There are some very exciting things and some very worrying things about this proposal. First, to start with the exciting aspects, the use of panel data by students and researchers in their projects is already taking off at rapid speed now that a number of longitudinal panel surveys are available online. I have met countless academics who have told me recently that they commonly direct their students to panel studies such as the BHPS instead of asking them to design and collect survey data of their own. So we should be confident of their being a good market for a practical guide to using panel data in research. Secondly, Essex University is the THE centre for panel survey expertise in Europe and so the fact that these two authors are part of such a highly-respected team will help sales of the book. But, as flagged above, there is a big ‘BUT’ to this proposal, and that is the authors' dogged determination to support this book with Stata software, rather than with, ideally, SPSS or R. Stata is not widely used in the UK in the social sciences and I fear there could be an impact on sales if stata is too prominent. The authors have agreed to include an appendix on R and will have some coverage of how to use SPSS in analysing panel data on a modest website. Other changes to the chapter structure make the book more accessible and practical, and the agreement to include a range of international panel studies in the guide will help overseas sales. But there is no getting around the fact that the stata dimension is far from helpful. As a consequence I have sought to control costs and I would suggest Indian printing and a very modest royalty offer. It is also I think a Mod in it's market potential, but will have a sales pattern more characteristic of a supp. I want a Guide to Panel Data to support the list, and Essex is the ideal department to supply authors for such a text, but this is not quite the ideal book.

Producing Output Tables and Graphs

Aim

The previous chapters discussed various estimation techniques and highlighted the correct way of interpreting the results of the analysis. This chapter concludes this book by discussing how to use Stata to produce output tables for descriptive statistics and regression results and how to visualise the results using graphs.

Introduction

In the previous chapters we have shown how to compute tables of descriptive statistics, how to estimate regression models and how to interpret their results. Often we may want to export the tables of descriptive statistics or the regression results into a spreadsheet or text document to be included in a paper. There are various options to achieve this result. The easiest one is to highlight the set of results ...

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