This paper presents a theoretical growth model that accounts for technological interdependence among regions in a Mankiw-Romer-Weil world. The reasoning behind the theoretical work is that technological ideas cannot be fully appropriated by investors and these ideas may diffuse and increase the productivity of other firms. We link the diffusion of ideas to spatial proximity and allow for ideas to flow to nearby regional economies. Through the magic of solving for the reduced form of the theoretical model and the magic of spatial autoregressive processes, the simple dependence on a small number of neighbouring regions leads to a reduced form theoretical model and an associated empirical model where changes in a single region can potentially impact all other regions. This implies that conventional regression interpretations of the parameter estimates would be wrong. The proper way to interpret the model has to rely on matrices of partial derivatives of the dependent variable with respect to changes in the Mankiw-Romer-Weil variables, using scalar summary measures for reporting the estimates of the marginal impacts from the model. The summary impact measure estimates indicate that technological interdependence among European regions works through physical rather than human capital externalities. (author's abstract) / Series: Working Papers in Regional Science

In the last two decades, protein drugs have enjoyed a rapid growth and achieved a tremendous success in treating human diseases. However, the presence of physiological barriers greatly impedes the efficient delivery of such unconventional large molecule drugs, and therefore limits their clinical utility. An elegant way to address this challenge takes advantage of certain endogenous transporter proteins, such as human transferrin (Tf), whose ability to traverse physiological barriers has been extensively exploited. However, methods to investigate Tf-based drug delivery remained insufficient and unsatisfactory until recent development of quantitative mass spectrometry (MS). Hereby, MS-based methods have been developed and validated for quantitation of exogenous Tf in biological fluids. Particularly, different O18-labeling based approaches have been evaluated, modified and developed in this work, in order to achieve the most reliable quantitation. Alternatively, a novel approach based on indium labeling and inductively coupled plasma mass spectrometry (ICP-MS) detection has been developed for sensitive quantitation of Tf in biological fluids. The second aspect of this dissertation work focuses on the application of MS-based methods for characterization of protein drugs at different levels, ranging from protein identification, covalent structure, conformation, and interaction with physiological partners. Particularly, an O18-labeling assisted approach has been developed to identification of protein deamidation products. This new approach can readily distinguish between the two deamidated isomers. Also, an LC-MS based method has been developed for ranking the susceptibility of protein disulfide bonds to reduction, which could be applied to several disulfide bond-related analyses. Finally, a recently designed growth hormone transferrin fusion protein was studied using MS-based methods, and the molecular basis for its successful oral delivery was revealed.

This paper suggests an empirical framework for analysing income distribution dynamics and cross-region convergence in the European Union of 27 member states, 1995- 2003. The framework lies in the research tradition that allows the state income space to be continuous, puts emphasis on both shape and intra-distribution dynamics and uses stochastic kernels for studying transition dynamics and implied long-run behaviour. In this paper stochastic kernels are described by conditional density functions, estimated by a product kernel estimator of conditional density and represented by means of novel visualisation tools. The technique of spatial filtering is used to account for spatial effects, in order to avoid misguided inferences and interpretations caused by the presence of spatial autocorrelation in the income distributions. The results reveal a slow catching-up of the poorest regions and a process of polarisation, with a small group of very rich regions shifting away from the rest of the cross-section. This is well evidenced by both, the unfiltered and the filtered ergodic density view. Differences exist in detail, and these emphasise the importance to properly deal with the spatial autocorrelation problem. (authors' abstract)

This paper presents a theoretical growth model that extends the Mankiw-Romer-Weil [MRW] model by accounting for technological interdependence among regional economies. Interdependence is assumed to work through spatial externalities caused by disembodied knowledge diffusion. The transition from theory to econometrics leads to a reduced-form empirical spatial Durbin model specification that explains the variation in regional levels of per worker output at steady state. A system of 198 regions across 22 European countries over the period from 1995 to 2004 is used to empirically test the model. Testing is performed by assessing the importance of cross-region technological interdependence, and measuring direct and indirect (spillover) effects of the MRW determinants on regional output. (author's abstract)

This paper presents a theoretical growth model that extends the Mankiw-Romer-Weil [MRW] model by accounting for technological interdependence among regional economies. Interdependence is assumed to work through spatial externalities caused by disembodied knowledge diffusion. The transition from theory to econometrics leads to a reduced-form empirical spatial Durbin model specification that explains the variation in regional levels of per worker output at steady state. A system of 198 regions across 22 European countries over the period from 1995 to 2004 is used to empirically test the model. Testing is performed by assessing the importance of cross-region technological interdependence, and measuring direct and indirect (spillover) effects of the MRW determinants on regional output. (author's abstract)

L'identité amérindienne se dévoile à travers l'interprétation de symboles, lesquels se manifestent dans leur culture matérielle préhistorique. Les pipes effigies exemplifient la nature sacrée et cérémonielle des Iroquois et révèlent la complexité d'un système religieux de chamans, d'esprits gardiens etc. Jusqu'à maintenant, les ethnologues ont négligé de considérer les mécanismes de la dynamique culturelle des Iroquois. Plutôt, ils ont attribué les tendances stylistiques à l'impact de l'arrivée des Européens. Cette recherche abordera cette problématique et mettra en lumière certaines pratiques et croyances culturelles reliées aux pipes effigies Iroquoiens. / Native identity is unveiled through the interpretation of symbols manifested in prehistoric material culture. Effigy smoking pipes exemplify the sacred and ceremonial nature of Iroquois groups by revealing the complexity of their religious system of shamans, guardian spirits, vision quests, etc. Until now, ethnologists have neglected to consider the dynamics of cultural continuity and associated later effigy styles with the inevitable impact European contact exerted in the Northeast. This research will address this problem and elucidate a few of the cultural practices and interpretations associated with Iroquoian effigy pipes. / Québec Université Laval, Bibliothèque 2013

