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This dataset has been taken from Jeff Wooldridge's textbook. A modified version that appears in the wooldridge package.

Usage

data(fulton)

Format

fulton is a data frame with 97 observations and 12 variables named t, day, price, qty, speed2, wave2, speed3, wave3, price_asian, price_white, qty_asian, qty_white. Each row is a recording of the Fulton fish market sales on a given day.

  • t: Time-trend

  • day: Day of the week

  • price: Average price of fish (calculated as (qty_white * price_white + qty_asian * price_asian) / (qty_white + qty_asian))

  • qty: Quantity of fish sold (calculated as qty_white + qty_asian)

  • speed2: Wind speeds (minimum of past 2 days)

  • wave2: Maximum wave height (average of last 2 days)

  • speed3: Wind speed (3 day lag)

  • wave3: Maximum wave height (average of last 3 and 4 day lag)

  • price_asian: Average price of fish sold to Asian customers

  • price_white: Average price of fish sold to White customers

  • qty_asian: Quantity of fish sold to Asian customers

  • qty_white: Quantity of fish sold to White customers

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Details

Source: K Graddy (1995), “Testing for Imperfect Competition at the Fulton Fish Market,” RAND Journal of Economics 26, 75-92.