The time budget in socio-demographic statistics

The paper describes a Polish time budget survey conducted in 1976 on a rotation sample of the whole (non-agricultural and agricultural) adult population. Different time budget indicators are presented and their linkages with other statistical data and usefulness for social policy formulation and evaluation are discussed. Some new time indicators, not used in previous surveys, are recommended. Usefulness of time budged surveys for assessing an account of labor force and investigating of the social distribution of labor time as well as leisure time is underlined. The possibility of using time budget data for analyses of the social distribution of some welfare outlays in the field of cultural participation and consumption is also indicated. The paper is concerned with some methodological problems and the applicability of time budget research, rather than a comprehensive presentation of survey results.     

Note on the Cramér-Rao inequality in the nonregular case: the family of uniform distributions

We consider the family of uniform distributions with range of unit length. The main result of this note asserts that the average variance of any unbiased estimator of the midpoint of the range is not less than (2(n+1))(n+2))^-1 and this lower bound is sharp. The proof is based upon a nonregular version of the Cramér-Rao inequality.     

Demographic characteristics,work complexity and economic setting as social status determinants

Various aspects of social standing are significantly, though differently, determined by demographic characteristics, by employment in different economic sectors and industries, and by work complexity. Various sectors and industries influence differently status achievement, and are characterized by different configurations of status determinants of their workforces. The public (government) sector is more meritocratic than the private one, as far as income is concerned. Also, the male achievement pattern seems to be more meritocratic, while the female pattern is more sensitive to transient influences. The indicators of socio-economic status, occupational prestige and income reflect separate dimensions of social standing. The indicators of work complexity with data, people and things are good predictors of individual's social position.     

Decades of research on market entry modes: What do we really know about external antecedents of entry mode choice?

The choice of a mode of market entry is a critical component of the internationalization strategy, and numerous empirical studies have focused on this topic. Prior research, however, has provided mixed empirical evidence and thus, is difficult to interpret and review.This study examines the external antecedents of the choice of entry mode by meta-analyzing data from 72 independent primary studies. We focus on the decision between wholly owned subsidiaries and cooperative entry modes. For each variable, hypotheses about the theoretically expected direction of effect are posited and tested.We find a strong positive relationship between power distance as a cultural trait of the firm's home country and the propensity to establish a wholly owned subsidiary. On the other hand, we find a negative association between country risk, legal restrictions, market growth, and market size and the preference for wholly owned subsidiaries. We extensively discuss the implications of the meta-analytical results and investigate moderating effects of industry type and the time of the study. The relationship between income level of the host country and entry mode depends, to some degree, on the industry type. Service companies exhibit a negative relationship between income level and wholly owned subsidiaries, while manufacturing companies show a positive relationship.     

Shorter hours wanted? A systematic review of working-time preferences and outcomes

Changes in working time have important economic, social and environmental implications. However, research on workers' preferences is highly fragmented across disciplines and journals. To overcome this, the present article provides a systematic review of the literature, analysing 173 studies. The study shows that working-time outcomes and mismatches are mostly studied in a small group of OECD countries, using survey data and statistical methods. The most clear and consistent results are about gender, care responsibilities and current working hours. Among professions, only the medical workforce receives substantial attention. Norms and preference formation are poorly understood, and more qualitative research is essential to understand how working-time reductions could spread.     

Objective Bayesian Analysis of an Exponential Regression Model with Constrained Parameters Applied to Animal Digestibility

In animal digestibility the proportion of degraded food along the time has usually been modeled as a normal random variable with mean a function of the time and the following three parameters: the proportion of degraded food almost instantaneously, remaining proportion of food to be degraded, and velocity of degradation. The estimation of these parameters has been carried out mainly from a frequentist viewpoint by using the asymptotic distribution of the maximum likelihood estimator. This may give inadmissible estimates, such as values outside of the range of the parameters. This drawback could not appear if a Bayesian approach were adopted. In this article an objective Bayesian analysis is developed and illustrated on real and simulated data.     

The Poisson-conjugate Lindley mixture distribution

ABSTRACT

A new discrete distribution that depends on two parameters is introduced in this article. From this new distribution the geometric distribution is obtained as a special case. After analyzing some of its properties such as moments and unimodality, recurrences for the probability mass function and differential equations for its probability generating function are derived. In addition to this, parameters are estimated by maximum likelihood estimation numerically maximizing the log-likelihood function. Expected frequencies are calculated for different sets of data to prove the versatility of this discrete model.     

Inference in log-alpha-power and log-skew-normal multivariate models

ABSTRACT

Random vectors with positive components are common in many applied fields, for example, in meteorology, when daily precipitation is measured through a region Marchenko and Genton (2010 Marchenko, Y., Genton, M. (2010). Multivariate log-skew-elliptical distributions with applications to precipitation data. Environmetrics 21:318–340.[Crossref], [Web of Science ®] , [Google Scholar]). Frequently, the log-normal multivariate distribution is used for modeling this type of data. This modeling approach is not appropriate for data with high asymmetry or kurtosis. Consequently, more flexible multivariate distributions than the log-normal multivariate are required. As an alternative to this distribution, we propose the log-alpha-power multivariate and log-skew-normal multivariate models. The first model is an extension for positive data of the fractional order statistics model Durrans (1992 Durrans, S. (1992). Distributions of fractional order statistics in hydrology. Water Resour. Res. 28:1649–1655.[Crossref], [Web of Science ®] , [Google Scholar]). The second one is an extension of the log-skew-normal model studied by Mateu-Figueras and Pawlowsky-Glahn (2007 Mateu-Figueras, G., Pawlowsky-Glahn, V. (2007). The skew-normal distribution on the simplex. Commun. Stat.-Theory Methods 36:1787–1802.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). We study parameter estimation for these models by means of pseudo-likelihood and maximum likelihood methods. We illustrate the proposal analyzing a real dataset.     

An Alternative to Transfer Function Forecasting Based on Subspace Methods

In the time series literature, recent interest has focused on the so-called subspace methods. These techniques use canonical correlations and linear regressions to estimate the system matrices of an ARMAX model expressed in state space form. In this article, we use subspace methods to forecast two series with the help of some exogenous variables related to them. We compare the results with those obtained using traditional transfer function models and find that the forecasts obtained with both methods are similar. This result is very encouraging because, in contrast to transfer function models, subspace methods can be considered as almost automatic.     

First and Second Derivatives in Time Series Classification Using DTW

In our previous work, we developed a new distance function based on a derivative and showed that our algorithm is effective. In contrast to well-known measures from the literature, our approach considers the general shape of a time series rather than standard distance of function (value) comparison. The new distance was used in classification with the nearest neighbor rule. Now we improve on our previous technique by adding the second derivative. In order to provide a comprehensive comparison, we conducted a set of experiments, testing effectiveness on 47 time series datasets from a wide variety of application domains. Our experiments show that this new method provides a significantly more accurate classification on the examined datasets.