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Analysing Economic Data

Part of the Palgrave Texts in Econometrics Book Series

DOI: 10.1057/9781137401908

ISBN: 978-1-349-48656-4

Publisher: Palgrave Macmillan UK - Springer Journals

Oct 26, 2015

1 - 10 of 18 Chapters

Available

Introduction

Mills, Terence C.

Pages: 1 –4

[The aims, objectives and structure of the book are set out. The level of mathematics required is stated, and it is emphasised that key algebraic proofs are relegated to the end-notes of each chapter, where key references are also to be found. The provision in the accompanying website of both the...
Available

Presenting and Summarising Data

Mills, Terence C.

Pages: 5 –22

[The distinction between cross-sectional and time series data is made, and examples of world income inequality and inflation in the UK are introduced to illustrate this distinction. Summary statistics for location, dispersion and asymmetry are developed, along with a composite pictorial...
Available

Transforming Data

Mills, Terence C.

Pages: 23 –44

[The need to of en transform raw data is discussed and the logarithmic transformation is introduced in some detail. It is emphasised that the slope of a graph of the original data says nothing about the growth rate of the variable, since it is only from the slope of the graph of the logarithms...
Available

Index Numbers

Mills, Terence C.

Pages: 45 –66

[Transforming data into index form is proposed, along with chain-linking an index. More sophisticated index numbers, such as the Laspeyres and Paasche, are developed through an example in which an energy price index is constructed. A short discussion is provided on how the RPI and CPI indices for...
Available

Correlation

Mills, Terence C.

Pages: 67 –82

[Correlation, as a measure of the strength of the relationship between two variables, is introduced by analysing several key economic relationships. After formally defining the correlation coefficient and providing a detailed example of its computation, various pitfalls in using the measure are...
Available

Regression

Mills, Terence C.

Pages: 83 –99

[Regressions are introduced as straight lines fitted through a scatterplot. The calculation of a regression as the ‘line of best fit’, obtained by minimising the sum of squared vertical deviations about the line (the least squares approach), is developed. This provides the least squares formulae...
Available

Basic Concepts of Probability

Mills, Terence C.

Pages: 100 –112

[After discussing some introductory concepts in statistical inference and contrasting these with our previous emphasis on exploratory data analysis, the basic axioms of probability are introduced, along with the additive and multiplication rules for computing probabilities of compound events. To...
Available

Probability Distributions

Mills, Terence C.

Pages: 113 –122

[A new concept, the random variable, is introduced to exploit fully the power of probability. Discrete random variables, those that take only a finite number of values, are focused upon, along with their associated probability distributions, which are essentially a listing of the values the...
Available

Continuous Random Variables and Probability Density Functions

Mills, Terence C.

Pages: 123 –137

[An alternative way of approximating a binomial distribution is considered that leads to a continuous random variable (one that takes on an infinite number of values), known as the normal or Gaussian. Continuous random variables have probability density functions, rather than probability...
Available

Sampling and Sampling Distributions

Mills, Terence C.

Pages: 138 –147

[ The issue of sampling from an underlying population is considered more formally, with the distinction being drawn between deductive and inductive statistical reasoning. To allow the ideas of statistical inference to be analysed, the concept of a simple random sample is introduced, along with...

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