2024 Spring Data Splash

LIS is happy to announce the following data updates:

• Austria (1 new LIS dataset, 1 new LWS dataset & 3 revised) – Addition of AT21 to the LIS Database and AT21 to the LWS Database
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  LIS Database
  One new dataset from Austria has been added to the LIS Database. The new dataset AT21 is based on the Austrian Survey on Income and Living Conditions (EU-SILC) carried out by Statistics Austria.
  
  LWS Database
  One new dataset, AT21, has been added to the LWS Database. The dataset is based on the Austrian Household Finance and Consumption Survey (HFCS) provided by Austrian Central Bank of Austria (Österreichische Nationalbank – OeNB). In addition, the following consistency revisions were carried out. Errors in the construction of variables educlev/educ/edyrs from the education section were corrected in AT17. For all prior datasets, the section on received inheritances and gifts (pia/m/t/y1-4) was reviewed.
• Brazil (10 new datasets and 11 revised) – Further annualisation from BR01 to BR15 in the LIS Database
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  Ten new datasets from Brazil have been added to the LIS Database, namely BR01, BR02, BR03, BR04, BR05, BR07, BR08, BR12, BR14, BR15, completing the annualization of the series from 2001 to 2022 (with the exception of 2010, year in which the survey was not carried out because of the Census). All of the datasets come from the corresponding waves of data of the National Household Sample Survey (PNAD)from the Brazilian Geographical and Statistical Institute. In addition, the datasets BR16 to BR22 have been corrected for a minor update of the simulation outcomes of secondary employment.
• Colombia (2 new datasets) – Addition of CO21 & CO22 to the LIS Database
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  Two new datasets from Colombia have been added to the LIS Database (CO21 and CO22). While both datasets are based on the Great Integrated Household Survey / Gran Encuesta Integrada de Hogares (GEIH) carried out by the National Administrative Department of Statistics / Departamento Administrativo Nacional de Estadística (DANE), starting from CO22 the GEIH is based on the latest 2018 Census (henceforth referred to as GEIH-M18) implying a new methodology in terms of sampling, weighing and the collection of several labour market and income items.
• Denmark (7 new LIS datasets and 1 revised, 8 new LWS datasets) – Partial annualisation from DK15 to DK22 in the LIS Database and annualisation from DK15 to DK22 in the LWS Database
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  LIS Database
  LIS has released a first set of annual data for Denmark in the LIS Database. The seven new datasets, namely DK15, DK17, DK18, DK19, DK20, DK21 and DK22, are the result of a close collaboration with Statistics Denmark, who extracted the data from the Income and other Administrative Registers of the country and partly directly created already harmonised variables based on the registers. The data point for DK16, which was previously on-line, was fully replaced by the data newly extracted from the registers.
  
  LWS Database
  Eight data points have been added to the LWS Database, DK15, DK16, DK17, DK18, DK19, DK20, DK21 and DK22. This addition was made possible thanks to a close collaboration with Statistics Denmark, who created the data from an extraction from the Wealth and other Administrative Registers of the country.
• Germany (1 new dataset and 36 revised) – Addition of DE20 to the LIS Database
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  LIS Database
  One new dataset from Germany, DE20, has been added to the LIS Database. The dataset is from the 2023 data release (v38.1eu) of the German Socio-Economic Panel (GSOEP) carried out by the German Institute for Economic Research (DIW). Alongside this update, the previous datasets from the GSOEP series DE84–DE19 have been updated to reflect the improvements in the latest version v38.1eu by DIW, mostly concerning the update of the imputation of incomes for non-respondents, based on the newly available data point DE20.
  
