Our market analytics studies develop market- and industry-specific knowledge from publicly available and proprietary data on households, industries, and businesses. Our services help clients develop deeper knowledge of public policy and regulatory impacts.

Examples of projects include:

  • Statistical distribution analysis and econometric modeling of the impact of debt on financial distress and bankruptcy among nonfinancial corporations. In this study, we relied on proprietary sources of data, including Standard & Poor’s COMPUSTAT database on the financial structure of corporations, market de-listings reported by the University of Chicagos Center for Research in Security Prices (CRISP), and financial market statistics reported by Ibbotson Associates in its Stocks, Bonds, Bills, and Inflation publications.
  • Economic modeling of job losses resulting from mandates requiring employers to bear the costs of employee health insurance. Here, we relied on the publicly available Current Population Survey (CPS) March Supplement for household statistics, including employment status, size of the employing firm, health insurance coverage status of the population, and earnings, among others, as well as proprietary statistics from the Kaiser Family Foundation and eHealthInsurance on health insurance plan characteristics and costs.
  • Partial equilibrium analysis and estimation of lost sales and consumer and producer welfare losses resulting from a sales tax on digital electronic equipment and storage media in 15 European countries, Japan, and Canada. In this study, we modeled product markets using published data on country-specific demand (quantities purchased and prices) for 16 products, as well as current and proposed product- and country-specific levy rates.
  • Econometric modeling and estimation of the impact of information and communications technology (ICT) capital on gross domestic product (GDP), and benchmarking of ICT use in 15 Latin America and Caribbean countries. For this study, we estimated ICT and non-ICT capital stocks in 30 countries, including countries with high- and middle-income economies. We also relied on publicly available statistics on hours worked and ICT use indicators by country.
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