2020 Spring Data Release

LIS is happy to announce the release of thirteen additional micro datasets to the LIS Database: BelgiumBE04 (Wave VI), BE07 (Wave VII), BE10 (Wave VIII), BE13 (Wave IX) and BE16 (Wave X), CanadaCA12 (Wave IX), CA14 (Wave IX), CA15 (Wave X), CA16 (Wave X), and CA17 (Wave X), Czech RepublicCZ16 (Wave X), ItalyIT16 (Wave X), and PalestinePS17 (Wave X).
In addition, one new dataset has been added to the LWS Database, ItalyIT16 (Wave X).

With this release, the following Datasets have been revised:

Luxembourg Income Study (LIS)

  • Belgium – Variables emp and lfs are now available in datasets BE85 and BE88. Datasets BE85, BE88, BE92, BE95, BE97, and BE00 have been revised for consistency, particularly the labour market and income sections.
  • Canada – Variables hc41 (actual rent), hc4 (actual rent and utilities), hxmort (mortgage instalments), and hhouscost (housing costs) are now available in datasets CA07, CA10, and CA13. Household composition and living arrangements related variables (partner, parents, nchildren, and ageyoch) are now available for a larger universe in CA07, CA10, and CA13.
  • Czech Republic – An error in variable status1 (status in employment, main job) has been corrected in datasets CZ10 and CZ13.
  • Germany – Variable hourstot is now available in DE16.
  • Italy – The provision of more detailed variables for taxes and social contributions (as simulated by the Bank of Italy) allowed the addition of taxes and contributions to all labour income and pension variables in IT14; as a result, income variables are now reported gross rather than net and variable grossnet has been revised accordingly.
  • Sweden – Variables emp and lfs are now available in SE75. Variable lfs was reviewed in SE81 and SE05, with impact on emp in SE05 only.

Luxembourg Wealth Study (LWS)

  • Germany – Variable hourstot is now available in DE17.
  • Italy – The provision of more detailed variables for taxes and social contributions (as simulated by the Bank of Italy) allowed the addition of taxes and contributions to all labour income and pension variables in IT14; as a result, income variables are now reported gross rather than net and variable grossnet has been revised accordingly.
  • Variable bocd1_c (constraints in debt repayment) is now available in IT08, IT10, and IT14.
  • Luxembourg – Replicate weights have been added to LU10 and LU14.
  • Japan – Variables hxmort (mortgage instalments), hxloan (installment for other loans), and hhouscost (housing costs) have been corrected in JP04.
  • Spain – Replicate weights have been added to ES02, ES05, ES11, and ES14.
  • Canada – Integrated net worth is now available in CA99, CA05, CA12, and CA16.

General Revisions (entire LIS Database)

