Hi all,
I am examining how job security perception updating in response to unemployment rate shocks differ by mental health status. I have so far used fixed effects linear regression models, regressing job security satisfaction ratings (ranging from 0-10) on the past 6-month average local unemployment rate (a continuous variable), including individual, region, and year fixed effects, and estimating separate models by mental health status, defined as a dummy variable indicating poor or fair mental health.
I am also interested in looking into whether any of the new difference-in-differences models with continuous treatment versions would be applicable in this case, where all individuals would be treated but with different intensities over time? But I am unsure of a specific approach that I can use. Would anyone familiar with these new methods be able to provide any guidance?
Thank you very much.
I am examining how job security perception updating in response to unemployment rate shocks differ by mental health status. I have so far used fixed effects linear regression models, regressing job security satisfaction ratings (ranging from 0-10) on the past 6-month average local unemployment rate (a continuous variable), including individual, region, and year fixed effects, and estimating separate models by mental health status, defined as a dummy variable indicating poor or fair mental health.
I am also interested in looking into whether any of the new difference-in-differences models with continuous treatment versions would be applicable in this case, where all individuals would be treated but with different intensities over time? But I am unsure of a specific approach that I can use. Would anyone familiar with these new methods be able to provide any guidance?
Thank you very much.
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