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The variance targeting estimator (VTE) for generalized autoregressive conditionally heteroskedastic (GARCH) processes has been proposed as a computationally simpler and misspecification-robust alternative to the quasi-maximum likelihood estimator (QMLE). In this paper we investigate the asymptotic behavior of the VTE when the stationary distribution of the GARCH process has infinite fourth moment. Existing studies of historical asset returns indicate that this may be a case of empirical relevance. Under suitable technical conditions, we establish a stable limit theory for the VTE, with the rate of convergence determined by the tails of the stationary distribution. This rate is slower than that achieved by the QMLE. The limit distribution of the VTE is nondegenerate but singular. We investigate the use of subsampling techniques for inference, but find that finite sample performance is poor in empirically relevant scenarios.

This issue is a selected bibliography covering the subject of leadership.

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

The paper introduces and annotates periodical articles, monographs, and audiovisual material examining library instruction and information literacy.

Information is provided about each source, and the paper discusses the characteristics of current scholarship, and describes sources that contain unique scholarly contributions and quality reproductions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

Even more than 50 years after the Civil Rights Act of 1964 prohibited discrimination toward a number of groups in employment settings in the United States, workplace discrimination remains a persistent problem in organizations. This chapter provides a comprehensive review and analysis of contemporary theory and evidence on the nature, causes, and consequences of discrimination before synthesizing potential methods for its reduction. We note the strengths and weaknesses of this scholarship and highlight meaningful future directions. In so doing, we hope to both inform and inspire organizational and scholarly efforts to understand and eliminate workplace discrimination.

Often overlooked in discussions related to how to ensure accessible and affordable high-quality early childhood education is the heavy burden that has been carried by the early childhood workforce; the data reveal a level of exploitation of this workforce that must be considered and addressed. This chapter will focus attention on the economic realities of the early childhood workforce as a key element to achieve equitable access to affordable high-quality early childhood services.

This paper employs three months of observations sampled at 60‐second intervals to analyze the behavior of two basket indices from the emerging Athens Stock Exchange: the General Index of the Main (Listed) Securities Market and the Index of the Secondary (Unlisted) Securities Market. The empirical analysis employs robust regression using dummy variables to uncover a rich variety of time‐of‐day regularities in the first four moments of the distribution of returns, the tail behavior, and the dynamic and cross‐dynamic behavior of the two markets. Markets tend to behave differently during their opening and closing, while results are invariably sensitive to outliers. Overall, the results are comparable to those reported for developed equity markets. However, in contrast to other studies, we find no conclusive evidence of long‐memory in either the mean or variance process. ARMA models of seasonally differenced absolute returns were used as a simple but effective way of dealing with the strong regularity in volatility.

This study examines whether US effective tax rates on foreign income of US multinationals (MNCs) vary according to the favorability of US macroeconomic conditions relative to those of non-US countries. We use the pre-Tax Cuts and Jobs Act of 2017 regime as our setting and present evidence that US effective tax rates on foreign earnings are higher (lower) in periods when macroeconomic conditions in the US are favorable (unfavorable) relative to those elsewhere in the world. These results imply that firms seek to maximize after-tax returns when making asset allocation decisions, even when faced with US repatriation tax costs. We provide further evidence indicating that our primary results vary predictably according to certain firm characteristics, namely the ability to acquire funds for investment through less expensive means than repatriation of foreign profits, high intangible asset intensity, and tax aggressiveness. Finally, we show that economic uncertainty in the US counters the positive effects of favorable US macroeconomic conditions on US effective tax rates on foreign earnings. Our findings have implications for the policy debate around the US taxation of foreign earnings and provide a (partial) explanation for the observed lower-than-expected levels of repatriation activity following the implementation of the Tax Cuts and Jobs Act of 2017.