Causal Economics is a frontier branch of the super hot area of behavioral economics, which has produced recent Nobel Laureates like Richard Thaler and Daniel Kahneman. We believe that Causal Economics is a breakthrough idea that needs more mainstream attention to help us better solve economic, social, business and marketing issues. Current economic approaches are based on incomplete fundamentals that create confusion, frustration and poor policy.
Our research has been published in peer reviewed academic journals and is available on Heliyon.com and ScienceDirect.com. It provides fresh theoretical and applied support for free markets, small government, personal choice and accountability. Causal Economics places central focus on the fundamental principle of putting cause and effect between cost and benefit at the center of all decisions. It allows us to model real life decisions that span multiple periods and involve deliberate up-front costs followed by uncertain future benefits – for example losing 25 pounds. Mainstream economic theories aren’t able to model these scenarios because they are generally structured around single-period, cost OR benefit outcomes.
For the Economist
The core theoretical breakthrough of Causal Economics’ is the replacement of conventional single-value (net cost OR net benefit), single-period exogenous lottery outcomes as utilized within mainstream economics, with endogenous multi-period outcomes that always contain both personal total benefit (B) and personal total cost (C), including certain (deliberate) and uncertain components, with cause and effect running in at least one direction. Agents optimize an overall cumulative rank dependent weighted outcome value function against internal personal psychological trade-off constraints. Its core applied breakthrough is the introduction of the Causal Coefficient and four Causal Coupling Mechanisms to evaluate and guide development of effective economic and social activities, policies and institutions. Sustainable Pareto Optimal outcomes are predicted whenever causal coupling of B and C across involved or impacted agents is achieved via a Causal Coefficient ≥ 1. The model provides a powerful pluralist framework for additional research into the optimality of policies and institutions that prioritize individual freedom of choice and responsibility to society. Causal Economics minimizes loose analysis rooted in political bias, by providing a simple and transparent tool for analysis.
For the Professional Marketer
Causal Economics helps marketers think longer-term about relationships with clients and prospects. It emphasizes transparent communications that build trust over time, maximizing credibility and reinforcing the importance of nurture marketing across the funnel. It also sheds light on sales and marketing alignment and helps clarify pain thresholds/tipping points that create conversion behaviour.
Join is in our journey to learn more. You can view our latest research at ScienceDirect.