Minimum wage and restaurant hygiene violations: Evidence from Seattle

We study the association between the minimum wage and food establishment hygiene violations between Seattle (the treated city) and Bellevue (the control city), both cities located in King County and sharing the same health inspection department. An increase in the real minimum wage of $0.25 is associated with an increase of at least 8% in total and less severe (blue) hygiene violation scores for food establishments in Seattle. We find mixed support for the increase in more severe (red) violations. A decline in employment with an increase in minimum wage could be driving the increases in hygiene violations.     

Corporate financial distress: The case of publicly listed firms in an emerging market economy

Occurrences of financial distress (FD) are not readily obvious yet can span several periods. This paper examines episodes of FD using industry‐relative (IR) firm‐/ accounting‐, market‐ and macro‐level information. Mixed logit regressions reveal that firm‐ and market‐based measures, as well as macro‐level variables explain the likelihood of FD in 263 publicly listed non‐banking firms in the Philippines during the period 1995 to 2018. Rates of identification of firms in financial distressed states of close to 69 percent are obtained at a cutoff probability of 0.30 in the model with time‐varying intercept and slope. This study shows the importance of recognizing heterogeneous firm behavior. The ability to more accurately predict the probability of FD and to determine the financial health of firms can help financial institutions in allocating funds and policy makers in predicting crises episodes.     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Productivity and efficiency of state-owned enterprises in China

The purpose of this paper is to evaluate the variations in SOE efficiency and productivity from the perspectives of macroeconomic fluctuations and systematic reform in China during 1986–2003. We use Data Envelopment Analysis to measure SOE efficiency. Subsequently, we use the Malmquist Index of Productivity change to measure productivity growth. The empirical results show that SOE efficiency and productivity exhibited obvious improvements during periods of strong systematic reform and a prosperous economy. The systematic reform after 1998 had a clear-cut impact on SOE performance.

The Relationship Among Union Membership, Facets of Satisfaction and Intent to Leave: Further Evidence on the Voice Face of Unions

This study examined the impact of union membership on employees’ intent to leave their jobs across a number of facets of satisfaction, as a further test of unions’ voice face. Among the findings were that there were significant relationships between job, compensation, benefits, working conditions, and immediate supervisor satisfaction and intent to leave one’s job for nonunion employees. In contrast, only the relationship between job satisfaction and intent to leave was significant for union employees. Finally, over the facets of satisfaction where one would expect unions to have the most influence, the relationship between intent to leave one’s job and satisfaction was greater for nonunion employees than for union employees. These results provide a great deal of support for the effect of unions’ voice face.

Publish or peer-rich? The role of skills and networks in hiring economics professors

This paper analyzes the determinants of success at the concours d'agrégation en sciences économiques. This is a centralized hiring procedure through which professors of economics are selected in France. Using detailed data from all concours held between 1984 and 2003, we focus on the role of the candidates' publication records (number and quality of articles) and networks (defined as professional links between candidates and the jury members who take the recruitment decisions). Both sets of variables have statistically significant effects on the likelihood of getting hired. The effect of network connections is important in the sense that a substantial improvement of the publication record is needed to compensate for not being linked to the jury.     

Combining Matching and Nonparametric Instrumental Variable Estimation: Theory and An Application to the Evaluation of Active Labour Market Policies

We show how instrumental variable and matching estimators can be combined in order to identify a broader array of treatment effects. Instrumental variable (IV) estimators are known to estimate effects only for the compliers, representing a subset of the entire population. By combining IV with matching, we can estimate the treatment effects for the always‐ and never‐takers as well. Since in many cases these groups are the (endogenous) outcome of some assignment process, such estimates also help in judging the implications of such a selection process. In our application to the effects of participation in active labour market programmes in Switzerland, we find large and lasting positive employment effects for the compliers, whereas the effects for the always‐ and never‐participants are small. In addition, the compliers have worse employment outcomes without treatment than those who participate in the programme with or without the intervention under investigation. This suggests that the earlier assignment policy of the caseworkers was inefficient in that the always‐participants were neither those unemployed who would experience the highest expected treatment effects nor those unemployed who had the largest need for assistance. Copyright © 2014 John Wiley & Sons, Ltd.     

The Development of Statistical Computing at Rothamsted

An account is given of the development of statistical computing at Rothamsted. It is concerned mainly with the period from 1954 (when the first electronic computer was delivered) until 1985 (when this article was written). Initially, many specialised programs were written, but it was soon realised that, for efficiency, general‐purpose programs—each unifying many statistical techniques—were required. The development of these programs was gradual and required corresponding developments in statistical theory. Now, the bulk of statistical work, not only for Rothamsted but also for the Agricultural and Food Research Service (AFRS) as a whole, is covered by a few programs, notably Genstat that has an international market. Further developments of these programs are required to make them more accessible to scientists who are not well versed in statistics and to take advantage of technological advances.