A Contribution to The Study of Global Competition for Talent: the determinants of student mobility and its consequences for the internationalization of the labor market. Bruges European Economic Policy (BEEP) Briefing 27/2013

In a globalized economy the skills of the workforce are a key determinant of the competitiveness of a country. One of the goals of Higher Education is precisely to develop the students’ skills in order to allow them to match the increasing demand for highly qualified workers while it is simultaneously the best period of life to acquire multicultural skills. For this reason, the European Union has fostered student mobility through several programs: the Erasmus program and the Bologna process are the best known among them. Although student mobility is a growing phenomenon, publications and research on the subject remain relatively scarce. This paper aims to contribute to that literature through an empirical analysis which exploits a questionnaire submitted to university alumni and focuses on two research questions: what drives studies abroad and what drives expatriation of graduates. Our empirical analysis first shows that exposure to international experiences before entering tertiary education and family background are the main factors influencing student mobility. A second conclusion is that studying abroad increases the international mobility on the labor market. Both confirm previous studies. Moreover, by making a distinction between participating in the Erasmus program and in other exchange programs or internships abroad, we found that the Erasmus program and the other programs or internships have an equivalent influence on the international mobility on the labor market: they increase by 9 to 12.5 percentage points a student’s chance to be mobile on the international labor market. This result shows the legitimacy of the Erasmus program, but it also reveals the important impact of other forms of experience abroad. It provides support for policy makers to encourage mobility programs, in order to foster integration of the European labor market.

Do agricultural subsidies crowd out or stimulate rural credit institutions? The Case of CAP Payments. Factor Markets Working Paper No. 4, September 2011

In this paper we estimate the impact of subsidies from the EU’s common agricultural policy on farm bank loans. According to the theoretical results, if subsidies are paid at the beginning of the growing season they may reduce bank loans, whereas if they are paid at the end of the season they increase bank loans, but these results are conditional on whether farms are credit constrained and on the relative cost of internal and external financing. In the empirical analysis, we use farm-level panel data from the Farm Accountancy Data Network to test the theoretical predictions for the period 1995–2007. We employ fixed-effects and generalised method of moment models to estimate the impact of subsidies on farm loans. The results suggest that subsidies influence farm loans and the effects tend to be non-linear and indirect. The results also indicate that both coupled and decoupled subsidies stimulate long-term loans, but the long-term loans of large farms increase more than those of small farms, owing to decoupled subsidies. Furthermore, the results imply that short-term loans are affected only by decoupled subsidies, and they are altered by decoupled subsidies more for small farms than for large farms; however, when controlling for endogeneity, only the decoupled payments affect loans and the relationship is non-linear.

Defining an Institutional Framework for the Labour Market. Factor Markets Working Paper No. 24, February 2012

This paper describes a conceptual framework for the empirical analysis of farmers’ labour allocation decisions. The paper presents a brief overview of previous farm household labour allocation studies. Following this, the agricultural household model, developed by Singh, Squire and Strauss (1986), which has been frequently applied to the study of labour allocation, is described in more depth. The agricultural household model, the theoretical model to be used in this analysis, is based on the premise that farmers behave to maximise utility, which is a function of consumption and leisure. It follows that consumption is bound by a budget constraint and leisure by a time constraint. The theoretical model can then be used to explain how farmers decide to allocate their time between leisure, farm work and off-farm work within the constraints of a finite time endowment and a budget constraint. Work, both farm and off-farm, provides a return to labour which in turn relaxes the budget constraint allowing the farm household to consume more. The theoretical model can also be used to explore the impact on government policies on labour allocation. It follows that subsidies that decrease commodity prices, such as reductions in intervention prices, mean that farmers have to work more (either on or off the farm) to maintain income and consumption levels. On the other hand, income support subsidies that are not linked to output or labour, such as decoupled subsidies, are a source of non-labour income and as such allow farmers to work less while maintaining consumption levels, known as the wealth effect.

Drivers of agricultural capital productivity in selected EU member states. Factor Markets Working Paper No. 30, September 2012

The aim of this Working Paper is to provide an empirical analysis of the marginal return on working capital and fixed capital in agriculture, based on data gathered by the Farm Accountancy Data Network from seven EU member states. Particular emphasis is placed on the detection of credit market imperfections. The key idea is to provide farm group-specific estimates of the shadow price of capital, and to use these to analyse the drivers of on-farm capital use in European agriculture. Based on Cobb Douglas estimates of farm-type specific production functions, we find that working capital is typically used in more than economically optimal quantities and often displays negative marginal returns across countries and farm types. This is less often the case with regard to fixed capital, but it is only in a small set of sectors where access to fixed capital appears severely constrained. These sectors include field crop and mixed farms in Denmark, dairy farms in East Germany, as well as mixed farms in Italy and the UK. The relationship between farm financial indicators and the estimated shadow prices of capital varies considerably across countries and sectors. Among the farms with a high shadow price for fixed capital in Denmark, high debt levels and little owned land tended to induce more intensive capital use, which may reflect the liberal Danish banking system. In East Germany, Italy and the UK, high debt levels made farmers more tightly capital constrained. Hence, in the latter group of countries, more traditional mechanisms of capital allocation based on debt capacity seemed to be at work. As a general conclusion, EU agriculture appears to be characterised by overcapitalisation rather than by credit constraints.

