Applied economists are "detectives". We know that we do not know your preferences. If we could learn about your willingness to pay for market goods such as cell phones or for non-market goods such as clean air and safe streets, then both businesses and governments will demand our services. Economists look for clues and design experiments to learn about people. For example, if a person buys a $5 Starbucks drink then we immediately learn that a lower bound on how much she is willing to pay for such a drink is $5. If a week later, when the price is now $7 if she no longer buys it then, we now have learned that we can bound her willingness to pay for this product between $5 and $7 dollars. This book applies this revealed preference logic to dozens of problems to teach you how economists learn about people by watching what they choose under different circumstances.
From the title, I was expecting a book filled with real life data. Instead, this is mostly a textbook on the usual assumption based examples. The "current" context it includes consists only on mentioning Don Trump and Bill Gates as millionaires.
A short read, but if you have read some economics you'll hardly learn anything new.