General Purpose Technologies and Economic Growth: Electricity Diffusion in the Manufacturing Sector Before WWII

This paper evaluates the diffusion of electricity within the context of a GPT perspective. The paper develops a new comparative data set on the usage of electricity in the manufacturing sectors of the US, Britain, France, Germany and Japan and proceeds to evaluate the hypotheses of a productivity slowdown and of a productivity bonus as postulated by many existing GPT models.Long Swing

Can general purpose technology theory explain economic growth? Electrical power as a case study

Does the concept of General Purpose Technologies help explain periods of faster and slower productivity advance in economies? The paper develops a new comparative data set on the usage of electricity in the manufacturing sectors of the USA, Britain, France, Germany and Japan and proceeds to evaluate the hypothesis of a productivity bonus as postulated by many existing GPT models. Using the case of the diffusion of electrical power in the early twentieth century this paper shows that there was no generalized productivity boost from electrical power diffusion as postulated by many existing GPT models. The productivity gains from this GPT varied widely across economies and industries, suggesting that the power of GPTs to predict aggregate or sectoral growth is limited.Research for this paper has been supported by a Research Grant from the ESRC (No. L138 25 1045).This is the author accepted manuscript. The published advanced access version can be found on the publisher's website at: http://ereh.oxfordjournals.org/content/early/2014/06/03/ereh.heu008.full.pdf+htm

Digital Repositories and the Semantic Web: Semantic Search and Navigation for DSpace

4th International Conference on Open RepositoriesThis presentation was part of the session : DSpace User Group PresentationsDate: 2009-05-21 08:30 AM – 10:00 AMIn many digital repository implementations, resources are often described against some flavor of metadata schema, popularly the Dublin Core Element Set (DCMES), as is the case with the DSpace system. However, such an approach cannot capture richer semantic relations that exist or may be implied, in the sense of a Semantic Web ontology. Therefore we first suggest a method in order to semantically intensify the underlying data model and develop an automatic translation of the flatly organized metadata information to this new ontology. Then we propose an implementation that provides for inference-based knowledge discovery, retrieval and navigation on top of digital repositories, based on this ontology. We apply this technique to real information stored in the University of Patras Institutional Repository that is based on DSpace, and confirm that more powerful, inference-based queries can indeed be performed

The effects of systemic banking crises in the inter-war period

This paper examines the time-profile of the impact of systemic banking crises on GDP and industrial production using a panel of 24 countries over the inter-war period and compares this to the post-war experience of these countries. We show that banking crises have effects that induce medium-term adjustments on economies. Focusing on an eight-year horizon, it is clear that the negative effects of systemic banking crises last over the entirety of this time-horizon. The effect has been identified for GDP and industrial production. The adverse effect on the industrial sector stands out as being substantially larger in magnitude relative to the macroeconomic effect. Comparing the results across long-run historical periods for the same selection of countries and variables identifies some differences that stand out: the short term macroeconomic impact effects are much larger in the post-war period, suggesting that the propagation channels of shocks operate at a faster pace in the more recent period. Moreover, the time-profile of effects differs, suggesting that modern policies may be modulating the temporal shape of the response to banking crises shocks. However, the broad magnitude of the adverse effect of banking crises remains comparable across these time periods

Monthly GDP Estimates for Inter-War Britain

We derive monthly and quarterly series of UK GDP for the inter-war period from a set of monthly indicators that were constructed by The Economist at the time. The monthly information is complemented with data for quarterly industrial production, allowing us to employ mixed-frequency methods to produce monthly estimates of GDP and of industrial production. We proceed to illustrate how the new data compare with existing high frequency data and how they can be used to contribute to our understanding of the economic history of the UK in the inter-war period and to draw comparisons between recession profiles in the inter-war and the post-war period

The Impact of the 1932 General Tariff: A Difference-in-Difference Approach

We evaluate the effect of the 1932 British General Tariff on the output, labour productivity and employment growth of British industries. We provide a new disaggregated data set that matches industry-level Census of Production data with industry-specific tariff rates to accurately isolate treatment and control groups and estimate the effect of the General Tariff using difference-in-difference regressions. We evaluate a two-group comparison, between newly and non-newly protected industries, and a three-group comparison, between non-newly protected industries and newly protected industries further divided into those given a baseline 10 percent tariff rate and those given additional tariffs. In the two-group comparison, we identify a tariff effect that is large and statistically significant on output and productivity. In the three-group comparison, we show that the positive output and productivity effects of the tariff arise from the additional tariff protection, over and above the 10 percent level. These effects are observed over the periods 1930-35 and 1930-48, suggesting both short-run and medium-term effects on output and productivity of UK industries protected by the 1932 General tariff

