Compendio del catecismo de perseverancia ó exposición histórica,dogmática, moral, litúrgica... hasta nuestros días

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Prontuario de la teología moral

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Catecismo de perseverancia o : Exposición histórica dogmática, moral, litúrgica, apologética, filosófica y social de la religión, desde el principio del mundo hasta nuestros días

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La verdad religiosa : Exposición histórica filosófica moral y social de las doctrinas del protestantismo y el filosofismo

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Tratado breve teológico-moral de los sacramentos en general

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Guía práctico canónico-moral del sacerdote cerca de los enfermos;ó sea, El índice práctico moral para sacerdotes que confiesan moribundos

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Sinopsis literal, moral e histórica de los ritos y ceremonias de la misa, conforme al misal romano

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Las provinciales, o cartas de Luis de Montalte a un provincial de sus amigos y a los RR.PP. jesuitas sobre la moral y política de éstos

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Historia natural y moral de las indias

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Markovian Processes, Two-Sided Autoregressions and Finite-Sample Inference for Stationary and Nonstationary Autoregressive Processes.

In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only require the existence of conditional densities. They are proved for possibly nonstationary and/or non-Gaussian multivariate Markov processes. In the context of a linear regression model with AR(1) errors, we show how these results can be used to simplify the distributional properties of the model by conditioning a subset of the data on the remaining observations. This transformation leads to a new model which has the form of a two-sided autoregression to which standard classical linear regression inference techniques can be applied. We show how to derive tests and confidence sets for the mean and/or autoregressive parameters of the model. We also develop a test on the order of an autoregression. We show that a combination of subsample-based inferences can improve the performance of the procedure. An application to U.S. domestic investment data illustrates the method.

La moral social ó: deberes del Estado y de los Ciudadanos en todo cuanto tiene relación con la propiedad; la familia, la educación..

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Dealing with Moral Hazard and Adverse Selection Simultaneously

Although Insurers Face Adverse Selection and Moral Hazard When They Set Insurance Contracts, These Two Types of Asymmetrical Information Have Been Given Separate Treatments Sofar in the Economic Literature. This Paper Is a First Attempt to Integrate Both Problems Into a Single Model. We Show How It Is Possible to Use Time in Order to Achieve a First-Best Allocation of Risks When Both Problems Are Present Simultaneously.

Statistical Inference for Computable General Equilibrium Models with Application to a Model of the Moroccan Economy

We study the problem of measuring the uncertainty of CGE (or RBC)-type model simulations associated with parameter uncertainty. We describe two approaches for building confidence sets on model endogenous variables. The first one uses a standard Wald-type statistic. The second approach assumes that a confidence set (sampling or Bayesian) is available for the free parameters, from which confidence sets are derived by a projection technique. The latter has two advantages: first, confidence set validity is not affected by model nonlinearities; second, we can easily build simultaneous confidence intervals for an unlimited number of variables. We study conditions under which these confidence sets take the form of intervals and show they can be implemented using standard methods for solving CGE models. We present an application to a CGE model of the Moroccan economy to study the effects of policy-induced increases of transfers from Moroccan expatriates.