Valuing the Arsenic Contamination of Groundwater in Bangladesh

The use of groundwater in Bangladesh has in the past been promoted as a means of avoiding waterborne diseases associated with the consumption of untreated surface water. Unfortunately, the recent discovery of high levels of naturally occurring arsenic in groundwater in Bangladesh used for drinking purposes has led one international agency to describe the situation as a major public health emergency. Arsenic ingestion is associated with an elevated risk of various cancers. Epidemiological dose–response functions combined with survey estimates of arsenic concentrations in groundwater, and the number of households in Bangladesh relying on groundwater for drinking are used to derive an estimate of annual mortality and morbidity cases attributable to arsenic contamination. The estimated health impacts include 6500 fatal cancers and 2000 non-fatal cancers. Aggregate willingness to pay to avoid these health impacts is estimated to be $2.7 billion annually using purchasing power parity exchange rates. The methodology and results presented in this paper may have application to other countries.     

Individual Transferable Quota Markets under Illegal Fishing

The use of individual transferable quotas in fisheries has been considered an opportunity to achieve a given total allowable catch with a maximum social benefit. One of the assumptions used in obtaining that result is that the system is in perfect compliance. The presence of violations and the need for enforcement of tradable property rights systems in fisheries has not received much attention in the literature. The incidents of non-compliance, however, may affect the performance of transferable property rights-based fisheries in unexplored ways. In this paper, we adapt previous literature on enforcing emissions trading programs to analyze a positive model of fisherman behavior that operates under a perfectly competitive individual transferable quota system, while recognizing the opportunities for violations of quota holdings, given incomplete enforcement. Considering a poorly enforced, individual transferable quota system we are able to obtain a number of implications for the current and future equilibrium of the quota market, the time paths of the fishery, and the proper design of a policy rule on total allowable catch (TAC).     

What Triggers Inflation in Emerging Market Economies?

This study aims at investigating the factors associated with the start of 24 inflation episodes in 15 emerging market economies (EMEs) between 1980 and 2001. The paper employs pooled probit analysis to estimate the contribution of the key factors to inflation starts. The empirical results suggest that increases in the output gap, agricultural shocks, and expansionary fiscal policy raise the probability of inflation starts in EMEs. The findings also indicate that a more democratic environment and an increase in capital flows relative to GDP reduce the probability of inflation starts. JEL no. E31, E58     

Growth Effects of Economic Integration: Evidence from the EU Member States

After compiling an index of economic integration that accounts for global (GATT) as well as regional (European) integration of the EU member states we test for permanent and temporary growth effects in a growth accounting framework, using a panel of fifteen EU member states over the period 1950–2000. While the hypothesis of permanent growth effects is rejected, the results—though not completely robust to controlling for time-specific effects—suggest sizeable level effects: GDP per capita of the EU would be approximately one-fifth lower today if no integration had taken place since 1950. JEL no. C33, F15, F43, O52     

Location Choice and Employment Decisions: A Comparison of German and Swedish Multinationals

Using data on German and Swedish multinational enterprises (MNEs), this paper analyzes determinants of location choice and the degree of substitutability of labor across locations. Countries with highly skilled labor strongly attract German but not necessarily Swedish MNEs. In MNEs from either country, affiliate employment tends to substitute for employment at the parent firm. At the margin, substitutability is the strongest with respect to affiliate employment in Western Europe. A one percent larger wage gap between Germany and locations in Central and Eastern Europe (CEE) is associated with 760 fewer jobs at German parents and 4,620 more jobs at affiliates in CEE. A one percent larger wage gap between Sweden and CEE is associated with 140 fewer jobs at Swedish parents and 260 more jobs at affiliates in CEE. JEL no. F21, F23, J21, J23     

Selecting representative case vignettes for clinical judgement studies: Examples from two heart failure studies

In the Clinical Judgement Analysis (CJA) tradition there are strong arguments in favour of using representative case vignettes. Due to methodological and practical constraints, however, it is often necessary to make compromises regarding representativity. In this article, we discuss our experiences in working with these problems in connection with two studies about general practitioners heart failure diagnoses. CJA is a method for investigating and describing decision-making in which both judges and judgement situations are taken into consideration. This means that when we want to study physicians diagnoses, both the participating physicians as well as the case vignettes should be sampled to be representative for the diagnostic situation. If representativity is interpreted in a strictly statistical sense, the case vignettes should reflect a well identified population of patients regarding values, distribution and intercorrelations of the relevant patient characteristics (variables). Creating a set of representative case vignettes meeting all theoretical requirements will often be difficult. Selecting a relevant population and relevant variables, deciding about the appropriate number of variables and case vignettes, and deciding whether authentic patients or constructed case vignettes should be used are some of the problems that must be dealt with.     