Exchange rates, tariffs and prices in 1930s Britain

This paper investigates the degree of pass-through from import prices and tariffs to wholesale prices in interwar Britain using a new high-frequency micro data set. The main results are: (i) Pass-through from import prices and tariffs to wholesale prices was economically and statistically significant. (ii) Despite devaluation, import prices exacerbated deflation in the early 1930s because of the global slump in export prices. (iii) Rising protection, however, was a mild stimulus to prices during the shift to inflation

Proglucagon-derived peptides do not significantly affect acute exocrine pancreas in rat

Reports have suggested a link between treatment with glucagon-like peptide 1 (GLP-1) analogs and an increased risk of pancreatitis. Oxyntomodulin, a dual agonist of both GLP-1 and glucagon receptors, is currently being investigated as a potential antiobesity therapy, but little is known about its pancreatic safety. The aim of the study was to investigate the acute effect of oxyntomodulin and other proglucagon-derived peptides on the rat exocrine pancreas.Glucagon-like peptide 1, oxyntomodulin, glucagon, and exendin-4 were infused into anesthetized rats to measure plasma amylase concentration changes. In addition, the effect of each peptide on both amylase release and proliferation in rat pancreatic acinar (AR42J) and primary isolated ductal cells was determined.Plasma amylase did not increase postpeptide infusion, compared with vehicle and cholecystokinin; however, oxyntomodulin inhibited plasma amylase when coadministered with cholecystokinin. None of the peptides caused a significant increase in proliferation rate or amylase secretion from acinar and ductal cells.The investigated peptides do not have an acute effect on the exocrine pancreas with regard to proliferation and plasma amylase, when administered individually. Oxyntomodulin seems to be a potent inhibitor of amylase release, potentially making it a safer antiobesity agent regarding pancreatitis, compared with GLP-1 agonists

Neurosurgery specialty training in the UK: What you need to know to be shortlisted for an interview

Neurosurgery is one of the most competitive specialties in the UK. In 2019, securing an ST1 post in neurosurgery corresponds to competition ration of 6.54 whereas a CST1 post 2.93. Further, at ST3 level, neurosurgery is the most competitive. In addition, the number of neurosurgical training posts are likely to be reduced in the coming years. A number of very specific shortlisting criteria, aiming to filter and select the best candidates for interview exist. In the context of the high competition ratios and the specific shortlisting criteria, developing an interest in the neurosciences early on will allow individuals more time to meet the necessary standards for neurosurgery. Here, we aim to outline the shortlisting criteria and offer advice on how to achieve maximum scores, increasing the likelihood to be shortlisted for an interview

Diagnosis of Attention Deficit Hyperactivity Disorder in Intellectual Disability:Diagnostic and Statistical Manual of Mental Disorder V versus clinical impression

BACKGROUND: Diagnosing Attention Deficit Hyperactivity Disorder (ADHD) in people with intellectual disability (ID) remains challenging. The Diagnostic and Statistical Manual of Mental Disorder V (DSM V) classification system is often used to diagnose ADHD in the general population; however, the presence of ID and other associated conditions such as autism and communication difficulties can make it difficult to apply the DSM V criteria in people with ID. Therefore, diagnosing ADHD in people with ID is often made using clinical judgement and/or the application of diagnostic criteria. There are no studies comparing the diagnostic accuracy of clinical judgement and the use of DSM V criteria in people with ID and ADHD. METHOD: The aims of the study were to compare the accuracy of the diagnosis of ADHD in people with ID according to the DSM V criteria versus clinical judgement and to determine which criteria are more reliable. A questionnaire was developed using five fictional case scenarios of people with ID. Questionnaires were presented to practising psychiatrists chosen as a convenience sample in the United Kingdom over a period of 12 months. Case scenarios were developed and agreed to be positive or negative for ADHD by the study authors prior to rating by clinicians. The clinicians were asked to read the scenarios and to make a judgement on the cases regarding the symptoms of ADHD. They were then presented with the 18 DSM V criteria of ADHD and asked to select the criteria they considered were present in each scenario. Sensitivity, specificity, likelihood ratios and predictive values for both the DSM V criteria and clinical opinions were calculated for correctly identifying the exemplar cases. RESULTS: The data showed strong sensitivity [0.82 95% confidence interval (CI) 0.74-0.89] and high specificity (1.00 95% CI 0.95-1.00) for the raters' clinical opinion. In contrast, the DSM V criteria alone, as assessed by the raters, did not reliably provide ADHD diagnoses, with a sensitivity of only 0.23 (95% CI 0.15-0.31). This difference in sensitivity between the two was statistically significant at P < 0.001. CONCLUSION: The study results suggest that clinical opinion is the 'gold standard' at present in diagnosing ADHD in adults with ID in the absence of a validated diagnostic tool in this group. Further studies are needed to understand how symptoms of ADHD can be presented differently in people with ID. DSM V criteria for ADHD may need to be adapted according to the severity of ID and other neurodevelopmental disorders