Description

Wooldridge Source: See EZANDERS.RAW Data loads lazily.

Usage

Format

A data.frame with 198 observations on 37 variables:

• year: 1980 to 1988

• uclms: unemployment claims

• ez: =1 if have enterprise zone

• d81: =1 if year == 1981

• d82: =1 if year == 1982

• d83: =1 if year == 1983

• d84: =1 if year == 1984

• d85: =1 if year == 1985

• d86: =1 if year == 1986

• d87: =1 if year == 1987

• d88: =1 if year == 1988

• c1: =1 if city == 1

• c2: =1 if city == 2

• c3: =1 if city == 3

• c4:

• c5:

• c6:

• c7:

• c8:

• c9:

• c10:

• c11:

• c12:

• c13:

• c14:

• c15:

• c16:

• c17:

• c18:

• c19:

• c20:

• c21:

• c22: =1 if city == 22

• luclms: log(uclms)

• guclms: luclms - luclms[_n-1]

• cez: ez - ez[_n-1]

• city: city identifier, 1 through 22

Notes

A very good project is to have students analyze enterprise, empowerment, or renaissance zone policies in their home states. Many states now have such programs. A few years of panel data straddling periods of zone designation, at the city or zip code level, could make a nice study.

Used in Text: pages 470, 504

Source

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

Examples