由美国学者A.科林·卡梅伦和普拉温·K.特里维迪共同撰写的《用Stata学微观计量经济学》一书，是一本优秀的介绍微观计量经济学的专著，它同时也介绍了如何使用Stata来进行微观计量经济学研究。本书包括了微观计量经济学教材中省略的许多主题，同时也省略了对Stata基本使用知识的介绍。两位学者对Stata现有的微观计量经济学的方法进行了全面的和最新的总结。

The primary purpose of this book is to prepare students for empirical research in economics. But it also equips those who plan to specialize in econometric theory and those whose empirical interests are in sociology or business. Aimed at first-year graduate students and advanced undergraduates, "A Course in Econometrics" covers the fundamentals - classical regression and simultaneous equations - but also contains clear treatments of symptotic theory and nonlinear regression. The innovative features of the text include: (1) a focus on the conditional expectation function and best linear predictor as interesting characteristics of a population: (2) a thoughtful interpretation of assumptions on the disturbance term in linear regression; (3) a consistent development of estimators as sample analogs of population parameters; (4) a careful discussion of alternative sampling schemes to clarify the distinction between random and idea explanatory variables; (5) a development of asymptotic theory that emphasizes a simple prototypical case; (6) a cautionary treatment of the use and abuse of significance tests; (7) an introduction to simultaneous equation models that focuses on structural parameters as invariant across populations. The text includes instructive exercises and graphs, along with several complete data sets.

计量经济学的方法和实践不断发展，有些过于新奇的方法本来没必要如此复杂，而且还可能是有害的。虽然对计量经济学基本工具的解释日趋精奥深微，但应用计量经济学的核心内容却保持着大体稳定。这本指南性质的教材为经验研究者把握计量经济学的精义提供一个向导，在讨论回归、工具变量和双重差分法等核心内容的基础上，强调估计值的一般性质（比如回归总是可以近似条件均值函数等），以及对估计值赋予因果解释所需的假设（比如条件独立假设、相似世界等），之后再扩展至非连续实验的回归分析及统计推断等问题。尤其是，作者对OLS和IV，从方法论到各种应用，讲解极为详细，把所有目前流行的带试验色彩的估计方法，全部放在回归的框架中分析和讨论，但不涉及试验设计的内容。