Postal Surveys of Doctors’ Careers: Who Writes Comments and What do they Write About?

This study aimed to characterise the doctors who wrote comments at the end of a postal questionnaire about their careers, to quantify the frequency of negative comments, and to study relationships between the questionnaire content and the topics of comment. Graduates of all UK medical schools in 1999 were surveyed at the end of their pre-registration year. Structured questions about career intentions, current jobs and attitudes were accompanied by an invitation to write comments about any aspect of training, career choices or work. Comments were transcribed and coded according to theme and whether they were positive, negative or neutral. Numbers of comments on each theme, and of positive and negative comments, were counted. Bivariate analyses based on respondents answers to structured questions were used to characterise those who wrote comments on each theme. The survey response rate was 65%, and 40% of respondents wrote comments. Sixteen themes were identified. Ninety-four percent of those who commented said something negative or critical. Respondents who wrote comments differed in some characteristics from the whole cohort. The structured content of the questionnaire, particularly certain attitude statements, prompted the writing of comments on related themes, although not all attitudinal items acted in this way.     

The Diversity and Causality of Welfare State Reforms Explored with Fuzzy-Sets

The introduction of fuzzy-sets into social science has potentially improved our ability to study diversity by means of the so-called partial memberships. As a consequence, social phenomena can be studied empirically as a matter of degree and not longer as fixed types. A fuzzy-set is a set with elements whose membership grades can have any real value between 0 and 1. In order to illustrate the capacities of the fuzzy set logic and also to make the discussion less abstract, it will be applied to the study of welfare state reforms. The ‘grading capacity’ of fuzzy-sets makes it possible to study welfare states as partial members of different welfare state regimes at the same time. This approach reveals the diversity of welfare reforms better than traditional ways which are often inclined to picture a case as representative of one particular type which is a too crude classification. Fuzzy-sets are designed to capture the diversity in a way that leaves more room to map individual cases without falling into the trap of idiosyncrasy. An equally important ability of fuzzy-sets is to analyse causal relationships in a small-n design. The fuzzy-set logic can be used to determine necessary and sufficient conditions for an outcome. This takes the form of expressions which reveal multiple-conjunctural causation patterns. In this paper the conditions for welfare cutbacks and the effects on socio-economic performance will be examined.     

Mixture Models of Missing Data

This paper proposes a general framework for the analysis of survey data with missing observations. The approach presented here treats missing data as an unavoidable feature of any survey of the human population and aims at incorporating the unobserved part of the data into the analysis rather than trying to avoid it or make up for it. To handle coverage error and unit non-response, the true distribution is modeled as a mixture of an observable and of an unobservable component. Generally, for the unobserved component, its relative size (the no-observation rate) and its distribution are not known. It is assumed that the goal of the analysis is to assess the fit of a statistical model, and for this purpose the mixture index of fit is used. The mixture index of fit does not postulate that the statistical model of interest is able to account for the entire population rather, that it may only describe a fraction of it. This leads to another mixture representation of the true distribution, with one component from the statistical model of interest and another unrestricted one. Inference with respect to the fit of the model, with missing data taken into account, is obtained by equating these two mixtures and asking, for different no-observation rates, what is the largest fraction of the population where the statistical model may hold. A statistical model is deemed relevant for the population, if it may account for a large enough fraction of the population, assuming the true (if known) or a sufficiently small or a realistic no-observation rate.     

Explaining Differences in Economic Growth among OECD Countries

This paper re-examines the determinants of growth of GDP per capita using panel data for OECD countries for the period 1970–1999 with data averaged over five-year periods from new perspectives. First, we introduce indicators of innovation input and technological specialization simultaneously into the empirical growth equation. Second, we employ the system-GMM (Generalized-Method-of-Moments) panel estimator that controls for (a) the possible specification bias when variables are highly persistent over time and (b) the possible simultaneity bias. We find a large and statistically significant impact of business enterprise R&D (BERD) intensity on GDP per capita with an elasticity of 0.22. The share of high-technology exports is also significantly positively related to GDP per capita, but the magnitude suggests that BERD is more important than technological specialization in explaining the level of GDP per capita. Furthermore, we find that the budget deficit and government consumption (both measured as percentages of GDP) and the volatility of growth are significantly negatively related to GDP per capita.The authors would like to thank Gunther Tichy for helpful comments on an earlier draft of this article. We also thank the participants of the Austrian economic association conference (NOEG) and the Empirical Industrial Organization workshop at the WU WIEN for helpful comments. We gratefully acknowledge financial support from the OeNB Jubiläumsfonds Project and the Austrian Federal Ministry for Economy and Labor (BMWA).JEL codes: E62, H20, H50, O23, O40