B. D. McCullough
Professor
Department of Decision Sciences
and
Department of Economics
(courtesy appointment)







Contact Information
office: 742 Gerri Lebow Hall
office hours (Spring 2014): Th, 5:30-6:30
phone: (215) 895-2134
e-mail:  bdmccullough AT drexel DOT edu
s-mail:  Dept. of Decision Sciences
             G-Hall 742
             LeBow College of Business
             Drexel University
             Philadelphia, PA 19104-2875

Education
A.B. in Economics with distinction, Georgetown University, 1981
Ph.D. in Economics and University Fellow, University of Texas at Austin, 1989
Phi Kappa Phi

Employment
Assistant Professor of Economics, Fordham University, 1989-1994
Senior Economist, Federal Communication Commission, 1995-2000
Associate Professor of Decision Sciences, Drexel University, 2001-2006 (tenured 2003)
Professor of Decision Sciences, Drexel University, 2006-present

Teaching: Spring 2014
Probability and Decisions, TuTh 2-3:50pm Textbooks.
Stat 632, Datamining for Managers, Th 6:30-9:20pm. Textbooks.

Selected Service
chairman, Department Personnel Committee (2004 - present)
member, College Personnel Committee (2009 - present, chairman 2011-2014)
assistant interim department head (2008 - 2009)
College alternate to University Faculty Senate (2008-2010)
College representative to University Faculty Senate (2006-2008)
member, College Strategic Planning Committee (2002-2008)
chairman, College Task Force to Redesign Teaching Evaluations (2005-2007)

Graduate Students
Li Dang (committee member), 2004, Accounting -- Cal Poly SLO
Ginny Miori (co-adviser), 2006, Decision Sciences -- St. Joseph's University
Maneesh Chhabria (committee member), 2010, Finance -- Urdang Capital Management
Phillip Gaudreau (committee member), 2014 (expected), Mathematics

Courses Taught
undergrad: Business Statistics I; Business Statistics II; Probability, Poker and Decisions; Introduction to Datamining; Microeconomics; Macroeconomics.
MBA: Business Statistics, Datamining for Managers.
grad: Probability and Statistics; Linear Models; Multivariate Analysis; Datamining; Time Series Analysis; Applied Econometrics; Experimental Design

Applied Probability Study Group
I am chairman of the APSG, which meets irregularly throughout the school year. Location varies. There are no sessions during the summer term. Please email me for details.

Editorial Duties
Associate Editor, International Journal of Forecasting (1999 - present)
Associate Editor, Journal of Economic and Social Measurement (2004 - present)
Associate Editor, Foundations and Trends in Econometrics (2005-present)
Associate Editor, Computational Statistics (2005-present)
Guest Associate Editor MIS Quarterly (2012)
Guest Editor, Computational Statistics and Data Analysis 54(3), 2010
Editorial Consultant for the Statistical Software Newsletter (2010-2012)
Associate Editor, Computational Statistics and Data Analysis (2003 - 2010)
Refereeing: see below

Publications click here.

Referee for: Acta Biotheoretica, American Economic Review, American Economist, American Journal of Agricultural Economics, American Political Science Review, Applied Stochastic Models in Business and Industry, BMC Medical Research Methodology, Chemometrics and Intelligent Laboratory Systems, Communications in Statistics: Simulation and Computation, Computational Economics, Computational Statistics and Data Analysis, Computational Statistics, Econ Journal Watch, Economics Letters, El Trimestre Economico (Mexico), European Journal of Operational Research, Informs Transactions on Education, Interfaces, International Journal of Forecasting, Journal of Applied Econometrics, Journal of Development Studies, Journal of Econometrics, Journal of Economic and Social Measurement, Journal of Environmental Quality, Journal of Financial and Quantitative Analysis, Journal of Forecasting, Journal of Income Distribution, Journal of Industrial Economics, Journal of Physiology, Journal of Quantitative Economics, Journal of Statistical Software, Journal of the Association for Information Systems, LIBER Quarterly, Management Information Systems Quarterly, Management Science and Engineering, Mathematica Journal, National Science Foundation, Progress in Development Studies, Research Policy, Review of Accounting and Finance, Review of Economics and Statistics, Statistics and Probability Letters, The American Statistician



BOOKS FOR THE LAYMAN:

My suggestions for learning more about the interplay between statistics, decision sciences, and business. These books are written for laymen, not for technical specialists. Moreover, they are all very well-written.

Data Mining:

Uncontrolled: The Surprising Payoff of Trial-and-Error for Business, Politics and Society by Jim Manzi shows how experimentation leads to better results in all walks of life.

