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    <title>EconStor Collection:</title>
    <link>https://hdl.handle.net/10419/108014</link>
    <description />
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        <rdf:li rdf:resource="https://hdl.handle.net/10419/297042" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/297041" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/297040" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/282256" />
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    <dc:date>2026-04-29T13:38:14Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/297042">
    <title>Family foster care or residential care: The impact of home environment on children raised in state care</title>
    <link>https://hdl.handle.net/10419/297042</link>
    <description>Title: Family foster care or residential care: The impact of home environment on children raised in state care
Authors: Bárdits, Anna; Kertesi, Gábor
Abstract: This paper investigates how the type of home environment - family foster care or residential care - affects the adult outcomes of individuals who were raised in state care during adolescence. While it is established in the literature that living in residential care is detrimental for babies, the effect of living in different types of care as an older child is underexplored. We use Hungarian individual-level administrative panel data and follow the children from age 13 until age 19. We show that the adult outcomes of adolescents who grew up in a foster family are substantially better even after controlling for a rich set of variables, including indicators of cognitive and non-cognitive skills, and mental problems observed at age 13. Young adults who grew up in family foster care are 8 percentage points more likely to complete secondary education, and 11 percentage points less likely to spend at least 6 months without either working or studying at age 19, than comparable peers raised in residential care. Using mental health medication is 5 percentage points less likely. For girls, the probability of teenage birth and abortion are smaller by 12 percentage points each. IV estimations using local foster mother capacity as an instrument reinforce the beneficial effect of family foster care.</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://hdl.handle.net/10419/297041">
    <title>Statistical overstatement of average wages and its impact on pensions: The case of Hungary</title>
    <link>https://hdl.handle.net/10419/297041</link>
    <description>Title: Statistical overstatement of average wages and its impact on pensions: The case of Hungary
Authors: Obláth, Gábor; Simonovits, András
Abstract: In Hungary, initial pensions are indexed to average net wages, reported by official earnings statistics (ES), which does not cover the economy as whole. However, there is alternative statistical source on labour income, the national accounts (NA), intended to cover the total economy. The latter indicate a markedly lower rate of growth in wages than the ES for the period between 2010 and 2020 (4.9 vs. 1.9 percent increase in real gross wages per year). Relying on feasibility tests, we show that the rapid increase reported by the ES cannot, while the milder growth shown by the NA can be reconciled with relevant macroeconomic developments, e.g., changes in productivity and household consumption. We, therefore, claim that the ES overstated the actual increase in wages at the national level during the 2010s, and make our own calculations regarding the path of net wages and implied (hypothetical) initial pensions. The main implications of this exercise are the following: (i) the actual increase in initial benefits (linked to net wages, as reported by the ES) was excessive; (ii) in our estimate, the ratio of average benefits to average net wages did not fall by the extent shown by official statistics (the former is linked to the increase in prices, rather than that of wages). Moreover, (iii) the accumulation of major tensions between cohorts retiring in subsequent years might have been reduced by relying on the more plausible wage statistics reported by the NA, and by taking into account the impact of the dramatically reduced social contribution rate (paid by employers) in calculating initial benefits.</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/297040">
    <title>John von Neumann's game-theoretic legacy</title>
    <link>https://hdl.handle.net/10419/297040</link>
    <description>Title: John von Neumann's game-theoretic legacy
Authors: Simonovits, András
Abstract: John von Neumann (Budapest, 1903-Washington D.C., 1957) was an exceptional polymath, who made fundamental contributions to mathematical logics, functional analysis, quantum mechanics, game theory, computer architecture and automata theory. In this brief paper, I shall review the game-theoretic results of von Neumann and their legacy in an informal way.</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://hdl.handle.net/10419/282256">
    <title>Corruption risk and education at regional level</title>
    <link>https://hdl.handle.net/10419/282256</link>
    <description>Title: Corruption risk and education at regional level
Authors: Tóth, István János; Hajdu, Miklós
Abstract: In this study, we investigate the correlation between corruption risk and the level of education in European sub-national regions (NUTS2 level) between 2006 and 2020 in 16 member countries. We use the data of Tenders Electronic Daily (TED) covering the parameters of 6,766,274 public procurement contracts in total and NUTS2 level Eurostat data. We found that higher educational attainment is associated with lower corruption risk and a higher level of control of corruption, indicating that better-educated locals may force authorities to limit corruption risk as they have less tolerance for corrupt behavior. In addition, the results point out that the increasing level of education is associated with a decreasing level of corruption risk. Our study contributes to corruption research by using objective indicators characterizing the NUTS2 regions of some European countries.</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
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