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Today, the most pressing challenges for public economics are of macroeconomic nature: pensions, debt, income distribution, and fiscal sustainability. All these problems are compounded by the phenomenon of demographic transition and aging. This graduate textbook addresses these issues with the help of state-of-the-art macroeconomic tools that are based on a sound microfoundation and rooted in empirical evidence. Different from the standard partial-equilibrium analysis in traditional textbooks on public economics, the concept of general equilibrium helps to account for compensating or amplifying side-effects of economic policy. GAUSS and MATLAB computer code as well as teaching material (slides) are available as downloads from the author's homepage.
Ugliness or unsightliness is much more than a quality or property of an individual’s appearance—it has long functioned as a social category that demarcates access to social, cultural, and political spaces and capital. The editors of and authors in this collection harness intersectional and interdisciplinary approaches in order to examine ugliness as a political category that is deployed to uphold established notions of worth and entitlement. On the Politics of Ugliness identifies and challenges the harmful effects that labels and feelings of ugliness have on individuals and the socio-political order. It explores ugliness in relation to the intersectional processes of racialization, colonization and settler colonialism, gender-making, ableism, heteronormativity, and fatphobia. On the Politics of Ugliness asks that we fight against visual injustice and imagine new ways of seeing.
From the Olympics to the World Cup, mega sporting events are a source of enjoyment for tens of thousands, but can also be a source of intense debate and controversy. This insightful new Handbook addresses a number of central questions, including: How are host cities selected and under what economic conditions? How are these events organized, and how is local resistance overcome? Based on historical and empirical experience, what are the pitfalls for the organizers of these events? What are the potential economic benefits, including any international image effects? How can the costs be minimized and the benefits maximized for host cities and countries? How do these mega events impact the chal...
Contemporary macroeconomics is built upon microeconomic principles, with its most recent advance featuring dynamic stochastic general equilibrium models. The textbook by Heer and Maußner acquaints readers with the essential computational techniques required to tackle these models and employ them for quantitative analysis. This third edition maintains the structure of the second, dividing the content into three separate parts dedicated to representative agent models, heterogeneous agent models, and numerical methods. At the same time, every chapter has been revised and two entirely new chapters have been added. The updated content reflects the latest advances in both numerical methods and th...
Mareike Schad examines how redistributive policy measures influence intergenerational income mobility, taking into account various facets of the parent-child connection. In the first part, the author investigates the impact of education and education policy on income mobility both theoretically and empirically. The second part addresses individual beliefs regarding the determinants of personal economic success and their effect on income mobility within a society.
The intention of this study is to predict one year in advance whether a regarded firm will grow extraordinarily in the next year. This is crucial for private investors and fund managers who need to decide whether they should invest in a certain firm. Companies like Apple and Amazon have shown that people who recognized the potential of such companies at the right time earned a lot of money. The applied prediction models can also be used by politicians to identify companies which are eligible for funding, because growing companies oftentimes hire many employees. Since annual reports are often publically available for free, it is reasonable to take advantage of them for such a prediction. The prediction models are based on classification trees and forests because they have some very substantial advantages over other methods like neural networks, which are frequently used in literature. For instance, they do not have distributional assumptions, accept both quantitative and qualitative inputs, and are not sensitive with respect to outliers. Furthermore, they are easy to understand by humans and can deal with missing values, which is crucial for practical applications.
A pilot ?ying to a distant city needs to check his position, ?ight path and weather conditions, and must constantly keep his plane under control to land safely.TheIfosurveydataprovideadvanceinformationonchangingeconomic weather conditions and help keep the economy under control. To be sure, by their very nature they only provide short-term information. But like a plane, the economy will not be able to reach its long-term goals if it strays o? course in the short term. The Ifo survey data provide the most comprehensive and accurate, - to-date database in Europe on the state of the business cycle, and the Ifo climate indicator, sometimes simply called “The Ifo”, is the most frequently cited indicator of its kind in Europe. Both the European stock market and theeuroreacttoourindicator.Ifo’smethodologyfordeterminingthebusiness climateindicatorhasbeenexportedtomorethan?ftycountries,mostrecently toTurkeyandChina.TheIfopeoplewereproudtohavebeenaskedtohelpset up polling systems in these countries. It is said that the Chinese government relies more on their “Ifo indicator” than on their o?cial accounting statistics.