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Related Studies

Displaying 111 - 120 of 184
259

Thaler, R., & Benartzi, S. (2004). Save More Tomorrow™: Using behavioral economics to increase employee saving. Journal of Political Economy, 112(S1), S164-S187.

  • Topic Area: Behavioral Finance: Retirement

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Employer provided retirement benefits

399

Choi, J., Laibson, D., Madrian, B., and Metrick, A. (2004). Saving for retirement on the path of least resistance. Working paper. Cambridge, MA.

  • Topic Area: Behavioral Finance: Retirement

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Employer provided retirement benefits

383

Beshears, J., Choi, J., Laibson, D., & Madrian, B. (2010). Simplification and saving. Cambridge, MA: National Bureau of Economic Research.

  • Topic Area: Behavioral Finance: Retirement

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Employer provided retirement benefits

262

Choi, J., Haisley, E., Kurkoski, J., & Massey, C. (2012). Small cues change savings choices. National Bureau of Economic Research working paper 17843. Cambridge, MA: NBER.

  • Topic Area: Behavioral Finance: Retirement

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Employer provided retirement benefits

1803
Kattih, N., Mansour, F., & Mixon, F. G. (2019). Small firms, bigger changes: Health insurance coverage take-up rates in small firms after the ACA. Applied Economics, 51(54), 5878–5889. doi:10.1080/00036846.2019.1630710

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Compensation and Workplace Conditions Wages and Benefits Health insurance

1796
Morrill, M. S., & Westall, J. (2019). Social security and retirement timing: Evidence from a national sample of teachers. Journal of Pension Economics and Finance, 18, 549–564.
  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Compensation and Workplace Conditions Wages and Benefits Federal retirement benefits

381

Porter, A., Smith, J., Payette, A., Tremblay, T., & Burt, P. (2009). SSDI '1 for 2:' Benefit Offset Pilot Demonstration Vermont Pilot Final Report. Waterbury, VT: Vermont Division of Vocational Rehabilitation.

  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Disability insurance Supplemental security income (SSI) Other employment and reemployment

442

Peikes, D., Orzol, S., Moreno, L., & Paxton, N. (2005). State Partnership Initiative: Selection of comparison groups for the evaluation and selected impact estimates: Final report. Princeton, NJ: Mathematica Policy Research.

  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Supplemental security income (SSI) Disability insurance

438

Chambless, C., Julnes, G., McCormick, S., & Reither, A. (2011). Supporting work effort of SSDI beneficiaries: Implementation of Benefit Offset Pilot Demonstration. Journal of Disability Policy Studies, 22(3), 179-188.

  • Topic Area: Disability Employment Policy

Study Type: Implementation Analysis

Outcome Effectiveness:

Disability insurance Vocational rehabilitation

297

Delin, B., Hartman, E., Sell, C., & Brown-Reither, A. (2010). Testing a SSDI Benefit Offset: Evaluations of the Wisconsin SSDI Employment Pilot. Menomonie, WI: University of Wisconsin-Stout.

  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Disability insurance Other wages and benefits Supplemental security income (SSI)