Impacts of an early education intervention on students' learning achievement: Evidence from the Philippines

This paper examines the impact of a large supply-side education intervention in the Philippines, the Third Elementary Education Project, on students' national achievement test scores. We find that the program significantly increased student test scores at grades 4 to 6. The estimate indicates that the six-year exposure to the program increases test scores by about 15 score points. Interestingly, the mathematics score is more responsive to this education reform than other subjects. We also find that textbooks, instructional training of teachers, and new classroom constructions particularly contributed to these outcomes. The empirical results also imply that early-stage investments improve student performance at later stages in the elementary school cycle, which suggests that social returns to such an investment are greater than what the current study demonstrates.School quality, policy intervention, elementary schools, human capital formation,

Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation

Practitioners of outdoor sports, such as rock-climbers, are likely to exhibit preference heterogeneity that depends on the ‘keenness’ with which such sports are practiced. Such an intuition is born out in at least one study using latent class discrete choice modelling (Provencher et al. 2002). Preference heterogeneity has a reflection on the population’s structure of recreational values assigned to rock-climbing destinations, to their attributes and ultimately to land management policies addressing such attributes. In this study such hypothesis is tested on a panel of destination choices by a sample of rock-climbers members of the Veneto Chapter of the Italian Alpine Club. Preliminary estimates of latent-class (finite-mixing) specifications provided evidence that intensity of participation explained heterogeneity in taste. This motivated our splitting of the sample in a ‘high’ and a ‘low’ intensity of participation sub-samples, each of which is in turn analysed for the presence of endogenous preference classes using latent-class random utility based approaches. We find evidence in support of the hypothesis that there are at least four statistically well-defined classes in each sub-sample, thereby revealing a considerable richness in the structure of preference, which would otherwise be unobservable in more conventional approaches. From the model estimates, we first focus on the derivation of posterior individual specific welfare measures for some key destination attributes, and then for a welfare neutral land management policy. One emerging feature is the strong evidence of multi-modal distribution of values, a feature that is more difficult to capture when preference heterogeneity is modelled by other means. The results also show how the proposed policy is progressive in terms of benefit distribution in the sample, and that the distribution of individual welfare changes shows markedly different patterns between high and low demand sub-samples.Travel cost model, Preference heterogeneity, Non-market valuation, Random utility model, Latent class analysis, Rock-climbing, Destination choice modelling

Collecting and processing personal data : addressing data protection and privacy issues by design

The European Council has concluded in October 2013 that “It is important to foster the trust of citizens and businesses in the digital economy. The timely adoption of a strong EU General Data Protection framework and the Cyber-security Directive is essential for the completion of the Digital Single Market by 2015.” This paper discusses the collection and processing of personal data in the context of the EU-funded ADMOS project whose aim is to detect in real time whether or not a person has noticed an advert and, if so, their profile in terms of gender and age. We review the issues and current legislation on the processing of personal data in the context of information systems, and how the project has incorporated a solution that fully satisfies current and proposed legislation on privacy

Economic Impacts of Residential Property Abandonment and the Genesee County Land Bank in Flint, Michigan

Describes the land bank model, which allows local public authorities to manage and develop tax-foreclosed properties with a focus on returning them to productive use, and summarizes the activities of a successful land bank effort in Flint, Michigan

Data protection and privacy issues concerning facial image processing in public spaces

The European Council has concluded in October 2013 that “It is important to foster the trust of citizens and businesses in the digital economy. The timely adoption of a strong EU General Data Protection framework and the Cyber-Security Directive is essential for the completion of the Digital Single Market by 2015.” This paper discusses the collection and processing of personal data in the context of the EU-funded ADMOS project whose aim is to detect in real time whether or not a person has noticed an advert and, if so, their profile in terms of gender and age. We review the issues and current legislation on the processing of personal data in the context of information systems, and how the project has incorporated a solution that fully satisfies current and proposed legislation on data protection

Capitalising the value of free schools : the impact of supply characteristics and uncertainty.

There has been a growing literature in both the US (for example Haurin and Brasington 1996, and Black 1999) and the UK (for example Gibbons & Machin, 2003) that estimates the way in which school quality is capitalised into house prices. Cheshire and Sheppard 1995 and 1999 estimated hedonic models in which the quality of the secondary school to which a household was assigned was a significant variable which provided evidence that secondary school quality was being capitalised into the price of houses. In contrast Gibbons and Machin concluded that primary schools were more significant. Each of these analyses is predicated on the assumption that the value of local schools should be reflected in the value of houses. We argue here that this is rather too simple. We should expect variation in the capitalised price of a given school quality at either primary or secondary level according to the elasticity of supply of ‘school quality’ in the local market, the certainty with which that quality can be expected to be maintained over time and the suitability of the dwelling to accommodate children. These factors will vary systematically between and perhaps within cities. This paper explores the sources and the impact of such variations as well as the impact of model specification. The results provide new evidence on the complex and subtle ways in which housing markets capitalise the value of local public goods such as school quality and perhaps most importantly suggest that this is highly non-linear: houses in the catchment areas of only the best state schools command substantial premiums but such capitalised values can be very substantial indeed.

Digital Image Access & Retrieval

The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio

The Evolution of First Person Vision Methods: A Survey

The emergence of new wearable technologies such as action cameras and smart-glasses has increased the interest of computer vision scientists in the First Person perspective. Nowadays, this field is attracting attention and investments of companies aiming to develop commercial devices with First Person Vision recording capabilities. Due to this interest, an increasing demand of methods to process these videos, possibly in real-time, is expected. Current approaches present a particular combinations of different image features and quantitative methods to accomplish specific objectives like object detection, activity recognition, user machine interaction and so on. This paper summarizes the evolution of the state of the art in First Person Vision video analysis between 1997 and 2014, highlighting, among others, most commonly used features, methods, challenges and opportunities within the field.Comment: First Person Vision, Egocentric Vision, Wearable Devices, Smart Glasses, Computer Vision, Video Analytics, Human-machine Interactio

Online market entry: the motivations for imitation across retailer types

This study examines the motivations for imitation in retailers’ online channel entry. Extant literature suggests that legitimacy and efficiency are the primary motivators for firms to imitate. We develop hypotheses which center on the belief that not all firm types would use the same motivator for deciding to imitate and enter the online market; legitimacy would be the driving force for some retailer types while efficiency would be the motivator for others. We test our hypotheses on a unique data collected from multiple sources. Our findings confirm that the motivators for imitation vary across retailer types. Bhatnagar, Amit and Nikolaeva, Ralitza and Ghose, Sanjoy, Online Market Entry: The Motivations for Imitation Across Retailer Types (November 2014). Managerial and Decision Economics, Forthcoming. Available at SSRN: http://ssrn.com/abstract=252208

Explaining Bank Failures in Brazil: Micro, Macro and Contagion Effects (1994-1998)

We apply duration (survival) models with exponential hazard and exponential piecewise-constant hazard functions to study the determinants of bank failure over the period 1994 to 1998 in Brazil. The models deal empirically with left censoring in the data. We control for macroeconomic conditions and contagion effects, besides bank-specific factors. Our results indicate that foreign banks have distinct empirical survival functions relatively to other banks. For Brazil, macroeconomic and bank-level covariates explain the likelihood and timing of bank failure. Our indicator of system-wide financial fragility (IFF) suggests that the banking industry faced increased fragility after November 1995. We find evidence that the Program of Incentives to the Restructuring and Strengthening of the National Financial System (Proer) was able to distinguish solvent from insolvent banks.