Baldwin Wallace College |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Basic data handling | 5 |

Correlation | 23 |

An introduction to simple regression | 37 |

Copyright | |

10 other sections not shown

### Other editions - View all

### Common terms and phrases

ADL model analysis autocorrelation calculate causality ceteris paribus coefficients cointegration common confidence interval countries critical value data set deforestation dependent variable Dickey-Fuller test discussion distributed lag model dummy variables econometrics economic economists equation equilibrium error Exercise explanatory power explanatory variables F-statistic Figure forecasting formula GDP per capita Granger cause histogram house price HPRICE.XLS hypothesis testing implies indicate instance intercept interest rates interpret intuition labeled lag length level of significance long run multiplier macroeconomic marginal effect measure multicollinearity multiple regression nonstationary Note number of bedrooms observations obtain OLS estimates omitted variables bias output P-value percentage change personal income plots population density price inflation real GDP regression line regression model relationship residuals run a regression safety training series data simple regression software packages spreadsheet spurious regression problem stationary stock price Table tend test statistic trend behavior unit root variables e.g. volatility wage inflation XY-plot zero