121,811 research outputs found
Bayesian methods
No full textChapter written for the Handbook of Research Methods and Applications on Empirical Macroeconomics, edited by Nigar Hashimzade and Michael Thornton, forth- coming in 2012 (Edward Elgar Publishing). This chapter presents an introductory review of Bayesian methods for research in empirical macroeconomics
Solutions manual to accompany intermediate public economics
No full textThis is Paperback version.
Hardback: ISBN: 9780262313889/026231388X.
Ebook: ISBN: 9780262313872/0262313871.A solutions manual for all 582 exercises in the second edition of Intermediate Public Economics.Nigar Hashimzade, Jean Hindriks, and Gareth D. Myle
Can authority be sustained while balancing accessibility and formality?
No full textEconomics has developed into a quantitative discipline that makes extensive use of mathematical and statistical concepts. When writing a dictionary for economics undergraduates it has to be recognised that many users will not have suffi cient training in mathematics to benefi t from formal defi nitions of mathematical and statistical concepts. In fact, it is more than likely that the user will want the dictionary to provide an accessible version of a defi nition that avoids mathematical notation. Providing a verbal description of a mathematical concept has the risk that the outcome is both verbose (compared to a defi nition using appropriate mathematical symbols) and imprecise. For the author of a dictionary this raises the question of how to resolve this confl ict between accessibility and formal correctness. We use a range of examples from the Oxford Dictionary of Economics to illustrate this confl ict and to assess the extent to which a non-formal defi nition can be viewed as authoritative.Nigar Hashimzade, Georgina A. Myles and Gareth D. Myle
A Data-Driven Approach to Labour Market Alignment with Renewable Innovation in the UK and US
No full textAs the development of renewable energy technologies accelerates, the need for a highly skilled workforce becomes increasingly critical. However, empirical evidence remains limited regarding whether current labour markets are adequately responding to this growing demand. This paper analyses the demand for skills in electrical engineering as the energy sector transitions to renewables. We focus on the United States (US) and the United Kingdom (UK) markets and employ the enhanced Latent Dirichlet Allocation model with incorporated hierarchical skill relationships and automated variation handling, enabling deeper insights into skill interactions. The findings highlight both shared global priorities, such as practical and technical competencies, and distinct regional differences shaped by national energy transitions, as well as an evident gap between the projected future skill requirements for the renewable energy sector and the current labour market demand. To further investigate the influence of professional skills within a specific occupational group in the energy industry on national innovation output, we used a Bayesian regression model. The results indicate a robust, positive relationship between skills and innovation, with consistent effects across both countries despite differing broader innovation ecosystems. The study contributes to understanding the role of occupational skill development in the national innovation systems
Representation and Weak Convergence of Stochastic Integrals with Fractional Integrator Processes
No full textThis paper considers the asymptotic distribution of the covariance of a nonstationary fractionally integrated process with the stationary increments of another such process - possibly, itself. Questions of interest include the relationship between the harmonic representation of these random variables, which we have analysed in a previous paper, and the construction derived from moving average representations in the time domain. The limiting integrals are shown to be expressible in terms of functionals of Itô integrals with respect to two distinct Brownian motions. Their mean is nonetheless shown to match that of the harmonic representation, and they satisfy the required integration by parts rule. The advantages of our approach over the harmonic analysis include the facts that our formulae are valid for the full range of the long memory parameters, and extend to non-Gaussian processes.Stochastic integral, weak convergence, fractional Brownian motion.
Type I and Type II Fractional Brownian Motions: a Reconsideration
No full textThe so-called type I and type II fractional Brownian motions are limit distributions associated with the fractional integration model in which pre-sample shocks are either included in the lag structure, or suppressed. There can be substantial differences between the distributions of these two processes and of functionals derived from them, so that it becomes an important issue to decide which model to use as a basis for inference. Alternative methods for simulating the type I case are contrasted, and for models close to the nonstationarity boundary, truncating infinite sums is shown to result in a significant distortion of the distribution. A simple simulation method that overcomes this problem is described and implemented. The approach also has implications for the estimation of type I ARFIMA models, and a new conditional ML estimator is proposed, using the annual Nile minima series for illustration.Fractional Brownian motion, long memory, ARFIMA, simulation.
A Multi-Language Comparison of Influences on Author Verification using Character N-Grams
No full textWe create a new multi-language corpus for author verification based on Wikipedia talkpages, and evaluate the influence that differences in topic and time have on character n-gram author profiles. Topic alignment between two texts is found to increase author verification precision, and an authors writing style is found to change over time, but not more significantly after 3 years than after 1 year.Information ArchitectureWISElectrical Engineering, Mathematics and Computer Scienc
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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