******************************************************************** For the three studies ******************************************************************** 1. Download the folder "DATA" 2. Unzip the folder named and create a folder containing all documents 3. Add the correct working directory in the R documents 3a. For PISA 2003, please change the line 118 "#setwd()" in "setwd("*your_working_directory*") in the Study1_DataPreparation_OSF file 3b. For PISA 2012, please change the line 367 "#setwd()" in "setwd("*your_working_directory*") in the Study2a_Hypothesis1b_2b file 3c. For PISA 2015, please change the line 27 "#setwd()" in "setwd("*your_working_directory*") in the Study2b_Hypothesis1b_2b file ******************************************************************** ******************************************************************** WIID_06MAY2020 ==> gini coefficient https://www.wider.unu.edu/data API_NY.GDP.PCAP.KD_DS2_en_csv_v2_1495219 => GDP per capita (constant 2010 US$) https://data.worldbank.org/indicator/NY.GDP.PCAP.KD API_SE.XPD.TOTL.GD.ZS_DS2_en_csv_v2_1495291 => Government expenditure on education, total (% of GDP) https://data.worldbank.org/indicator/SE.XPD.TOTL.GD.ZS API_SP.POP.TOTL_DS2_en_csv_v2_1495124 => Population, total https://data.worldbank.org/indicator/SP.POP.TOTL API_SI.POV.DDAY_DS2_en_csv_v2_1496490 => Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population) https://data.worldbank.org/indicator/SI.POV.DDAY API_SL.UEM.TOTL.ZS_DS2_en_csv_v2_1495168 => Unemployment, total (% of total labor force) (modeled ILO estimate) https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS ******************************************************************** ********************************************************************