This paper aims at investigating the impact of migration on fertility, knowledge of contraceptive methods and preventive child health care in Mexico. A nationally representative demographic survey ENADID (National Survey of Demographic Dynamics) for the years 1997 and 2006 is used. In order to address the possible endogeneity of migrant status, an instrumental variable approach is employed: his...

In this paper we consider the use of fuzzy modelling in the context of econometric analysis of both time-series and cross-section data. We discuss and demonstrate a semi-parametric methodology for model identification and estimation that is based on the Fuzzy c-Means algorithm that is widely used in the context of pattern recognition, and the Takagi-Sugeno approach to modelling fuzzy systems. T...

We test an explanatory model of Internet firm duration after their initial public offerings (IPOs) using a Cox proportional hazards model and a semi-parametric Bayesian survival analysis. The empirical model shows that industry-, firmand e-commerce related variables, such as the entry of competing IPOs and the selling of digital products or services, can reduce an Internet firm’s hazard rate. I...

The problem of structural change justifiably attracts considerable attention in econometrics. A number of different paradigms have been adopted ranging from structural breaks which are sudden and rare to time varying coefficient models which exhibit structural change more frequently and continuously. This paper is concerned with parametric econometric models whose coefficients change determinis...

In this paper we consider a semiparametric version of the test for seasonal unit roots suggested by Hylleberg, Engle, Granger, and Yoo (1990, Journal of Econometrics 44, 215–238)+ The asymptotic theory is based on the analysis of a simple regression problem, and the results apply to tests at any given frequency in the range ~0,p#+ Monte Carlo simulations suggest that the test may have more powe...

Among the various discriminant analysis (DA) methods, researchers have investigated several directions in this area: statistics, econometrics, computer data mining technologies and mathematical programming. Recently, as a nonparametric mathematical programming approach, Data envelopment analysis has been applied in DA area and received great attention. In this paper, we propose a new discrimina...

Copula as an effective way of modeling dependence has become more or less a standard tool in risk management, and a wide range of applications of copula models appear in the literature of economics, econometrics, insurance, finance, etc. How to estimate and test a copula plays an important role in practice, and both parametric and nonparametric methods have been studied in the literature. In th...

Motivation • Seasonal long memory is gaining attention as a time series model in econometrics and the physical sciences. { Arteche and Robinson (2000) proposed log-periodogram regression and Gaussian semi-parametric estimation for seasonal long-memory processes. • The discrete wavelet transform (DWT) is a useful alternative to the discrete Fourier transform for the analysis and synthesis of lon...

Classical hypothesis testing plays a central role in econometrics, but in many applied problems we face a preliminary stage of the analysis in which we need to make decisions about model specification. These decisions are not very well formalized in terms of classical hypothesis testing, and gradually specialized procedures have been developed for this under the rubric “model selection.” In thi...

Decomposing volatilities into a common market-driven component and an idiosyncratic itemspecific one is an important issue in financial econometrics. This, however, requires the statistical analysis of large panels of time series, hence faces the usual challenges associated with highdimensional data. Factor model methods in such a context are an ideal tool, but they do not readily apply to the ...