Developed annual metro-level market demand forecasts for over 2,000 cities in the US, Canada, the UK, France, Germany, Spain, Russia, China, India, Brazil, Switzerland and Italy.
Developed an employment forecast for states/provinces and metro areas in Canada, Mexico, Brazil, Germany, France, the UK, Spain, Italy, China, Saudi Arabia, South Africa, and 15 other countries in Europe. The econometric forecasting model was specified at the national, state and metro level for 65 industry sub-segments. The model produces near-term annual forecasts for a ten-year period for each metro area, state and nation.
Developed a zip-code level forecast of employment for Texas, California, Florida, and New York (as well as other key states). The econometric model was estimated at the county level for 2-digit and 3-digit NAICS categories and zip-code capture rates were estimated based on time-series employment estimates developed from the US Census Zip Code Business Patterns Database 1996-2006. The forecast includes a 4-year annual forecast for each industry category within each zip code.
For Research in Motion (makers of Blackberry¬©), developed an international employment statistics database segmenting the global employment base by 300 industries and 6 business size categories in 80 countries. Estimated an econometric forecast model at the industry and country levels to develop 10-year employment outlook. Model metrics are used across the organization to inform product and market investment decisions and facilitate market planning activities.
Estimated the number of business users of ‚Äúintegrated collaborative environments‚ÄĚ (such as Microsoft Exchange or Google Apps) in each country globally through a combination of econometric models and primary market research with IT decision makers