Effects of Economic Factors on Adoption of Robotics and Consequences of Automation for Productivity Growth of Dairy Farms. Factor Markets Working Paper No. 32, December 2012

In the long term, productivity and especially productivity growth are necessary conditions for the survival of a farm. This paper focuses on the technology choice of a dairy farm, i.e. the choice between a conventional and an automatic milking system. Its aim is to reveal the extent to which economic rationality explains investing in new technology. The adoption of robotics is further linked to farm productivity to show how capital-intensive technology has affected the overall productivity of milk production. The empirical analysis applies a probit model and an extended Cobb-Douglas-type production function to a Finnish farm-level dataset for the years 2000–10. The results show that very few economic factors on a dairy farm or in its economic environment can be identified to affect the switch to automatic milking. Existing machinery capital and investment allowances are among the significant factors. The results also indicate that the probability of investing in robotics responds elastically to a change in investment aids: an increase of 1% in aid would generate an increase of 2% in the probability of investing. Despite the presence of non-economic incentives, the switch to robotic milking is proven to promote productivity development on dairy farms. No productivity growth is observed on farms that keep conventional milking systems, whereas farms with robotic milking have a growth rate of 8.1% per year. The mean rate for farms that switch to robotic milking is 7.0% per year. The results show great progress in productivity growth, with the average of the sector at around 2% per year during the past two decades. In conclusion, investments in new technology as well as investment aids to boost investments are needed in low-productivity areas where investments in new technology still have great potential to increase productivity, and thus profitability and competitiveness, in the long run.

A Microsimulation of the Impact of Tax Reforms on Child Poverty: the Case of Italy. Bruges European Economic Research (BEER) Papers 29/February 2014

Microsimulation models have been used in order to find efficient counteractive instruments to poverty. The objective of this paper is to analyse the impact of fiscal policy on poverty, insisting on child poverty rates. Empirical analysis suggests that in fighting poverty, a mix of policies need to be in place, fiscal reforms increasing tax allowances such as child benefit granted to parents with dependent children, are not sufficient to reduce child poverty.

Restoring Order in Global Health Governance: Do Metagovernance Norms Affect Interorganizational Convergence? CES Open Forum Series #23, 2014-2015

This paper theorizes about the convergence of international organizations in global health governance, a field of international cooperation that is commonly portrayed as particularly hit by institutional fragmentation. Unlike existing theories on interorganizationalism that have mainly looked to intra- and extraorganizational factors in order to explain why international organizations cooperate with each other in the first place, the paper is interested in the link between causes and systemic effects of interorganizational convergence. The paper begins by defining interorganizational convergence. It then proceeds to discuss why conventional theories on interorganizational- ism fail to explain the aggregate effects of convergence between IOs in global (health) governance which tend to worsen rather than cushion fragmentation — so-called "hypercollective action" (Severino & Ray 2010). In order to remedy this explanatory blind-spot the paper formulates an alternative sociological institutionalist theory on interorganizational convergence that makes two core theoretical propositions: first that emerging norms of metagovernance are a powerful driver behind interorganizational convergence in global health governance, and secondly that IOs are engaged in a fierce meaning-struggle over these norms which results in hypercollective action. In its empirical part, the paper’s core theoretical propositions are corroborated by analyzing discourses and practices of interorganizational convergence in global health. The empirical analysis allows drawing two far-reaching conclusions. On the one hand, interorganizational harmonization has emerged as a largely undisputed norm in global health which has been translated into ever more institutionalized forms of interorganizational cooperation. On the other, discourses and practices of interorganizational harmonization exhibit conflicts over the ordering principles according to which the policies and actions of international organizations with overlapping mandates and missions should be harmonized. In combination, these two empirical findings explain why interorganizational convergence has so far failed to strengthen the global health architecture.

Un modelo para comprender la dinámica de los territorios rurales. El caso de la Argentina

Los territorios rurales de América Latina, y de la Argentina en particular, han sufrido cambios profundos en las últimas décadas producto de transformaciones en materia productiva, demográfica y social. Los cambios son complejos y han dado lugar a una multiplicidad de miradas y de enfoques sobre la nueva realidad. Frente a esta creciente complejidad, se plantea la construcción de un modelo interpretativo de la realidad rural de la Argentina que bien puede contribuir también para abordar las realidades de otros mundos rurales latinoamericanos. El modelo conceptual que se ofrece se construyó a partir del análisis empírico de numerosos casos de territorios rurales de la Argentina. Dicho modelo permite comprender los complejos procesos de organización y la dinámica rural, además de constituirse en una herramienta de prognosis para la definición de políticas públicas acordes que alienten nuevas dinámicas de desarrollo rural en la Argentina

Premature deindustrialization in Latin America

Defining deindustrialization as a situation of falling share of manufacturing employment and value added in total employment and GDP, respectively, and a rising specialization in primary goods, this paper provides an empirical analysis of the recent (and in some cases historical) path of four Latin American countries (Argentina, Brazil, Chile and Mexico), contributing to the debate on the matter of premature deindustrialization. We argue that Argentina, Brazil and Chile face premature deindustrialization, increasing their specialization in commodities, resource-based manufactures and low productivity services, while Mexico urges a deeper analyze of its structure.

