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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 74 <br /> <br /> <br />idleness. Positive effects on absenteeism and worker engagement would add to the productivity <br />improvement. <br />20 Taylor and Houthakker’s industry elasticities are based on regressions of U.S. panel data <br />across over 300 cities and pooled over 1996-99. As we discuss below in Section 5.5, we do not <br />expect that a substantial component of consumer sales will move outside the state’s borders. Liu <br />and Chollet (2006)’s review essay suggests that the price elasticity of demand for out-of-pocket <br />individual healthcare expenses is -0.2. Our health care elasticity recognizes that employers shift <br />their cost of health care on to employees. We also recognize that for those with subsidized <br />coverage, increases in premium costs for lower-income families—who are more price-sensitive— <br />are borne by the federal government. <br />21 Annual consumer spending for San Jose (respectively Santa Clara County) is estimated at 58.8 <br />percent of IMPLAN’s estimated GDP for San Jose (respectively Santa Clara County). This <br />percentage excludes the government share of health care costs. <br />22 IMPLAN household spending model (proportional to city consumer spending patterns by <br />household income level), using reduced consumer spending in Row 3 and forcing IMPLAN to <br />apply 100 percent of the reduction in the city; see the appendix for details on IMPLAN modeling. <br />23 This includes an offset of 4.20 percent for reduction in SNAP, and 2.3 percent in lower <br />premium tax credits and cost sharing subsidies under the ACA (Congressional Budget Office <br />2012). We also reduce the aggregate increase in wages by lost earnings due to estimated job <br />loss in Panel A. This offset may be too high. According to Chodorow-Reich and Karabarbounis <br />(2015), the consumption expenditures of the unemployed equal 75 percent of the consumption <br />expenditures of the employed, even after taking into account the limited duration of <br />unemployment insurance benefits. Their result echoes a similar result by Aguiar and Hurst (2005) <br />for food expenditures only. <br />24 IMPLAN household income model for New York State, using net wage increase from Row 5 and <br />subtracting net wage increase going to affected workers who live outside New York State; see <br />Appendix A2 and Day (2013) for more details on IMPLAN. The net wage increase is distributed <br />across household income categories by the household distribution of increased wages from the <br />minimum wage increase. Our wage simulation model estimates that 6.6 percent of increased <br />wages will go to workers living outside the state. <br />25 IMPLAN household income model for New York State, using net wage increase from Row 5 and <br />subtracting net wage increase going to affected workers who live outside New York State; see <br />Appendix A2 and Day (2013) for more details on IMPLAN. The net wage increase is distributed <br />across household income categories by the household distribution of increased wages from the <br /> <br />8.A. - Page 88
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