  • Variables pitotal (total individual income) and pi42 (unemployment benefits) have been corrected to include also amounts assigned to pi421 (unemployment insurance) and pi422 (unemployment assistance). The following datasets are concerned:
    Austria (AT94 AT97 AT00 AT07 AT10 AT13 AT16), Belgium (BE85 BE88 BE92 BE95 BE97 BE00), Brazil (BR06 BR09 BR11 BR13), Canada (CA87 CA91 CA94 CA97 CA98 CA00 CA04 CA07 CA10 CA13), Switzerland (CH07 CH10 CH13), Chile (CL90 CL92 CL94 CL96 CL98 CL00 CL03 CL06 CL09 CL11 CL13), China (CN02), Czech Republic (CZ92 CZ96 CZ02 CZ04 CZ07 CZ10 CZ13), Denmark (DK87 DK92 DK95 DK00 DK04 DK07 DK10 DK13 DK16), Germany (DE78 DE83 DE84 DE87 DE89 DE91 DE94 DE95 DE98 DE00 DE01 DE02 DE03 DE04 DE05 DE06 DE07 DE08 DE09 DE10 DE11 DE12 DE13 DE14 DE15 DE16), Estonia (EE04 EE07 EE10 EE13), Spain (ES95 ES00 ES07 ES10 ES13 ES16), Finland (FI87 FI91 FI95 FI00 FI04 FI07 FI10 FI13 FI16), France (FR78 FR94 FR00 FR05 FR10), Greece (GR95 GR00 GR04 GR07 GR10 GR13), Hungary (HU91 HU94 HU99 HU05 HU07 HU09 HU12 HU15), Ireland (IE94 IE95 IE96 IE00 IE04 IE07 IE10), India (IN04 IN11), Iceland (IS04 IS07 IS10), Italy (IT95 IT98 IT00 IT04 IT08 IT10 IT14), Lithuania (LT10 LT13), Luxembourg (LU85 LU91 LU94 LU97 LU00 LU04 LU07 LU10 LU13), Mexico (MX08 MX10 MX12 MX14 MX16 MX18), Netherlands (NL87 NL90 NL93 NL99 NL04 NL07 NL10 NL13), Norway (NO86 NO95 NO00 NO04 NO07 NO10 NO13), Poland (PL95 PL07 PL10 PL13 PL16), Serbia(RS06 RS10 RS13 RS16), Russia (RU00 RU04 RU07 RU10 RU11 RU13 RU14 RU15 RU16), Sweden (SE67 SE75 SE92 SE95 SE00 SE05), Slovenia (SI97 SI99 SI04 SI07 SI10 SI12 SI15), Slovakia (SK92 SK04 SK07 SK10 SK13), United Kingdom (UK69 UK74 UK79 UK86 UK91 UK94 UK95 UK99 UK04 UK07 UK10 UK13 UK16), United States (US74 US79 US86 US91 US94 US97 US00 US04 US07 US10 US13 US16), Uruguay (UY04 UY07 UY10 UY13 UY16), Vietnam (VN11 VN13), and South Africa (ZA08 ZA10 ZA12).
  • Variables gross1/net1 (gross/net hourly wage, main job) have been converted to current currency. The following datasets are concerned:
    Austria (AT94 AT97 AT00), Belgium (BE95 BE97 BE00), Czech Republic (CZ96), Germany (DE81 DE84 DE87 DE89 DE91 DE94 DE95 DE98 DE00 DE01), Estonia (EE07 EE10), Spain (ES95 ES00), France (FR94), Greece (GR95 GR00), Ireland (IE94 IE95 IE96 IE00), Italy (IT87 IT89 IT91 IT93 IT95 IT98 IT00), Luxembourg (LU91 LU94 LU97 LU00), Netherlands (NL83 NL93 NL99), and Slovakia (SK04 SK07).
  • Variables educlev (highest completed education levels) and educ (education – 3-category recode) have been revised for consistency. As a result, variable edyrs (years of education) were adjusted accordingly.
    • The following datasets concern educ and educlev:
      Austria (AT04 AT07 AT10), Canada (CA71 CA75 CA81 CA87 CA91 CA94 CA97 CA98 CA00 CA04 CA07 CA10), Czech Republic (CZ92 CZ96 CZ02 CZ04 CZ07 CZ10 CZ13), France (FR78), Hungary (HU91 HU94), Italy (IT95 IT98 IT00 IT04 IT08 IT10 IT14), Norway (NO86 NO91 NO95), and Poland (PL86)
    • The following datasets concern educlev only:
      Austria (AT87 AT94 AT95 AT97 AT00 AT13 AT16), Belgium (BE97), Germany (DE13 DE14 DE15 DE16), Denmark (DK87 DK92 DK95 DK00 DK04), Greece (GR07 G10 GR13), Hungary (HU99 HU05 HU0).

General Revisions (entire LWS Database)

  • Variables pitotal (total individual income) and pi42 (unemployment benefits) have been corrected to include also amounts assigned to pi421 (unemployment insurance) and pi422 (unemployment assistance). The following datasets are concerned:
    Austria (AT11 AT14), Germany (DE12 DE07 DE02 DE17), Greece (GR09 GR14), Italy (IT14 IT10 IT08 IT04 IT00 IT95), Luxembourg (LU10 LU14), Norway (NO13 NO10), Sweden (SE05 SE02), Slovenia (SI14), Slovakia (SK10 SK14), and United Kingdom (UK11 UK09 UK07).
  • Variables gross1/net1 (gross/net hourly wage, main job) have been converted to current currency. The following datasets are concerned:
    Italy (IT95 IT00).
  • Variables educlev (highest completed education levels) and educ (education – 3-category recode) have been revised for consistency. As a result, variable edyrs (years of education) were adjusted accordingly.
    • The following datasets concern educ and educlev:
      Canada (CA16 CA12 CA05 CA99), and Italy (IT95 IT00 IT04 IT08 IT10 IT14).

March 13, 2020 | Highlight