improve Giuliano 2013 source description

docs/mw_owe_database.csv

@@ -41,7 +41,7 @@ Dustmann Lindner Schönberg Umkehrer Berge 2022,dlsub_2022_qje,0.03,0.12,-0.205,
 Eriksson and Pytlikova 2004,ep_2004_labour,0.024,0.152,-0.274,0.322,Positive,Low wage firms,1,0,0,Czech and Slovak Republics,1,1,1,Tor Eriksson and Mariola Pytlikova,2004,Firm-level Consequences of Large Minimum-wage Increases in the Czech and Slovak Republics,LABOUR,https://doi.org/10.1111/j.1121-7081.2004.00259.x,"Weighted average of the reported own-wage elasticities in Tables 6 and 7. Czec OWE is the simple average of four OWE estimates in columns three and four of Table 6, Panel 1 (two-thirds) Total and Panel 2 (wage gap). Slovak OWE is the simple average of four OWE estimates in columns three and four of Table 7, Panel 1 (two-thirds) Total and Panel 2 (wage gap). We then report a weighted average of these two country-specific OWEs, where the weights are the total 1998 employment sizes reported in Table 4 (Czech) and Table 5 (Slovak).",0.15.0
 Even and Macpherson 2014,em_2014_sej,-0.782,0.288,-1.346,-0.217,Medium negative,Restaurants,0,0,1,US,0,0,1,William E. Even and David A. Macpherson,2014,The Effect of the Tipped Minimum Wage on Employees in the U.S. Restaurant Industry,Southern Economic Journal,https://doi.org/10.4284/0038-4038-2012.283,"Sum of the headline and tipped wage and employment elasticities to approximate the effect of a marginal increase in both the headline and tipped minimum wage. Wage elasticities from Table 1 and employment elasticities from Table 2, using specification 1 (Full service, 1990:1 to 2011:4, no state-specific time trends), rows ""Log of Tipped Minimum Wage"" and ""Log of Minimum Wage"". Standard errors assume no covariance between the tipped and headline minimum wage effect estimates. Standard errors calculated from t-statistics assuming normal distribution.",0.15.0
 Gittings and Schmutte 2016,gs_2016_ilrr,0,0.75,-1.47,1.47,Positive,Teens,0,1,0,US,0,0,1,R. Kaj Gittings and Ian M. Schmutte,2016,"Getting Handcuffs on an Octopus: Minimum Wages, Employment, and Turnover",ILR Review,https://doi.org/10.1177/0019793915623519,"Earnings elasticity from Table 4, Panel A, specification ""Log (earnings)"". Employment semi-elasticity from Table 4, Panel A, specification ""Employment / Population"", divided by 0.28, the mean QWI Teen end-of-quarter EPOP from Table 1.",0.15.0
-Giuliano 2013,giuliano_2013_jole,-0.59,0.613,-1.791,0.611,Medium negative,"Teens, Retail",0,1,1,US,0,1,1,Laura Giuliano,2013,"Minimum Wage Effects on Employment, Substitution, and the Teenage Labor Supply: Evidence from Personnel Data",Journal of Labor Economics,https://doi.org/10.1086/666921,"Own-wage elasticity reported in Table 4, column 6. Standard error calculated using our usual approximation, dividing Table 4 employment effect by Table 1, All stores FTE mean.",0.15.0
+Giuliano 2013,giuliano_2013_jole,-0.59,0.613,-1.791,0.611,Medium negative,"Teens, Retail",0,1,1,US,0,1,1,Laura Giuliano,2013,"Minimum Wage Effects on Employment, Substitution, and the Teenage Labor Supply: Evidence from Personnel Data",Journal of Labor Economics,https://doi.org/10.1086/666921,"Own-wage elasticity reported in Table 4, column 6. To calculate the standard error, we use the reported employment and wage elasticities and their standard errors. Wage elasticity from Table 4, column 6, row 1. Employment semi elasticity from Table 4, row 2, column 6 divided by the Table 1, All Stores FTE mean of 14.7.",0.15.0
 Giupponi Joyce Lindner Waters Wernham Xu 2024,gjlwwx_2024_jole,-0.2,0.32,-0.827,0.427,Small negative,Overall,1,0,0,UK,0,1,1,"Giulia Giupponi, Robert Joyce, Attila Lindner, Tom Waters, Thomas Wernham and Xiaowei Xu",2024,The Employment and Distributional Impacts of Nationwide Minimum Wage Changes,Journal of Labor Economics,https://doi.org/10.1086/728471,"Own-wage elasticity reported in Table 2, Panel A.",0.15.0
 Godoey and Reich 2021,gr_2021_ir,0.124,NA,NA,NA,Positive,High school or less,1,0,0,US,0,1,1,Anna Godoey and Michael Reich,2021,Are Minimum Wage Effects Greater in Low-Wage Areas?,Industrial Relations,https://doi.org/10.1111/irel.12267,"Own-wage elasticity reported in Table A2, sample: High school or less, specification 1 (All).",0.15.0
 Godøy Reich Wursten Allegretto 2024,grwa_2024_jhr,0.09,0.41,-0.714,0.894,Positive,Low wage jobs,1,0,0,US,0,1,1,"Anna Godøy, Michael Reich, Jesse Wursten and Sylvia Allegretto",2024,Parental Labor Supply: Evidence from Minimum Wage Changes,The Journal of Human Resources,https://doi.org/10.3368/jhr.1119-10540R2,"Own-wage elasticity reported in Table 2, column ""Any, Any"".",0.15.0

