This paper demonstrates that well-established biases in decision making under uncertainty can generate poverty traps. A theoretical framework is developed to demonstrate that: i) probability weighting and ambiguity attitude can lead individuals to erroneously undervalue profitable investments,...

The present research extends the extant literature by investigating the hypothesis on whether marriage can be a substitute for financial inclusion in energy poverty reduction in Ghana. Pooled data and two stage least squares techniques are used in the estimation process and the validity of the...

pt. 1. Conceptual frameworks -- pt. 2. Land markets, allocative efficiency, and poverty : who has access to land? -- pt. 3. Contract choice, poverty, and efficiency of land use -- pt. 4. Land markets, land tenure, and land management.

1. Introduction -- 2. New characteristics of poverty in China today -- 3. Analysis of the causes of poverty -- 4. China's poverty alleviation policies: goals and impacts -- 5. Governance and poverty alleviation -- 6. Suggestions for poverty alleviation policies.

1. The measure of poverty -- 2. The effects of machinery on the condition of the working-classes -- 3. The influx of population into large towns -- 4. "The sweating system" -- 5. The causes of sweating -- 6. Remedies for sweating -- 7. Over-supply of low-skilled labour -- 8. The industrial...

Household surveys suffer from persistent and growing underreporting. We propose a novel procedure to adjust reported survey incomes for underreporting by estimating a model of misreporting whose main parameter of interest is the elasticity of regional national accounts income to regional survey...

Biographical note: Samuel Bowles is Research Professor and Director of the Behavioral Sciences Program at the Santa Fe Institute, and Professor of Economics at the University of Siena. Steven N. Durlauf is Kenneth J. Arrow Professor of Economics at the University of Wisconsin, Madison. Karla...

The aim of this research is to establish the extent to which social programs and socioeconomic variables have been influencing poverty in the 24 Peru regions (2013-2022). The study is quantitative, non-experimental, and correlational. We use secondary data obtained from official sources such as...