The gender wage gap in Austria: eppur si muove!

We examine the change of the gender wage gap in Austria between 2002 and 2007 using Juhn et al. (Workers and their wages, AEI Press, Washington DC, pp 107–143, 1991) decomposition. We analyze data from Austrian tax records which we merge with social security records and Austrian micro-censuses of the years 2002 and 2007. We find that the gender wage gap declined from 21 % in 2002 to 18 % in 2007. The main determinant of this decline is the relative improvement of women’s unobserved characteristics. The decline of the gender wage gap is also due to women having attained more formal education and to a convergence of men’s and women’s returns to education. Women’s improved educational attainments were partly offset by a shift in the demand for skilled workers that disadvantaged unskilled workers, most of whom are women, resulting in a moderate decrease of the gender pay gap over these years. Robustness checks confirm our results.     

Time-varying correlations in oil,gas and CO2 prices: an application using BEKK,CCC and DCC-MGARCH models

Previous literature has identified oil and gas prices as being the main drivers of CO₂ prices in a univariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) econometric framework (Alberola et al., 2008; Oberndorfer, 2009). By contrast, we argue in this article that the interrelationships between energy and emissions markets shall be modelled in a Vector Autoregressive (VAR) and Multivariate GARCH (MGARCH) framework, so as to reflect the dynamics of the correlations between the oil, gas and CO₂ variables overtime. Using the Baba–Engle–Kraft–Kroner (BEKK), Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation MGARCH (DCC-MGARCH) models on daily data from April 2005 to December 2008, we highlight significant own-volatility, cross-volatility spillovers, and own persistent volatility effects for nearly all markets, indicating the presence of strong Autoregressive Conditional Heteroscedasticity (ARCH) and GARCH effects. Besides, we provide strong empirical evidence of time-varying correlations in the range of [?0.3;?0.3] between oil and gas, [?0.05;?0.05] between oil and CO₂, and [?0.2;?0.2] between gas and CO₂, that have not been considered by previous studies. These findings are of interest for traders and utilities in the energy sector, but also for a broader applied economics audience.     

Teaching the history of economic thought

The main purpose of this survey is to present the results of a questionnaire recently sent to historians of economic thought. This questionnaire — presented in the appendix - was devised so as to provide data on the approaches and experiences of teaching the history of economic thought in a wide range of universities throughout the world.

A summary of the most significant results is presented in section 2 of this survey. Section 1 provides a general introduction to the methodological context of the discussion of problems concerning the teaching of the discipline.     

Foreign and domestic R&D investment

A considerable share of R&D investment is due to multinational firms that simultaneously operate R&D bases at home and abroad. We develop a simple model of foreign and domestic R&D investment and test the model's predictions on a sample of 146 Japanese multinational firms’ R&D investments in Japan and the United States in 1996. The empirical results confirm that the foreign to domestic R&D ratio depends on relative technological opportunities and relative demand conditions, with foreign research expenditures responding to technological opportunity and foreign development expenditures responding to demand.     

Assessment of innovative software technology: developing an end-user-initiated interface design strategy

Knowledge intensive services and, in particular, R&D services contribute significantly to innovation in firms. The objective of this paper is to find out which characteristics of firms explain the acquisition of R&D services and to analyse whether there are differences depending on the typology of the supplier (universities, technology centres and consulting firms). Three main conclusions emerge from the econometric estimations carried out with information from a survey of innovative firms in the region of Valencia in Spain. First, the results show that firm size and age matter in the decision to buy R&D services. Second, our results are consistent with the relevance that the literature gives to human capital in absorbing external knowledge. Third, innovation policy has a significant influence on the decision to acquire R&D services, particularly from universities and technology centres.     

Licensing policies for a new product

This paper studies licensing policies for the owner of a new product and addresses their welfare impact in the assessment of market failures. We show that the best licensing policy for the patent holder is fixed fee licensing with an exclusive territory clause. Consumers are also better off with fixed fees but do not prefer the exclusive territory clause. Social welfare is higher under exclusive territories when fixed costs are not too large. As for efficiency, the number of licences in the private market equilibrium falls short of the socially optimal solution. Our analysis discloses that (i) any policy measures aimed at enhancing the diffusion of technology, in terms of the number of licences, would be welcomed and, (ii) the permissive treatment received by licensing agreements with exclusive territories is justified.     

What circumstances lead a government to promote brain drain?

This paper aims to complement the existing theoretical brain drain literature, focusing on the interaction between education, skilled emigration and government intervention in a small open economy. This article first characterises different emigration patterns that may arise in equilibrium, then seeks the conditions that lead a government to promote brain-drain. The model shows that the government may promote skilled emigration among workers with intermediate skills even though the resulting brain drain decreases per capita income. Emigrants remittances outweigh the income they would produce if they did not emigrate. Therefore, the government makes less severe the fall in per capita income that follows the brain drain by encouraging emigration among those skilled workers who are more productive abroad.     

Hedonic price equilibria, stable matching, and optimal transport: equivalence, topology, and uniqueness

Hedonic pricing with quasi-linear preferences is shown to be equivalent to stable matching with transferable utilities and a participation constraint, and to an optimal transportation (Monge–Kantorovich) linear programming problem. Optimal assignments in the latter correspond to stable matchings, and to hedonic equilibria. These assignments are shown to exist in great generality; their marginal indirect payoffs with respect to agent type are shown to be unique whenever direct payoffs vary smoothly with type. Under a generalized Spence-Mirrlees condition (also known as a twist condition) the assignments are shown to be unique and to be pure, meaning the matching is one-to-one outside a negligible set. For smooth problems set on compact, connected type spaces such as the circle, there is a topological obstruction to purity, but we give a weaker condition still guaranteeing uniqueness of the stable match.     

CAUSAL INFERENCE ON EDUCATION POLICIES: A SURVEY OF EMPIRICAL STUDIES USING PISA,TIMSS AND PIRLS

The identification of the causal effects of educational policies is the top priority in recent education economics literature. As a result, a shift can be observed in the strategies of empirical studies. They have moved from the use of standard multivariate statistical methods, which identify correlations or associations between variables only, to more complex econometric strategies, which can help to identify causal relationships. However, exogenous variations in databases have to be identified in order to apply causal inference techniques. This is a far from straightforward task. For this reason, this paper provides an extensive and comprehensive overview of the literature using quasi‐experimental techniques applied to three well‐known international large‐scale comparative assessments, such as PISA, PIRLS or TIMSS, over the period 2004–2016. In particular, we review empirical studies employing instrumental variables, regression discontinuity designs, difference in differences and propensity score matching to the above databases. Additionally, we provide a detailed summary of estimation strategies, issues treated and profitability in terms of the quality of publications to encourage further potential evaluations. The paper concludes with some operational recommendations for prospective researchers in the field.     

Extreme value statistics for censored data with heavy tails under competing risks

This paper addresses the problem of estimating, from randomly censored data subject to competing risks, the extreme value index of the (sub)-distribution function associated to one particular cause, in a heavy-tail framework. Asymptotic normality of the proposed estimator is established. This estimator has the form of an Aalen-Johansen integral and is the first estimator proposed in this context. Estimation of extreme quantiles of the cumulative incidence function is then addressed as a consequence. A small simulation study exhibits the performances for finite samples.