The sexual division of labour: A qualitative analysis of social organisations in Peru

This is a study on participation in civil society organisations in Peru, which adopts a gender perspective to understand the dynamics of social welfare production in a family model, and in which there is also a preponderance of community intervention in the field of social protection. The study uses a qualitative methodology and an ethnographic analysis based on 21 organisations. The results indicate polarity of discourses between those who recognise gender differentiation and those who consider that there is gender equality. Despite the polarity, differences in roles, quantity and quality of services, leadership, involvement and motivation are shown. The differences identified vary according to the type of organisation, which shows the relationship between the organisations and the intervention in territories-regions.     

Integer-Valued Self-Exciting Threshold Autoregressive Processes

In this article, we introduce a class of self-exciting threshold integer-valued autoregressive models driven by independent Poisson-distributed random variables. Basic probabilistic and statistical properties of this class of models are discussed. Moreover, parameter estimation is also addressed. Specifically, the methods of estimation under analysis are the least squares-type and likelihood-based ones. Their performance is compared through a simulation study.     

Nonparametric Estimation of Nonadditive Random Functions

We present estimators for nonparametric functions that are nonadditive in unobservable random terms. The distributions of the unobservable random terms are assumed to be unknown. We show that when a nonadditive, nonparametric function is strictly monotone in an unobservable random term, and it satisfies some other properties that may be implied by economic theory, such as homogeneity of degree one or separability, the function and the distribution of the unobservable random term are identified. We also present convenient normalizations, to use when the properties of the function, other than strict monotonicity in the unobservable random term, are unknown. The estimators for the nonparametric function and for the distribution of the unobservable random term are shown to be consistent and asymptotically normal. We extend the results to functions that depend on a multivariate random term. The results of a limited simulation study are presented.