Un modelo para comprender la dinámica de los territorios rurales. El caso de la Argentina

Los territorios rurales de América Latina, y de la Argentina en particular, han sufrido cambios profundos en las últimas décadas producto de transformaciones en materia productiva, demográfica y social. Los cambios son complejos y han dado lugar a una multiplicidad de miradas y de enfoques sobre la nueva realidad. Frente a esta creciente complejidad, se plantea la construcción de un modelo interpretativo de la realidad rural de la Argentina que bien puede contribuir también para abordar las realidades de otros mundos rurales latinoamericanos. El modelo conceptual que se ofrece se construyó a partir del análisis empírico de numerosos casos de territorios rurales de la Argentina. Dicho modelo permite comprender los complejos procesos de organización y la dinámica rural, además de constituirse en una herramienta de prognosis para la definición de políticas públicas acordes que alienten nuevas dinámicas de desarrollo rural en la Argentina

Is the risk of product market predation a cost of disclosure?

Thesis (Ph.D.)--University of Washington, 2016-06

Measuring market power in electricity generation: A long-term perspective using a programming model

This paper focuses on measuring the extent to which market power has been exercised in a recently deregulated electricity generation sector. Our study emphasises the need to consider the concept of market power in a long-run dynamic context. A market power index is constructed focusing on differences between actual market returns and long-run competitive returns, estimated using a programming model devised by the authors. The market power implications of hedge contracts are briefly considered. The state of Queensland Australia is used as a context for the analysis. The results suggest that generators have exercised significant market power since deregulation.

Do external funds yield lower returns? Recent evidence from East Asian economies

One of the central explanations of the recent Asian Crisis has been the problem of moral hazard as the source of over-investment and excessive external borrowing. There is however rather limited firm-level empirical evidence to characterise inefficient use of internal and external finances. Using a large firm-level panel data-set from four badly affected Asian countries, this paper compares the rates of return to various internal and external funds among firms with low and high debt financing (relative to equity) among financially constrained and other firms. Selectivity-corrected estimates obtained from random effects panel data model do suggest evidence of significantly lower rates of return to long-term debt, even among firms relying more on debt relative to equity in our sample. There is also evidence that average effective interest rates often significantly exceeded the average returns to long-term debt in the sample countries in the pre-crisis period. © 2006 Elsevier Inc. All rights reserved.

The causal relationship between information and communication technology and foreign direct investment

This paper investigates the simultaneous causal relationship between investments in information and communication technology (ICT) and flows of foreign direct investment (FDI), with reference to its implications on economic growth. For the empirical analysis we use data from 23 major countries with heterogeneous economic development for the period 1976-99. Our causality test results suggest that there is a causal relationship from ICT to FDI in developed countries, which means that a higher level of ICT investment leads to an increase inflow of FDI. ICT may contribute to economic growth indirectly by attracting more FDI. Contrarily, we could not find significant causality from ICT to FDI in developing countries. Instead, we have partial evidence of opposite causality relationship: the inflow of FDI causes further increases in ICT investment and production capacity. © United Nations University 2006.

Approximate Bayesian techniques for inference in stochastic dynamical systems

This thesis is concerned with approximate inference in dynamical systems, from a variational Bayesian perspective. When modelling real world dynamical systems, stochastic differential equations appear as a natural choice, mainly because of their ability to model the noise of the system by adding a variant of some stochastic process to the deterministic dynamics. Hence, inference in such processes has drawn much attention. Here two new extended frameworks are derived and presented that are based on basis function expansions and local polynomial approximations of a recently proposed variational Bayesian algorithm. It is shown that the new extensions converge to the original variational algorithm and can be used for state estimation (smoothing). However, the main focus is on estimating the (hyper-) parameters of these systems (i.e. drift parameters and diffusion coefficients). The new methods are numerically validated on a range of different systems which vary in dimensionality and non-linearity. These are the Ornstein-Uhlenbeck process, for which the exact likelihood can be computed analytically, the univariate and highly non-linear, stochastic double well and the multivariate chaotic stochastic Lorenz '63 (3-dimensional model). The algorithms are also applied to the 40 dimensional stochastic Lorenz '96 system. In this investigation these new approaches are compared with a variety of other well known methods such as the ensemble Kalman filter / smoother, a hybrid Monte Carlo sampler, the dual unscented Kalman filter (for jointly estimating the systems states and model parameters) and full weak-constraint 4D-Var. Empirical analysis of their asymptotic behaviour as a function of observation density or length of time window increases is provided.