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel is seven chapters on different topics in Predictive Analytics, together with many interesting vignettes. Well worth the read, to learn exactly what is going on.

Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schonberger and Kenneth Cukie provides hundreds of examples of data mining at work.

Super Crunchers by Ian Ayres is a book on which you shouldn't waste your time. The author doesn't know the first thing about data mining. Read my review "Ian Ayres's Super Crunchers Is Not about Super Crunching" SIGKDD Explorations 28(10), 50-52, 2008

Decision Making:

Influence by Robert Cialdini
The myriad way you incorrectly think your decisions are your own. After erading this superb book, Charlie Munger (Warren Buffett's sidekick) gave Cialdini a share of Berkshire-Hathaway as a token of appreciation.

How We Know What Isn't So by Thomas Gilovich
"The fallibility of human reason in everyday life" but not just from a numerical perspective.

The Wisdom of Crowds by James Surowiecki
Under what conditions do groups of non-experts make better decisions than experts? When do committees make good decisions and when are they likely to produce groupthink nonsense?

Thinking Strategically: The Competitive Edge in Business, Politics, and Everyday Life by Avinash K. Dixit and Barry J. Nalebuff
You don't need to know the mathematics behind the field of "game theory", but you need to know what game theory can do for you. What will your opponent/competitor do? What should you do in response? How to see through your opponent's strategy. Filled with examples from everyday life and business.

Math and Statistics:

Innumeracy by John Allen Paulos
"Mathematical illiteracy and its consequences" is the focus of this timeless book. Many simple examples show common pitfalls in thinking about numbers and how to overcome them.

Moneyball by Michael Lewis
How did the use of simple statistics propel the Oakland A's from the cellar to the playoffs and do it more cheaply than other teams?

Damned Lies and Statistics: Untangling Numbers from the Media, Politicians and Activists by Joel Best
Does the number of children who die from gunfire double each year? Does aorexia kill 150,000 women annually? If you trust the mainstream media, you believe these lies...

More Damned Lies and Statistics: How Numbers Confuse Public Issues by Joel Best.
Exposing more lies by journalists who, typically, cannot balance a checkbook let alone comprehend statistics....

Why Do Buses Come in Threes? The Hidden Mathematics of Everyday Life by Rob Eastaway and Jeremy Wyndham
This delightful book requires a bit of algebra once in a while, but answers some nagging questions. Why DO buses come in threes? Why am I always in traffic jams? Why can't I find a four-leaf clover?

Duelling Idiots and Other Probability Puzzlers by Paul J. Nathan
This book regularly requires freshman probability. Engineers who have taken a statistics course will enjoy this book.

The Lady Tasting Tea by David Salsburg
R. A. Fisher, a pioneer in statistics, created a famous example concerning a woman who claimed to be able to tell whether the milk was poured into the tea or the tea was poured into the milk; hence the title of the engaging story about statistics in the 20th century and many of the wonderful things that statistics has done. And not an equation in it!

Struck by Lightning: the curious world of probabilities by Jeffrey S. Rosenthal
What "statistical" studies do and don't show. Rare events (will you get struck by lightning?). Evolution and probability. How probability keeps your email box free of spam and your spam folder full of spam.

Finance:

Fortune's Formula by William Poundstone
This engaging book tells the story of Kelly's Formula for asset allocation, starting with its roots in Shannon's theory of information transmission across noisy lines. Mobsters and racetracks; roulette, blackjack and Las Vegas Casinos; Michael Millken's junk bond operation and the implosion of the LTC Hedge Fund all play roles. For a light introduction to the quantification of Wall Street, this book is superb.

Fooled by Randomness by Nassim Taleb
An excellent book on statistics and financial markets.

The Black Swan by Nassim Taleb
Taleb should have stopped after the first book. Don't bother with this one.

Economics:

Freakonomics by Levitt and Dubner.
At times entertaining, this book won't help you to apply economics in your personal life. Before you read this book, be sure to read the discerning reviews by Ariel Rubinstein ("Freak-Freakonomics", The Economists' Voice 3(9), 2006) and John DiNardo ("Freakonomics: Scholarship in the Service of Storytelling", American Law and Economics Review 8(3), 2006, 615-626)

BETTER THAN FREAKONOMICS BY FAR....

The Armchair Economist by Steven Landsburg

The Undercover Economist by Tim Harford

The Logic of Life by Tim Harford

I personally prefer Harford to Landsburg, but your mileage may vary.