Interpreting Economic and Social Data: A Foundation of Descriptive Statistics

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Springer Science & Business Media, Aug 12, 2009 - Business & Economics - 265 pages

"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.

 

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Contents

to 1 Developments in SocioEconomic Statistics
1
to 2 From the Facts in Society to SocioEconomic Data
19
The Aggregates
35
to 4 Ratios in the Social Sciences
50
to 5 Interpreting Longitudinal Data Part 1 Looking to the Past
63
to 6 Longitudinal Analysis Part 2 Looking to the Future
86
to 7 Longitudinal Analysis Part 3 Index Numbers
101
to 8 Cross Sectional Analysis in One Dimension
138
to 11 The Interface Between Statistics and Accounting
209
to 12 SocioEconomic Statistics and Geography
219
Afterthoughts
229
to A Appendix to Chapter 3
233
to B Appendix to Chapter 5
237
to C Appendix to Chapter 8
241
to D Appendix to Chapter 9
247
to E Appendix to Chapter 10
253

to 9 Cross Sectional Analysis in More Than One Dimension
165
to 10 SocioEconomic Statistics and Probability
185

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