Employment-Low-Unfavorable impacts

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Displaying 1 - 10 of 37

States Taking the Reins? Employment Verification Requirements and Local Labor Market Outcomes (No. w26676) (Ayromloo et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of state mandates requiring E-Verify for new hires on employment and compliance outcomes.The study used a difference-in-differences analysis to examine…
From college to career: Connecting student participation in work-integrated learning with employment outcomes (Kepple, 2023)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of work-integrated learning (WIL) on employment. The study used a nonexperimental design to determine whether participation in WIL predicted…
The effects of need-based financial aid on employment and earnings: Experimental evidence from the Fund for Wisconsin Scholars [Four-Year College Student Sample] (Carlson et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Fund for Wisconsin Scholars (FFWS) on employment and earnings. This profile focuses on the outcomes for students enrolled in four-year colleges…
The Effects of Work Life Policies: Teleworking and paid family leave (Chang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the 2004 California Paid Family Leave (CA-PFL) program on young women’s employment and wages. The other chapters of the study are linked here:…
Does tax increment financing pass the “but-for” test in Missouri? (El-Khattabi & Lester, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of tax increment financing (TIF) on employment in St. Louis, Missouri. The authors investigated similar research questions for Kansas City, Missouri,…
Evaluation of customized employment in building the capacity of the workforce development system (Elinson et al. 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of customized employment services for disabled adults on earnings and employment. Using administrative data, the authors compared employment and…
The effect of changing employers’ access to criminal histories on ex-offenders’ labor market outcomes: Evidence from the 2010-2012 Massachusetts CORI Reform (Jackson & Zhao 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The state of Massachusetts, as part of the Criminal Offender Record Information (CORI) Reform, implemented a policy change known as Ban the Box, which refers to a box job seekers would check to…
Net impact and benefit-cost estimates of the workforce development system in Washington state. (Upjohn Institute Technical Report No. 13-029). [Private career school programs] (Hollenbeck & Huang 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of private career schools’ programs on the employment rate, earnings, and benefit receipt of adults who completed high school in Washington State. The…
Essays on the Effects of Public Policies on Housing, Employment, and Income Inequality. (Publication No. 28777370) (Pardue, 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Paycheck Protection Program (PPP) on employment outcomes among small businesses.The study was a nonexperimental design that used data from a…
Essays on the Effects of Public Policies on Housing, Employment, and Income Inequality (Publication No. 28777370) (Pardue, 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Paycheck Protection Program (PPP) on employment outcomes among small businesses.The study was a nonexperimental design that used data from a…

CLEAR Icon Key

Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.

High Causal Evidence

Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence

Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence

Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis

Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis

Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis

Examines the implementation of a program, policy, or intervention.
Favorable

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed

The study found some favorable and some unfavorable impacts in the outcome domain.
None

The study found no statistically significant impacts in the outcome domain.
Unfavorable

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable

Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence

The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence

The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.