Do monetary subjective well-being evaluations vary across space? Comparing continuous and discrete spatial heterogeneity

Using subjective well-being estimations, this study analyzes whether compensating variations vary across space using a cross-sectional data set from Chile. To achieve this goal, it describes and compares two econometric ways of modelling unobserved spatial heterogeneity. Both approaches allow compensating variations to vary across spatial units by assuming some distribution a priori. One method assumes that the spatial heterogeneity can be represented by a discrete distribution (a group of regions that share the same coefficient) and the other that the preferences can be represented by a continuous distribution (each region has a different coefficient). The results show that focusing just on the average estimates of compensating variations, as the applied studies have done so far, masks useful local variation. More empirical studies are needed to assess the advantages and disadvantages of both econometric approaches and how their results compare across a wide range of conditions and samples.     

Impact of IT Service Management Frameworks on the IT Organization

Over 90 percent of companies are estimated to use IT Service Management (ITSM) frameworks, yet there is little research on their benefits to the Information Technology (IT) department and the business units. An international survey of 491 firms was conducted to assess the benefits of the IT Infrastructure Library (ITIL), the de-facto ITSM framework, specifically on how these benefits evolve as companies increase their adoption of the ITIL model. Also studied are the perception of challenges of the implementation and the number of ITIL processes implemented in relation to the progress of the adoption of ITIL. Results indicate that as the maturity of implementation increases, the perception of challenges decreases. Findings also show that as the maturity of implementation increases, the number of realized benefits increases, as well as the number of implemented ITIL processes. Implications for practitioners and researchers are also discussed.     

Rising Food Prices and Household Welfare: Evidence from Brazil in 2008

Food price inflation in Brazil in the 12 months to June 2008 was 18%, whereas overall inflation was 7%. Using spatially disaggregated monthly data on consumer prices and two different household surveys, we estimate the welfare consequences of these food price increases, and their distribution across households. Because Brazil is a large food producer, with a predominantly wage‐earning agricultural labour force, our estimates include general equilibrium effects on market and transfer incomes, as well as the standard estimates of changes in consumer surplus. Although the expenditure (or consumer surplus) effects were large, negative and markedly regressive everywhere, estimates of the market‐income effect were positive and progressive, particularly in rural areas. Because of this effect on the rural poor, and of the partial protection afforded by increases in two large social assistance benefits, the overall impact of higher food prices in Brazil was U‐shaped, with middle‐income groups suffering larger proportional losses than the very poor. Nevertheless, as Brazil is 80% urban, higher food prices still led to a greater incidence and depth of poverty at the national level.     

A Comparison of EPI Sampling, Probability Sampling, and Compact Segment Sampling Methods for Micro and Small Enterprises

Finding an efficient method for sampling micro- and small-enterprises (MSEs) for research and statistical reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated. This lack of a sampling frame creates an obstacle in finding a representative sample of MSEs. This study uses computer simulations to draw samples from a census of businesses and non-businesses in the Tshwane Municipality of South Africa, using three different sampling methods: the traditional probability sampling method, the compact segment sampling method, and the World Health Organization's Expanded Programme on Immunization (EPI) sampling method. Three mechanisms by which the methods could differ are tested, the proximity selection of respondents, the at-home selection of respondents, and the use of inaccurate probability weights. The results highlight the importance of revisits and accurate probability weights, but the lesser effect of proximity selection on the samples' statistical properties.     

Conditional Cash Transfers, Schooling, and Child Labor: Micro-Simulating Brazil's Bolsa Escola Program

A growing number of developing economies are providing cashtransfers to poor people that require certain behaviors on theirpart, such as attending school or regularly visiting healthcare facilities. A simple ex ante methodology is proposed forevaluating such programs and used to assess the Bolsa Escolaprogram in Brazil. The results suggest that about 60 percentof poor 10- to 15-year-olds not in school enroll in responseto the program. The program reduces the incidence of povertyby only a little more than one percentage point, however, andthe Gini coefficient falls just half a point. Results are betterfor measures more sensitive to the bottom of the distribution,but the effect is never large.     

Adverse selection, public information, and underpricing in IPOs

This paper generalizes the informational environment of the Rock model to address empirical evidence and conjectures that cannot be addressed within the standard model based on informed and uninformed investors such as underpricing being positively related to market returns observed prior to the IPO, the number of IPOs being positively related to market returns, underpricing being partly predictable based on public information, and the return to uninformed participation being negative overall but positively related to market returns observed prior to the IPO. Finally, the model suggests that a positive relation between market returns and underpricing need not represent an inefficiency in the pricing of IPOs.     

How Endowments, Accumulations, and Choice Determine the Geography of Agricultural Productivity in Ecuador

Spatial disparity in incomes and productivity is apparent acrossand within countries. Most studies of the determinants of suchdifferences focus on cross-country comparisons or location choiceamong firms. Less studied are the large differences in agriculturalproductivity within countries related to concentrations of ruralpoverty. For policy, understanding the determinants of thisgeography of agricultural productivity is important, becausestrategies to reduce poverty often feature components designedto boost regional agricultural incomes. Census and endowmentdata for Ecuador are used to estimate a model of endogenoustechnology choice to explain large regional differences in agriculturaloutput and factor productivity. A composite-error estimationtechnique is used to separate systemic determinants from idiosyncraticdifferences. Simulations are employed to explore policy avenues.The findings suggest a differentiation between the types ofpolicies that promote growth in agriculture generally and thosethat are more likely to assist the rural poor.     

The impact of pre-announced day-to-day interventions on the Colombian exchange rate

Using cross-country cross-industry data, this paper explores how industry’s growth in number of firms in Central-East Europe (CEE) region is influenced by bank concentration in both the pre-crisis and crisis periods. The CEE region shows highly concentrated banking markets and less-developed financial markets; thus, the level of bank concentration and the resulting credit supply are crucial for firm creation and survival. Despite this, there is little evidence on these countries in the literature. Our empirical results suggest an inverted-U relationship: industry growth is fostered by bank concentration, but there is a turning point from which higher concentration begins producing the opposite effect. Moreover, the positive impact has a greater intensity during the crisis period compared to the pre-crisis period. Between sectors’ analysis shows that high-tech sectors are less reactive to changes in the concentration level.