Skew binary regression with measurement errors

In this paper, we extend the structural probit measurement error model by considering that the unobserved covariate follows a skew-normal distribution. The new model is termed the structural skew-normal probit model. As in the normal case, the likelihood function is obtained analytically which can be maximized by using existing statistical software. A Bayesian approach using Markov chain Monte Carlo techniques to generate from the posterior distributions is also developed. A simulation study demonstrates the usefulness of the approach in avoiding attenuation which is the case with the naive procedure and it seems to be more efficient than using the structural probit model when the distribution of the covariate (predictor) is skew.     

Uniformly implementable small sample integrated likelihood ratio test for one-way and two-way ANOVA under heteroscedasticity and normality

AStA Advances in Statistical Analysis - ANOVA under normally distributed response and heteroscedastic variances is commonly encountered in biological, behavioral, educational and agricultural...     

Tall claims? Sense and nonsense about the importance of height of US presidents

According to both the scientific literature and popular media, all one needs to win a US presidential election is to be taller than one's opponent. Yet, such claims are often based on an arbitrary selection of elections, and inadequate statistical analysis. Using data on all presidential elections, we show that height is indeed an important factor in the US presidential elections. Candidates that were taller than their opponents received more popular votes, although they were not significantly more likely to win the actual election. Taller presidents were also more likely to be reelected. In addition, presidents were, on average, much taller than men from the same birth cohort. The advantage of taller candidates is potentially explained by perceptions associated with height: taller presidents are rated by experts as ‘greater’, and having more leadership and communication skills. We conclude that height is an important characteristic in choosing and evaluating political leaders.     

Trends and challenges of developing human capital in India

With the population touching 1.2 billion, half of which is around 25 years of age, India is set to be among one of the top countries for human capital in the next two decades. While the country has been making rapid progress economically, human capital additions may remain marginal and may not keep up with the pace of economic growth unless accompanied by planned development of manpower. The Indian corporate sector was the first to start a dedicated HR function 30 years ago and the nation was the first to have a Ministry of HRD 20 years ago. Despite the early start, the last two to three decades have provided a mixed bag of experiences and expectations. Conservative HRD policies have not helped India's skill base to develop at the same rate as economic progress. An inadequate research base and the low quality of people entering the HR profession have prevented corporate HRD from becoming more productive than it is now. A lot of attention is directed towards recruitment, retention and compensation strategies rather than to talent multiplication. At the same time, innovative leaders and chief executive officers (CEOs) who have taken up the mantle of HR have made a mark. The future of human capital formation will be bright at the national level if the government makes more intense efforts to build human capital and becomes more innovative and expansive. At the corporate level, the credibility of HR is still suspect as it has not been able to match its steps with those of India's more innovative leaders. Preparation of a new breed of HR professionals combined with education of CEOs in what good HR can do may go a long way in helping Indian HR develop a strong footing.     

IT Governance Characteristics,Electronic Medical Records Sophistication,and Financial Performance in U.S. Hospitals: An Empirical Investigation

As a result of a recent federal government mandate, an increasing number of hospitals have decided to adopt electronic medical record (EMR) systems. This initiative is expected to lead toward more efficient and higher quality health care; however, little is known about governance characteristics and organizational performance for EMR adopters. Our goal is to inform theory and practice by examining hospitals with a sophisticated EMR and comparing those hospitals to similar hospitals (with a less sophisticated EMR) to understand the association between information technology (IT) governance characteristics and the implications on financial performance. Leveraging elements of the upper echelon theory, we posit that hospitals in which the chief information officer (CIO) reports to the chief executive officer, CIO turnover is low, and an IT steering committee is present are more likely to have a sophisticated EMR. We argue that EMR sophistication leads to improved financial performance. Our results underscore the importance of continuity in the CIO position on successful EMR implementations. Results also show that hospital size and financial performance are strongly associated with EMR sophistication. In addition, we find that a sophisticated EMR appears to be a fundamental element in improving hospitals’ revenue cycle management. Moreover, we find that hospitals with a sophisticated EMR appear to be more profitable. Finally, we observe that total payroll expense adjusted by total discharges drops among the sophisticated hospitals, potentially due to an increase in employee productivity. These insights can serve as a basis for tempering expectations relative to the financial impact of EMR adoption.     

