Here are 100 books that An Economic Analysis of Crime and Justice fans have personally recommended if you like
An Economic Analysis of Crime and Justice.
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Throughout my academic career, my chief scholarly interest has been to assess public policy using coherent theory and rigorous empirical method.The economics of crime and justice offers a powerful framework for achieving these ends.
Benson and Simpson use the opportunity perspective – assuming that crimes often depend on offenders recognizing an opportunity to commit an offense – to uncover the processes and situational conditions that induce white-collar crimes.
They offer solutions to this persistent and widespread social problem, recognizing the difficulties of control.
The treatment is thoroughly researched and empirically supported.
White-Collar Crime: An Opportunity Perspective analyzes white-collar crime within a coherent theoretical framework. Using the opportunity perspective, which assumes that all crimes depend on offenders recognizing an opportunity to commit an offense, the authors uncover the processes and situational conditions that facilitate white-collar crimes. In addition, they offer potential solutions to this persistent and widespread social problem without being reductive in their treatment of the difficulties of control.
With this third edition, Benson and Simpson have added substantive online teaching materials and expanded their coverage with up-to-date case studies and discussions of recent investigations into white-collar crime and control. These…
Throughout my academic career, my chief scholarly interest has been to assess public policy using coherent theory and rigorous empirical method.The economics of crime and justice offers a powerful framework for achieving these ends.
Cohen offers a comprehensive sweep of the financial and non-financial consequences of criminal behavior, crime prevention, and society’s response to crime, public and private.
Crime costs are far-reaching, including medical costs, lost wages, property damage, pain and suffering, and reduced quality of life for victims and the public at large, as well as public expenditures on police, courts, and prisons, and the costs borne by offenders and their families, who often suffer consequences apart from the punishments they receive for committing crime.
This book presents a comprehensive view of the financial and non-financial consequences of criminal behavior, crime prevention, and society's response to crime. Crime costs are far-reaching, including medical costs, lost wages, property damage and pain, suffering, and reduced quality of life for victims and the public at large; police, courts, and prisons; and offenders and their families who may suffer consequences incidental to any punishment they receive for committing crime.
The book provides a comprehensive economic framework and overview of the empirical methodologies used to estimate costs of crime. It provides an assessment of what is known and where the…
Throughout my academic career, my chief scholarly interest has been to assess public policy using coherent theory and rigorous empirical method.The economics of crime and justice offers a powerful framework for achieving these ends.
Controlling Crime uses an economic approach to examine ways to reduce crime without sacrificing public safety.
Topics include criminal justice system reform, social policy, government policies affecting alcohol and drug abuse, and private crime prevention approaches.
Attention is paid to the respective roles of both the private sector and government agencies.
Through a broad conceptual framework and a careful review of the relevant literature, this volume provides insight into the effectiveness of a wide variety of interventions to reduce crime.
Criminal justice expenditures have more than doubled since the 1980s, dramatically increasing costs to the public. With state and local revenue shortfalls resulting from the recent recession, the question of whether crime control can be accomplished either with fewer resources or by investing those resources in areas other than the criminal justice system is all the more relevant. "Controlling Crime" considers alternative ways to reduce crime that do not sacrifice public safety. Among the topics considered here are criminal justice system reform, social policy, and government policies affecting alcohol abuse, drugs, and private crime prevention. Particular attention is paid to…
Throughout my academic career, my chief scholarly interest has been to assess public policy using coherent theory and rigorous empirical method.The economics of crime and justice offers a powerful framework for achieving these ends.
This book presents contrasting views on the privatization of policing: whether it is mostly a good thing, its downsides, and which aspects of policing lend themselves to privatization.
Forst argues that a blend of public and private policing can provide a more equitable and efficient delivery of policing services than can public police alone.
Manning, unfriendly to economics and management efficiency, takes a dramaturgical perspective, concluding that those paradigms are fundamentally at odds with the traditional policing mandate, which confers on the government a monopoly on the use of coercion.
The increasing reliance on private security services raises questions about the effects of privatization on the quality of public police forces, particularly in high-crime, low-income areas. In an effective pro-and-con format, two experts on policing offer two strikingly different perspectives on this trend towards privatization. In the process, they provide an unusually thoughtful discussion of the origins of both the public police and the private security sectors, the forces behind the recent growth of private security operations, and the risks to public safety posed by privatization. In his critique of privatization, Peter K. Manning focuses on issues of free market…
I currently teach in the management department of the London School of Economics, and I often need to communicate economic ideas to non-economists. Honestly, I was very nervous about writing (yet another) book about economics. Especially since there are so many around. Two things made me have a go. I really wanted to convey the key arguments with simplicity, translating often complicated and abstruse ideas into straightforward language in a way that didn’t dumb down. Second the world has changed so much in recent years that you need to keep up to date. Quantitative easing, modern monetary theory, and Bitcoin are ideas that just did not exist until recently.
All politicians should be forced to read this book. Anyone who reads a newspaper should be forced to read this book. My favourite radio programme in the world is Tim Harford’sMore or Less. And this book is every bit as good. Harford is clear, incisive, and always interesting. In a world crowded with disinformation and fake news, he shows you how to evaluate the numbers that are thrown at you. To read him is to become a little cleverer. Make this man prime minister someone.
