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Neal Olitsky

faculty

Neal Olitsky, PhD

Professor / Chairperson


Curriculum Vitae

Contact

508-910-6670

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Spruce Hall 0167

Education

2008University of IowaPhD
2004University of IowaMA
2002Oberlin CollegeBA

Teaching

  • Macroeconomics
  • Labor Economics
  • Econometrics

Teaching

Courses

Survey of the American economy focusing on markets, the price system, and resource allocation. Price determination in competitive and imperfectly-competitive markets. Applications in agricultural economics, legal prices, excise taxes, labor market issues, advertising, technological change, pollution and the environment, public goods, antitrust policy, international trade, and alternative economic systems.

Survey of introductory macroeconomics with focus on economic growth, unemployment, and inflation. Topics covered include national income accounting, inflation, unemployment, fiscal policy, money, the banking system, and monetary policy. Balance of payments and currency exchange rate issues are analyzed.

A one-semester course in contemporary intermediate macro theory. Covers issues in economic growth, unemployment, and inflation. Develops and contrasts the New Classical (equilibrium) and Neo-Keynesian (disequilibrium) models in the aggregate demand/aggregate supply framework for both closed and open economies. Policy implications of each model are discussed. Introduces students to sources of macroeconomic data.

Translation of statistical concepts presented in ECO 332 into tasks in Microsoft Excel. Labs will consist of problems which will be solved step by step to foster an effective approach to statistical computing. Students will use hypothetical and real-world data when performing lab exercises. Topics covered in the lab will be the same as those covered in ECO 332.

Translation of statistical concepts presented in ECO 332 into tasks in Microsoft Excel. Labs will consist of problems which will be solved step by step to foster an effective approach to statistical computing. Students will use hypothetical and real-world data when performing lab exercises. Topics covered in the lab will be the same as those covered in ECO 332.

Introduction to data and statistical methods used in economics. Descriptive statistics, probability distributions, sampling, estimation, confidence intervals, hypothesis testing, correlation, and regression including multiple regression are covered. Applications in economics with current economic data are emphasized.

Introduction to data and statistical methods used in economics. Descriptive statistics, probability distributions, sampling, estimation, confidence intervals, hypothesis testing, correlation, and regression including multiple regression are covered. Applications in economics with current economic data are emphasized.

Introduction to econometrics including development of basic techniques of bivariate and multivariate linear regression analysis; use of lagged variable and dummy variables in model building; problems of multicollinearity, autocorrelation and heteroscedasticity.

Translation of statistical concepts presented in Econometrics (ECO 333) into STATA. Labs teach basic functions in STATA such as data manipulation, variable construction, simple programming, regression, statistical testing and prediction. Labs consist of examples which will be solved step-by-step to foster an effective approach to statistical computing. The topics covered in labs correspond to those covered in ECO 333.

The labor force. Wages in competitive and non-competitive markets. Wage structures. Inequalities and discrimination. Impacts of unions and social standards. Indexation, inflation and unemployment.

Teaching

Online and Continuing Education Courses

Translation of statistical concepts presented in ECO 332 into tasks in Microsoft Excel. Labs will consist of problems which will be solved step by step to foster an effective approach to statistical computing. Students will use hypothetical and real-world data when performing lab exercises. Topics covered in the lab will be the same as those covered in ECO 332.

Introduction to data and statistical methods used in economics. Descriptive statistics, probability distributions, sampling, estimation, confidence intervals, hypothesis testing, correlation, and regression including multiple regression are covered. Applications in economics with current economic data are emphasized.

In-depth coverage of an economic topic of contemporary interest; research paper required.
Register for this course.

Survey of introductory macroeconomics with focus on economic growth, unemployment, and inflation. Topics covered include national income accounting, inflation, unemployment, fiscal policy, money, the banking system, and monetary policy. Balance of payments and currency exchange rate issues are analyzed.
Register for this course.

Introduction to econometrics including development of basic techniques of bivariate and multivariate linear regression analysis; use of lagged variable and dummy variables in model building; problems of multicollinearity, autocorrelation and heteroscedasticity.
Register for this course.

Translation of statistical concepts presented in Econometrics (ECO 333) into STATA. Labs teach basic functions in STATA such as data manipulation, variable construction, simple programming, regression, statistical testing and prediction. Labs consist of examples which will be solved step-by-step to foster an effective approach to statistical computing. The topics covered in labs correspond to those covered in ECO 333.
Register for this course.

The labor force. Wages in competitive and non-competitive markets. Wage structures. Inequalities and discrimination. Impacts of unions and social standards. Indexation, inflation and unemployment.
Register for this course.

Intermediate writing in economics with variable content. The economic issues covered vary by instructor and semester, but the course focuses on the tools and practice of professional writing in economics. Students engage in low and high stakes writing assignments with a focus on research writing, integration, and synthesis of knowledge from diverse sources, policy analysis and proper citation and formatting.
Register for this course.

Research

Research interests

  • Labor Economics
  • Economics of Education
  • Economics Education

Select publications

See curriculum vitae for more publications

  • Sarah B. Cosgrove & Neal H. Olitsky (2022).
    Journal of Economic Education, 54, 1-16.
  • Stephen B. DeLoach, Mark R. Kurt, and Neal H. Olitsky (2021).
    Journal of Studies in International Education, 25, 100-118.
  • Neal H. Olitsky and Sarah B. Cosgrove (2016).
    International Review of Economics Education, 21, 1-11.
    Best Paper Award for 2016
  • Neal H. Olitsky (2014).
    Research in Higher Education, 55, 245-271.
  • George Neumann, Neal Olitsky, and Steve Robbins (2009).
    Job congruence, academic achievement, and earnings
    Labour Economics, 16, 503-509.
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