Clinical Assistant Professor
Ph.D., Rutgers University, 2003; M.A., Rutgers University, 2001; M.S., Rutgers University, 2000; M.B.A., Monmouth University, 1986; M.A., Rutgers University, 1981; B.A., Seton Hall University, 1978.
Southwest economic development, public finance, regulatory economics.
Macfie, Brian P. "Applied Statistics for Management Decision Making."
Macfie, Brian "Manufacturing Productivity in the Southwest."
Macfie, Brian and Steven Clarke "Hedonic Modeling and Vacant Land Values."
Arizona State University: 2003-present. Previous Appointments: University of Phoenix, Monmouth University, Ocean County College, Middlesex County College.
Editor, Gas Load Forecasting Methods, Statistics and Load Forecast Committee - American Gas Association (1995). Chapter 1, 2, 3, 4, 10, and 12.
Corporate and Public Sector Leadership
Manager, Trends and Forecasts, New Jersey Transit, 1999-2003; Economist, New Jersey Natural Gas Company, 1984-1999; Research Economist, New Jersey Department of Commerce, Office of Economic Research, 1981-1984.
Macfie, Brian P. and Roy Churchman. (1997). "Load Research at NJNG." Public Utilities Fortnightly, vol. 135, no. 20, pp. 30-39.
Macfie, Brian P. and Philip M. Nufrio. Applied Statistics for Public Policy. M. E. Sharpe Publishing, Armonk, NY. (2005).
ASU is a tier 1 research university and W. P. Carey is proud of its strong tradition of teaching and classroom excellence. Our students directly benefit from the research and theories our faculty brings into the classroom. Below is a list of courses being taught during the current semester by this faculty member. Click a course to view it in the ASU course catalog.
ECN 211 - Macroeconomic Principles
Basic macroeconomic analysis. Economic institutions and factors determining income levels, price levels, and employment levels.
ECN 306 - Survey International Economics
Surveys international trade issues, commercial policy, trade theory, customs unions, and international monetary topics.
ECN 410 - Applied Regression Analysis
Applies regression techniques to forecasting in business and institutional environments.