Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 4
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Social Learning, Neighborhood Effects, and Investment in Human Capital: Evidence from Green-Revolution India AgEcon
Yamauchi, Futoshi.
This paper empirically identifies social learning and neighborhood effects in schooling investments in a new technology regime. The estimates of learning-investment rule from farm household panel data at the onset of the Green Revolution in India, show that (1) agents learn about schooling returns from income realizations of their neighbors and (2) schooling distribution of the parents’ generation in a community has externalities to schooling investments in children that are consistent with social learning. Simulations show that variations in schooling distributions within and across communities generate through social learning substantial variations in child enrollment rate and average household income. The results suggest that imperfect information...
Tipo: Working or Discussion Paper Palavras-chave: Human capital; Social learning; Neighborhood effects; Income risk; Schooling distribution; Technical change; India; Labor and Human Capital.
Ano: 2005 URL: http://purl.umn.edu/59592
Imagem não selecionada

Imprime registro no formato completo
Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes AgEcon
Bayer, Patrick; Ross, Stephen L.; Topa, Giorgio.
We use a novel dataset and research design to empirically detect the effect of social interactions among neighbors on labor market outcomes. Specifically, using Census data that characterize residential and employment locations down to the city block, we examine whether individuals residing in the same block are more likely to work together than those in nearby blocks. We find evidence of significant social interactions operating at the block level: residing on the same versus nearby blocks increases the probability of working together by over 33 percent. The results also indicate that this referral effect is stronger when individuals are similar in sociodemographic characteristics (e.g., both have children of similar ages) and when at least one individual...
Tipo: Working or Discussion Paper Palavras-chave: Neighborhood effects; Job referrals; Social interactions; Social networks; Labor supply; Labor and Human Capital; J0; J2; J3; J6; R0.
Ano: 2005 URL: http://purl.umn.edu/28433
Imagem não selecionada

Imprime registro no formato completo
Competition, Kinship or Reciprocity? Village Experiments in Alternative Modes of Exchange AgEcon
Subramanian, Arjunan; Qaim, Matin.
In this paper, detailed data on transactions in a village commodity market are used to explain the puzzle of sluggish agricultural supply response. We show that existence of reciprocity among sellers exhibits multiple equilibria and creates trade diversion. Large volumes of the commodity are sold to a trader who does not offer the best price, but on whom sellers depend through transactions in other markets. An implication of this trader-idiosyncratic effect on supply is that policies that affect prices may result in different supply responses.
Tipo: Conference Paper or Presentation Palavras-chave: Reciprocity; Kinship; Neighborhood effects; Trader idiosyncrasy; Equilibrium; Consumer/Household Economics.
Ano: 2006 URL: http://purl.umn.edu/25434
Imagem não selecionada

Imprime registro no formato completo
Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture AgEcon
Langyintuo, Augustine S.; Mekuria, Mulugetta.
Researchers generally assume spatial homogeneity when assessing the factors that influence farmers to adopt improved agricultural technologies. However, the potential for spatial heterogeneity is high due to, for example, neighborhood effects such as farmers sharing information about new technology. Ignoring spatial heterogeneity can result in biased or inefficient regression estimates and make inferences based on t and F statistics misleading. Using data collected from 300 randomly selected farmers in three districts of Mozambique during the 2003/04 crop season, a spatial Tobit model was specified to estimate which factors determined the adoption of improved maize varieties, after an initial diagnostic test rejected the null hypothesis of spatial...
Tipo: Journal Article Palavras-chave: Spatial Tobit model; Spatial heterogeneity; Spatial autocorrelation; Neighborhood effects; Maize farmers; Mozambique; Research and Development/Tech Change/Emerging Technologies.
Ano: 2008 URL: http://purl.umn.edu/56960
Registros recuperados: 4
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional