Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality

Avila, Fernando Rios

doi:10.2139/ssrn.3378811

Cited by 20 publications

(8 citation statements)

References 19 publications

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“…The Oaxaca-Blinder model has previously been used to decompose wages [28,29] and, in recent cases, to decompose the agricultural output or yield by sex of the individual [3]. From the unfavourable occupational distribution of wages decomposition studies by Oaxaca and Blinder [30] to recent re-centered influence functions using Oaxaca-Blinder models by Rios-Avila [27], estimating yield gap has improved significantly. In fact, Firpo et al [26] exploit a two-stage procedure whereby wage is decomposed into one caused by structure effect and the other composition effect using a reweighting method.…”

Section: Empirical Estimationmentioning

confidence: 99%

“…While Oaxaca-Blinder decomposition is based on mean estimates of the outcome, the distributional statistics are often ignored [26]. The recently developed Reentered Influence Functions (RIFs) popularised by Rios-Avila [27] offers a more robust way of analysing unconditional partial effects on quantiles (unconditional quantile regressions). This is because, in the sample, the relative position of a given farmer's yield compared to others (cumulative distribution function) is known.…”

Section: Empirical Estimationmentioning

confidence: 99%

“…It can also arise due to differences in coefficients, that is, F m Y|X (Y|X) = F f Y|X (Y|X). This main advantages of this methodology compared to other strategies existing in gender yield gap literature is the simplicity implementing it, ease of obtaining detailed contributions of each covariate on the aggregate decomposition and possibility of expanding the analysis RIF-based statistics [27].…”

Section: Empirical Estimationmentioning

confidence: 99%

“…This is implemented in this study at quantiles level. This study also implements the latest developed re-centered influence functions for the Oaxaca-Blinder decomposition at 10, 50 and 90 percent quantiles as in Rios-Avila [27].…”

Section: Introductionmentioning

confidence: 99%

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What Does Gender Yield Gap Tell Us about Smallholder Farming in Developing Countries?

et al. 2020

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This study examines the extent of the productivity gap between male and female bean producers, its discriminatory nature and implications for the policymakers in agriculture in Tanzania. Generally, women are distinctively “invisible” in agriculture, due to social norms and even from the national agricultural policy perspective. Their discrimination arises from uncounted and unaccounted for farm work, and their productivity is reduced by triple roles, limited access to education, having triple effects on access to technology, training and land rights. In research, issues of concern to them such as nutritious food crops, varietal selection on important attributes, household food security, convenient home storage and small-scale processing are widely ignored through unfavourable policy design. Given the above discriminatory issues surrounding women in agriculture, they are hypothesised to be less productive and often lag behind male counterparts in crop production. To test the above hypothesis, a three-stage stratified sampling method was used to collect cross-sectional data in 2016 across four regions of Tanzania. Then, an Oaxaca-Blinder decomposition method (at means) was used to apportion the sources of the difference between men and women into explained and unexplained variations. Further improvements through the newly developed Re-Centered Influence Functions (RIFs) remarkably improved outcomes as the differences were analysed through unconditional partial effects on quantiles. Using a counterfactual approach and correcting for selection bias, the model provided consistent estimates for easy comparison of the two groups. Besides this, it emerged that interventions such as providing improved bean seed varieties and training farmers on good agricultural practices reduced the gender yield gap and provided a potential avenue for addressing the discrimination observed in productivity among males and females. Controlling for selection bias also improved the model, but the real discrimination was observed at the 50th percentile, where the majority of the respondents lay within. However, if a female’s age, family size, additional years of schooling and discretion to spend income from beans were taken away, they would be worse off. Our study finds that females comprised 25 percent of the sample, had 6 percent lower productivity, provided 64.70 percent on-farm labour and had 0.32 hectares less land compared to males, ceteris paribus. Access to improved varieties contributed to a 35.4 percent improved productivity compared to growing indigenous/local varieties. The implication is that the gender yield gap can be reduced significantly if efforts are focused on preventing or correcting factors causing discrimination against women.

