Chapter 1: Introduction Next Chapter
Chapter 1: Introduction
In recent years, the social sciences have made tremendous progress in quantitative methodology and data analysis. The classical linear model, while still remaining an important foundation for more advanced methods, has been increasingly complemented by specialized techniques. Major improvements include the widespread use of non-linear models, advances in multilevel modeling and Bayesian estimation, the diffusion of longitudinal analyses and, more recently, the focus on novel methods for causal inference.
The interested reader can chose from a number of excellent textbooks on a wide range of topics: starting from general econometrics books such as Wooldridge (2009, 2010) or Greene (2012), ranging over volumes on regression and Bayesian methods (Gelman et al., 2003; Fox, 2008; Gelman and Hill, 2007), multilevel modeling (Hox, 2010), non-linear models ...