Does Labor Market Status Influence Self-Assessed Health?

This study examines whether individuals’ self-assessed health is related to their previous standing in the labor market and their self-assessed health at that time. We find that, once self-assessed health in the past is controlled for, none of the specified reasons behind individuals’ labor market status at that time, including the inability to find work, have a statistically significant adverse impact on current assessment of physical or mental health. We do find, however, that women obtaining a job in the past period will currently perceive that their physical health is improved, and that previously unemployed men with a job to return to in the current period also experienced perceptions of better health in the current period. We present evidence that these perceptions share a common factor with other health indicators such as sick days and quasi-objective measures of physical and mental health.     

A collective labor supply model with complementarities in leisure: Identification and estimation by means of panel data

We present a novel identification strategy for a collective labor supply model that allows for complementarities in leisure (i.e., individuals may enjoy leisure more in company of their spouse). Individual preferences and the Pareto weights (which capture the intra-household bargaining process) are identified by making use of panel data with couples and individuals who became a widow(er) in the observation period, along with the assumption that an individual's preferences can only change in a particular manner after the spouse's death. The change in preferences comes from changes in observable variables that can be controlled for (like mental health) and from the loss of the possibility to jointly enjoy leisure after the couple's dissolution. We apply the model to American households coming from the first nine waves of the Health and Retirement Study (1992-2008) and show that complementarities in leisure are indeed important when modeling spouses' labor supply choices.     

Pasinetti,Keynes and the multiplier

This paper explores the relationship between the Keynesian multiplier and Pasinetti's model of pure production. Key assumptions of Pasinetti's model are its multisectoral structure, the definition of all income as a reward to labouring activities and, as a consequence, the operation of a pure labour theory of value. A translation between these models is effected by introducing investment as an exogenous determinant. By drawing from Keynes to apply his concept of the wage unit, it is possible to aggregate from Pasinetti's multisectoral model to a genuinely macroeconomic multiplier. This provides a way of using the scalar Keynesian multiplier without making the restrictive one-commodity assumption. In addition, this formal demonstration enhances our understanding of the relationship between the wage unit and the labour theory of value. Finally, critics have argued that Pasinetti downgrades the importance of institutional analysis; in contrast, the derivation of a scalar Keynesian multiplier contributes to an understanding of how relevant Pasinetti's approach is to the analysis of a monetary production economy.     

Assessing environmental sustainability in tourism and recreation areas: a risk-assessment-based model

This paper presents a three-stage model that applies the principles of risk assessment to the evaluation of environmental sustainability in the tourism and recreation sectors. The model uses both qualitative and quantitative data. While assessing environmental risk at and from tourism and recreation areas is fundamental to sustainable management, existing methodologies rely on sets of environmental data that are often poorly linked and difficult to interpret in a holistic manner. Risk assessment is a concept that can overcome current limitations in environmental assessment methodologies. This model demonstrates its utility by assessing the environmental sustainability of two tourism and recreation sites in Ireland, with 25 environmental hazards identified at the rural Lough Derg (Shannon River) site and 29 at the relatively urban Dublin Bay site. The results show that the practical production of holistic and representative data on environmental risk from tourism and recreation areas is possible, with water quality, amenity value, traffic and transport, boating activity and noise found particularly relevant. The strengths and limitations of the proposed model are considered and compared with three existing tourism impact models: the use of sustainability indicators and two tourism-planning frameworks, limits of acceptable change (LAC) and visitor impact management (VIM).     

NONPARAMETRIC KERNEL-BASED SEQUENTIAL INVESTMENT STRATEGIES

The purpose of this paper is to introduce sequential investment strategies that guarantee an optimal rate of growth of the capital, under minimal assumptions on the behavior of the market. The new strategies are analyzed both theoretically and empirically. The theoretical results show that the asymptotic rate of growth matches the optimal one that one could achieve with a full knowledge of the statistical properties of the underlying process generating the market, under the only assumption that the market is stationary and ergodic. The empirical results show that the performance of the proposed investment strategies measured on past nyse and currency exchange data is solid, and sometimes even spectacular.     

On induced economic change in precapitalist societies

This essay explores a number of properties of a general growth model of induced economic change in precapitalist societies which incorporates both the insights of Ester Boserup and Thomas Malthus. Responses to diminishing returns include changes in work intensity and population growth. Some important variants of the model are also examined which focus on the transfer of production to non-producers and on alternative processes by which change is induced. The results are used to generate some parameters influencing the political stability of non-working elites; to criticize some previous, less general, growth models; and to suggest some fruitful lines fot future empirical research on economic development in the long run.     

Brain Drain in Developing Countries

An original data set on international migration by educationalattainment for 1990 and 2000 is used to analyze the determinantsof brain drain from developing countries. The analysis startswith a simple decomposition of the brain drain in two multiplicativecomponents, the degree of openness of sending countries (measuredby the average emigration rate) and the schooling gap (measuredby the education level of emigrants compared with natives).Regression models are used to identify the determinants of thesecomponents and explain cross-country differences in the migrationof skilled workers. Unsurprisingly, the brain drain is strongin small countries that are close to major Organisation forEconomic Co-operation and Development (OECD) regions, that sharecolonial links with OECD countries, and that send most of theirmigrants to countries with quality-selective immigration programs.Interestingly, the brain drain increases with political instabilityand the degree of fractionalization at origin and decreaseswith natives' human capital.     

Energy productivity and greenhouse gas emission intensity in Dutch dairy farms: A Hicks–Moorsteen by-production approach under non-convexity and convexity with equivalence results

The agricultural sector is currently confronted with the challenge to reduce greenhouse gas (GHG) emissions, whilst maintaining or increasing production. Energy-saving technologies are often proposed as a partial solution, but the evidence on their ability to reduce GHG emissions remains mixed. Production economics provides methodological tools to analyse the nexus of agricultural production, energy use and GHG emissions. Convexity is predominantly maintained in agricultural production economics, despite various theoretical and empirical reasons to question it. Employing non-convex and convex frontier frameworks, this contribution evaluates energy productivity change (the ratio of aggregate output change to energy use change) and GHG emission intensity change (the ratio of GHG emission change to polluting input change) using Hicks-Moorsteen productivity formulations. We consider GHG emissions as by-products of the production process by using a multi-equation model. Given our empirical specification, non-convex and convex Hicks-Moorsteen indices can coincide under certain circumstances, which leads to a series of theoretical equivalence results. The empirical application focuses on 1,510 observations of Dutch dairy farms for the period of 2010–2019. The results show a positive association between energy productivity change and GHG emission intensity change, which calls into question the potential of on-farm, energy-efficiency-increasing measures to reduce GHG emission intensity.