  LWS Database
  The previous released datasets from the GSOEP series DE02-DE17 have been updated to reflect the improvements in the latest version v38.1eu by DIW, mostly concerning the update of the imputation of incomes for non-respondents, based on the newly available data point DE20 in LIS. The balance sheet amounts are not concerned by this update.
• Ireland (2 new datasets and 18 revised) – Addition of IE20 & IE21 to the LIS Database
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  LIS has added two more data points, IE20 and IE21 to the LIS Database. The datasets are based on the Survey on Income and Living Conditions / EU-SILC, and received from Ireland’s Central Statistics Office (CSO). In addition, a few consistency revisions have been carried out to the previous datasets from the SILC series, IE02 to IE19. Return to the country has been removed from the scope of the variable yrsresid (years since arrived in country), this means that the variable is not defined for persons who were born in the country in the LIS database. Additionally, the universe of yrsresid and immigr has been restricted to persons 16 years or older, as country of birth is not available for persons below 16 for these data points. For variable own (owned/rented housing) the split between owners with mortgage and those without it is now provided for IE02 to IE09 as well, based on whether they paid interests on mortgage or not in the income reference year. Variable hxmort (mortgage installment) is not provided anymore for IE02 to IE09 because mortgage repayments are not available in the data, only mortgage interests.
• Netherlands (10 new datasets and 8 revised) – Further annualisation of the country series from NL04 to NL21 in the LIS Database
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  Ten new datasets from the Netherlands, namely NL05, NL06, NL08, NL09, NL11, NL12, NL14, NL19, NL20, and NL21, from the Dutch Survey on Income and Living Conditions (SILC) provided by Statistics Netherlands have been added to the LIS Database, hence completing the annualization of the series from 2004 to 2021. In addition, the whole series based on SILC (from NL04 onwards) was revised, implying several changes to make it fully consistent over time. This had major implications for NL04 (which had been initially harmonised in a previous template), followed by NL07, NL10 and to a lesser extent NL13. For the latter part of the series (NL15 onwards) the changes were minimal. The changes concern the filling of some new variables (notably for NL04), the uniformization of the universe of several variables, the uniformization of the country-specific coding of educ_c, ind1_c and occ1_c, some marginal corrections/improvements of socio-economic categorical variables, as well as some minor modifications to the income, expenditures and consumption variables (mostly concerning different placements of the amounts).
• Slovakia (1 new datasets and 3 revised) – Addition of SK21 to the LWS Database
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  A new dataset from Slovakia SK21 has been added to the LWS Database. The dataset is based on the fouth wave of the Slovak Household and Finance Consumption Survey (HFCS) carried out by the National Bank of Slovakia and co-ordinated by the Household Finance and Consumption Network (HFCN) of the European Central Bank (ECB). In addition, for all prior datasets in the Slovakian series, the section on received inheritances and gifts (pia/m/t/y1-4) was reviewed. Variable ppy (year of purchase of principal residence) is now also available in SK10 and SK14.
• South Korea (5 new LIS datasets and 1 revised, 6 new LWS datasets ) – Annualisation from KR16 to KR21 in the LIS Database and annualisation from KR17 to KR22 in the LWS Database
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  LIS Database
  LIS has released new data for South Korea in the LIS Database, leading to a partial annualization of the country series for the period 2016 to 2021. The five new datasets, namely KR17, KR18, KR19, KR20, and KR21, are derived from the new Survey of Household Finances and Living Conditions (SFLC), provided by Statistics Korea (KOSTAT). As advised by KOSTAT, the previously harmonised dataset KR16 has been replaced by the new survey, which better captures income due to the direct link to register data.
  
  LWS Database
  Six data points have been added to the LWS Database, KR17, KR18, KR19, KR20, KR21 and KR22. The data are based on the new Survey of Household Finances and Living Conditions (SFLC), provided by Statistics Korea (KOSTAT).
• Spain (1 new dataset) – Addition of ES21 to the LWS Database
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  One more dataset, ES21, based on the Survey of Household Finances (EFF) acquired from Bank of Spain has been added to the LWS Database.
• Peru (1 new dataset and 16 revised) – Addition of PE21 to the LIS Database
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  One new dataset from Peru, PE21, has been added to the LIS Database. The dataset is from the National Household Survey (ENAHO) carried out by the National Institute of Statistics and Informatics (INEI) of Peru. Minor consistency corrections were applied to PE04 to PE19. Contents of hi41 (family benefits) have been restricted to ‘Transfers from programa juntos’, before various other transfers from public and private institutions were included as well.
• Romania (1 new dataset and 15 revised) – Addition of RO21 to the LIS Database
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  One new dataset from Romania, RO21, has been added to the LIS Database. The dataset is based on the Quality of Life Survey (ACAV) from which is derived the Romanian Survey on Income and Living Conditions (SILC), and is provided by the Romanian National Institute of Statistics (INSSE). In addition, the education section in RO20 was revised. The INSSE kindly provided LIS an updated version for the highest education level attained. This update better separates upper secondary from post-secondary non-tertiary degrees. The revision affects the following LIS variables educ_c, educlev, edyrs, and educ, the latter to a minor extent.
• Russia (2 new datasets and 12 revised) – Addition of RU20 & RU21 to the LIS Database
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  Two new datasets from Russia have been added to the LIS Database (RU20 and RU21). The datasets are based on the Survey of the Population Income and participation in Social programs (PIS) carried out by the Federal State Statistics Service (Rosstat). In addition, a few consistency corrections were carried out. For the datasets RU17 to RU19 around 300 household members were added to the files, leading to subsequent changes in the household composition. Since therefore also the household size changes in these households, this also affects slightly the LIS Key Figures, but to a negligible extent. For the entire Russian data series variable marital (marital status) has been reviewed, in order to consider previously married couples in code 200 (not married/not in union).
• United States (1 new LIS dataset and 1 revised, 1 new LWS dataset) – Addition of US22 to the LIS Database and the LWS Database
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  LIS Database
  One new dataset from the United States, US22, has been added to the LIS Database. The dataset is based on the Annual Social and Economic Supplement from the Current Population Survey (CPS-ASEC) as provided by the Bureau of Labor Statistics (BLS) / U.S. Census Bureau. In addition, a minor revision was carried out to US21: as part of the COVID measures, the Child and Dependent Care Credit (CDCC) was made extraordinarily refundable for 2021 and was thus added to variable pi41 (Family benefits). This has a modest impact on DHI and Key Figures.
  
  LWS Database
  One new dataset, US22, has been added to the LWS Database. This dataset is based on the 2022 wave of the Survey of Consumer Finances (SCF) carried out by Board of Governors of the Federal Reserve System.

March 13, 2024 | Highlight