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LIS is happy to announce the following data updates:

  • Belgium (4 new datasets and all revised) – Further annualisation from BE18 to BE21 in the LIS Database
    Read more »

  • Brazil (6 new datasets and 1 revised) – Partial annualisation from BR17 to BR22 in the LIS Database
    Read more »

  • Israel (3 new datasets and 17 revised) – Addition of IL19, IL20 & IL21 to the LIS Database
    Read more »

  • Italy (16 new datasets and all revised) – Addition of IT77 to IT84, IT02, IT06 & IT12 to the LIS Database;
    addition of IT98, IT02, IT06, IT12 & IT20 to the LWS Database
    Read more »

  • Luxembourg (1 new dataset and 3 revised) – Addition of LU21 to the LWS Database
    Read more »

  • Romania (3 new datasets and 12 revised) – Addition of RO14 , RO16 & RO20 to the LIS Database
    Read more »

  • Switzerland (1 new dataset and 13 revised) -Addition of CH19 to the LIS Database
    Read more »

  • United Kingdom (1 new dataset and 1 revised) – Addition of UK21 to the LIS Database
    Read more »




  Click on `Read more’ to access more details on the newly added and revised datasets

Design and Development

LIS and LISER invite you for a hybrid session of the (LIS)^2ER Friday seminar on In Search of a Paradox of Redistribution: An Analysis of Fiscal Redistribution in High-income Countries

In person room: MSH LIS-LISER corner 5th floor (Maison des Sciences Humaines).

Friday 03 November at 11h00 (UTC+01:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna

The following presentation is scheduled:

Speaker: Dave Coady

Title: In Search of a Paradox of Redistribution: An Analysis of Fiscal Redistribution in High-income Countries

Abstract:
The last decade has seen a sharp increase in interest in the possible existence of a Paradox of Redistribution (PoR) whereby more narrow targeting of social transfers aimed at increasing their redistributive (poverty) impact has the perverse effect of increasing poverty over the medium term due to decreasing public support for such narrowly targeted spending. However, the empirical support for the existence of a PoR has been mixed. We revisit this issue using harmonized LIS household survey data covering recent decades by examining how the magnitude of fiscal redistribution (FR) from transfers varies across high-income countries and over time within these countries. Our analysis is embedded in the standard social welfare framework, which allows for a transparent and integrated evaluation of FR including by making explicit the value judgements necessarily inherent in such analyses. Our results support recent findings that FR has increased over the last four decades, although we do not find support for some recent results that FR decreased since 1995. While we find strong support for a PoR for social insurance transfers (dominated by pension transfers), we find little support in the context of social assistance transfers. We argue that, especially in the context of social assistance, more detailed country-specific studies of the political and economic dynamics in countries are needed to adequately determine the existence or otherwise of a PoR. Our high-level analysis can, however, help to identify possible candidates for such country case studies.

Participation
In person room: MSH LIS-LISER corner 5th floor (Maison des Sciences Humaines).

Please join us on Zoom meetings by following the link below
https://us02web.zoom.us/j/83022484736

Meeting ID: 830 2248 4736

Sebastian Will, (University of Freiburg, Germany)

The provision of affordable housing has been a matter of great concern in almost all middle- and high-income countries for at least the last two decades. For many households, the own home is the single biggest asset. Accordingly, homeownership plays a key role in shaping wealth inequalities. In this article, Sebastian Will first briefly discusses various housing regime indicators. Secondly, he calculates Gini coefficients in order to examine wealth inequalities with and without housing wealth and for subdivisions of renting and owning households.

Full article is available here.

Carmen Petrovici, (LIS)

Looking at the newly released long series of Romanian data in the LIS database Carmen Petrovici unravels what stands behind the remarkable increase in the gross wage income in the latest years. In 2018 Romania implemented a fiscal reform, which, among other measures, switched most of the social contributions paid by the employer over to the employees, and in order to absorb the new fiscal burden, the gross wages increased. However, this increase in gross wages is not followed by a similar increase in the net wages over the same period.

Full article is available here.

Gintare Mazeikaite, (LIS)

In June 2018, the Parliament of Lithuania adopted a six-reform package encompassing labour taxation, pensions, education, innovation, healthcare, and measures targeting the informal economy. One of the primary motivations for the tax reform was to increase the competitiveness of labour taxation. Gintare Mazeikaite describes some of the key elements of these reforms, and how they affect the disposable income of the household.

Full article is available here.

Josep Espasa Reig, (LIS)

The ’lissyrtools’ R package aims to make the use of R in LISSY simpler. It provides a set of commonly used functions that can easily reproduce LIS estimates such as those in DART, IKF and in the Compare.It dashboard. The package is currently in Beta (0.1) version. It is installed in LISSY and users can download it locally from the LIS GitHub repository.

Full article is available here.

LIS is happy to announce the following data updates:

  • Georgia (2 new datasets) – Addition of GE20 & GE21 to the LIS Database
    Read more »

  • Lithuania (2 new datasets and 10 revised) – Addition of LT19 & LT20 to the LIS Database
    Read more »

  • Mexico (2 new datasets and 6 revised) – Addition of MX20 & MX22 to the LIS Database
    Read more »

  • Norway (1 new dataset and 5 revised) – Addition of NO21 to the LIS and LWS Databases
    Read more »

  • Romania (12 new datasets and 2 revised) – Partial annualisation from RO06 to RO19 in the LIS Database
    Read more »

  • Sweden (2 new datasets and 20 revised) – Addition of SE01 & SE21 to the LIS Database
    Read more »

  • Taiwan (5 new datasets and 11 revised) – Addition of TW17 to TW21 to the LIS Database
    Read more »

  • Uruguay (1 new dataset and 14 revised) – Addition of UY22 to the LIS Database
    Read more »




  Click on `Read more’ to access more details on the newly added and revised datasets

The US21 dataset, that was added to the LIS Database on the 14th of June, has been corrected, as the Economic Impact Payment (or Coronavirus stimulus payment) has been added. This has a major impact on poverty and inequality indicators.

We strongly advise those who have carried out analyses on the US21 data to rerun their analyses.

Mauricio De Rosa, (Universidad de la República, Uruguay), Ignacio Flores, (City University of New York and Paris School of Economics), and Marc Morgan, (Geneva University)

Income inequality has regained attention in academia and politics, with rising trends observed globally over the past three decades. Latin America has been seen as an exception to this trend. This paper aims to reassess the prevailing narrative of declining inequality in Latin America by adopting an innovative approach. The authors build a comprehensive dataset that combines harmonized surveys, social security and tax data, and national accounts from ten Latin American countries. This approach allows them to reconcile micro and macro income data and address critical gaps, namely, in the coverage of top/capital incomes.

Full article is available here.

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