This study identifies and analyzes factors influencing canola plantation development in Tabriz and Marand Counties. The Censored Model was used to analyze cross-sectional data collected from 372 farmers using a questionnaire. Due to the weakness of the Tobit Model in separating factors affecting the adoption decision of farmers and factors affecting the rate of adoption, the Heckman Model was e...

Generalized linear models and quasi-likelihood method extend the ordinary regression models to accommodate more general conditional distributions of the response. Nonparametric methods need no explicit parametric specification and the resulting model is completely determined by the data themselves. However nonparametric estimation schemes generally have a slower convergence rate such as the loc...

Survey non-response is an important problem in statistics, economics and social sciences. The paper reviews the missing data framework of Little & Rubin [Little and Rubin, 1986]. It presents a survey of techniques to deal with non-response in surveys using a likelihood based approach. The focuses on the case where the probability of a data missing depends on its value. The paper uses the two-st...

This paper studies non-parametric identi…cation and the testable implications of the Roy Model. Results in the literature are generalized in three directions. First, my model allows fully general functions that characterize the income of di¤erent occupations. Second, identi…cation is obtained using strictly weaker exclusion restrictions. For example, the model with additive heterogeneity is non...

It is shown, that the geometrical objects of Batalin-Vilkovisky formalism– odd symplectic structure and nilpotent operator ∆ can be naturally uncorporated in Duistermaat–Heckman localization procedure. The presence of the supersymmetric bi-Hamiltonian dynamics with even and odd symplectic structure in this procedure is established. These constructions can be straightly generalized for the path-...

In this paper, we establish sharp bounds on the distribution of the treatment effect in switching regimes models or generalized sample selection models in Heckman (1990). These bounds depend on the identified model parameters only and hence are themselves identified. Their estimation is straightforward once the identified model parameters are estimated. We compare our bounds when the identified...

The Heckman selection model is perhaps the most popular econometric in analysis of data with sample selection. analyses this are based on normality assumption for error terms, however, some applications, distribution term departs significantly from normality, instance, presence heavy tails and/or atypical observation. In paper, we explore selection-t where random errors follow a bivariate Stude...