Decisions in Economics: A New Taxonomy Resolves the Puzzle of Assimilation and Contrast in Human Choice

For decades, behavioral economists and psychologists have grappled with a persistent paradox in human decision-making: why do benchmarks such as peer behaviors, personal expectations, and explicit goals sometimes drive individuals to elevate their choices, while at other times they cause those same choices to plummet? This erratic behavioral response has long confounded researchers attempting to model everything from labor supply and financial market investments to everyday consumer habits and corporate strategy. Now, a newly released academic working paper—designated as Working Paper 35694 with DOI 10.3386/w35694 and issued in September 2026—proposes a comprehensive taxonomy that successfully untangles this complexity. By categorizing comparison points into distinct "input" and "output" groups, the new research provides a unifying framework that predicts the direction of decision shifts across a vast array of economic scenarios.

Main Facts and Core Findings

The core thesis of the research revolves around how humans process information when faced with complex decisions. Economic agents rarely make choices in a vacuum; instead, their judgments are continually shaped by reference points, performance goals, prior expectations, and the observable actions of peers. Historically, literature on the subject has split into two seemingly contradictory camps. One set of studies documented "assimilation," a phenomenon where a higher benchmark (such as a peer earning more) leads an individual to increase their own effort or investment. The other documented "contrast," where a higher benchmark leads to a decrease in the target metric, often driven by discouragement or the substitution of one variable for another.

Working Paper 35694 resolves this tension by demonstrating that the direction of the effect depends fundamentally on the nature of the comparison point relative to the decision process. The authors posit that when absolute evaluations—the cognitive translation of a decision input into an output—are difficult to calculate, humans naturally rely on comparison points as informational guides on how to navigate complex trade-offs.

The resulting taxonomy divides these benchmarks into two clear categories:

1. Input comparators: These are tied to exogenous decision inputs, such as a typical hourly wage or a baseline market cost that the decision-maker cannot directly control. The model predicts that decisions will systematically decrease in response to these comparators.
2. Output comparators: These are tied to endogenous decisions or final outcomes, such as typical daily earnings or target wealth accumulation. The model predicts that decisions will increase in response to these comparators.

To validate this theoretical framework, the research team conducted a rigorous series of controlled experiments focusing on three distinct economic domains: labor supply, financial investment decisions, and Bayesian belief updating. These experiments tested both social comparison points (observing the actions or earnings of peers) and expectations-based comparison points (comparing current states to previously anticipated outcomes). The empirical results consistently confirmed the theoretical predictions, showing predictable directional shifts based on whether the benchmark functioned as an input or an output.

Chronology and Research Context

The publication of Working Paper 35694 in September 2026 represents the culmination of years of iterative research within behavioral economics, building upon a rich historical timeline of inquiry into human heuristics and biases.

The trajectory of this field can be traced across several key milestones:

• 1970s–1980s: The foundational work of Daniel Kahneman and Amos Tversky established Prospect Theory, introducing the concept of reference-dependent preferences and demonstrating that individuals evaluate outcomes relative to a neutral reference point rather than in absolute terms.
• 1990s–2000s: Subsequent behavioral research expanded into social comparisons and equity theory, noting that workers and investors adjust their efforts based on what they observe in their immediate environment. However, inconsistent findings began to accumulate in the literature, with some laboratory and field studies showing positive peer effects and others showing negative or crowding-out effects.
• 2010s: Researchers increasingly turned to neuroeconomics and information-processing models to understand the cognitive mechanisms behind choice architecture, though a unified predictive model for the sign of comparison effects remained elusive.
• September 2026: The release of Working Paper 35694 bridges this long-standing gap by introducing the input-versus-output taxonomy, shifting the analytical focus from mere loss aversion or social signaling to the informational value of benchmarks in navigating cognitive trade-offs.

Supporting Data and Literature Review

To demonstrate the robustness of their taxonomy beyond laboratory settings, the authors of Working Paper 35694 conducted a comprehensive meta-classification of the prior academic literature. By categorizing more than 100 historical experimental studies and field observational analyses, the researchers found that the input-versus-output taxonomy successfully organizes and explains the sign of comparison effects across virtually all evaluated datasets.

Furthermore, the paper provides direct empirical evidence regarding the underlying mechanism: comparisons acting as information. The authors tested this by manipulating experimental conditions to alter decision uncertainty. Their findings revealed that comparison effects weaken significantly under two specific conditions:

• When decision uncertainty is experimentally reduced (i.e., when participants have clear, objective information and no longer need to rely on heuristics).
• When the comparators themselves are rendered less informative (i.e., when the benchmark is revealed to be unrepresentative or noisy).

This dual attenuation provides strong empirical support for the premise that comparison points are utilized primarily as cognitive shortcuts to resolve valuation ambiguity, rather than simply triggering automatic emotional responses like envy or satisfaction.

Expert Reactions and Academic Implications

While Working Paper 35694 is currently circulating as a pre-peer-review working paper, early responses from behavioral economists, labor economists, and finance scholars have been notably enthusiastic.

Academic commentators have highlighted several profound implications for economic modeling and public policy:

• Behavioral Modeling: By offering a parsimonious rule for predicting whether agents will assimilate to or contrast against benchmarks, economic theorists can now construct more accurate utility functions that incorporate bounded rationality without resorting to ad-hoc assumptions.
• Labor Market Dynamics: Human resources departments and policymakers designing incentive structures must take heed of how wage transparency is framed. If a benchmark is perceived as an exogenous input comparator, higher peer wages might inadvertently disincentivize labor supply under certain conditions, whereas framing benchmarks around output goals could stimulate productivity.
• Financial Regulation and Investor Behavior: In financial markets, retail investor choices are heavily influenced by reported benchmarks and peer portfolio returns. Understanding whether these benchmarks function as inputs or outputs can help regulators anticipate market volatility driven by herd behavior or contrarian shifts.

Broader Impact and Future Outlook

The introduction of this new taxonomy marks a significant step forward in behavioral economics, bridging the gap between seemingly contradictory empirical results and offering a cleaner, more rational foundation for understanding human choice. As the academic community scrutinizes and builds upon the findings of Working Paper 35694, future research is expected to explore how these principles apply to complex macro-level phenomena, such as inflation expectations, housing market participation, and long-term savings behavior.

For now, the September 2026 working paper stands as a vital contribution to the science of decision-making, offering a clearer lens through which economists can view the subtle yet powerful ways in which reference points guide human economic activity.