It is increasingly acknowledged that the proper objective of government efforts towards economic development should be aimed at improvements beyond simple measures of growth, poverty and inequality towards richer measures of human well-being. Herein, the economic and non-economic quality of life, as well as the quantity of life, becomes important indicators. Economists and other social planners therefore need to develop more meaningful indicators of the quality of life. Objective and subjective indicators of the quality of life can be distinguished. For various reasons, this thesis will focus on the search for more meaningful objective indicators of the quality of life. One of the most wellknown objective indicators of quality of life is the Human Development Index (HDI). There is, however, a growing dissatisfaction with the HDI. In this thesis, two recent methodological advances in the measurement of quality of life are applied and combined and, in particular, in the measurement of the non-economic quality of life, to the sub-national quality of life in South Africa. As such, this thesis’ contribution is twofold. First, it investigates the extent to which the quality of life differs within a developing country, as opposed to most studies that focus on either inter-country differences in quality of life, or studies that focus only on spatial inequalities within countries using a restricted set of measures such as per capita income or poverty rates and headcounts. Secondly, this thesis applies a recent methodology proposed by McGillivray (2005) to isolate the non-economic (non-monetary) quality of life in various composite indices and to focus on the non-economic quality of life across 351 South African magisterial districts Indices for the non-economic quality of life are compiled for geographical quality, for demographic quality, and based on the human development index. Furthermore, given that composite indices used in the construction of measures of quality of life consist of weightings of multiple proxies, this thesis implements the method of Lubotsky and Wittenberg (2006) which proposed a new estimator for the case where multiple proxies are to be used for a single, unobserved variable such as quality of life. This thesis establishes that when the non-economic quality of life of the demographic index is considered, the top ten regions in 1001 were as follows: Pretoria, Johannesburg, Soweto, Port Elizabeth, Durban, Inanda, Pietermaritzburg, Wynberg, Mitchellsplain and Vanderbijlpark. It is important to note that, when interpreting these results, one should take caution since variables such as the number of people, number of households etc. is included in this index and as a region grows in population size the more negative consequences such as a higher crime rate can be associated with the particular region. The top ten regions in which to reside in 1004 as determined by the geography quality of life index were: Calvinia, Gordonia, Namaqualand, Kenhardt, Carnarvon, Ubombo, Williston, Hlabisa, Ceres and Ingwavuma. This geography index measures a region's natural beauty which, according to Wey (2000), contributes positively to one's perceived quality of life. Considering changes in non-economic quality of life indices between 1996 and 2004, the conclusion can he drawn that the South African government has been successful to a certain degree in addressing non-economic quality of life. Social policies such as health care, education, housing, water and sanitation appear to have had a positive effect on people's perceived non-economic quality of life in areas that were relatively deprived in 1996. / Thesis (Ph.D. (Economics))--North-West University, Potchefstroom Campus, 2007

This paper presents a theoretical neoclassical growth model with two kinds of capital, and technological interdependence among regions. Technological interdependence is assumed to operate through spatial externalities caused by disembodied knowledge diffusion between technologically similar regions. The transition from theory to econometrics yields a reduced-form empirical model that in the spatial econometrics literature is known as spatial Durbin model. Technological dependence between regions is formulated by a connectivity matrix that measures closeness of regions in a technological space spanned by 120 distinct technological fields. We use a system of 158 regions across 14 European countries over the period from 1995 to 2004 to empirically test the model. The paper illustrates the importance of an impact-based model interpretation, in terms of the LeSage and Pace (2009) approach, to correctly quantify the magnitude of spillover effects that avoid incorrect inferences about the presence or absence of significant capital externalities among technologically similar regions. (author's abstract)

This article studies the evolution of housing rents in St. Petersburg between 1880 and 1917 covering an eventful period of Russian and world history. We collect and digitize over 5,000 rental advertisements from historic newspapers, which we use together with geo-coded addresses and detailed structural characteristics to construct a quality-adjusted rent price index in continuous time. We provide the first pre-war and pre-Soviet index based on market data for any Russian housing market. In 1915, one of the world's earliest rent control and tenant protection policies was introduced as a response to soaring prices following the outbreak of World War I. We analyze the impact of this policy: while before the regulation rents were increasing at a similar rapid pace as other consumer prices, the policy reversed this trend. We find evidence for official compliance with the policy, document a rise in tenure duration and strongly increased rent affordability among workers after the introduction of the policy. We conclude that the immediate prelude to the October Revolution was indeed characterized by economic turmoil, but rent affordability and rising rents were no longer the prevailing problems. / Series: Department of Economics Working Paper Series

Thesis (Ph.D. (Economics))--North-West University, Potchefstroom Campus, 2007.