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Background: In Sweden, as well as in Scandinavia, there is no easy way to evaluate patients' difficulties when they suffer from lateral epicondylitis/epicondylalgia. However, there is a Canadian questionnaire, in English, that could make the evaluation of a patient's pain and functional loss both quick and inexpensive. Therefore, the aim of this study was to translate and cross-culturally adapt the questionnaire "Patient-rated Tennis Elbow Evaluation" into Swedish (PRTEE-S; "Patientskattad Utvärdering av Tennisarmbåge"), and to evaluate the reliability and validity of the test.

The purpose of this paper is to examine the role played by built heritages and cultural environments, alongside other locational factors, in explaining the growth of human capital in Sweden. We distinguish between urban, natural and cultural qualities as different sources of regional attractiveness and estimate their influence on the observed growth of individuals with at least three years of higher education during 2001-2010. Neighborhood-level data are used, and unobserved heterogeneity and spatial dependencies are modeled by employing random effects estimations and an instrumental variable approach. Our findings indicate that the local supply of built heritages and cultural environments explain a significant part of human capital growth in Sweden. Results suggest that these types of cultural heritages are important place-based resources with a potential to contribute to improved regional attractiveness and growth.

This paper analyses determinants of agricultural land prices in Sweden with a particular focus on location-specific factors. An asset-pricing model is used to decompose agricultural land prices into expected returns from land in its current agricultural use and expected returns from its potential use. The model is estimated in a cross regional context where explanatory factors relate to regional variations in land productivity, agricultural support payments and urbanising influences. Results indicate that both agricultural and non-agricultural factors are influential determinants to the price of agricultural land. Estimating marginal effects across the distribution of the dependent variable, non-agricultural factors are shown to be more important in regions that have high agricultural land prices, whereas, income support to farmers in the form of the decoupled single farm payment is shown to be most influential in regions with low agricultural land prices.Keywords Land price · Asset pricing · Single farm payment · Quantile regression

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