Child Care Choices in Spain

In this paper we examined the determinants of child care choices among families with young children in Spain, by means of a conceptual framework that encompassed need, costs, and availability. Based on data from the Spanish Time Use Survey and Household Budget Survey, our study indicated that, regardless of model specification, the age of the child, the mother’s labor force decisions, and the prices of child care services available were the most important factors that mothers considered when they chose a type of child care. Day care center services substituted for babysitters when the price of babysitters rose; and relative and parent care substituted for day care centers when these services became more expensive. We found no different sensitivity to price changes for working and non-working mothers. From a public policy perspective, child care price subsidies were found to have much stronger effects on child care decisions than child allowances or public provision of school slots.     

Minimum local distance density estimation

We present a local density estimator based on first-order statistics. To estimate the density at a point, x, the original sample is divided into subsets and the average minimum sample distance to x over all such subsets is used to define the density estimate at x. The tuning parameter is thus the number of subsets instead of the typical bandwidth of kernel or histogram-based density estimators. The proposed method is similar to nearest-neighbor density estimators but it provides smoother estimates. We derive the asymptotic distribution of this minimum sample distance statistic to study globally optimal values for the number and size of the subsets. Simulations are used to illustrate and compare the convergence properties of the estimator. The results show that the method provides good estimates of a wide variety of densities without changes of the tuning parameter, and that it offers competitive convergence performance.     

ESTIMATING MARKET POWER IN HOMOGENOUS PRODUCT MARKETS USING A COMPOSED ERROR MODEL: APPLICATION TO THE CALIFORNIA ELECTRICITY MARKET

This study proposes a novel econometric approach to estimating market power in homogenous product markets. We use a composed error model to estimate the stochastic part of firms' strategic pricing equation. This part is formed by two random variables: a traditional error term, which captures random shocks, and a random conduct term, which measures the degree of market power. This approach allows for the conduct parameter to vary flexibly across firms and within firms over time, and avoids ad hoc structural restrictions for identifying firms' conduct. The empirical application of our approach is based on a well‐known California wholesale electricity market data set, which has been rigorously used to study market power. Our results suggest that realization of market power varies over both time and firms, and reject the assumption of a common or time‐invariant conduct parameter. (JEL C34, C51, L13, L94)     

Becoming a Marriage, Family and Child Counselor: Notes from a Chicano

Becoming a licensed Marriage, Family and Child Counselor (MFCC) in California is presented from a Chicano's perspective based on the author's own training. He reports that 1) there is a need for Chicanos trained extensively in marriage and family counseling to serve the large Mexican American population; 2) MFCC is a growing profession yet few Chicanos are entering it; 3) few Chicano professionals are involved in the training, teaching and supervision of marriage and family counselors; and 4) the state licensing board and the two marriage and family counselors' associations do not identify minority counselors nor those who provide Spanish speaking services .     

Do Temporary Contracts Increase Work Accidents? A Microeconometric Comparison between Italy and Spain

Abstract. This paper analyses the effect of contract type on the rate of work‐related accidents in Italy and Spain, using the 1999 Labour Force Survey ‘ad hoc module’. We find that, once personal and job characteristics of workers are controlled for, the differences in the probability of suffering a work accident between open‐ended and temporary workers vanish. Furthermore, following a novel decomposition analysis by Yun, we obtain that personal and job characteristics tend to increase the probability of having an accident for temporary workers, but the specific influence of contract type favours the latter, who show a lower probability on this account.     

Analyzing Precautionary Regulation: Do Precaution,Science, and Innovation Go Together?

In this article we argue that the precautionary principle, as applied to the regulation of science and technology, cannot be considered in any general manner inconsistent with the norms and methods of scientific knowledge generation and justification. Moreover, it does not necessarily curtail scientific‐technological innovation. Our argument flows from a differentiated view of what precaution in regulation means. We first characterize several of the most relevant interpretations given to the precautionary principle in academic debate and regulatory practice. We then use examples of actual precaution‐based regulation to show that, even though science can have varying functions in different circumstances and frames, all of those interpretations recur to scientific method and knowledge, and tend to imply innovation in methods, products, and processes. In fact, the interplay of regulation and innovation in precautionary policy, at least in the case of the interpretations of precaution that our analysis takes into account, could be understood as a way of reconciling the two fundamental science and technology policy functions of promotion and control.