Bayesian estimation of dsge models

Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques use...

Causal inference in python

How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through ca...

Data science for business

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This...

Data science from scratch

Discrete choice models

A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete choice models are essential tools for understanding decision-making when individuals must choose among alternatives. They have applications across the social sciences, notably in economics, marketing...

Essays in honor of cheng hsiao

Including contributions spanning a variety of theoretical and applied topics in econometrics, this volume of Advances in Econometrics is published in honour of Cheng Hsiao.

Essays in honor of m. hashem pesaran

The collection of chapters in Volume 43 Part A of Advances in Econometrics serves as a tribute to one of the most innovative, influential, and productive econometricians of his generation, Professor M. Hashem Pesaran.

Gdp

How GDP came to rule our lives—and why it needs to changeWhy did the size of the U.S. economy increase by 3 percent on one day in mid-2013—or Ghana's balloon by 60 percent overnight in 2010? Why did the U.K. financial industry show its fastest expansion ever at the end of 2008—just as the world’s...

Lean analytics

Making statistics work

Making Statistics Work presents a synthesis of information theory and Bayesian inference that provides a consistent, powerful, and flexible framework for data inference, allowing for new approaches to many of the unresolved questions of statistics.

Sports analytics

This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics.

The tyranny of metrics

How the obsession with quantifying human performance threatens business, medicine, education, government—and the quality of our livesToday, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the re...