Exploitation of a crisp relation in a ranking problem

The outranking methods usually contain two main steps: determination of a (sometimes valued) relation which aggregates the preferences and exploitation of this relation in order to choose, sort or rank the actions. In a ranking problem, the second step is the construction of a (complete or partial) preorder from a (valued) relation. We have considered it was interesting to list the good properties such a construction should verify and to analyze some procedures in this context. We present here the first results of this study, which concern the construction of a complete preorder from a non valued relation.     

Cross-National Variation in Violent Crime Rates: Race, r-K Theory, and Income

Rushton's theory of r-K race differences was examined in relation to the rate of murder, rape, and serious assault per 100,000 population and Gross Domestic Product per Person for 74 countries from the 1993–1996 International Crime Statistics published by INTERPOL and the 1999 CIA World Fact Book. Each country was assigned to one of the three macro-races East Asian, European, and African. The results corroborated earlier findings that violent crime is lowest in East Asian countries, intermediate in European countries, and highest in African and in Black Caribbean countries. The median number of violent crimes per 100,000 population were: 7 East Asian countries—34; 45 European countries—42; and 22 African and Black Caribbean countries—149, respectively. The median Gross Domestic Product per Person was highest in East Asian countries ($12,600), intermediate in European countries ($7,400), and lowest in African and Black Caribbean countries ($1,900). Across the three population groups there was an ecological correlation of –.96 between crime and wealth (wealthier countries had less crime). Finer-grained analyses, however, found that while wealth was negatively related to crime across European or East Asian countries, it was positively related to crime for the African and Black Caribbean countries (i.e., the wealthier an African or Black Caribbean country, the greater its rate of violent crime). Future research needs to examine genetic factors in addition to cultural factors as well as their interactions.     

At what price should Bordeaux wines be released?

This paper models optimal release prices of an experience good recurrently issued on markets. Using a sample of Bordeaux wines, we find that using a minimal number of intrinsic and extrinsic attributes is sufficient to explain a large proportion of release prices. We further observe a significant relationship between primary market prices and secondary market prices and general economic conditions. Release prices can deviate from secondary market prices in the short run but remain aligned over the long run. Finally, an out-of-sample analysis indicates that short-run mispricing directly affects the purchase behavior of customers.     

Refugee Family Voices: Shelter Needs in Iraqi Kurdistan

The shelter needs of refugees in Iraqi Kurdistan were documented by local government and humanitarian organizations. However, official narratives do not include the “voices” of those directly affected by inadequate shelter: the refugee families themselves. This study uses a mixed‐methods approach to understand the shelter issues experienced by 53 refugee families in Iraqi Kurdistan. Refugee families disclosed seven common shelter problems: water infiltration, lack of public services and schools, inadequate access to water, poor roads, extreme temperatures, need for larger living space and erratic electricity. These families faced an average of three shelter issues, with some dealing with up to five problems at the same time. Families with the highest concentration of shelter issues had higher occurrences of water infiltration, inadequate access to water, extreme temperatures and need for larger living space. The evidence suggests that refugee families are living in worse conditions than those outlined in official narratives.     

Sensitivity Analyses of the Economic and Economic Statistical Designs of the Multivariate Synthetic T2 Chart

This article performs a sensitivity analyses of the synthetic T² chart using fractional factorial design, which integrates the interaction effects. We are interested in the effects of the input parameters on the optimal cost, chart's parameters, and average run lengths. We also look at the input parameters responsible for the increase in cost and improvement in statistical performance under statistical constraints, and investigate how the input parameters influence the binding effect of the statistical constraints. The sensitivity analyses of the synthetic T² chart are compared with that of the Hotelling's T² chart, and parameters responsible for the cost advantage of the synthetic T² chart are identified.     

Autoregressive Forecasting of Some Functional Climatic Variations

Many variations such as the annual cycle in sea surface temperatures can be considered to be smooth functions and are appropriately described using methods from functional data analysis. This study defines a class of functional autoregressive (FAR) models which can be used as robust predictors for making forecasts of entire smooth functions in the future. The methods are illustrated and compared with pointwise predictors such as SARIMA by applying them to forecasting the entire annual cycle of climatological El Nino–Southern Oscillation (ENSO) time series one year ahead. Forecasts for the period 1987–1996 suggest that the FAR functional predictors show some promising skill, compared to traditional scalar SARIMA forecasts which perform poorly.     

LOCATION OF PARTICULAR POINTS IN NON-PARAMETRIC REGRESSION ANALYSIS

In the random-design non-parametric regression model, the locations of particular values of the regression function or its derivatives are estimated. This paper investigates several stochastic modes of convergence and finds their rate of convergence under regularity assumptions, for a wide class of non-parametric estimators. The approach finds two natural fields of application: estimation of zeros/extrema and non-parametric absolute calibration.     

Identification of Nonseparable Triangular Models With Discrete Instruments

We study the identification through instruments of a nonseparable function that relates a continuous outcome to a continuous endogenous variable. Using group and dynamical systems theories, we show that full identification can be achieved under strong exogeneity of the instrument and a dual monotonicity condition, even if the instrument is discrete. When identified, the model is also testable. Our results therefore highlight the identifying power of strong exogeneity when combined with monotonicity restrictions.     

CREDIT CONSTRAINTS AND THE CYCLICALITY OF R&D INVESTMENT: EVIDENCE FROM FRANCE

We use a French firm‐level data set containing 13,000 firms over the period 1994–2004 to analyze the relationship between credit constraints and firms’ R&D behavior over the business cycle. Our main results can be summarized as follows: (i) R&D investment is countercyclical without credit constraints, but it becomes procyclical as firms face tighter credit constraints; (ii) this result is only observed for firms in sectors that depend more heavily upon external finance, or that are characterized by a low degree of asset tangibility; (iii) in more credit‐constrained firms, R&D investment plummets during recessions but does not increase proportionally during upturns.