integrated public use microdata series (ipums) current population survey (cps) annual social and economic (asec)  (MicroData Instrument Inc)

Journal: Proceedings of the National Academy of Sciences of the United States of America

Article Title: Initial economic damage from the COVID-19 pandemic in the United States is more widespread across ages and geographies than initial mortality impacts

doi: 10.1073/pnas.2014279117

Figure Lengend Snippet: Excess mortality and economic damage comparison by state. This figure compares excess mortality and the economic impacts of COVID-19 in April 2020; each point is one state. Economic measures are calculated using the IPUMS CPS microdata and mortality measures are calculated using aggregate CDC data. Excess amounts are calculated by comparing observed values in April 2020 to predicted values. Predicted values are calculated using a linear time trend with month fixed effects; the preperiod is 2011 to 2019. The solid line shows the line of best fit from an unweighted regression. Dashed lines show the median value of excess mortality and the excess decline in employment–population ratio.

Article Snippet: Monthly economic data from 2011 to 2020 come from the Integrated Public Use Microdata Series (IPUMS) Current Population Survey (CPS), which harmonizes data across months from the CPS ( ).

Techniques: Comparison

Journal: Proceedings of the National Academy of Sciences of the United States of America

Article Title: Initial economic damage from the COVID-19 pandemic in the United States is more widespread across ages and geographies than initial mortality impacts

doi: 10.1073/pnas.2014279117

Figure Lengend Snippet: Predicted vs. observed outcomes by age group. These figures compare predicted and observed ( A ) mortality per 10,000 and ( B ) employment–population ratio, both in April 2020, for the age groups for which the CDC publishes recent weekly death counts, using point estimates for observed outcomes. The employment–population ratio is calculated using the IPUMS CPS microdata and mortality measures are calculated using aggregate CDC data by age group. Predicted values for each outcome are calculated using a linear time trend with month fixed effects; the preperiod is from 2011 to 2019. Heteroskedasticity-robust SEs to construct 95% confidence intervals are computed with clustering by year.

Article Snippet: Monthly economic data from 2011 to 2020 come from the Integrated Public Use Microdata Series (IPUMS) Current Population Survey (CPS), which harmonizes data across months from the CPS ( ).

Techniques: Construct

Journal: Campbell Systematic Reviews

Article Title: Reducing unemployment benefit duration to increase job finding rates: a systematic review

doi: 10.4073/csr.2018.2

Figure Lengend Snippet:

Article Snippet: Type of data used , Administrative registers , Survey data (p.49) , Microdata (individual level) from monthly survey of household and individuals ‐ The Current Population Survey CPS (p.874). CPS data from January 2000 to February 2005 and from January 2007 to October 2012.

Techniques: Activation Assay, Sampling

Journal: Campbell Systematic Reviews

Article Title: Reducing unemployment benefit duration to increase job finding rates: a systematic review

doi: 10.4073/csr.2018.2

Figure Lengend Snippet:

Article Snippet: Type of data used , Administrative registers , Survey data (p.49) , Microdata (individual level) from monthly survey of household and individuals ‐ The Current Population Survey CPS (p.874). CPS data from January 2000 to February 2005 and from January 2007 to October 2012.

Techniques: Activation Assay, Sampling