On the Role of Outsiders in Technical Development

In this paper, it is argued that outsiders play an important role in the dynamics of technical change and that, for this reason, outsider involvement is also an important entry if one wants to 'improve' or democratize technical development. Outsiders are defined as people not involved in technical development and not sharing the rules that guide the design and development of a technology. The totality of these rules makes up the technological regime of a technology. Technological regimes are characterized by certain trajectories of technical development. The focus in this paper is on outsiders who may trigger (radical) technical change that transform current technological regimes. Three different types of such outsiders are distinguished and their role in technical development is discussed: professional scientists and engineers, outsider firms and societal pressure groups.     

POPULATION POLICY THROUGH TRADABLE PROCREATION ENTITLEMENTS*

One of the first tradable rights proposal is Boulding's (The Meaning of the Twentieth Century, London: George Allen and Unwin Ltd, 1964 ), dealing with overpopulation. We discuss both tradable procreation allowances and exemptions domestically and globally, to address underpopulation as well. We focus on three effects. Notably, the rights' tradability entails that whereas exemptions or expensive enough allowances benefit the poor, cheap allowances benefit the rich. A natalist policy also worsens the average education level of the next generation, whereas population control enhances it. Also, if procreation rights are grandfathered to countries, the scheme redistributes further. Our analysis suggests that procreation entitlements may be efficient in controlling population, without being necessarily anti‐redistributive.     

Event History Data and Making a History out of Cross-Sectional Data

At the turn of 20th century social scientists have built up a large stock of cross-sectional data-sets to study social change. However, scholars more and more collect event history data containing the exact timing of events. Comparing the (dis)advantages event history data are to be preferred. However, for research on value change the event history approach is inapplicable, since it is not possible to ask the timing of a value change retrospectively. I will illustrate that value change (i.e. cohort differences) can be studied adequately with cross-sectional data, if information about the historical context is added. For this purpose I test Inglehart's value change thesis.Interestingly, there are also topics in which cross-sectional data-sets are unnecessarily being used. Using research on secularization as an example, I show that the event-history approach can be used to answer the question whether the decreasing number of religious people concerns a cohort-effect. However, whatever data-set is being used, to study cohort differences, one should always give a theoretical answer to the key-question: what exactly makes cohorts different     

Methods for Default and Robust Bayesian Model Comparison: the Fractional Bayes Factor Approach

In the Bayesian approach to model selection and hypothesis testing, the Bayes factor plays a central role. However, the Bayes factor is very sensitive to prior distributions of parameters. This is a problem especially in the presence of weak prior information on the parameters of the models. The most radical consequence of this fact is that the Bayes factor is undetermined when improper priors are used. Nonetheless, extending the non-informative approach of Bayesian analysis to model selection/testing procedures is important both from a theoretical and an applied viewpoint. The need to develop automatic and robust methods for model comparison has led to the introduction of several alternative Bayes factors. In this paper we review one of these methods: the fractional Bayes factor (O'Hagan, 1995). We discuss general properties of the method, such as consistency and coherence. Furthermore, in addition to the original, essentially asymptotic justifications of the fractional Bayes factor, we provide further finite-sample motivations for its use. Connections and comparisons to other automatic methods are discussed and several issues of robustness with respect to priors and data are considered. Finally, we focus on some open problems in the fractional Bayes factor approach, and outline some possible answers and directions for future research.     

Improving the estimation of total factor productivity growth: capital operating time in a latent variable approach

Measuring labor and capital services accurately is essential to obtaining reliable estimates of production functions and total factor productivity (TFP) growth. Using data on the operating time of capital, a series that exists for the French business sector, greatly improves the measurement of effective capital services in production. The ensuing estimation results are consistent with Cobb–Douglas technology under constant returns to scale, with the factor elasticities not statistically different from their income shares. In the same framework, TFP growth is estimated as a latent variable and found to be less volatile than accounting residuals, negatively correlated with employment, and free of cyclicality. It is statistically best estimated as a first-order autoregressive process, with an autoregressive coefficient of 0.95. Total factor productivity growth was estimated to have declined steadily between the mid-1970s and mid-1990s, but the rate of decline has diminished since then.     

