THE BRIDGE LEGAL ECONOMICS

STATISTICAL ANALYSIS OF DISCRIMINATION

Discrimination cases typically rely on empirical analyses designed to measure the impact of any alleged conduct on the relevant protected group. —whether in hiring, compensation, or promotion.

We are well-versed in the statistical and econometric techniques used to evaluate alleged discrimination. Our expertise extends across a variety of contexts, including promotion and pay, pre-litigation consulting on pay equity issues, reductions in force, and the use of race in employment decisions.

NHLE understands the concerns about bias and discrimination in machine learning and algorithmic decision-making. These concerns encompass a wide-range of business including advertising, retailers, finance, higher education, and healthcare.

COMMERCIAL DAMAGES

Breach of Contract
Tortious Interference
Antitrust
Transfer Pricing

Strategic and Advisory Services

Analysis and impact of competition, regulation,
Assessment and appraisal of managerial decision-making on market and firm performance
Analysis of cost, pricing, and marketing strategies
Liability valuation and risk management
Business valuation, intangible property valuation, and options valuation

CONJOINT ANALYSIS

Conjoint analysis is a survey-based tool for estimating consumer preferences. It is commonly used by businesses and industry practitioners to aid decisions on new product development and market segmentation analysis, among other uses.

Conjoint analysis has been increasingly used as a method to estimate damages in a variety of consumer class actions including patents, product liability, false advertising, product labeling, and data privacy and data breach matters.

SURVEY AND SAMPLING DESIGN

NHLE has considerable experience in sampling and survey design including analyzing and implementing reliable techniques.

And we also conduct surveys of market participants to assess consumer behavior, attitudes, and preferences.

CONTENT ANALYSIS

We develop and implement rigorous, state-of-the-art content analysis techniques to assess marketing messages (such as advertisements), social media and user-generated online content, and other content involving extensive textual data, such as public press spanning many years.

STATISTICAL AND ECONOMETRIC ANALYSIS

We offer advanced modeling and statistical methods, including difference-in-differences, hedonic regression, and synthetic control methods, among others. We frequently use real-world, large datasets with sophisticated statistical and econometric methods.