Active labor market programs: a review of the evidence from evaluations

The study reports evidence based on recent evaluation of active labor market programs, in developed countries, as well as on developing, and transition economies. While a number of unresolved technical issues, and a variety of data problems in specific surveys, and administrative information, tend to affect reliability for guiding public policy, some generalizations about active labor programs can be made. These programs reveal that public works programs can help disadvantaged groups, providing poverty/safety nets, but are ineffective instruments, in the pursue of permanent employment, whereas, job search assistance has positive impacts, and is cost-effective, although this assistance does not seem to improve employment, nor wages. In addition, training for long-term unemployed, may be helpful under an improving economy, but cost-effectiveness is usually disappointing, and, retraining has proven to be more expensive, and ineffective than job search assistance. Likewise, youth training provides no positive impact on employment prospects, and cannot be a substitute to education systems failures. Micro-enterprise development, and wage subsidy programs are usually associated with displacement effects, unlikely to have positive impacts. Modest programs, sound impact evaluation techniques, and cost-effectiveness are strongly recommended.Environmental Economics&Policies,Poverty Impact Evaluation,ICT Policy and Strategies,Labor Standards,Poverty Monitoring&Analysis

World Bank lending for labor markets : 1991 to 1996

This report serves as a conceptual background piece for the development of the Social Strategy Paper (SSP). To develop the conceptual underpinnings, the objectives and instruments of strategy papers (SP) are viewed under the rubric of Social Risk Management (SRM). SRM consists of public measures intended to assist individuals, households, and communities in managing income risks in order to reduce vulnerability, improve consumption smoothing, and enhance equity while contributing to economicdevelopment in a participatory manner. To support the approach and its logic, the structure of this note is as follows: Chapter 2 sets the stage and presents global trends, definitions, and outlooks. Chapter 3 presents key issues of SRM, from the reasons for World Bank concern to a typology of strategies and instruments, and ends with the role of the main actors. Chapter 4 focuses on the boundaries of SP/SRM and on three key policy issues to balance equity, efficiency, and political sustainability. Chapter 5 ends with a preliminary list of ways in which the new framework may affect our view of SP and the development of better instruments.Health Monitoring&Evaluation,Banks&Banking Reform,Labor Standards,Health Economics&Finance,ICT Policy and Strategies

Active labor market programs : policy issues for East Asia

The study debates on active labor market programs (ALMPs) as a valuable employment policy tool intended to increase the quality of labor supply, and demand, versus the disincentive, and dependent passive measures in combating unemployment. While ALMPs have been implemented to varying degrees in East Asia, they still cannot be considered an important policy instrument; yet, careful consideration by policymakers to such programs, could prove responsive to the economic crisis, and to the longer-term requirements of development. An overview of ALMPs is provided, with key issues reviewed for design consideration. The study discusses the techniques used to evaluate ALMPs, and summarizes the evidence on their impacts, identifying key variables associated with successful outcomes in the region. Recommendations suggest the following issues for the formulation of an active labor market policy: setting priorities, by initially developing strong employment services; identifying the roles of the public, and private sectors, which leads to more diverse, innovative, and cost-efficient services, closely oriented to labor demand, but focused on public priorities; promoting partnerships, and dialogue within coordinated policies, and strengthened administrative and operational capacities, provided a balanced public, and private financing is in place.Banks&Banking Reform,ICT Policy and Strategies,Health Economics&Finance,Environmental Economics&Policies,Labor Standards

Student Achievement Conditioned Upon School Selection: Religious and Secular Secondary School Quality in Bangladesh

In this paper we present new evidence on the impact of school characteristics on secondary student achievement using a rich data set from rural Bangladesh. We deal with a potentially important selectivity issue in the South Asian context: the non-random sorting of children into madrasas (Islamic faith schools). We do so by employing a combination of fixed effects and instrumental variable estimation techniques. Our empirical results do not reveal any difference in test scores between religious and secular schools when selection into secondary school is taken into account. However, we document significant learning deficit by gender and primary school type: girls and graduates of primary madrasas have significantly lower test scores even after controlling for school and classroom-specific unobservable correlates of learning.

