I'm currently working on a project that examines the impact of Chief Sustainability Officer (CSO) presence on the relationship between pension (hard freezes) and CSR disclosures.
The design follows a published study framework, where the treatment sample includes the two years before and two years after each firm’s freeze event.
The design follows a published study framework, where the treatment sample includes the two years before and two years after each firm’s freeze event.
- Hard Freeze: An indicator variable equal to 1 if a firm freezes its defined benefit pension plan for all employees, and 0 otherwise. Firm-year observations after the freeze year for freeze firms are excluded from all analyses.
- CSO: A binary variable equal to 1 if the firm has a Chief Sustainability Officer, and 0 otherwise.
- FREEZE: Coded as 1 for firms that announce a DB pension freeze during the sample period.
- POST: Equals 1 for the year of the pension freeze and the two years following it, and 0 otherwise.
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----------------------- copy starting from the next line ----------------------- [CODE] * Example generated by -dataex-. For more info, type help dataex clear input long id float(year hardfreezes freeeze posts postsXfreeze) 2 2004 0 0 0 0 2 2005 0 0 0 0 2 2006 0 0 0 0 2 2007 0 0 0 0 2 2008 0 0 0 0 2 2009 0 0 0 0 2 2010 0 0 0 0 2 2011 0 0 0 0 2 2012 0 0 0 0 2 2013 0 0 0 0 2 2014 0 0 0 0 2 2015 0 0 0 0 2 2016 0 0 0 0 2 2017 0 0 0 0 2 2018 0 0 0 0 2 2019 0 0 0 0 2 2020 0 0 0 0 2 2021 0 0 0 0 2 2022 0 0 0 0 3 2004 0 1 . . 3 2005 0 1 . . 3 2006 0 1 . . 3 2007 0 1 . . 3 2008 0 1 . . 3 2009 0 1 . . 3 2010 0 1 0 0 3 2011 0 1 0 0 3 2012 1 1 1 1 3 2013 . 1 1 1 3 2014 . 1 1 1 3 2015 . 1 . . 3 2016 . 1 . . 3 2017 . 1 . . 3 2018 . 1 . . 3 2019 . 1 . . 3 2020 . 1 . . 3 2021 . 1 . . 3 2022 . 1 . . 4 2004 . . . . 4 2005 . . . . 4 2006 . . . . 4 2007 . . . . 4 2008 . . . . 4 2009 . . . . 4 2010 . . . . 4 2011 . . . . 4 2012 . . . . 4 2013 . . . . 4 2014 . . . . 4 2015 . . . . 4 2016 . . . . 4 2017 . . . . 4 2018 . . . . 4 2019 . . . . 4 2020 . . . . 4 2021 . . . . 4 2022 . . . . 5 2004 . . . . 5 2005 . . . . 5 2006 . . . . 5 2007 . . . . 5 2008 . . . . 5 2009 . . . . 5 2010 . . . . 5 2011 . . . . 5 2012 . . . . 5 2013 . . . . 5 2014 . . . . 5 2015 . . . . 5 2016 . . . . 5 2017 . . . . 5 2018 . . . . 5 2019 . . . . 5 2020 . . . . 5 2021 . . . . 5 2022 . . . . 6 2004 0 0 0 0 6 2005 0 0 0 0 6 2006 0 0 0 0 6 2007 0 0 0 0 6 2008 0 0 0 0 6 2009 0 0 0 0 6 2010 0 0 0 0 6 2011 0 0 0 0 6 2012 0 0 0 0 6 2013 0 0 0 0 6 2014 0 0 0 0 6 2015 0 0 0 0 6 2016 0 0 0 0 6 2017 0 0 0 0 6 2018 0 0 0 0 6 2019 0 0 0 0 6 2020 0 0 0 0 6 2021 0 0 0 0 6 2022 0 0 0 0 8 2004 0 0 0 0 8 2005 0 0 0 0 8 2006 0 0 0 0 8 2007 0 0 0 0 8 2008 0 0 0 0 end label values id id label def id 2 "A", modify label def id 3 "AAL", modify label def id 4 "AAP", modify label def id 5 "AAPL", modify label def id 6 "ABBV", modify label def id 8 "ABT", modify [/CODE] ------------------ copy up to and including the previous line ------------------ Listed 100 out of 8829 observations Use the count() option to list more