Demography is the study of population structure and change. As modern society becomes ever more complex, it becomes increasingly important to be able to measure accurately all aspects of change in the population, and estimate what its future size and composition might be. This book describes and explains the methods demographers use to analyze population data.
Looking at mortality and fertility, population dynamics and population projections, nuptiality and migration, Andrew Hinde demonstrates that most demographic methods are applications of certain fundamental principles. The book covers material taught in introductory courses in population analysis, while also including more advanced topics such as parity progression ratios, survival analysis, and birth interval analysis. Most chapters are followed by a range of exercises, and a comprehensive set of solutions to these exercises is provided at the end of the book. Accompanying Quattro@ and Microsoft@ Excel spreadsheet files with data for all the numerical exercises, plus some additional files of data from recent censuses and surveys, are provided on the World Wide Web; instructions for obtaining these files are included in the book.
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Do not recommend buying this book. Very superficial and badly written. Often times merely presents formulas and does not deal with the underlying demographic processes. Almost every empirical example is focused on the UK.
Even more irritating are some primary mistakes, such as the messy and often misleading presentation of the difference between rates and probabilities (e.g., the convoluted section 2.4). To call q(x) as q-type rates? Sad.