Growth, fruit set and yield of Santa Rosa plum as affected by nitrogen and boron under rainfed conditions of Kashmir Valley

Present experiment was carried out in a seven year old private plum orchard near SKUAST-Kashmir, Shalimar Campus, Srinagar during 2012 and 2013, to examine the response to nitrogenous fertilizer and boron on growth, fruit set and yield of plum var. Santa Rosa. Urea @ 500 g (N1), CaNO3 @ 1450 g (N2), N1 + 50 g boron (N3) and N2 + 50 g boron (N4) were applied at T1 = Full dose in spring, T2 = Full dose after harvest and T3 = 3/4 dose in spring and 1/4 dose after harvest. Observations were recorded on parameters viz. incremental tree girth, shoot extension growth, plant height, plant spread, leaf area, fruit set, fruit drop, yield, yield efficiency. All the growth parameters were high in treatment combination N1T1. Maximum fruit set (19.68 % and 20.90 %) was recorded in N3T2, yield (20.60 kg/tree and 22.88 kg/tree) was recorded in N4T2, yield efficiency (0.45 and 0.46 kg/cm2) was recorded in N4T2 and minimum fruit drop (4.25 % and 4.55 %) were recorded under the treatment combination N4T2 and N4T3, respectively in the both the years. Both sources of nitrogen and boron can be considered as best fertilizer in plum orchards for improving the growth, fruit set, fruit yield, yield efficiency

CNN and LSTM-Based Emotion Charting Using Physiological Signals

Novel trends in affective computing are based on reliable sources of physiological signals such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin Response (GSR). The use of these signals provides challenges of performance improvement within a broader set of emotion classes in a less constrained real-world environment. To overcome these challenges, we propose a computational framework of 2D Convolutional Neural Network (CNN) architecture for the arrangement of 14 channels of EEG, and a combination of Long Short-Term Memory (LSTM) and 1D-CNN architecture for ECG and GSR. Our approach is subject-independent and incorporates two publicly available datasets of DREAMER and AMIGOS with low-cost, wearable sensors to extract physiological signals suitable for real-world environments. The results outperform state-of-the-art approaches for classification into four classes, namely High Valence—High Arousal, High Valence—Low Arousal, Low Valence—High Arousal, and Low Valence—Low Arousal. Emotion elicitation average accuracy of 98.73% is achieved with ECG right-channel modality, 76.65% with EEG modality, and 63.67% with GSR modality for AMIGOS. The overall highest accuracy of 99.0% for the AMIGOS dataset and 90.8% for the DREAMER dataset is achieved with multi-modal fusion. A strong correlation between spectral-and hidden-layer feature analysis with classification performance suggests the efficacy of the proposed method for significant feature extraction and higher emotion elicitation performance to a broader context for less constrained environments.Peer reviewe

Xenia studies in exotic and indigenous almond (Prunus amygdalus L.) varieties of Kashmir, India

Pollination is very important to obtain an economic yield, and the selection of pollinizer with suitable quality and quantity of pollen is an essential practice in different fruit plants. The effects of pollen parent on kernel and nut characters are known to occur in several nut crops and to determine the best pollinizer and effect of pollen source on the nut and kernel quality of almond (Prunus amygdalus L.). The present investigation was carried out at the experiment farm of Dryland Agriculture Research Station (DARS), SKUAST-Kashmir for two consecutive years, i.e. 2008 and 2009. Various cross combinations were made among nine almond (three exotic and six indigenous) varieties/selections which are compatible with each other. Their nut and kernel characteristics were determined and observed maximum nut weight (2.21 g), nut length (39.78 mm) and nut breadth (20.33 mm), kernel weight (1.28 g), kernel length (28.63 mm) and kernel breadth (12.61 mm) and shelling percentage (57.99 %). In the present study it has been observed that the parent with big nut and kernel size and weight influenced the nut and kernel size; nut and kernel weight of the recipient parent significantly (p?0.05)

Chromatographic Method for Determination of the Amino Acid Content in Dioscorea bulbifera L. Tubers by RP-HPLC

Background: The present study was carried out for determination of amino acid content in tubers of Dioscorea bulbifera using reverse-phase high-performance liquid chromatography. Methods: The method involved the vapor phase hydrolysis of the sample, automated derivatisation of the amino acids with the aid of AccQ-Fluor reagent kit, separated on a high performance liquid chromatography equipped with photo diode array (HPLC-PDA) at 254 nm having column temperature of 37 ºC. Results: The proportional molar concentration for each amino acid was calculated based on the concentration of standard amino acids and expressed as μg amino acid/mg sample. Methionine, aspartic acid and leucine were major components while as tyrosine was found minor from the plant on dry weight basis. Conclusion: The method is reliable, simple and economical for determining the amino acid content of Dioscorea bulbifera tubers