The Effect
Product ID: 405748931
The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we “add a control variable” what does that actually do? Key Features: • Extensive code examples in R, Stata, and Python • Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions • An easy-to-read conversational tone • Up-to-date coverage of methods with fast-moving literatures like difference-in-differences Review: Genuine Product Received - Received a genuine copy with glossy pages. Happy with the delivery and product quality. Good job by the seller and desertcart. Review: Superb Book - My education in economics had a big lacuna in that I never really understood any of the econometrics that my Professors threw at us in class. I always thought the problem is at my end - may be I have some sort of disability that I am unable to comprehend it. After reading Nick's book, I have updated my beliefs. The problem wasn't with me. It was at the other end. This book is terrific. Teaches you how to think econometrics intuitively.
| Best Sellers Rank | #443,957 in Books ( See Top 100 in Books ) #412 in Econometrics & Statistics |
| Customer Reviews | 4.6 out of 5 stars 149 Reviews |
M**I
Genuine Product Received
Received a genuine copy with glossy pages. Happy with the delivery and product quality. Good job by the seller and amazon.
A**R
Superb Book
My education in economics had a big lacuna in that I never really understood any of the econometrics that my Professors threw at us in class. I always thought the problem is at my end - may be I have some sort of disability that I am unable to comprehend it. After reading Nick's book, I have updated my beliefs. The problem wasn't with me. It was at the other end. This book is terrific. Teaches you how to think econometrics intuitively.
S**A
Great book, Utterly poor print quality
The book is great but the print quality is really bad. It seems they have printed this book on A4 paper and in some places ink has faded. I think it's a duplicate printed version, given that it's a pricy book.
M**M
Perfect!
Finally... a book that covers good research design AND the key methods to answer causal questions AND nice code examples! The author does an excellent job walking the reader through the research process in a practical and very accessible way. I couldn't put this book down! I'm an experienced quantitative researcher and will be recommending this to colleagues (and using as teaching resource!).
K**R
Incredibly clear and accessible writing
I am half-way through this book (will update this review once I complete it). So far I have been very impressed with Nick's writing style. New concepts are introduced in an incredibly accessible manner, it makes them feel intuitive and natural. A large part of this (I think) is because he avoids excessive jargon and heavy reliance on mathematical proofs without first explaining the concepts behind the formulae. I have also been impressed with the sheer amount of humour packed into this textbook - it really helps to lighten what can typically be a heavy topic. Thanks for sharing your knowledge with the world, Nick!
A**R
One of the best books to get into causality
I am using this book regularly now in classrooms. It has a really easy-to-comprehend text, great examples, and code in multiple languages. Highly recommended for all levels!
B**N
Great & more than an introduction
Useful for any level of students in Economics, Statistics, Data science,etc. You have recent causal inference explanation in a easy manger for reader. This is the best introductory causal inference book to date in my point of view. I prefer buy the book over the free website and I like it. The white space in the book allow to take notes during reading.
K**1
Good book, good binding
Nick NK is an awesome dude in the field of econ. The book delivery time was standard. I got the paper back version. The paper quality is good, not "pulp-y".
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