mw_owe_database.csv

@@ -41,7 +41,7 @@ Dustmann Lindner Schönberg Umkehrer Berge 2022,dlsub_2022_qje,0.03,0.12,-0.205,
 Eriksson and Pytlikova 2004,ep_2004_labour,0.024,0.152,-0.274,0.322,Positive,Low wage firms,1,0,0,Czech and Slovak Republics,1,1,1,Tor Eriksson and Mariola Pytlikova,2004,Firm-level Consequences of Large Minimum-wage Increases in the Czech and Slovak Republics,LABOUR,https://doi.org/10.1111/j.1121-7081.2004.00259.x,"Weighted average of the reported own-wage elasticities in Tables 6 and 7. Czec OWE is the simple average of four OWE estimates in columns three and four of Table 6, Panel 1 (two-thirds) Total and Panel 2 (wage gap). Slovak OWE is the simple average of four OWE estimates in columns three and four of Table 7, Panel 1 (two-thirds) Total and Panel 2 (wage gap). We then report a weighted average of these two country-specific OWEs, where the weights are the total 1998 employment sizes reported in Table 4 (Czech) and Table 5 (Slovak).",0.15.0
 Even and Macpherson 2014,em_2014_sej,-0.782,0.288,-1.346,-0.217,Medium negative,Restaurants,0,0,1,US,0,0,1,William E. Even and David A. Macpherson,2014,The Effect of the Tipped Minimum Wage on Employees in the U.S. Restaurant Industry,Southern Economic Journal,https://doi.org/10.4284/0038-4038-2012.283,"Sum of the headline and tipped wage and employment elasticities to approximate the effect of a marginal increase in both the headline and tipped minimum wage. Wage elasticities from Table 1 and employment elasticities from Table 2, using specification 1 (Full service, 1990:1 to 2011:4, no state-specific time trends), rows ""Log of Tipped Minimum Wage"" and ""Log of Minimum Wage"". Standard errors assume no covariance between the tipped and headline minimum wage effect estimates. Standard errors calculated from t-statistics assuming normal distribution.",0.15.0
 Gittings and Schmutte 2016,gs_2016_ilrr,0,0.75,-1.47,1.47,Positive,Teens,0,1,0,US,0,0,1,R. Kaj Gittings and Ian M. Schmutte,2016,"Getting Handcuffs on an Octopus: Minimum Wages, Employment, and Turnover",ILR Review,https://doi.org/10.1177/0019793915623519,"Earnings elasticity from Table 4, Panel A, specification ""Log (earnings)"". Employment semi-elasticity from Table 4, Panel A, specification ""Employment / Population"", divided by 0.28, the mean QWI Teen end-of-quarter EPOP from Table 1.",0.15.0
-Giuliano 2013,giuliano_2013_jole,-0.59,0.613,-1.791,0.611,Medium negative,"Teens, Retail",0,1,1,US,0,1,1,Laura Giuliano,2013,"Minimum Wage Effects on Employment, Substitution, and the Teenage Labor Supply: Evidence from Personnel Data",Journal of Labor Economics,https://doi.org/10.1086/666921,"Own-wage elasticity reported in Table 4, column 6. Standard error calculated using our usual approximation, dividing Table 4 employment effect by Table 1, All stores FTE mean.",0.15.0
