A Data Descriptor on Consumer Protection in Algeria: A Behavioural Economics Analysis of Market Anomalies (2021–2026)

This Data Descriptor presents a novel, open-access dataset compiled to analyse consumer protection dynamics in Algeria through a behavioural economics lens. It addresses a critical research gap by providing empirical, context-specific market data for North Africa. The dataset captures market anomalies and consumer decision-making patterns from 2021 to 2023, a period of significant economic transition. Methodologically, it integrates quantitative survey data from a stratified, nationally representative sample of 1,200 Algerian consumers with qualitative insights from 12 focus groups. This is supplemented by a systematically documented repository of observed market irregularities, including deceptive pricing and exploitative contract terms. Key findings reveal pronounced behavioural biases—such as present bias and loss aversion—which are systematically exploited within the Algerian retail and digital services sectors. These effects disproportionately affect women, who constitute the majority of primary household purchasers in the sample. The dataset’s significance lies in its capacity to inform evidence-based, culturally attuned consumer protection policies and educational programmes that move beyond standard rational-agent models. By providing granular, empirical evidence of behavioural market failures, this resource aids researchers and policymakers in designing more effective regulatory frameworks to safeguard consumers, promote fair practices, and contribute to inclusive economic governance.