Firm relocation and firm profits : Evidence from the Swedish wholesale trade sector

This study analyses the effects of firm relocation on firm profits, using longitudinal data on Swedish limtied liability firms and employing a difference-in-differnce propensity score method in the empirical analysis. Using propensity score matching, the pre-relocalization differneces between relocating and non-relocating firms are balanced. In addition to that, a difference-in-difference estimator is employed in order to control for all time-invariant unobserved heterogeneity among firms. For matching, nearest neighbour matching, using the one-, two- and three nearest neighbours is employed. The balanacing results indicate that matching achieves a good balance, and that similar relocating and non-relocating firms are being compared. The estimated average treatment on the treatment effects indicate thats relocations has a significant effect on the profits of the relocating firms. In other words, firms taht relocate increase their profits significantly, in comparison to what the profits would be had the firms not relocated. This effect is estimated to vary between 3 to 11 percentage points, depending on the lenght of the analysed period after relocation. 

Forskning med juridiska förvecklingar : Om tolkningsflexibilitet i kontroversen om mässlingsvaccination och autism

Medical research with jurisdictional consequences: interpretative flexibility in the controversy over MMR vaccination and autism Based on the empirical case of the controversy of MMR vaccination and autism around the turn of the millennium, this paper argues for the analytical importance of the concept of “interpretative flexibility”. As shown, this concept is useful not only for the small subfield of sociology of scientific knowledge (SSK) but also for the broader social sciences. First we analyse, by reference to interpretative flexibility, the initial dispute within medical research concerning evidence for and against a possible link between the measles component of the MMR vaccine and autism. In a second step we move beyond this traditional application of the concept, showing how the interpretative flexibility of the research results remains in society although consensus has been reached in the medical community. This further step is exemplified by two legal events, in Sweden and the US respectively. In both these cases the difficulties in providing uncontested evidence affected institutions and practices at great distance and with different outcomes. Our findings suggest the importance of not only applying the concept of interpretative flexibility to classical scientific laboratory disputes, but also connecting it to its societal manifestations.

Tillväxt som kontrovers : Ekonomers och sociologers debatt om den svenska offentliga sektorn

The controversy of growth: a debate between economists and sociologists about the Swedish public sector Has the ‘Swedish model’ forced Sweden into stagnating economic growth? And has this caused Sweden to lag behind other comparable OECD-countries from the 1970s and onwards, i.e. since Sweden chose a welfare path different from many other countries? This has been the subject of a more than twenty year long controversy between Walter Korpi, professor of sociology and social policy, and leading Swedish mainstream economists. In a series of articles, especially during the years of economic crisis in the 1990s, Walter Korpi claimed that other reasons than the Swedish model has to be taken into account when comparing welfare states and their impact on economic growth, while the economists have persistently maintained the opposite view. These disputes over statistics and methodology have developed into what is here referred to as a science based controversy. This article analyzes the controversy between sociology and economy in accordance with controversy theory. In this way we can consider both the underlying social as well as political aspects of the debate, which leads to the conclusion that not every aspect of a science-based controversy is a byproduct of science itself.

Kriskommunikation i ett heterogent samhälle : lika för alla eller till var och en efter behov?

The controversy of growth: a debate between economists and sociologists about the Swedish public sector Has the ‘Swedish model’ forced Sweden into stagnating economic growth? And has this caused Sweden to lag behind other comparable OECD-countries from the 1970s and onwards, i.e. since Sweden chose a welfare path different from many other countries? This has been the subject of a more than twenty year long controversy between Walter Korpi, professor of sociology and social policy, and leading Swedish mainstream economists. In a series of articles, especially during the years of economic crisis in the 1990s, Walter Korpi claimed that other reasons than the Swedish model has to be taken into account when comparing welfare states and their impact on economic growth, while the economists have persistently maintained the opposite view. These disputes over statistics and methodology have developed into what is here referred to as a science based controversy. This article analyzes the controversy between sociology and economy in accordance with controversy theory. In this way we can consider both the underlying social as well as political aspects of the debate, which leads to the conclusion that not every aspect of a science-based controversy is a byproduct of science itself.

Predictive models for chronic renal disease using decision trees, naïve bayes and case-based methods

Data mining can be used in healthcare industry to “mine” clinical data to discover hidden information for intelligent and affective decision making. Discovery of hidden patterns and relationships often goes intact, yet advanced data mining techniques can be helpful as remedy to this scenario. This thesis mainly deals with Intelligent Prediction of Chronic Renal Disease (IPCRD). Data covers blood, urine test, and external symptoms applied to predict chronic renal disease. Data from the database is initially transformed to Weka (3.6) and Chi-Square method is used for features section. After normalizing data, three classifiers were applied and efficiency of output is evaluated. Mainly, three classifiers are analyzed: Decision Tree, Naïve Bayes, K-Nearest Neighbour algorithm. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. Efficiency of Decision Tree and KNN was almost same but Naïve Bayes proved a comparative edge over others. Further sensitivity and specificity tests are used as statistical measures to examine the performance of a binary classification. Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified while Specificity measures the proportion of negatives which are correctly identified. CRISP-DM methodology is applied to build the mining models. It consists of six major phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.