Learning Microeconometrics with R
Learning Microeconometrics with R This book provides an introduction to the field of microeconometrics through the use of R. It uses R to both teach the concepts of the field and show the reader how…
Specifikacia Learning Microeconometrics with R
Learning Microeconometrics with R
This book provides an introduction to the field of microeconometrics through the use of R. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. The focus is on applying current learning from the field to real world problems.
It covers the standard tools of microeconometrics, OLS, instrumental variables, Heckman selection and difference in difference. It is aimed at the general reader with the equivalent of a bachelor's degree in economics, statistics or some more technical field. In addition, it introduces bounds, factor models, mixture models and empirical Bayesian analysis.Key Features:Focuses on the assumptions underlying the algorithms rather than their statistical properties.Presents cutting-edge analysis of factor models and finite mixture models.
Uses a hands-on approach to examine the
Machine Learning with R
Microeconometrics Using Stata
Learning with Nature
Learning with Nature
Learning with Nature
Learning Greek with Plato
Balance With Blended Learning
Deep Learning with Python