'Tim Harford is one of my favourite writers in the world. His storytelling is gripping but never overdone, his intellectual honesty is rare and inspiring, and his ability to make complex things simple - but not simplistic - is exceptional. How to Make the World Add Up is another one of his gems. If you're looking for an addictive pageturner that will make you smarter, this is your book' Rutger Bregman, author of Humankind
'Tim Harford could well be Britain's Malcolm Gladwell' Alex Bellos, author of Alex's Adventures in Numberland
I grew up listening and participating in discussions about politics. These discussions often ended up on Economics – after all, “it’s the economy, stupid!”. Game theory, by being very broad and focused on strategic interactions, served as a very rewarding unifying apparatus for my understanding of Economics. It is also very beautiful and elegant, combining the austere beauty of pure mathematics with insights from elegant literature – I was pleased to cite Graham Green’s Our Man in Havana in a recent paper. It has accompanied me in a 20-year career since my PhD in Economics at the University of Minnesota to my current professorship in Economics at the University of Surrey.
When the goal is to have an appealing introduction to game theory, with plenty of economic applications, there can hardly be any book better than this one.
It covers the core elements of game theory in a simple, yet careful, way, always illustrating them with expertly chosen economic problems. A must for anyone wanting to enter the world of game theory.
This book's introduces one of the most powerful tools of modern economics to a wide audience - not only those who will specialize as pure game theorists but also those who will construct (or even just consume) game-theoretic models in applied fields of economics.
I never had a real career. Closest I came was the Air Force Reserve for 27 years. Along the way, I built fighter-vs-fighter computer models for the Defense Department, served as an advisor to a Saudi Air Force prince, led a team that designed a replacement for the Air Force’s A-10 tankbuster (which was never built, unfortunately), sold C-130 transport aircraft in Saudi Arabia, taught statistics in business school, became a yoga instructor, and did PR work in Atlanta. Starting in 1975, I collaborated a little with a retired Air Force colonel, John Boyd, creator of the infamous “OODA loop.” I was never a published author in the US, although I am in India, Portugal, and Japan.
Here’s some bad news for non-STEM people: You’re going to have to learn a little about statistics. Otherwise, at some point, you going to get, as Nassim Nicholas Taleb puts it, “fooled by randomness.” An example: Suppose you’ve been a sales manager for a long time but recently you failed to close a string of prospects. How unusual is this? It could be just a run of bad luck, or is it time to make some significant personnel moves? Basic knowledge of statistics can help. If your math is rusty, you might want to take a stat course for non-math majors. Otherwise, here’s a book that I used with my MBA students that features scenarios from businesses.
Discover how statistical information impacts decisions in today's business world as Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 9E connects concepts in each chapter to real-world practice. This edition delivers sound statistical methodology, a proven problem-scenario approach and meaningful applications that reflect the latest developments in business and statistics today. More than 350 new and proven real business examples, a wealth of practical cases and meaningful hands-on exercises highlight statistics in action. You gain practice using leading professional statistical software with exercises and appendices that walk you through using JMP (R) Student Edition 14 and Excel (R) 2016.…
I’m an economics professor, but I also have a column in Australia’s leading financial newspaper so I really appreciate authors who can tackle complex topics in an accessible manner. I’m also both extremely interested in and do academic research on topics to do with technologies like two-sided platforms, cryptocurrencies, blockchain, and artificial intelligence. All these books made me think harder about the big issues in these areas, and how to combine rigorous research with what is actually happening—often at breakneck speed—in the real-world digital economy.
This book helped me understand why advances in artificial intelligence are going to have a big impact on productivity and economic growth. I loved the analogies to old technologies like electrification of factories, and newer examples like how Team New Zealand used simulations to change racing tactics and boat design.
The book has an important, big idea at its heart. That idea is that AI helps organizations make better predications, and those better predictions allow organizations to be fundamentally redesigned to take advantage of this. This is where the AI productivity revolution comes from.
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI…
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
I have used this book to teach my Financial Risk Analytics course at Northwestern University for many years. As a textbook, it is surprisingly easy to read, and the abundant exercises are great. This would be a foundational text to read after you have read my own books. It puts you on solid ground to understand all the financial babble that you may read elsewhere. It includes extensive coverage of most basic topics important to a serious quantitative trader, while not being overly mathematical. Easily understandable if you have basic programming and math background from first year of university.
Everything is practical in this book, which isn’t what you would expect from a textbook! There is no math for math’s sake. I have used the techniques discussed in this book for real trading, and for creating features at my machine learning SaaS predictnow.ai. Examples: What’s the difference between net…
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code…
I taught for 45 years at Ithaca College broken by two years as Fulbright Professor in West Africa at the University of Liberia. During my years in academia, I developed several new courses including a popular “Math in Africa” class and the first U.S. course for college credit in chess theory. I’ve always had a passion for and continue to have strong interests in (1) national educational and social issues concerning equal access to math education for all and (2) teaching others about the power of mathematics and statistics to help one more deeply understand social issues.
This book is kind of a fun crash course in statistics which covers all the basic concepts at an introductory level.
The cartoons are a little bit dated, but still entertaining. There are lots of pictures and graphs which are a pleasure if you are a visual learner. The reader will come away with many useful tools to help understand real world problems.
I’m a retired math professor, but still got a real kick out of this book and especially appreciated the many good examples referenced such as gender discrimination in salaries and racial discrimination in jury selection. I recommended it to many of my struggling students.
Updated version featuring all new material. If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more-all explained in simple,…
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