+Giuliano 2013,giuliano_2013_jole,-0.59,0.613,-1.791,0.611,Medium negative,"Teens, Retail",0,1,1,US,0,1,1,Laura Giuliano,2013,"Minimum Wage Effects on Employment, Substitution, and the Teenage Labor Supply: Evidence from Personnel Data",Journal of Labor Economics,https://doi.org/10.1086/666921,"Own-wage elasticity reported in Table 4, column 6. To calculate the standard error, we use the reported employment and wage elasticities and their standard errors. Wage elasticity from Table 4, column 6, row 1. Employment semi elasticity from Table 4, row 2, column 6 divided by the Table 1, All Stores FTE mean of 14.7.",0.15.0
 Giupponi Joyce Lindner Waters Wernham Xu 2024,gjlwwx_2024_jole,-0.2,0.32,-0.827,0.427,Small negative,Overall,1,0,0,UK,0,1,1,"Giulia Giupponi, Robert Joyce, Attila Lindner, Tom Waters, Thomas Wernham and Xiaowei Xu",2024,The Employment and Distributional Impacts of Nationwide Minimum Wage Changes,Journal of Labor Economics,https://doi.org/10.1086/728471,"Own-wage elasticity reported in Table 2, Panel A.",0.15.0
 Godoey and Reich 2021,gr_2021_ir,0.124,NA,NA,NA,Positive,High school or less,1,0,0,US,0,1,1,Anna Godoey and Michael Reich,2021,Are Minimum Wage Effects Greater in Low-Wage Areas?,Industrial Relations,https://doi.org/10.1111/irel.12267,"Own-wage elasticity reported in Table A2, sample: High school or less, specification 1 (All).",0.15.0
 Godøy Reich Wursten Allegretto 2024,grwa_2024_jhr,0.09,0.41,-0.714,0.894,Positive,Low wage jobs,1,0,0,US,0,1,1,"Anna Godøy, Michael Reich, Jesse Wursten and Sylvia Allegretto",2024,Parental Labor Supply: Evidence from Minimum Wage Changes,The Journal of Human Resources,https://doi.org/10.3368/jhr.1119-10540R2,"Own-wage elasticity reported in Table 2, column ""Any, Any"".",0.15.0

mw_owe_database_tidy.csv

@@ -900,7 +900,7 @@ giuliano_2013_jole,year,2013
 giuliano_2013_jole,title,"Minimum Wage Effects on Employment, Substitution, and the Teenage Labor Supply: Evidence from Personnel Data"
 giuliano_2013_jole,journal,Journal of Labor Economics
 giuliano_2013_jole,url,https://doi.org/10.1086/666921
-giuliano_2013_jole,source,"Own-wage elasticity reported in Table 4, column 6. Standard error calculated using our usual approximation, dividing Table 4 employment effect by Table 1, All stores FTE mean."
+giuliano_2013_jole,source,"Own-wage elasticity reported in Table 4, column 6. To calculate the standard error, we use the reported employment and wage elasticities and their standard errors. Wage elasticity from Table 4, column 6, row 1. Employment semi elasticity from Table 4, row 2, column 6 divided by the Table 1, All Stores FTE mean of 14.7."
 giuliano_2013_jole,data_version,0.15.0
 gjlwwx_2024_jole,study,Giupponi Joyce Lindner Waters Wernham Xu 2024
 gjlwwx_2024_jole,owe_b,-0.2

