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This chapter develops a framework for quantile regression in binary longitudinal data settings. A novel Markov chain Monte Carlo (MCMC) method is designed to fit the model and its computational efficiency is demonstrated in a simulation study. The proposed approach is flexible in that it can account for common and individual-specific parameters, as well as multivariate heterogeneity associated with several covariates. The methodology is applied to study female labor force participation and home ownership in the United States. The results offer new insights at the various quantiles, which are of interest to policymakers and researchers alike.

We study the statistical properties of Pearson correlation coefficients of Gaussian ranks, and Gaussian rank regressions – ordinary least-squares (OLS) models applied to those ranks. We show that these procedures are fully efficient when the true copula is Gaussian and the margins are non-parametrically estimated, and remain consistent for their population analogs otherwise. We compare them to Spearman and Pearson correlations and their regression counterparts theoretically and in extensive Monte Carlo simulations. Empirical applications to migration and growth across US states, the augmented Solow growth model and momentum and reversal effects in individual stock returns confirm that Gaussian rank procedures are insensitive to outliers.

The collapse of Italian economy has coincided with the global financial crisis to which derivatives are suspected to be responsible of its propagation. For this reason, this study aims to examine whether the use of derivatives affects the profitability of Italian banks during both the global financial crisis period and the recession period of Italian economy. To reach this goal an appropriate econometric procedure namely the dynamic Generalized Method of Moments system is applied using data from 22 Italian banks over the long period 2005–2017. A series of bank-specific indicators are used to explain the effect of overall derivatives and each derivative instrument separately on Italian banks’ profitability. The results of regressions panels indicate that in general derivatives as well as measured in the whole or splitting up in instruments specifically in forwards, options, and, in particular, swaps affect positively the profitability of Italian banks. The main conclusion is that – despite the episode of economic recession in Italy – Italian banks boost their profitability by using derivatives.

As practical contribution, policy-makers in Italy should throw out the assumption of the implication of derivatives in the fragility of the banking system. On the contrary, they should pave the way easily for Italian banks’ managers to deal with derivatives and look out for the real problems of the recent collapse of the Italian economy.

Over the last several decades, businesses have faced mounting pressures from diverse stakeholders to alter their corporate operations to become more socially and environmentally responsible. In turn, many firms appear to have responded by implementing more sustainable practices — measuring, documenting, and publishing annual CSR or sustainability reports to showcase how they are addressing important issues in this area, including: resource stewardship, waste management, greenhouse gas emission reductions, fair and safe labor practices, amongst other stakeholder concerns. And yet, research in this domain has not yet systematically examined whether businesses have, on the whole, changed their practices in tandem with the important changes in its institutional context over time. Have corporate CSR initiatives, in fact, been growing over the last 25 years or has the increased attention to CSR actually been much ado about nothing? In this chapter, we review the empirical literature on CSR to uncover that common measures of CSR such as the KLD do not support the concept that CSR practices have increased substantively over the last 25 years. We supplement this historical review by modeling the growth curves of CSR implementation in practice and find that the pace of positive change has indeed been glacial. More alarmingly, we also look at corporate social irresponsibility (CSiR) and find that, contrary to expectations, businesses have become more, not less, irresponsible during this same time period. Implications of these findings for theory are presented as are suggestions for future research in this domain.

We examine the use of relative performance evaluation (RPE), asymmetry in pay for skill/luck, and compensation benchmarking for a sample of firms involved in a spinoff. The spinoff affects firm characteristics that influence the use of the identified compensation practices. We test for differences in the compensation practices for the pre- and post-spinoff firms. We find that RPE is used for post-spinoff CEOs, but not pre-spinoff CEOs. Post-spinoff CEOs are also paid asymmetrically for luck where they are rewarded for good luck but not punished for bad luck. Both pre- and post-spinoff CEOs receive similar levels of compensation benchmarking. The study provides additional evidence on factors that influence compensation practices. Our spinoff sample allows us to examine how compensation practices are affected by changes in firm characteristics while keeping other determinants of compensation constant (i.e., the board and, in many cases, the CEO). Our findings contribute to the understanding of how the identified compensation practices are used.

This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is not an endorsement of the fixed effects estimator as is done in practice. Non-rejection of the null provides support for the random effects estimator which is efficient under the null. The chapter offers practical tips on what to do in case the null is rejected including checking for endogeneity of the regressors, misspecified dynamics, and applying a nonparametric Hausman test, see Amini, Delgado, Henderson, and Parmeter (2012, chapter 16). Alternatively, for the fixed effects die hard, the chapter suggests testing the fixed effects restrictions before adopting this estimator. The chapter also recommends a pretest estimator that is based on an additional Hausman test based on the difference between the Hausman and Taylor estimator and the fixed effects estimator.

In this study, we examine the relationship between political connections of private firms and the initial public offering process. Using registration statement information, we create a unique database of politically connected IPO firms. We find that political connections are substitutes to high-quality underwriters and big four auditors. Politically connected firms manage earnings more highly upward than non-connected firms prior to the public offering. Politically connected firms also exhibit less underpricing than non-connected firms. Finally, politically connected IPO firms have superior post-IPO returns relative to non-connected IPO firms.

We examine the empirical relationship between direct equity agency costs measures and corporate governance control mechanisms to control equity agency costs. We measure the three direct agency cost proxies commonly used in the literature: the operating expense; asset turnover; and selling, general, and administrative (SGA) ratios. Internal corporate governance control mechanisms examined are inside ownership (IO), outside ownership concentration (OC), the size of the board of directors (BODs), and the composition of the BODs (proportion of nonexecutive (NE) directors and separation of chief executive officer (CEO) and board chair). The external corporate governance control mechanism examined is the size of bank debt (short-term debt). Univariate and multivariate tests reveal that the only statistically significant relationship between corporate governance control mechanisms and direct equity agency cost measures is the negative relationship between the proportion of IO and direct agency costs. The asset utilization ratio (asset turnover) ratio is the best proxy for direct equity agency costs and can be useful for event studies of announcement period excess returns.