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  • 1
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    s.l.: PRME Regional Chapter Brazil, UNDP Office Brazil
    Publication Date: 2018-01-19
    Description: The aim of this paper is to create an indicator that compares the efficiency of countries in converting economic complexity into human development through the Data Envelopment Analysis (DEA) method and econometric validation. The DEA will not only enable comparisons of efficiency across countries, but will also enable the creation of a global indicator and social efficiency rankings.
    Description: O objetivo deste trabalho é criar um indicador que compare a eficiência dos países na conversão da complexidade econômica em desenvolvimento humano através do método de análise de envolvimento de dados (DEA) e validação econométrica. A DEA não só permitirá comparações de eficiência entre países, mas também permitirá a criação de um indicador global e rankings de eficiência social.
    Keywords: O3 ; O4 ; ddc:330 ; Economic Complexity ; Human Development ; Data Envelopment Analysis
    Language: English
    Type: doc-type:conferenceObject
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  • 2
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    Bologna: Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
    Publication Date: 2018-02-02
    Description: This paper first exploits a "bonus" policy providing low-income workers with cash grants in Brazil to study the effect of liquidity provision on unemployment outcomes. Based on a RD Design, I find that granting unemployed workers with a bonus equal to half of their previous monthly earnings decreases the probability of exiting unemployment within 8 weeks by around 0.65%. Second, by exploiting the UI potential duration schedule, I find that granting workers with an extra month of unemployment benefits decreases the same outcome by 1.9%. Then, theoretical results from Landais (2014) are used to combine these estimates and disentangle liquidity and moral hazard effects of UI. Based on these, I estimate the liquidity-to-moral hazard ratio in Brazil to be as large as 98%, similarly to values previously found in the US. It suggests that, contrary to common belief, providing UI in developing countries with large informal labor markets may yield substantial welfare gains.
    Keywords: I38 ; J65 ; ddc:330
    Language: English
    Type: doc-type:workingPaper
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  • 3
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    Bologna: Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
    Publication Date: 2018-02-02
    Description: Can the potential availability of unemployment insurance (UI) affect the behavior of employed workers and the duration of their employment spells? I apply a regression kink design (RKD) to address this question using linked employer-employee data from the Brazilian labor market. Exploiting the UI schedule, I find 1% higher potential benefit level increases job duration by around 0.3%. Such result is driven by the fact that higher UI decreases the probability of job quits, which are not covered by UI in Brazil. These estimates are robust to permutation tests and a number of falsification tests. I develop a simple model to assess the economic relevance of this finding. It shows that the positive effect on employment duration implies that the optimal benefit level is higher than otherwise. More importantly, the model delivers a simple welfare formula based on sufficient statistics which can be easily linked to the data. A simple calibration exercise shows that this elasticity impacts welfare with a similar magnitude to the well-known elasticity of unemployment duration to benefit level.
    Keywords: I38 ; J65 ; ddc:330
    Language: English
    Type: doc-type:workingPaper
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  • 4
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    Milano: Università Cattolica del Sacro Cuore, Dipartimento di Economia e Finanza (DISCE)
    Publication Date: 2018-06-19
    Description: Can unemployment insurance (UI) affect the behavior of employed workers and the duration of their employment spells? I apply a regression kink design to address this question using data from the Brazilian labor market. Exploiting the UI schedule, I find that a 1% higher potential benefit level increases job duration by around 0.35%. This result is driven by the fact that a higher potential benefit level reduces the probability of job quits, which are not covered by UI. I develop a simple model showing that the positive effect on employment duration implies that the optimal benefit is higher than otherwise and delivers a simple welfare formula based on sufficient statistics. A simple calibration exercise shows that this elasticity affects welfare with a similar magnitude as the well-known elasticity of unemployment duration to the benefit level.
    Keywords: I38 ; J65 ; ddc:330 ; Unemployment Insurance ; Employment Duration ; Regression Kink Design ; Sufficient Statistics Welfare Analysis
    Language: English
    Type: doc-type:workingPaper
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  • 5
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    São Carlos: Universidade Federal de São Carlos | ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft Kiel, Hamburg
    Publication Date: 2020-04-24
    Description: Economic growth is not the unique factor to explain human development. Due to that many authors have prioritized studies to measure the Human Development Index. However, these indices do not analyze how Economic Complexity can increase Human Development. The aim of this paper is to determine the efficiency of a set of nations from Latin America and Asia, to measure a country’s performance in converting Economic Complexity into Human Development, between 2010 and 2014. The method used was Data Envelopment Analysis (DEA), through the Variable Returns of Scale (VRS) Model and Window Analysis. Results showed in 2014, all Asian countries were efficient except China and the Philippines, and Cuba was the benchmark for inefficient countries. Window Analysis showed Japan, Republic of Korea and Singapore were efficient over time. This result confirms the initial hypothesis of this article: the more complex countries are more efficient in generating Human Development.
    Description: Article accepted for publication in the journal Gestão & Produção.
    Description: O crescimento econômico não é o único fator que explica o desenvolvimento humano. Neste aspecto, índices sobre a qualidade de vida têm sido recorrentes na literatura. Entretanto, estes índices não analisam como a complexidade econômica é convertida em desenvolvimento humano. O objetivo deste artigo é mensurar a eficiência dos países latino americanos e asiáticos em converter complexidade econômica em desenvolvimento humano, entre 2010 e 2014. O método utilizado foi o Data Envelopment Analysis (DEA), por meio do modelo de Retornos Variáveis à Escala (BCC) e Análise de Janela. Os resultados demonstraram que, em 2014, todos os países asiáticos foram eficientes, exceto a China e Filipinas. Neste ano, Cuba foi o país que mais serviu de benchmark para os países ineficientes. A análise em janela demonstrou que apenas Japão, Coréia do Sul e Singapura se mantiveram eficientes ao longo do tempo. Este resultado confirma a hipótese inicial deste artigo: economias mais complexas são mais eficientes em gerar desenvolvimento humano.
    Keywords: O15 ; O32 ; ddc:330 ; Data Envelopment Analysis (DEA) ; Window Analysis ; Economic Complexity ; Human Development
    Language: English
    Type: doc-type:article
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