sheet_estimates.csv

@@ -40,7 +40,7 @@ dz_2015_wp,0.266,0.06249999999999999,-0.036,0.06556122448979593,NA,NA,Teens,0,"E
 em_2014_sej,0.197,0.0309588853142039,-0.154,0.0513097153265079,NA,NA,Restaurants,0,"Sum of the headline and tipped wage and employment elasticities to approximate the effect of a marginal increase in both the headline and tipped minimum wage. Wage elasticities from Table 1 and employment elasticities from Table 2, using specification 1 (Full service, 1990:1 to 2011:4, no state-specific time trends), rows ""Log of Tipped Minimum Wage"" and ""Log of Minimum Wage"". Standard errors assume no covariance between the tipped and headline minimum wage effect estimates. Standard errors calculated from t-statistics assuming normal distribution.",0,0,NA,NA,NA,NA,NA
 ep_2004_labour,NA,NA,NA,NA,0.023821121767362022,0.15199369241964758,Low wage firms,1,"Weighted average of the reported own-wage elasticities in Tables 6 and 7. Czec OWE is the simple average of four OWE estimates in columns three and four of Table 6, Panel 1 (two-thirds) Total and Panel 2 (wage gap). Slovak OWE is the simple average of four OWE estimates in columns three and four of Table 7, Panel 1 (two-thirds) Total and Panel 2 (wage gap). We then report a weighted average of these two country-specific OWEs, where the weights are the total 1998 employment sizes reported in Table 4 (Czech) and Table 5 (Slovak).",1,1,NA,NA,NA,NA,NA
 ghks_2021_jole,NA,NA,NA,NA,-0.38,NA,Overall,1,"Own-wage elasticity reported on page 696 for total employment (""implied total labor demand elasticity""). Other own-wage elasticities are reported but this seems to be the broadest.",0,1,NA,NA,NA,NA,NA
-giuliano_2013_jole,0.77,0.07,-0.454421768707483,0.47006802721088436,NA,NA,"Teens, Retail",0,"Own-wage elasticity reported in Table 4, column 6. Standard error calculated using our usual approximation, dividing Table 4 employment effect by Table 1, All stores FTE mean.",0,1,NA,NA,NA,NA,NA
+giuliano_2013_jole,0.77,0.07,-0.454421768707483,0.47006802721088436,NA,NA,"Teens, Retail",0,"Own-wage elasticity reported in Table 4, column 6. To calculate the standard error, we use the reported employment and wage elasticities and their standard errors. Wage elasticity from Table 4, column 6, row 1. Employment semi elasticity from Table 4, row 2, column 6 divided by the Table 1, All Stores FTE mean of 14.7.",0,1,NA,NA,NA,NA,NA
 gjlwwx_2024_jole,NA,NA,NA,NA,-0.2,0.32,Overall,1,"Own-wage elasticity reported in Table 2, Panel A.",0,1,NA,NA,NA,NA,NA
 gr_2021_ir,NA,NA,NA,NA,0.124,NA,High school or less,1,"Own-wage elasticity reported in Table A2, sample: High school or less, specification 1 (All).",0,1,NA,NA,NA,NA,NA
 grwa_2024_jhr,NA,NA,NA,NA,0.09,0.41,Low wage jobs,1,"Own-wage elasticity reported in Table 2, column ""Any, Any"".",0,1,NA,NA,NA,Should we use ANY ANY column?,NA