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Labor Market Reforms and Earnings Dynamics: the Italian Case
This paper summarizes statistics on the key aspects of the distribution of earnings levels and earnings changes using administrative (social security) data from Italy between 1985 and 2016. During the time covered by our data, earnings inequality and earnings volatility increased, while earnings mobility did not change significantly. We connect these trends with some salient facts about the Italian labor market, in particular the labor market reforms of the 1990s and 2000s which induced a substantial rise in fixedterm and part-time employment. The rise in parttime work explains much of the rise in earnings inequality, while the rise in fixed-term contracts explains much of the rise in volati...
Employment Time and the Cyclicality of Earnings Growth
We study how the distribution of earnings growth evolves over the business cycle in Italy. We distinguish between two sources of annual earnings growth: changes in employment time (number of weeks of employment within a year) and changes in weekly earnings. Changes in employment time generate the tails of the earnings growth distribution, and account for the increased dispersion and negative skewness in the distribution of earnings growth in recessions. In contrast, the cross-sectional distribution of weekly earnings growth is symmetric and stable over the cycle. Thus, models that rely on cyclical idiosyncratic risk, should separately account for the employment margin in their earnings process to avoid erroneous conclusions. We propose such a process, based on the combination of simple employment and wage processes with few parameters, and show that it captures the procyclical skewness in changes in earnings growth and other important features of its distribution.
Artbibliographies Modern
Abstracts of journal articles, books, essays, exhibition catalogs, dissertations, and exhibition reviews. The scope of ARTbibliographies Modern extends from artists and movements beginning with Impressionism in the late 19th century, up to the most recent works and trends in the late 20th century. Photography is covered from its invention in 1839 to the present. A particular emphasis is placed upon adding new and lesser-known artists and on the coverage of foreign-language literature. Approximately 13,000 new entries are added each year. Published with title LOMA from 1969-1971.
The Case for Marriage
A groundbreaking look at marriage, one of the most basic and universal of all human institutions, which reveals the emotional, physical, economic, and sexual benefits that marriage brings to individuals and society as a whole. The Case for Marriage is a critically important intervention in the national debate about the future of family. Based on the authoritative research of family sociologist Linda J. Waite, journalist Maggie Gallagher, and a number of other scholars, this book’s findings dramatically contradict the anti-marriage myths that have become the common sense of most Americans. Today a broad consensus holds that marriage is a bad deal for women, that divorce is better for childr...
Affect Regulation Training
Emotion Regulation is currently one of the most popular topics in clinical psychology. Numerous studies demonstrate that deficits in emotion regulation skills are likely to help maintain various forms of psychological disorders. Thus, enhancing emotion regulation has become a major target in psychotherapeutic treatments. For this purpose, a number of therapeutic strategies have been developed and shown to be effective. However, for practitioners it is often difficult to decide which of these strategies they should use or how they can effectively combine empirically-validated strategies. Thus, the authors developed the Affect Regulation Training as a transdiagnostic intervention which systematically integrates strategies from cognitive behavior therapy, mindfulness-based interventions, emotion-focused therapy, and dialectical behavioral therapy. The effectiveness of ART has been demonstrated in several high-quality studies.
Computer Aided Verification
This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021. The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections: Part I: invited papers; AI verification; concurrency and blockchain; hybrid and cyber-physical systems; security; and synthesis. Part II: complexity and termination; decision procedures and solvers; hardware and model checking; logical foundations; and software verification. This is an open access book.
Federated Learning
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
