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The second edition of this book contains several new recipes illustrating how do-files, ado-files, and Mata functions can be used to solve programming problems. Several recipes have also been updated to reflect new features in Stata added between versions 10 and 14. The discussion of maximum-likelihood function evaluators has been significantly expanded in this edition. The new topics covered in this edition include factor variables and operatores; use of margins, marginsplot, and suest; Mata-based likelihood function evaluators; and associative arrays. (Preface)

AbstractUsing the spectral regression method, we test for long‐term stochastic memory in three‐ and six‐month daily returns series of Eurocurrency deposits denominated in major currencies. Significant evidence of positive long‐term dependence is found in several Eurocurrency returns series. Compared with benchmark linear models, the estimated fractional models result in dramatic out‐of‐sample forecasting improvements over longer horizons for the Eurocurrency deposits denominated in German marks, Swiss francs, and Japanese yen.

This paper empirically examines the role of diversification in export markets on firm‐level R&D activities taking account of the potential endogeneity in this relationship. We show that geographical sales diversification across different regions of the world induces UK firms to increase their R&D expenditures, as firms must innovate and develop new products to maintain a competitive edge over their rivals. This finding is robust to a battery of sensitivity checks. Furthermore, we find that R&D expenditures cause higher export sales but do not cause export sales diversification. Hence, the result that diversification causes higher R&D activity is not driven by reverse causality.