Browsing by Subject "workforce"
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Item 2001 Labor Force Assessment Northeast Minnesota(University of Minnesota Duluth, 2001) Lichty, Richard W; Porett, Matthew; Moore, Scott; O'Brien, Maureen; McTavish, Donald G; Skurla, James A; Jacobson, Jean; Almquist-Minko, Vickie; Smith, Eric; Simonson, JeremyItem Addressing Workforce and Economic Development through Regional Collaboration(2018-06) Hawkins, JenniferItem Macroeconomic Model of the Soviet Economy (in the Middle of 1980s and in the Early of 1990s)(University of Minnesota Duluth, 1992) Akulov, Vladimir; Peterson, Jerrold MLately interest in the Soviet Economy has grown. This interest is in part due to the processes proceeding in the country towards the use of markets. The actual disintegration of the USSR as a unitary superpower can't help affecting the world political and military situation. The growth of crisis has in part resulted in economics from the changing structure in the various Republics and this change doesn't promote world economy stability. At present, the world community jointly with the leadership of the Union and the Republics are trying to improve the deteriorating macroeconomic processes in the former USSR. Why did such a dramatic worsening of the economic situation take place in the USSR? Is it a consequence of mistakes in the choice of macroeconomic strategy? Or is there any rational explanation for these developments? These questions are principal for us in this paper. The answer to these questions will enable us to map out concrete measures for alleviating this situation and avoiding repetition of mistakes in the future . For an evaluation of the problem, macroeconomic analysis will be used to analyze the commodity markets, money markets, and labor-force markets. The temporal period, which will be analyzed, will cover the last five to six years. However, 1985 became the turning point for macroeconomic development of the Soviet Union because the "acceleration conception" (perestroika) was proclaimed just that year (kohyenyue yckoperue).Item Measuring the Impacts of Career Training on the Economy(University of Minnesota Duluth, 2024) Haynes, Monica; Chiodi Grensing, Gina; Ahmen, Mahad; Bakken, Mitchell; Wenginger, AveryThe Housing and Redevelopment Authority of Duluth, Minnesota (HRA) and True North Goodwill both have several career-training programs designed to bring individuals into the labor market and build career pathways for in-demand jobs. The two organizations asked the UMD Labovitz School of Business and Economics’ research bureau, the Bureau of Business and Economic Research (BBER), to estimate the economic value of career advancement in the context of moving individuals and families from public assistance to a career. Many career training programs are designed to serve low-income individuals—the same individuals most likely to receive public assistance. Research has found that adults and children who live in low-income households are more likely to face difficult circumstances like homelessness, unsafe neighborhoods, food insecurity, and inadequate health care. The authors added that these unfavorable circumstances have detrimental effects on children, including low academic performance and mental health issues. Job training can provide numerous benefits for the participants. A study by Katz and colleagues (2022) found that sector-focused training programs generated substantial earnings gains (12%-34%) for participants. But research has also found that benefits extend beyond the individuals. A 2020 study conducted by Gasper et al. examined seven types of training programs in New York City. According to the study’s authors, investing one dollar in industry-focused career training yielded “between $2.80 and $17.78 after five years compared to if that dollar had been invested in a standard job screening and matching program.” This study estimated the financial benefits of two career scenarios—Scenario 1, which represented a full-time career as a construction laborer, and Scenario 2, which represented a full-time career as a registered nurse—using data from the Career Ladder Identifier and Financial Forecaster (CLIFF) portal's Snapshot and Dashboard tools. Data was collected and analyzed to compare the two career scenarios and a baseline scenario (a part-time cashier job). The study analyzed the earnings and public assistance benefits for a single adult living in St. Louis County, Minnesota, for 35 years, during which the adult's age ranged from 30 to 64 and who had an infant (age 0). Over the course of their lifetime, the person working as a part-time cashier will earn roughly $460,000 in after-tax income, defined as earnings minus taxes paid. By comparison, the person working as a construction laborer or a registered nurse will earn roughly $1.5 million and $1.9 million, respectively. Additionally, the person working as a part-time cashier could receive roughly $733,700 in public assistance benefits over the 35-year period, whereas the person working as a construction laborer or registered nurse could receive $127,300 and $132,500, respectively. For both career scenarios (construction laborer and registered nurse), state and federal government programs could save more than $600,000 in public assistance benefits over the course of the person’s working lifetime, as compared to working as a part-time cashier. The largest public assistance savings would come from the Medicaid program ($217,000 in savings), followed by Section 8/housing assistance ($182,500), SNAP ($141,200), and childcare assistance ($36,900). Lifetime savings from the Minnesota Family Investment Program (MFIP) would equal roughly $28,700. The financial benefits estimated in this analysis were also used to model the economic impacts of Scenarios 1 and 2 on the state’s economy overall. The results of modeling found that the economic impacts to the state resulting from the career advancement of just one individual with our parameters exceed the financial benefits to the individual. For example, the person choosing a career as a registered nurse would see a cumulative increase in their net financial resources of $889,400. Yet, the state would see economic impacts of more than $1.1 million because of increasing the person’s household income.Item Northeast Minnesota Skills Assessment(University of Minnesota Duluth, 1998) Lichty, Richard W; Jesswein, Wayne A; McTavish, Donald G; Jacobson, Jean; Amundsen, Sheilagh; Zelenak, Jennifer; Heyne, Mark; Barkataki, Monali; Barkataki, Sharad; Naimpally, Amrita; Frantzen, Ryan; Kukanich, SusanItem To Identify In-State Expansion/Out-of-State Attraction Prospects for Minnesota Report 2(University of Minnesota Duluth, 1996) Knudsen, Kjell R; Lichty, Richard W; Jacobson, Jean; Zelenak, Jennifer; Granley, JeredItem Under, Over, and Mismatched Skills Employment in Northeast Minnesota(University of Minnesota Duluth, 2005) Skurla, James A; Lichty, Richard W; O'Brien, Maureen; McTavish, Donald G; Jacobson, Jean; Malik, Nitya; Williams, Joshua; Almquist-Minko, VickieThis survey project collected data from households in seven counties of Northeast Minnesota, Crow Wing County, and the Port Cities of Duluth and Superior, WI, in order to study the current labor force and report on workers who might be available, under what conditions, and how they can be found. The report includes descriptions of survey findings, preliminary analysis of the data, and comparisons within the data. Factors in the better use of the effective labor force are also discussed. The first section of the report summarizes the report which is detailed in sections B and C. The appendix includes detailed tables that provide comparisons between under-employment, over-employment and mis-matched employment, plus tables contrasting characteristics of all employed and all unemployed.