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Section: Empirical Estimationmentioning

confidence: 99%

Section: Empirical Estimationmentioning

confidence: 99%

Section: Empirical Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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What Does Gender Yield Gap Tell Us about Smallholder Farming in Developing Countries?

et al. 2020

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“…Tabela 3.1 -Modelos estimados por Tobit a partir do Coeficiente de Williamson para o Brasil, 1985 -Gini e indústria: teste da CWK Intrarregional nas UFs (regressões paramétricas), 1985-2018 ..... Tabela A.8 -Theil e indústria: teste da CWK Intrarregional nas UFs (regressões paramétricas), 1985-2018 .... Tabela A.9 -Gini e serviços: teste da CWK Intrarregional nas UFs (regressões paramétricas), 1985-2018 ...... Tabela A.10 -Theil e serviços: teste da CWK Intrarregional nas UFs (regressões paramétricas), 1985-2018 ... Tabela A.11 -CDI e PIB: teste da CWK Inter-regional nas UFs (regressões paramétricas), 1985-2018 ........... Tabela A.12 -CDI e indústria: teste da CWK Inter-regional nas UFs (regressões paramétricas), 1985-2018 .... Tabela A.13 -CDI e serviços: teste da CWK Inter-regional nas UFs (regressões paramétricas), 1985-2018 ..... Tabela A.14 -Decomposição do coeficiente de Gini do Brasil: 1976-2019…”

Section: Lista De Tabelasunclassified

Três ensaios sobre estrutura produtiva, distribuição de renda e crise econômica no Brasil

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Encerra-se mais um ciclo, e neste momento, a reflexão sobre todo o percurso aflora a mente. Percebo que essa etapa só foi possível porque eu não estava sozinho.Agradeço em primeiro lugar a Deus, pela minha família e amigos, que caminharam comigo, e mesmo nessa turbulência do Covid-19, mantiveram a saúde.Agradeço aos meus pais, Maria Lica e José Leonardo, sobretudo pelo exemplo que são, mas também por todo o suporte e esforço, que com integridade e trabalho duro me proporcionaram uma educação de qualidade e a oportunidade de chegar até aqui. E ao meu irmão, Leo, pela parceria e companheirismo.Agradeço a minha namorada, Mila, que com amor e carinho me acolheu durante os períodos de dificuldade, incertezas e alegrias, que foram tão intensos durante esse período. E aos seus pais, Patrícia e Marcelo, que por inúmeras vezes me receberam em sua casa.Agradeço aos meus amigos, especialmente os que compartilharam a vivência em Uberlândia e do doutorado, Douglas, Gustavo, João, Kayo, Leonardo, Otto e Weber.Agradeço ao professor Carlos Saiani, que me orientou e acompanhou durante a árdua tarefa de construção dessa Tese. Mas além disso, pelas trocas de experiências, parcerias nas produções científicas e pelo suporte em momentos difíceis ao longo do doutorado, que sem dúvida, tornaram o processo mais leve e gratificante.Agradeço a todos os professores do PPGE e ao corpo técnico, os quais sempre foram gentis e solícitos, e que colocaram à disposição o seu conhecimento e trabalho.Agradeço aos professores Marcelo e Michele, que participaram da qualificação, fazendo críticas e sugestões que foram de grande valia para definir as estruturas dessa Tese. Agradeço também aos demais professores da Banca de exame final, Luciano e Mônica, que se dispuseram a participar como avaliadores.Por fim, agradeço aos trabalhadores brasileiros, que com seus tributos, tornaram possível a existência de programas de pós-graduação gratuitos e de qualidade, e de agências de financiamento, como a CAPES. A essa última, agradeço o suporte financeiro. Tenho como uma obrigação retribuir, com trabalho e dedicação, para construir um Brasil mais justo, e que possa garantir para todos as oportunidades que eu tive.

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Multidimensional Poverty Changes in Malawi

Mtocha,

Chirwa,

Mazalale

2024

The Palgrave Handbook of Global Social Problems

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Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality

Cited by 20 publications

References 19 publications

What Does Gender Yield Gap Tell Us about Smallholder Farming in Developing Countries?

What Does Gender Yield Gap Tell Us about Smallholder Farming in Developing Countries?

Três ensaios sobre estrutura produtiva, distribuição de renda e crise econômica no Brasil

Multidimensional Poverty Changes in Malawi

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