2022 Autumn Data Splash

LIS is happy to announce the following data updates:

• Austria – Further annualisation of the country series back to 1994 for the LIS Database (3 new and 4 revised). Read more »
   
  The whole Austrian series of the European Community Household Panel (ECHP) spanning from 1995 to 2001 and carried out by Statistics Austria following Eurostat guidelines, was fully harmonized and added to the LIS Database. As a result, AT96, AT98 and AT99 were added, while new versions of AT94, AT95, AT97 and AT00 replaced previously existing ones. The old AT87 data point, which was the only remaining one based on the Microcensus, was removed due to partial income information.
• China – Addition of one data point CN18 to the LIS Database (1 new and 1 revised). Read more »
   
  A new data point for China (CN18) has been added to the LIS Database. The data is based on the latest wave of the Chinese Household Income Project (CHIP) carried out by the National Bureau of Statistics (NBS) and the China Institute for Income Distribution (CIID). CN13 was also slightly revised for consistency with the newest data point. Variable grossnet was changed from gross to net as all the household level incomes are reported net, whereas the individual ones are gross.
• Norway – One new data point for Norway (NO20) added to both the LIS and LWS Databases (1 new). Read more »
   
  A new data point from Norway (NO20) has been added to the LIS Database. The dataset is based on the latest wave of data from the Household Income and Wealth Statistics carried out by Statistics Norway (SSB).
  Alongside the addition of the newest data point for LIS, one new data point has been added to the LWS Database as well (NO20). The LWS data is based on the same source as for LIS.
• Peru – Further annualisation of the country series back to 2004 for the LIS Database (4 new and 12 revised). Read more »
   
  The annualisation of the Peruvian series was continued further back to 2004 with the inclusion of the PE05, PE06, PE08 and PE09 data points, also based on the National Household Survey (ENAHO) from the National Institute of Statistics and Informatics (INEI). In addition, the whole series was further reviewed for consistency, involving notably variables ethnic_c (new variable), informal and some consumption variables, with very minor revisions in the incomes that have hardly no impact on the final household disposable income.
• United Kingdom– Addition of two new data points (UK19/20) to the LIS Database (2 new and 19 revised). Read more »
   
  Two new data points for the United Kingdom (UK19 and UK20) were added to the LIS Database. The datasets are based on the Family Resources Survey (FRS) from the Department for Work and Pensions (DWP) and the Office for National Statistics (ONS). In addition, a correction to the taxes and contributions (which were previously underestimated) impacting the final household disposable income was applied to UK00-UK09, while other consistency revisions were applied to UK08-UK18 (variables immigr, health_c and for UK18 only, the education variables).
• Canada – Addition of CA19 to the LWS Database (1 new and 1 revised). Read more »
   
  A new data point from Canada (CA19) has been added to the LWS Database. The dataset is based on the Canadian Income Survey (CIS) carried out by Statistics Canada. In addition, CA16 was revised for consistency with the new dataset.
• Chile – Addition of 2 new data points for the Chilean series on the LWS Database (2 new and 1 revised). Read more »
   
  Two new datasets for Chile were added to the LWS Database (CL07 and CL14). Similarly to the other data point recently added for Chile, those datasets are based on the Household Financial Survey (EFH) carried out by the Central Bank of Chile. CL17 was also slightly revised for consistency.
• General Revisions to LIS/LWS Databases. Read more »
   
  LIS Database
  
  Australia
  AU16 was revised in order to fill variable hcexp.
  
  United States
  A revision of US18/19/20 was applied to correct a mistake in variable gross1 (some values were previously wrongly multiplied by 100).
  
  Uruguay
  The whole series was rerun following the uncovering of an error in variable marital, which also partly affected the construction of variable relation.
  
  LWS Database
  
  Australia
  AU16 was revised in order to fill variable hcexp.
  
  United States
  A revision of US19 was applied to correct a mistake in variable bafr2_c (which now rightly includes information on financial risk taking).
  
  Replicate weights files
  A new naming convention for the variables of the replicate weights has implied a revision of most files including the replicate weights. The variables are now called hrwgt1 hrwgtn (where n is the maximum number of replicate weights in each dataset) for all LWS files.
  

September 14, 2022 | Highlight