SMSA


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SMSA

abbr.
standard metropolitan statistical area
References in periodicals archive ?
it]: population in the SMSA where team i is located.
Spending more time in a single parent family or living in an SMSA also have no strong relationship with income, while having a disabled parent is associated with higher income in the late 20s and early 30s.
Neither the unemployment rate nor residence in an SMSA appears to have a statistically significant effect on hours preferences.
CHANGE SMSA = 1 if the worker resides in a different SMSA over the two periods.
For RC, a measure of local research concentration relative to the national norm was developed based on the specializations of the research facilities of the corporations in the SMSA and on the total number of nonbasic researchers in the city.
The San Francisco SMSA includes the counties of San Francisco, Alameda, Marin, and Contra Costa.
Ainsi, le remboursement des credits sera assure par la Centrale Laitiere de Mahdia en retenant les echeances periodiques des factures de lait livre par la SMSA El Houda a la CLM.
The wage regressions include a standard set of control variables: age and its square and dummy variables for English fluency (speak English well or very well), married with spouse present, residence in an SMSA, health limiting work, eight census divisions, and five (nine in 1990 sample) immigrant cohorts.
We adopt the framework developed by Coates and Humphreys (1999) to analyze the effects of the professional sports environment on the economy in an SMSA containing now or at some time in the last 30 years a franchise in one or more of professional football, basketball, or baseball.
Other variables included in the individual-level wage regressions were industry dummy variables; nine one-digit occupation dummy variables (with a bridge between the 1970 and 1980 SOC codes); linear and quadratic schooling; linear and quadratic potential experience; dummy variables for four regions; the unemployment rate in the SMSA or (for non-SMSA residents) in the rest of the state; dummy variables for three SMSA sizes; and dummy variables for married (spouse present) and overtime (based on usual hours worked).
I attempt to avoid this endogeneity problem by, in effect, using the industrial structure of an SMSA as an instrument for women's job opportunities.
Other variables include quartics in tenure and prior market experience, education, SMSA size, and dummy variables for gender, race, south, and occupations (1 digit).