"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.
Table of Contents
1 Developments in Socio-Economic Statistics 1
2 From the Facts in Society to Socio-Economic Data 19
3 Structure and Nature of Socio-Economic Data: The Aggregates 35
4 Ratios in the Social Sciences 51
5 Interpreting Longitudinal Data, Part 1 - Looking to the Past 63
6 Longitudinal Analysis, Part 2 - Looking to the Future 87
7 Longitudinal Analysis, Part 3 - Index Numbers 101
8 Cross Sectional Analysis in One Dimension 139
9 Cross Sectional Analysis in More Than One Dimension 165
10 Socio-Economic Statistics and Probability 185
11 The Interface Between Statistics and Accounting 209
12 Socio-Economic Statistics and Geography 219
Afterthoughts 229
A Appendix to Chapter 3 233
B Appendix to Chapter 5 237
C Appendix to Chapter 8 241
D Appendix to Chapter 9 247
E Appendix to Chapter 10 253
Index 261
284 pages, Hardcover