This Dataverse contains research using the MINCOME Data as well as working papers and technical advice on using the data.
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1 to 4 of 4 Results
Apr 10, 2019
Anderson, Andy; Wright, James; and Weber-Burdin, Eleanor, 2019, "Problems in Constructing Time Series Files from Mincome Data", https://doi.org/10.5203/FK2/E1ZYVZ, Borealis, V1
This report discusses the challenges that researchers face in using the Mincome data, especially with respect to creating time series and panel data.
Apr 10, 2019
Prescott, David; Swidinsky, Robert; and Wilton, David, 2019, "Labour supply estimates for low-income female heads of households using Mincome data", https://doi.org/10.5203/FK2/7DTNTB, Borealis, V1
This study revealed that female labour supply is negatively conditioned by cost of childcare, the household income and the income of the husband (if present). The presence of younger children also discourages labour force participation, but not the presence of older children.
Apr 10, 2019
Podoluk, Jenny, 2019, "Review of the Mincome Manitoba Data as a Research Tool", https://doi.org/10.5203/FK2/7SIOVG, Borealis, V1
This study presents the challenges in using Mincome data, buy affirms its "unique value."
Apr 10, 2019
Hum, Derek and Simpson, W., 2019, "Income Maintenance, Work Effort, and the Canadian Mincome Experiment", https://doi.org/10.5203/FK2/EBXNDT, Borealis, V1
This is the definitive analysis of the labour supply impacts of the Mincome experiment. It discusses the econometric methods needed to estimate labour supply elasticities in response to varying support levels and offset taxation.
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