Internationalization, innovation and entrepreneurship: business models for new technology-based firms

New technology-based firms, particularly those that develop their business around a new technological platform, are likely to be impacted by globalization, in terms of both pace of innovation and pressure of competition. For these firms, strategic decisions and growth processes are characterized by a deep inter-relationship amongst the processes of internationalization, innovation and entrepreneurship; processes which have tended to be examined independently in distinct bodies of literature. In practice strategic decisions concern each of these processes and address issues such as organizational boundaries, location of the operational activities, what activities to focus on and selection of value partners. The business model by which firms operate needs also to accommodate the spatial dimensions indicated by globalization; and the emergence of global technology markets. Little is known to date about the extent to which business models accommodate or are adapted to internationalization, innovation and entrepreneurship. This paper presents a review of the business model literature from which a generic business model framework is derived, identifying and introducing the main elements of these processes as the firms?? focus, modus and locus. This contribution makes a clear distinction between the business model and the strategy concepts and highlights the relevance of location decisions??not considered by extant business model literature to date. While our discussion draws on the high technology new venture as our primary example, we believe our business model conceptualization has general applicability.     

Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain

We develop results for the use of Lasso and post‐Lasso methods to form first‐stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p. Our results apply even when p is much larger than the sample size, n. We show that the IV estimator based on using Lasso or post‐Lasso in the first stage is root‐n consistent and asymptotically normal when the first stage is approximately sparse, that is, when the conditional expectation of the endogenous variables given the instruments can be well‐approximated by a relatively small set of variables whose identities may be unknown. We also show that the estimator is semiparametrically efficient when the structural error is homoscedastic. Notably, our results allow for imperfect model selection, and do not rely upon the unrealistic “beta‐min” conditions that are widely used to establish validity of inference following model selection (see also Belloni, Chernozhukov, and Hansen (2011b)). In simulation experiments, the Lasso‐based IV estimator with a data‐driven penalty performs well compared to recently advocated many‐instrument robust procedures. In an empirical example dealing with the effect of judicial eminent domain decisions on economic outcomes, the Lasso‐based IV estimator outperforms an intuitive benchmark. Optimal instruments are conditional expectations. In developing the IV results, we establish a series of new results for Lasso and post‐Lasso estimators of nonparametric conditional expectation functions which are of independent theoretical and practical interest. We construct a modification of Lasso designed to deal with non‐Gaussian, heteroscedastic disturbances that uses a data‐weighted ℓ₁‐penalty function. By innovatively using moderate deviation theory for self‐normalized sums, we provide convergence rates for the resulting Lasso and post‐Lasso estimators that are as sharp as the corresponding rates in the homoscedastic Gaussian case under the condition that logp = o(n^1/3). We also provide a data‐driven method for choosing the penalty level that must be specified in obtaining Lasso and post‐Lasso estimates and establish its asymptotic validity under non‐Gaussian, heteroscedastic disturbances.     

Incidence of Social Accountability in Local Governance: The Case of the Network for Fair,Democratic and Sustainable Cities and Territories in Latin America

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - In Latin America, the emergence of a series of civil society initiatives aimed at citizen engagement for social...     

A comparative study of legitimation strategies in hybrid regimes

Despite the growing body of research on ‘hybrid regimes’, few studies address the issue of their domestic legitimacy. Targeting this gap in the literature, this article explores the legitimation strategies of three hybrid regimes around the globe: Russia, Venezuela, and Seychelles. Although these countries differ markedly in almost every aspect that can be thought of, the political systems of all three cases combine formally democratic institutions with authoritarian political dynamics. The qualitative, comparative analysis presented in this article uncovers a number of remarkable similarities between the regimes’ respective legitimization strategies. However, while the strategies for engendering legitimacy are similar across the cases, the content of these strategies is different: the Russian leadership mainly relies on preserving order and nationalism, the Venezuelan regime employs a more populist strategy, and the Seychellois regime uses a more personal and particularistic approach. Our findings not only provide insights into the mechanisms hybrid regimes use to consolidate their authority, but also highlight important differences and similarities between hybrid regimes around the world.