size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: '### Human: Can you write a short introduction about the relevance of the
      term "monopsony" in economics? Please use examples related to potential monopsonies
      in the labour market and cite relevant research.### Assistant: "Monopsony" refers
      to a market structure where there is only one buyer for a particular good or
      service. In economics, this term is particularly relevant in the labor market,
      where a monopsony employer has significant power over the wages and working
      conditions of their employees. The presence of a monopsony can result in lower
      wages and reduced employment opportunities for workers, as the employer has
      little incentive to increase wages or provide better working conditions. Recent
      research has identified potential monopsonies in industries such as retail and
      fast food, where a few large companies control a significant portion of the
      market (Bivens & Mishel, 2013). In these industries, workers often face low
      wages, limited benefits, and reduced bargaining power, leading to a situation
      where they are dependent on the employer for their livelihood. This dependence
      can result in further suppression of wages and a decline in working conditions.
      Overall, the concept of monopsony is essential to understanding the dynamics
      of labor markets and the impact of market power on workers. Further research
      is needed to understand the extent and impact of monopsonies on the economy
      and to develop policies to address this issue. References: Bivens, J., & Mishel,
      L. (2013). The Pay of Corporate Executives and Financial Professionals as Evidence
      of Rents in Top 1 Percent Incomes. Journal of Economic Perspectives, 27(3),
      57-78.### Human: Now explain it to a dog'
    dtype: string
  splits:
  - name: train
    num_bytes: 3197
    num_examples: 1
  - name: test
    num_bytes: 2867
    num_examples: 1
  download_size: 64365
  dataset_size: 6064
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
