Testing and imposing Slutsky symmetry in nonparametric demand systems

Maximization of utility implies that consumer demand systems have a Slutsky matrix which is everywhere symmetric. However, previous non- and semi-parametric approaches to the estimation of consumer demand systems do not give estimators that are restricted to satisfy this condition, nor do they offer powerful tests of this restriction. We use nonparametric modeling to test and impose Slutsky symmetry in a system of expenditure share equations over prices and expenditure. In this context, Slutsky symmetry is a set of nonlinear cross-equation restrictions on levels and derivatives of consumer demand equations. The key insight is that due to the differing convergence rates of levels and derivatives and due to the fact that the symmetry restrictions are linear in derivatives, both the test and the symmetry restricted estimator behave asymptotically as if these restrictions were (locally) linear. We establish large and finite sample properties of our methods, and show that our test has advantages over the only other comparable test. All methods we propose are implemented with Canadian micro-data. We find that our nonparametric analysis yields statistically significantly and qualitatively different results from traditional parametric estimators and tests.     

Inequality Constraints in the Fractionally Integrated GARCH Model

In this article we derive necessary and sufficient conditionsfor the nonnegativity of the conditional variance in the fractionallyintegrated generalized autoregressive conditional heteroskedastic(p, d, q) (FIGARCH) model of the order p 2 and sufficient conditionsfor the general model. These conditions can be seen as beinganalogous to those derived by Nelson and Cao (1992, Journalof Business & Economic Statistics 10, 229–235) forthe GARCH(p, q) model. However, the inequality constraints whichwe derive for the FIGARCH model illustrate two remarkable propertiesof the FIGARCH model which are in contrast to the GARCH model:(i) even if all parameters are nonnegative, the conditionalvariance can become negative and (ii) even if all parametersare negative (apart from d), the conditional variance can benonnegative almost surely. In particular, the conditions forthe (1, d, 1) model substantially enlarge the sufficient parameterset provided by Bollerslev and Mikkelsen (1996, Journal of Econometrics73, 151–184). The importance of the result is illustratedin an empirical application of the FIGARCH(1, d, 1) model toJapanese yen versus U.S. dollar exchange rate data.     

Totally positive regression: E-optimal designs

E-optimality of approximate designs in linear regression models is paired with a dual problem of nonlinear Chebyshev approximation. When the regression functions form a totally positive system, then the information matrices of designs for subparameters turn out to be “almost” totally positive, a property which allows to solve the nonlinear Chebyshev problem. Thereby we obtain explicit formulae for E-optimal designs in terms of equi-oscillating generalized polynomials. The considerations unify and generalize known results on E-optimality for particular regression setups.     

Wer ist von Altersarmut bedroht?

Which groups have particularly low pension entitlements and are therefore most at risk of poverty in old age? Participation in the labour force for some individuals may be interrupted for a variety of reasons, including education, unemployment, raising children or caring for relatives, all of which result in low pensions. Those who are most at risk of poverty in old age are individuals with low earnings, frequent or long periods of unemployment, and single, unemployed mothers. In other words, those impoverished while young are most likely to remain impoverished into old age. Poverty among the elderly should therefore be addressed with the same instruments with which poverty is being fought in earlier stages of life, rather than through changes in the statutory pension insurance system.     

6+5-Protektionismus im Fußball

Ohne Zusammenfassung Norbert Berthold ist Inhaber des Lehrstuhls für Volkswirtschaftslehre, insbesondere Wirtschaftsordnung und Sozialpolitik, an der Universit?t Würzburg und Mitglied des wissenschaftlichen Beirats beim Bundesministerium für Wirtschaft und Technologie     

Time Consistent Collection of Optimal Seigniorage: A Unifying Framework

This paper reviews the existing literature on the time consistency problem of seigniorage collection when monetary policy is determined by optimal taxation considerations. It develops a unifying accounting framework and suggests a general measure for seigniorage, which encompasses the standard measures employed in the literature. In addition, the ex ante optimal solution to the optimal taxation problem is derived and interpreted in relation to the Ramsey principle. We show that the different recommendations of the public finance literature, i.e. the Friedman rule of optimal deflation, [moderately] positive inflation, and seigniorage maximizing inflation, are specific solutions to the optimal taxation problem. The paper continues with a formal illustration of the time consistency problem of the ex ante optimal policy and the characterization of the time consistent solution under discretion. As possible solutions to the time consistency problem, we consider reputational forces, institutional reforms that establish central bank independence, and specific ways of asset and debt management. In particular, it is formally shown that a modified version of the asset and debt management scheme suggested by Persson, Persson, and Svensson is not only necessary but also sufficient for optimality, although this did not hold in their model.     

JBBM at 21 with a Tribute to David T. Wilson: Founding Editor of the Journal of Business-to-Business Marketing

ABSTRACT

Purpose: This article documents the contributions of David T. Wilson to the field of business-to-business marketing in general and his contributions as founding editor of the Journal of Business-to-Business Marketing (JBBM).

Methodology: In-depth interviews were conducted with David T. Wilson’s doctoral students to discuss the impact he had on their education in business-to-business marketing and in their personal lives. The list of dissertations, which Dr. Wilson chaired, co-chaired, or served on committee, was compiled through the cooperation of libraries at Texas A&M University and The Pennsylvania State University. This list was verified through ProQuest, a global information-content and technology company that provides solutions, applications, and products for libraries. Further, information in this article was derived from a literature review of David’s early JBBM editorials and scholarly articles, as well as those of the current sitting editor.

Findings: Results of this research demonstrate David T. Wilson’s long-term commitment to the field of business-to-business marketing over his 33-year career at The Pennsylvania State University. His influence is demonstrated through his research, teaching, and service related to business-to-business marketing.

Research implications: David T. Wilson’s vision for JBBM was to position it as a theoretical journal with an international editorial review board and a global impact, including handing the editorial reigns over to David Lichtenthal, the current sitting Editor since 1995 and Wilson’s 16^th doctoral student out of a career total of 38.

Practical implications: It is the responsibility of the editorial review board to understand the journal’s past to help guide the future. Therefore, understanding the contributions of David T. Wilson, as the founding editor, to JBBM and the field of business-to-business marketing is useful to scholars and managers alike. This understanding provides a valuable historical context.