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AgdaPkt 2017-09-25 Closed and Joint SA PFA
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AgdaPkt 2017-09-25 Closed and Joint SA PFA
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Last modified
9/26/2017 8:58:20 AM
Creation date
9/21/2017 12:45:28 PM
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CC Index
CC Index - Document Type
Agenda Packet
Meeting Type
Joint
Agency Type
City Council and Successor Agency and Public Financing Authority
Date
9/25/2017
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<br /> <br />The Effects of a $15 Minimum Wage by 2019 in Santa Clara County and San Jose 22 <br /> <br />3. EFFECTS ON WORKERS <br />We begin by analyzing the effects of the Scenario A (San Jose) and Scenario B (Santa Clara <br />County) minimum wage increases on workers. To estimate these effects, we use publicly- <br />available government datasets to model (a) the number of workers who would receive pay <br />increases under the two minimum wage scenarios and (b) the size of those wage increases. We <br />exclude federal and state government employees, local school district employees, In Home <br />Supportive Services (IHSS) workers, and self-employed workers from our analysis, since those <br />groups of workers would not be eligible for local minimum wage laws. <br />Specifically, for each scenario, our model produces two different simulations of the future wage <br />distribution. First, we conduct a baseline simulation, in which we assume that the minimum wage <br />will increase each year according to minimum wage laws that are already in effect (see Tables 1 <br />and 2 above). For Scenario B (Santa Clara County), we assume that cities that do not have their <br />own minimum wage law will follow the state minimum wage schedule in effect as of January 1, <br />2016 (again, this analysis does not take into account the new state minimum wage law signed in <br />April 2016). Second, we conduct a simulation that models the future wage distribution under <br />each of the two minimum wage increase scenarios. <br />We then compare the baseline and scenario simulations and estimate, for each yearly phase-in <br />step, the number of workers that would be affected by the scenario and the additional wages <br />they would receive as a result, above and beyond any currently scheduled minimum wage <br />increases. In constructing these estimates, our model adjusts for expected growth in <br />employment, wages and inflation over time. Our estimates also take into account what is often <br />referred to as a “ripple” or “compression” effect: workers who make slightly more that the <br />scenario minimum wage are also likely to receive wage increases. More information on our <br />methodology is available in Appendix A1. <br />3.1 Workforce Impacts <br />Table 3 shows the estimated number and percentage of eligible workers affected under Scenario <br />A (San Jose) and Scenario B (Santa Clara County). Under Scenario A, we estimate that 115,000 <br />workers in San Jose will receive a pay raise by 2019, or about 31.1 percent of the eligible <br />workforce. Of these, 92,000 are directly affected workers (earning less than $15 per hour when <br />the scenario would be fully implemented in 2019) and 23,000 are indirectly affected (earning <br />slightly more than $15 per hour when the scenario would be fully implemented in 2019). <br />Under Scenario B, 250,000 workers, or about 25.3 percent of the eligible workforce in Santa <br />Clara County, would receive a pay raise by 2019. Of these, 198,000 are directly affected workers <br />and 52,000 are indirectly affected workers. Estimates for Santa Clara County include San Jose. <br />8.A. - Page 36
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