Flood Risk,Flood Mitigation,and Location Choice: Evaluating the National Flood Insurance Program's Community Rating System

Climate change is expected to worsen the negative effects of natural disasters like floods. The negative impacts, however, can be mitigated by individuals’ adjustments through migration and relocation behaviors. Previous literature has identified flood risk as one significant driver in relocation decisions, but no prior study examines the effect of the National Flood Insurance Program's voluntary program—the Community Rating System (CRS)—on residential location choice. This article fills this gap and tests the hypothesis that flood risk and the CRS‐creditable flood control activities affect residential location choices. We employ a two‐stage sorting model to empirically estimate the effects. In the first stage, individuals’ risk perception and preference heterogeneity for the CRS activities are considered, while mean effects of flood risk and the CRS activities are estimated in the second stage. We then estimate heterogeneous marginal willingness to pay (WTP) for the CRS activities by category. Results show that age, ethnicity and race, educational attainment, and prior exposure to risk explain risk perception. We find significant values for the CRS‐creditable mitigation activities, which provides empirical evidence for the benefits associated with the program. The marginal WTP for an additional credit point earned for public information activities, including hazard disclosure, is found to be the highest. Results also suggest that water amenities dominate flood risk. Thus, high amenity values may increase exposure to flood risk, and flood mitigation projects should be strategized in coastal regions accordingly.     

How much reliable are the integrated ‘live’ data? A validation strategy proposal for the non-parametric micro statistical matching

The integration of different data sources is a widely discussed topic among both the researchers and the Official Statistics. Integrating data helps to contain costs and time required by new data collections. The non-parametric micro Statistical Matching (SM) allows to integrate ‘live’ data resorting only to the observed information, potentially avoiding the misspecification bias and speeding the computational effort. Despite these pros, the assessment of the integration goodness when we use this method is not robust. Moreover, several applications comply with some commonly accepted practices which recommend e.g. to use the biggest data set as donor. We propose a validation strategy to assess the integration goodness. We apply it to investigate these practices and to explore how different combinations of the SM techniques and distance functions perform in terms of the reliability of the synthetic (complete) data set generated. The validation strategy takes advantage of the relation existing among the variables pre-and-post the integration. The results show that ‘the biggest, the best’ rule must not be considered mandatory anymore. Indeed, the integration goodness increases in relation to the variability of the matching variables rather than with respect to the dimensionality ratio between the recipient and the donor data set.     

Experienced harms from substance use among college students: A latent class analysis

ABSTRACT

Many college students experience personal consequences from their own substance use as well as secondhand effects resulting from other students’ substance use. Our study identifies meaningful subgroup response patterns representing the construct of experienced harms, that is, the combined harms resulting from personal substance use and the substance use of others. In this sample six latent classes of harms experienced by participants were identified. The classes ranged from a No Harms group to a group of eleven harms – Severe Harms. We demonstrated that harms class membership was directly related to the level of involvement with substances. As the level of substance use increased – demonstrated by membership in latent classes of progressive involvement with substances – the odds of membership in a more serious experienced harms class increased. Participants reporting early onset of any substance were more likely to be members in any of the experienced harms latent classes than members of the No Harms class. Elucidating the exposure to harm associated with college student substance use behavior through an expanded focus on the patterns of experienced effects (i.e., personal consequences and secondhand effects) advances current research on a nationally-recognized problem.     

Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts

The objective of this paper is to compare and discuss the role of farm-household surveys and farm-household models in assessing the impact of the Common Agricultural Policy reforms, focusing in particular on the effects of 2003 decoupling on farm investment behaviour. The paper compares two specific approaches: (i) in-depth face-to-face interviews with farm-householders and (ii) mathematical programming models of individual farm-households. The effects of decoupling estimated by these two approaches coincide in a majority of cases, while the differences suggest relevant complementarities. Altogether the paper suggests a wider scope for using mixed methodologies in assessing CAP policy impacts.     

Secondhand Effects of Substance Use for Rural College Students

This pilot study addresses a gap in the research with rural college students by examining substance use secondhand effects for students at a rural northeastern college. Students (N = 157) participated in a web-based survey on their substance use behaviors and their experiences of secondhand effects during the school year. Many students reported experiencing secondhand effects including, 66.9% having cared for an intoxicated student, 52.2% having sleep or study interruption, 33.1% being insulted or humiliated, and 22.9% experiencing an unwanted sexual advance. Compared to men, a greater proportion of women reported experiencing the secondhand effects of: caring for intoxicated others (women 76.7% vs. men 54.9%; χ² = 8.3, df = 1, p = .004), having a serious argument (women 37.2% vs. men 15.5%; χ² = 9.2, df = 1, p = .002), and having sleep or study interrupted (women 59.3% vs. men 43.7%; χ² = 3.8, df = 1, p = .05).     

Exploring the association between alcohol,marijuana, and secondhand effects with rural college students

ABSTRACT

The current study investigated the association between secondhand effects and personal consequences with substance use in a sample of rural college students (N = 412; 55.1% women; 92.2% white/non-Hispanic). The study extends the body of secondhand effects research by (a) investigating the association of marijuana use with the experience of secondhand effects; (b) examining the association of onset risk of substance use (< 18 years old) with the experience of secondhand effects; (c) exploring the multiplicity of experienced effects associated with substance use by employing a four-category typology that exhaustively represents exposure to secondhand effects and personal consequences. Bivariate and multiple regression analyses were used to evaluate the data. The majority of students (90.3%) experienced undesirable effects from substance use, with 15% reporting only secondhand effects, 28.5% only personal consequences, and 46.8% reporting both secondhand effects and personal consequences. Residing on-campus, onset risk, and past 30-day alcohol or marijuana use increased risk for experiencing personal consequences and the combination of secondhand effects and personal consequences. Secondhand effects are likely to compound the harm for substance users because they often experience both secondhand effects and personal consequences.     

Effects of fragmentation and trampling on carabid beetle assemblages in urban woodlands in Helsinki, Finland

We studied the effects of fragmentation (edge effects and patch size) and trampling (path cover) on carabid beetle assemblages in urban woodland patches in Helsinki, Finland. We expected that (1) open habitat and generalist species would benefit and forest species would suffer from increased woodland fragmentation, and (2) most carabid species would respond negatively to increased levels of trampling. A total of 2088 carabid individuals representing 37 species were collected. A cluster analysis distinguished sites in the interior of large woodland patches, with low or moderate path cover, from the other sites. The other sites did not cluster meaningfully, suggesting increased variation in the carabid fauna with increasing human impact. All species and ecological species-groups decreased with increasing distance from the edge toward the woodland interior and with increasing patch size. This pattern is in accordance with our expectation for open habitat and generalist species but opposite to what we expected for forest species. The reason for these surprising results may be that (1) the species we collected are not true forest interior species, (2) urban woodland edges are optimal habitats for many forest carabids, or (3) edges are actually sub-optimal, and high catches simply reflect increased activity of beetles moving away from the edge. Trampling did not have an overall negative effect on carabids as hypothesized. Species associated with moist forest habitat responded as predicted: they decreased in abundance with increasing path cover. Furthermore, open habitat species decreased with increasing path cover but more straightforward than we had predicted. Model elaboration, by dropping the highly trampled sites from the analyses, suggested that our data of high trampling may be too scarce: the results without these sites were more in accordance with our predictions than with the full dataset.