"... In PAGE 19: ... While --given our discussion of equation 2-- this could reflect, in part, unobserved differences between the covered and noncovered sectors that are common to women and men, it does however suggest that the primary effect is to help women and not to hurt men. Finally, Table3 also shows that quitters and laid off workers have higher re-employment hazards than workers separating for other reasons (the excluded category); relative to those two groups seasonal workers have a slightly lower re-employment rate. Unsurprisingly, dismissed workers have the lowest re-employment hazard of all.... In PAGE 21: ... Dismissed workers are by far the least likely to return. Do the large and significant effects of employment equity on the relative recall rates of men and women found in Table 4 explain the shorter relative unemployment durations of covered women found in Table3 ? To answer this question we simply added a dummy variable for ex post recall into the last specification of the Cox proportional hazard model in Table 3. When we did so, the coefficient on the gender/coverage interaction term essentially goes to zero (i.... ..."

"... In PAGE 10: ... The median durations are about one half the mean, with 50% of spells among men lasting less than 5 months, and among women less than 3 months.16 Table2 decomposes spells by destination state and gender. Among men, 57% of unemployment spells end with a transition into full-time work, and these have the lowest mean and median duration (at 7 months and 4 months).... In PAGE 19: ... Estimation of specification (i) shows that women are significantly more likely to enter part-time work and economic inactivity from unemployment than men, and are less likely to enter self- employment. This corresponds with our descriptions of the raw data in Table2 . Specification (ii) shows that women aged under 25 with no qualifications and no children are significantly less likely than men to enter full-time employment.... ..."

"... In PAGE 14: ... To what extent is this result driven by active migration in response to unemployment, or is it the failure of young unemployed people to leave the home of parents or relatives that is driving the results? The OHS contains information on recent migration (last 12 months) and birthplace migration, but unfortunately does not state reasons for the migration.33 The migration information yields three distinct patterns of migration as shown in Table9 . The first, among those in employment, appear to have moved to set up their own household.... In PAGE 28: ... Table9 : Multinomial Logit Model of Relationship to Household Head, Females (1995) Coefficient Standard Error T-Statistic Coefficient Standard Error T-Statistic Child living with Parents Non-Family, Rural African 1.479 0.... ..."

"... In PAGE 10: ... The unemployment spells are not therefore concentrated among a small number of individuals. Table1 shows that the majority of the spells are experienced by men (1,074, or 62%). The mean duration of these spells is 8 months (9 months for men and 6 months for women).... In PAGE 30: ...Appendix Table1 : Means of covariates by gender Variable Men Women Mean SD Mean SD Duration dummies Month 1 0.103 0.... ..."

"... In PAGE 9: ... First, and most importantly, is the ILO apos;s Yearbook of Labor Statistics data. Data from Table2 -A of the Yearbook -which reports census survey, labor force survey, household survey, and official estimates- was downloaded from the World Bank apos;s BESD on-line database. Only the last observation in the 1980-93 period is used for each country.... In PAGE 9: ... The data give the number of workers in each of 10 industry categories which are aggregated as follows: * Agriculture: Agriculture * Industry: Mining and Quarrying; Manufacturing; Gas, Electricity and WN apos;ater; Con- struction * Services: Trade; Transport; Banking; Commercial Services; Not Adequately Defined or Described Second, these data supplemented with ILO estimates for the distribution of the wvork force across the three sectors in 1990 for a variety of countries in all regions except Latin America and the Caribbean4 - these are recent (current as of May 1995) estimates for 1990. 31n Table2 there are several countries in East and Central Asia (marked with an asterisk) with working age population data not present in Table 1 . These data are derived from a recent update from the ILO which reports decennial population estimates until 1990 for these new countries.... In PAGE 28: ...Table2 continued Year Unemployment Working age Source Incorme rate population group in 1995 _ ~~~~~~~~~(thousanxds) Paraguay 1991 5.1 2,777 r middle El Salvador 1991 7.... In PAGE 29: ...Table2 continued Year Unemployment Working age Source Income rate population group in 1995 (thousands) South Asia Sri Lanka 1991 14.1 11,706 w low Pakistan 1991 6.... ..."

"... In PAGE 29: ...nemployment rate from this sample rose sharply from 5.3 percent in 1992 to 12.1 percent in 1996.24 Table23 shows that women initially made up 57 percent of the unemployed as they predominated in the industries which initially contracted, but by 1995 women constituted only 45 percent of the total unemployed. However, women experienced longer unemployment spells on average, although male durations increased by a greater percentage, closing the gap to 1.... In PAGE 30: ... The duration of unemployment at first interview is included in order to capture heterogeneity among the unemployed. Table23 shows that in 1992 the majority of current unemployment spells were of short duration, with a significant percentage of long-term unemployed, raising the overall average.25 Since 15 percent of unemployed individuals were missing data on the duration of their spell, a dummy variable was included to identify any systematic differences from those with duration data.... ..."