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Course Schedule
Classroom Sessions:
Date Venue Fees
29 Apr - 03 May 2024 London - UK $5,950
23 - 27 Sep 2024 Los Angeles - USA $6,950
16 - 20 Dec 2024 London - UK $5,950
Online Sessions:

18 - 22 Dec 2023 Online $3,950
Course Description


This Practical Econometrics for Managerial Decision Making training course focuses on performing high-level multivariate econometric analysis using a range of business and economic data - with an emphasis on design, analysis, and drawing sound inferences to support strategic and operational decision-making. It's no longer specialty PhDs with $10,000 software packages doing high-end econometrics.

This training course dispels all the myths and misconceptions about intuitive multivariate modeling and analysis, making it practical-accessible for all managers using inexpensive software applications that work within industry standard Excel spreadsheets. 

This GLOMACS training course will highlight:

  • Working with a range of multivariate models, variables, and statistical output
  • Modeling and hypothesis design, variable-selection, and managing big-data
  • Developing original research projects, relational hypotheses, and parameters for inferences
  • Understanding benefits and costs of primary data vs. secondary data for research
  • Use of cross-sectional, time-series, longitudinal, and pooled cross-sectional data sets
  • Comparing original research output with published research results on various topics
  • Critical review, analysis, and critique of research models, methods, and conclusions drawn


At the end of this training course, you will learn to:

  • Design-produce an original research study
  • Collect and format various types of data
  • Perform different models of multivariate econometric analyses
  • Analyze detailed statistical output from econometric model-software
  • Draw inferences to support high-level managerial decision-making
  • Write a detailed, yet succinct, executive summary of research findings

Training Methodology

This training course will use an inductive reasoning approach for introducing new terms-concepts-models-methods, followed with highly interactive case-discussion, and small-group team case projects applied directly to the attendees’ firms/organizations. The main focus is “hands-on” doing high level econometric modeling, analysis, and interpretation of statistical results.

Organisational Impact

Attendees will have immediate Return-On-Investment (ROI) to their own firms / organizations by bringing those requisite skills, models, and research practices directly to their workplace and colleagues.  The Return-On-Investment (ROI) is that attendees will be ready to demonstrate these tangible skills and competencies:

  • Review, interpret, and critique existing/published econometric research studies
  • Design and implement original econometric research for their firm, market, and industry
  • Write high-level executive summaries with insights-inferences from econometric statistics
  • Convert generic Big Data into actionable intel that improves organizational performance

Personal Impact

Attendees will further their own professional development by: 

  • Understanding key nuances, terminology, modeling of contemporary econometrics
  • Gaining a new managerial mindset about “best practices” for applied business research
  • Enhancing their use of formal and objective econometric models and statistical outputs
  • Being able to objectively assess existing econometric studies’ data, output, and conclusions
  • Learning proactive forward-thinking approaches to managing big data toward research design
  • Bringing practical common-sense econometrics to both in-house and client-facing projects


This GLOMACS Practical Econometrics for Managerial Decision Making training course is suitable to a wide range of professionals but will greatly benefit: 

  • Research and Development / Product Development Teams looking for direct connections
  • Business Development Staff looking to proactively open up new opportunities
  • Financial Officers looking to design-execute original finance-accounting econometric research studies
  • Revenue Officers looking to develop new forms and insights for marketing and competition research
  • Board Members looking to fully monetize Big Data for the shareholders / stakeholders
Course Outline


Overview of Contemporary Econometrics and Decision Models

  • Model Design, Hypotheses, Variables, Structure, Outcomes
  • Quantitative and Qualitative Inputs  
  • Applications: From Wall Street to Marketing to Production to Consumer Behavior
  • Software Options
  • Linking Models and Confirmation Metrics


Understand Different Forms and Types of Research Data

  • Cross Sectional Samples
  • Time Series Sequences
  • Longitudinal Tracking
  • Pooled Cross-Sectional Aggregation
  • Primary Data Costs and Acquisition
  • Secondary Data Costs and Acquisition
  • Descriptive Outcomes vs. Predictive Outcomes
  • Dummy Variables / Indicators / Surrogates


Model and Hypothesis Design as Keys to Managing Big Data

  • Targeted Outcomes Determine Input Formations
  • Single-Variable vs. Multi-Variable Descriptors and Predictors
  • Punctuated Trending vs. Real-time Fluidity
  • Static Formations vs. Dynamic-Changing-Active Learning Models
  • Correlation and Association vs. Cause-And-Effect
  • Building Real Models for Delegates’ Firms, Industries, Markets


Designing Original Models for Your Firm, Competitive Market, and Industry

  • Categorizing Decision Areas and Coordinating Data Availability  
  • Micro-economic vs. Macro-economic Decisions
  • Indicators, Lagged Variables, Barometers / Bellwethers  
  • Running Several Rounds of Differing Regressions
  • Managing Databases of Targeted Variables
  • Problems of Multi-collinearity
  • Problems of Autocorrelation


Presenting and Evaluating-Critiquing Original Econometric Findings

  • Drawing Inferences Rather than Conclusions
  • Caveats of Explaining Variance
  • Individual and Team Presentations and Discussion-Interaction-Critique
  • Confidence Intervals in Econometric Forecasts
  • Packaging Analysis-results for Optimum Explanation
  • Problems with Overreach from Statistical Outputs
  • Personal-Managerial Bias Impacts Interpretation
  • Distilling Data Output into Actionable Intel
  • Disseminating Data Output for Maximum Decision Making Impact
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
  • Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Providers and Associations

Endorsed Education Provider

  • Quality Logo

GLOMACS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website:

In Association With

Oxford Management Centre

Oxford Management Centre

A GLOMACS - Oxford Management Centre collaboration aimed at providing the best training services and benefits to our valued clients.

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