Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

Does One Size Fit All? A currency union with asymmetric transmissions and a stability pact

The theory of optimal currency areas stresses that a single currency zone should have symmetry across shocks and structures. What happens if the monetary transmission mechanisms differ so that a common monetary policy has different effects in different places? Using a fully specified econometric model, we find that such asymmetries are likely to destabilise the business cycle and put countries out of phase with each other in a way that cannot be corrected by deficit-constrained national fiscal policies. Market discipline, however, could achieve this. Hence, the question is whether the markets would create sufficient discipline on their own.     

Quantitative narrative analysis software options compared: PC-ACE and CAQDAS (ATLAS.ti, MAXqda, and NVivo)

This paper shows how to carry out quantitative narrative analysis (QNA) with different text analysis software (PC-ACE, Program for Computer-Assisted Coding of Events, and various CAQDAS programs, Computer-Assisted Qualitative Data Analysis Software: ATLAS.ti, MAXQDA, and NVivo). QNA is a methodological approach to narrative texts that exploits invariant properties of narrative (namely, a “story grammar”, based on actors, actions, and their attributes) to make a statistical analysis of words possible. In comparing PC-ACE and CAQDAS, the paper leads the reader through the steps involved in setting up a grammar, in data entry, and in data query. A careful comparison of limits and possibilities of the two types of software will allow the reader interested in QNA to make an informed choice between a full implementation of QNA in a specialized but unknown software (PC-ACE) and a limited implementation in any of the widely used and popular CAQDAS programs.     

A piecewise linear model of credit traps and credit cycles: a complete characterization

We reconsider a regime-switching model of credit frictions which has been proposed in a general framework by Matsuyama for the case of Cobb–Douglas production functions. This results in a piecewise linear map with two discontinuity points and all three branches having the same slope. We offer a complete characterization of the bifurcation structure in the parameter space, as well as of the attracting sets and related basins of attraction in the phase space. We also discuss parameter regions associated with overshooting, leapfrogging, poverty traps, reversal of fortune and growth miracle, as well as cycles with any kind of switching between the expansionary and contractionary phases.     

What money buys: clients of street sex workers in the US

The article presents a review of current theoretical and empirical approaches to sex work, followed by the presentation of an original theoretical framework (Della Giusta et al., 2006), which is tested with an econometric model of the characteristics of demand for sex services by a sample of clients of street sex workers in the US. We present findings in relation to stigma and the relationship between paid and unpaid sex that corroborate our model's hypotheses and are in line with findings from other empirical studies. Furthermore, we identify in our sample two diametrically opposite profiles: one for clients whom we label ‘experimenters’, and one for more experienced ones that we name ‘regulars’, we also estimate attitudes toward risk, and draw implications in terms of both policy and future theoretical and empirical research.     

Analysing the risk premium in the Italian stock market: ARCH-M models versus non-parametric models

This Paper investigates the variability of the risk premium in the Italian stock market, over the period 1978–89. We have modelled voatility using two different approaches: ARCH-M models and non-parametric models. The estimate of the ARCH-M models confirm the existence of both an ARCH process in the variance and a time-varying risk premium. Also the non-parametric specification confirms the existence of a time varying risk premium. Moreover in both models the acceleration in the inflation rate has a negative effect on stock prices.     

Compensating wage differentials for job stress

Recent medical studies have demonstrated a strong relationship between mental stress and cardiac events such as myocardial infarction and stroke. In the workplace, stress once accounted for less than 5% of all occupational disease claims, but it now accounts for over 15%. Although research on the effects of mental stress is increasing, few studies offer an economic perspective. In this paper, we examine the effects of job stress on weekly wages and explore the possibility that stress commands a compensating wage differential. Our findings suggest that, ceteris paribus, a wage differential does exist between workers experiencing mental stress and their ‘non-stressed’ cohorts. After controlling for other demographic and occupational factors, we found a statistically significant wage premium ranging from 3 to 10% attributable to mental stress. In addition, the magnitude of the differential varies by gender.     

Patient intensity in an ambulatory oncology research center: A step forward for the field of ambulatory care--Part II

Nursing leaders in ambulatory care need to objectively quantify patient intensity to balance patient care needs and nursing resources. In this three-part series, current literature on acuity/intensity tools will be reviewed, and the development of an Ambulatory Intensity System (AIS) to objectively quantify nursing care will be described. In this article, the ongoing implementation of the system, its incorporation into the organization's established computerized appointment system, reliability measures, and related performance improvement activities will be discussed.     

The effect of opposite sex siblings on cognitive and noncognitive skills in early childhood

We investigate the effect of having opposite sex siblings on cognitive and noncognitive skills of children in the United States at the onset of formal education. Our identification strategy rests on the assumption that, conditional on covariates, the sibling sex composition of the two firstborn children in a family is arguably exogenous. With regard to cognitive skills, learning skills and self-control measured in kindergarten, we find that boys benefit from having a sister, while there is no effect for girls. We also find evidence for the effect fading out as early as first grade.     

Is Private R & D Spending Sensitive to Its Price? Empirical Evidence on Panel Data for Italy

In this paper empirical evidence is presented on theelasticity of private R & D spending on its price. Acensored panel-data regression model with random effectsis applied to a balanced panel of 726 Italian firms overthe 1992–1997 period. Implied estimates point out thatItalian firms' response to policy measures (including taxcredits), aimed at reducing the user cost of R & D capital,is likely to be substantial (1.50–1.77). Furthermore, wealso find that the elasticity of R & D spending is higherin recession (2.01) than in expansion (0.87).