Notice bibliographique
Résumé
Universal Basic Income (UBI) is a program in which individuals receive a regular sum of money, usually from the government. The transfer amount is thought to be unconditional of income and enough to cover all subsistence needs. Such a system is easy and cheap to administer because the government does not need to check the eligibility of each applicant. UBI programs are growing as more cities, states and countries (Stockton, California, Newark, New Jersey, Ontario, Canada, Kenya, Finland, Germany, Spain, China, etc) implement experiments of such programs. The idea of a UBI is gaining ground in the U.S.. One of the main responses of the U.S. to high unemployment caused by the COVID-19 pandemic and quarantine was a modified version of a temporary country-wide UBI program in 2020 (CARES Act). 30 mayors across the U.S. created a coalition - Mayors for a Guaranteed Income - to explore cash payment programs and address the racial wealth inequality. UBI is actively discussed to be a potential policy that can mitigate adverse impact of accelerated automation on wages and employment. Thus, it is important to understand what we have learned from UBI experiments, what macroeconomic models predict in the UBI environment, and what is the best approach to implement such programs. This dissertation consists of three chapters. In the first chapter I review the literature on a Universal Basic Income (UBI) policy. I explore the UBI experiments that have been conducted worldwide, their limitations, and lessons that we have learned from them. I also review the macroeconomic models that address the idea of unconditional transfers, their limitations and the required future developments to evaluate how UBI works in a more complex and realistic environment. In the second chapter, I use general equilibrium model of heterogeneous agents to evaluate the impact of the UBI system, on aggregate levels and distributions of wealth, consumption, labor, and welfare. I contrast this with a targeted transfers system where people need to meet certain eligibility criteria (usually, income) to qualify for transfers. I find that in the UBI system with $1,000 monthly payments, the level of aggregate capital falls by 16% and the inequality of wealth increases no matter how the UBI system is financed: through taxes or through foreign aid. Guaranteed payments induce people to save less because of less precautionary needs. As precautionary savings motive is stronger for the asset poor, people in the lowest wealth quintiles reduce their savings more, which increases the inequality of wealth. Even though the welfare of the least skilled and the asset poor increases significantly because of unconditional transfers, the tax-financed UBI system requires a consumption tax rate to be equal to 43% that slightly reduces the welfare of the wealthier. Even though consumption tax rate is unrealistically high, the effective consumption tax rate (consumption tax net of transfers) decreases on average and aggregate welfare increases by 15.7% as measured by consumption equivalent variation. A hybrid model with both targeted transfers and partial UBI (monthly payments of $500) with low, 5% capital income tax rate (to encourage savings) is more efficient as it provides significant, almost 8% gain in welfare with only 22% consumption tax rate and without compromising output or welfare of the asset rich. In the third chapter, I study the impact of a Universal Basic Income (UBI) policy on aggregate output and welfare when there is an automation of production technologies. When the productivity of robots increases, robots substitute for labor and thus, the share of labor in value added decreases. I use general equilibrium models with heterogeneous agents who face idiosyncratic earnings risk and Cobb-Douglas technology with Traditional Capital and Labor Services. Traditional capital does not include robots and can be employed in production only with labor services. Labor services is a CES nest of robot capital and Human capital that can substitute each other. I calibrate the economy to match the evolution of the labor share in the last three decades. If the productivity of robots doubles, I find that output increases in the new equilibrium and the welfare of wealth poor households decreases significantly resulting in more than 6% decrease in aggregate welfare (measured as consumption equivalent variation, CEV). In such a setting, the transition to a UBI system increases welfare significantly, by more than 15%, however, reduces output by 12% because it reduces the precautionary savings motive. The hybrid system in which every household receives 50% of subsistence requirement and the eligibility threshold for targeted transfers equals 50% of subsistence requirement works well as it is less detrimental to output while increasing aggregate welfare by 4% as CEV. Further increase in output in the UBI and Hybrid systems can be achieved by a lower capital income tax rate.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».