Here you find codes in Stata, R, SPSS or SAS to construct the class scheme that I discuss and apply to different surveys. If you need to write your own code, the Excel sheets below show how occupations are assigned to classes.
For Stata, Simon Kaiser (University of Bern) has written the module “oesch”, which creates my class scheme (use the commands “ssc install oesch” and “help oesch”). You can also use the Stata module “iscogen” written by Ben Jann (University of Bern); it provides a cross-walk between ISCO-08, ISCO-88 and ISCO-68 and also constructs the class scheme. For R, the same module is available, having been translated as DIGCLASS package (by the EU-JRC DIGCLASS team).
For the hierarchical scale that measures occupations’ earning potential OEP (discussed here), you can download the Excel files that create the OEP values for occupations measured by ISCO-08 at the 4-digit, 3-digit, 2-digit and 1-digit levels. Likewise, you find here the OEP values for ISCO-88 at the 4-digit, 3-digit, 2-digit and 1-digit levels.
Occupations (ISCO) into classes
Excel for occupations measured with ISCO-08 (4-digits)
Excel for occupations measured with ISCO-08 (2-digits)
Excel for occupations measured with ISCO-88 (4-digits)
Excel for occupations mesured with ISCO-88 (2-digits)
European Social Survey (ESS)
For a summary of my class schema and its coding in the ESS, see pdf 
ESS 2002-2006 (rounds 1 to 3) in Stata
ESS 2008-2010 (rounds 4 and 5) in Stata
ESS 2012-2020 (rounds 6 to 10) in Stata
ESS 2002-2010 (rounds 1 to 5) in R or in SPSS
ESS 2012-2020 (rounds 6 to 10) in R or in SPSS
International Social Survey Programme (ISSP) + MOSAiCH
ISSP 1987-2013 (+ cumulated dataset on Social Inequalities) in Stata with a table for variable names
ISSP 2014-2017 in Stata
ISSP 2010, 2011 in SPSS
MOSAiCH-ISSP 2017 in Stata (for Switzerland)
MOSAiCH-ISSP 2019 in Stata (for Switzerland)
MOSAiCH-ISSP 2022 in R (for Switzerland)
German Socio-Economic Panel (SOEP)
SOEP (CNEF equivalent file, all availables waves) in Stata
Swiss Household Panel (SHP)
SHP 1999 up to latest wave in Stata
SHP 1999 up to latest wave in SPSS
SHP 1999 up to latest wave in SAS
Swiss Election Studies (SELECTS)
SELECTS 2019 in Stata, R or SPSS
SELECTS 2015 in Stata, R or SPSS
SELECTS 2011 in SPSS
SELECTS 2007 in SPSS
SELECTS 2003 in SPSS
SELECTS 1999 in SPSS
SELECTS 1995 in SPSS
Luxembourg Income Study (LIS)
Create a hierarchical 4-class variable for many countries and years in R