On de-seasonalising adjusted-average formulae

The techniques of Borgan (1979) are extended to cover data with seasonal variations. Examples are given, and it is suggested that the formulae presented here give smoother results than those traditionally employed to deal with economic time series subject to seasonal variations.     

Going Alone: The Case for Relaxed Reciprocity in Freeing Trade

We examine the output elasticity of infrastructure for four South Asian countries viz., India, Pakistan, Bangladesh, and Sri Lanka using panel cointegration techniques for the period 1980–2005. In this context, we develop an index of infrastructure stocks and investigate the impact of infrastructure on output. The study finds a long-run equilibrium relationship between output and infrastructure along with other relevant variables, such as gross domestic capital formation (GDCF), labor force, international trade and human capital. The results reveal that GDCF, labor force, export and expenditure on human capital exhibit a positive contribution to output. More importantly, infrastructure development contributes significantly to output growth in South Asia. Further, the panel causality analysis shows that there is mutual feedback between total output and infrastructure development.     

What hinders innovation performance of services and manufacturing firms in Mexico?

Barriers to innovation are heterogeneous, of financial and non-financial nature. The importance of barriers to innovation and their actual influence on innovation depend on firms’ characteristics such as sectoral affiliation, technological behavior and their response to perceived obstacles to innovation. Firms either continue to engage in innovation, or they avoid the activity altogether. This paper explored the nature and perceived importance of the obstacles to innovation that firms confront, in a developing-country context; we build on survey data about firms in Mexico. Our findings suggest that two kinds of policy interventions should help offset a firm’s perception of barriers to innovation. On the one hand, policies should enhance the innovation capacity of firms interested in innovation; on the other hand, policies need to tackle factors that reduce the interest of firms in innovation. Policies that boost demand for locally generated innovations would assist in achieving both these goals.     

Economic well-being and poverty among the elderly: An analysis based on a collective consumption model

We apply the collective consumption model of Browning et al. (2010) to analyse economic well-being and poverty among the elderly. The model focuses on individual preferences, a consumption technology that captures the economies of scale of living in a couple, and a sharing rule that governs the intra-household allocation of resources. The model is applied to a time series of Dutch consumption expenditure surveys. Our empirical results indicate substantial economies of scale and a wife's share that is increasing in total expenditures. We further calculated two sets of poverty rates: one based on the collective consumption model and one based on the traditional approach with a standard equivalence scale. Poverty among widowers is underestimated by the traditional approach. The same is true for women (men) in elderly couples for the first (later) time periods in our analysis. Finally, we analysed the impact of becoming a widow(er). Based on cross-sectional evidence, we find that the drop in material well-being following the husband's death is rather substantial for women. For men, the picture is reversed.     

Examining the Effectiveness of Fear Appeals in Prompting Help‐Seeking: The Case of At‐Risk Gamblers

With a sample of Australian at‐risk gamblers, this research examines the impact of gender and individual difference in experiential avoidance (EA; cognitive and emotional suppression) on the processing of fear appeals. Study 1, through thematic analysis, explores fear appeal perceptions among at‐risk gamblers. The results identify that relevant threats, such as social and psychological, should be integrated into fear‐inducing advertising stimuli. Study 2 uses multigroup comparisons in structural equation modeling (SEM) to test the robustness of the revised protection motivation model (RPMM) in predicting the effectiveness of fear appeals to induce help‐seeking intentions in at‐risk gamblers. This research examines the boundary conditions of the RPMM through the moderating roles of gender and EA. The results provide evidence that fear partially mediates the impact of perceived susceptibility (PS) on help‐seeking intentions in low experiential avoiders, whereas high experimental avoiders resist fear elicitation. Furthermore, evoked fear does not lead to help‐seeking intentions in male at‐risk gamblers. In female at‐risk gamblers, while fear prompts help‐seeking intentions, PS (i.e., probability of harm) does not translate to behavioral intentions via fear. For both genders and low and high experiential avoiders, cognitive appraisals of PS significantly and positively impact help‐seeking intentions. This research demonstrates the unique roles of gender and EA on fear appeal effectiveness in at‐risk gamblers.