Generalized Linear Models (2nd ed.)

Regression Analysis of Count Data: Preface

The statistical analysis of compositional data

Here are two books on a topic new to Technometrics: statistical and mathematical demography. The first author of Applied Mathematical Demography wrote the first two editions of this book alone. The second edition was published in 1985. Professor Keyfritz noted in the Preface (p. vii) that at age 90 he had no interest in doing another edition; however, the publisher encouraged him to find a coauthor. The result is an additional focus for the book in the world of biology that makes it much more relevant for the sciences. The book is now part of the publisher’s series on Statistics for Biology and Health. Much of it, of course, focuses on the many aspects of human populations. The new material focuses on mature population models, the particular focus of the new author (see, e.g., Caswell 2000). As one might expect from a book that was originally written in the 1970s, it does not include a lot of information on statistical computing. The new book by Alho and Spencer is focused on putting a better emphasis on statistics in the discipline of demography (Preface, p. vii). It is part of the publisher’s Series in Statistics. The authors are both statisticians, so the focus is on statistics as used for demographic problems. The authors are targeting human applications, so their perspective on science does not extend any further than epidemiology. The book actually strikes a good balance between statistical tools and demographic applications. The authors use the first two chapters to teach statisticians about the concepts of demography. The next four chapters are very similar to the statistics content found in introductory books on survival analysis, such as the recent book by Kleinbaum and Klein (2005), reported by Ziegel (2006). The next three chapters are focused on various aspects of forecasting demographic rates. The book concludes with chapters focusing on three areas of applications: errors in census numbers, financial applications, and small-area estimates.

Univariate Discrete Distributions

The literature on international trade and firm performance grows exponentially. This paper attempts to summarize what we learn from this literature to guide future empirical and theoretical work in this area. The focus is on the empirical part of the literature that consists of recently published papers using data for firms from manufacturing or services industries to study the links between international trade (exports and imports) and dimensions of firm performance (productivity, wages, profitability and survival).

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International trade and firm performance: a survey of empirical studies since 2006

In many economic settings, the variable of interest is often a fraction or a proportion, being defined only on the unit interval. The bounded nature of such variables and, in some cases, the possibility of nontrivial probability mass accumulating at one or both boundaries raise some interesting estimation and inference issues. In this paper we: (i) provide a comprehensive survey of the main alternative models and estimation methods suitable to deal with fractional response variables; (ii) propose a full testing methodology to assess the validity of the assumptions required by each alternative estimator; and (iii) examine the finite sample properties of most of the estimators and tests discussed through an extensive Monte Carlo study. An application concerning corporate capital structure choices is also provided.

https://papers.ssrn.com/sol3/Delivery.cfm/j_1467-6419_2009_00602_x_wml.pdf?abstractid=1745753&mirid=2

Alternative estimating and testing empirical strategies for fractional regression models

The present article discusses alternative regression models and estimation methods for dealing with multivariate fractional response variables. Both conditional mean models, estimable by nonlinear least squares and quasi-maximum likelihood, and fully parametric models (Dirichlet and Dirichlet-multinomial), estimable by maximum likelihood, are considered. In contrast to previous papers but similarly to the univariate case, a new parameterization is proposed here for the parametric models, which allows the same specification of the conditional mean of interest to be used in all models, irrespective of the specific functional form adopted for it. The text also discusses at some length the specification analysis of fractional regression models, proposing several tests that can be performed through artificial regressions. Finally, an extensive Monte Carlo study evaluates the finite sample properties of most of the estimators and tests considered. JEL classification code: C35.

/pdf/regression-analysis-of-multivariate-fractional-data-16jb8x9hae.pdf

Regression Analysis of Multivariate Fractional Data

This study aims to investigate the role of board gender diversity in explaining the effects of board members’ political connections on banking performance in the Eurozone.,This paper analyses panel data on 83 banks supervised by the European Central Bank (ECB) for the period 2013–2017, using a generalized moment method-type estimation methodology.,Results suggest that when gender diversity is high, there is a U-shaped nonlinear relationship between political connections and banking performance. Empirical evidence also indicates that differentiating characteristics of women, such as greater ethical concern and risk aversion, help mitigate the negative effects of political connections on banking performance, safeguarding the institutions’ interests from the adverse effects of personal agendas. In addition, these results also suggest that a minimum of 14% of gender diversity can contribute to greater social justice and beneficial structural change.,The period studied may not yet fully reflect the impact of the assessment of the board members’ suitability.,The paper contributes to the growing literature on political connections and gender diversity, providing greater insight into their role as determinants of banking performance. The study also suggests the benefits and possible limitations of the regulator’s two impositions – gender diversity quotas and members’ repute (members’ political connections).,The effect of gender diversity on the impact of board members’ political connections on banking performance has not been studied, as these relationships have not been analysed separately for banks directly supervised by the ECB.

/pdf/political-connections-and-banking-performance-the-moderating-1xgiypd6de.pdf

Political connections and banking performance: the moderating effect of gender diversity

This paper proposes a new conditional mean test to assess the validity of binary and fractional parametric regression models. The new test checks the joint significance of two simple functions of the fitted index and is based on a very flexible parametric generalization of the postulated model. A Monte Carlo study reveals a promising behaviour for the new test, which compares favourably with that of the well-known RESET test as well as with tests where the alternative model is nonparametric.

A Generalized Goodness-of-functional Form Test for Binary and Fractional Regression Models

The present article discusses alternative regression models and estimation methods for dealing with multivariate fractional response variables. Both conditional mean models, estimable by quasi-maximum likelihood, and fully parametric models (Dirichlet and Dirichletmultinomial), estimable by maximum likelihood, are considered. A new parameterization is proposed for the parametric models, which accommodates the most common specifications for the conditional mean (e.g., multinomial logit, nested logit, random parameters logit, dogit). The text also discusses at some length the specification analysis of fractional regression models, proposing several tests that can be performed through artificial regressions. Finally, an extensive Monte Carlo study evaluates the finite sample properties of most of the estimators and tests considered.

José M. R. Murteira

Papers

Alternative estimating and testing empirical strategies for fractional regression models

Regression Analysis of Multivariate Fractional Data

Political connections and banking performance: the moderating effect of gender diversity

A Generalized Goodness-of-functional Form Test for Binary and Fractional Regression Models

Regression Analysis of Multivariate Fractional Data