This paper examines three questions orderly with the help of the European Social Survey (ESS) pooled cross section data. Firstly, whether there is a gap of probability of being self-employed existed between natives and immigrants in Sweden. Secondly, whether there is heterogeneity existed within different ethnic group of immigrants and thirdly, if that heterogeneity existed across genders. The results show that there is no significant gap of probability of being self-employed between natives and immigrants in Sweden, and it can be due to the heterogeneity within the immigrant group itself. The results of logit model indicate that the probability of being self-employed for immigrants from Asian countries (the Middle East countries excluded) are significantly different from Swedish natives, and that for immigrants from the Middle East countries and Asian countries (the Middle East countries excluded) are both significantly different from immigrants from the Nordic countries (Sweden excluded). Furthermore, when looking by the perspective of genders, the results reveal that the heterogeneity existed when examining the groups for both genders can only be found in male immigrant group, while female immigrant group do not appear to be heterogeneous.

This dissertation consists of three empirical essays of which contributions consist, first, in developing spatial weight matrices based on more than just pure geographical proximity for the modeling of interregional externalities. Second, my essays propose different approaches to discover spatial heterogeneity in the data generating processes, including the interregional externalities, under investigation. This dissertation provides Economic Geographers and Regional Scientists interested in the modeling and measurement of spatial externalities a set of practical examples based on new datasets and state-of-the-art spatial econometric techniques to consider for their own work. I hope my dissertation will provide them with some guidance on how various aspects of spatial externalities can be incorporated in traditional spatial weight matrices and of how much the impact of externalities can be spatially heterogeneous. The results of the dissertation should help spatial and regional policy makers to understand better various aspects of interregional dependence in regional economic systems and to devise locally effective and place-tailored spatial and regional policies. The first essay investigates the negative spatial externalities of irrigation on corn production. The spatial externalities of irrigation water are well known but have never been examined in a spatial econometric framework so far. We investigate their role in a theoretical model of profit-maximizing farming and verify our predictions empirically in a crop production function measured across US Corn Belt counties. The interregional groundwater and surface water externalities are modeled based on actual aquifer and river stream network characteristics. The second essay examines the positive spatial externalities of academic and private R&D spending in the frame of a regional knowledge production function measured across US counties. It distinguishes the role of local knowledge spillovers that are determined by geographical proximity from distant spillovers that we choose to capture through a matrix of patent creation-citation flows. The advantage of the latter matrix is its capacity to capture the technological proximity between counties as well as the direction of knowledge spillovers. These two elements have been missed in the literature so far. The last essay highlights and measures the presence of spatial heterogeneity in the marginal effect of the innovation inputs, more especially of the interregional knowledge spillovers. The literature of knowledge production function has adopted geographically aggregated units and controlled for region-specific conditions to highlight the presence of spatial heterogeneity in regional knowledge creation. However, most empirical studies have relied on a global modeling approach that measures spatially homogenous marginal effects of knowledge inputs. This essay explains the source of the heterogeneity in innovation and then measures the spatial heterogeneity in the marginal effects of knowledge spillovers as well as of other knowledge input factors across US counties. For this purpose, the nonparametric local modeling approaches of Geographically Weighted Regression (GWR) and Mixed GWR are used.

The first two chapters study the effect of foreign lobbies on trade policy of a country which is a member of a Free Trade Agreement (FTA). They rely on a monopolistically competitive political economy model in which the government determines external tariffs endogenously. In the first paper the effect of foreign lobbying under the FTA is examined empirically using Canadian industry-level trade data that allow differentiating of lobby groups by the country of origin. The analysis suggests that the presence of foreign lobbying has a significant effect on the domestic trade policy: the presence of an organized lobbying group in an FTA partner country tends to raise trade barriers while an organized lobbying group of exporters from outside of the FTA is associated with less protection. The second paper analyses political viability of FTAs and their effect on the world trading system in the presence of lobbying by organized foreign interest groups. I show that the FTA in the presence of an organized lobby group in a prospective partner country may cause an increase in the level of protection against imports from third countries and impede trade with non-member countries. I also find that foreign lobby may encourage the local government to enter a welfare-reducing trade-diverting FTA. Finally, I show that the FTA increases the lobbying power of the organized lobby groups of the member countries, which can potentially obstruct the viability of welfare-improving multilateral trade liberalization. The last paper shows that the reason for a higher capital-labor ratio observed for exporting firms is a higher capital intensity of their production technology. Exporters are more productive, more likely to survive and, hence, more likely to repay loans. A higher repayment probability causes creditors to charge lower interest rate and reduces the marginal cost of the firm when a more capital-intensive technology is used. Here, a reduction in international trade costs stimulates exporting firms to use more efficient capital-intensive technologies, while non-exporters switch to less capital-intensive ones. This within-industry change in the composition of technologies reinforces the productivity advantage of exporters and contributes further to industry-wide productivity improvement. The results of model simulations highlight that to 10% of welfare and productivity gains of trade liberalization come from the adoption of new technologies by existing firms in the industry, thus amplifying the effect of resource reallocation from firms' entry and exit.

<p>I develop and justify a measure of polarization based on pairwise differences between and within groups, which improves on previous approaches in its ability to account for multiple dimensions and an arbitrary number of partitions. I apply this measure to a roll-call based ideological mapping of U.S. legislators to show that while the contemporary Congress is polarized relative to mid-century levels, the current state is not historically unprecedented.</p><p>I then estimate the ideology of public opinion using survey respondent thermometer evaluations of political elites and population subgroups. I find that party affiliation is polarizing in this space, but that alternate partitions of the electorate, along racial, educational, and other socio-demographic lines, are de-polarized.</p><p>Finally, I estimate a two-dimensional latent space based on social identity trait co-occurrence. I show that positions in this space are predictive of survey respondent ideology, partisanship, and voting behavior. Further, I show that when conceived in this way, we do observe a polarization of the social space over the last half-century of American politics.</p> / Dissertation

The first two chapters study the effect of foreign lobbies on trade policy of a country which is a member of a Free Trade Agreement (FTA). They rely on a monopolistically competitive political economy model in which the government determines external tariffs endogenously. In the first paper the effect of foreign lobbying under the FTA is examined empirically using Canadian industry-level trade data that allow differentiating of lobby groups by the country of origin. The analysis suggests that the presence of foreign lobbying has a significant effect on the domestic trade policy: the presence of an organized lobbying group in an FTA partner country tends to raise trade barriers while an organized lobbying group of exporters from outside of the FTA is associated with less protection. The second paper analyses political viability of FTAs and their effect on the world trading system in the presence of lobbying by organized foreign interest groups. I show that the FTA in the presence of an organized lobby group in a prospective partner country may cause an increase in the level of protection against imports from third countries and impede trade with non-member countries. I also find that foreign lobby may encourage the local government to enter a welfare-reducing trade-diverting FTA. Finally, I show that the FTA increases the lobbying power of the organized lobby groups of the member countries, which can potentially obstruct the viability of welfare-improving multilateral trade liberalization. The last paper shows that the reason for a higher capital-labor ratio observed for exporting firms is a higher capital intensity of their production technology. Exporters are more productive, more likely to survive and, hence, more likely to repay loans. A higher repayment probability causes creditors to charge lower interest rate and reduces the marginal cost of the firm when a more capital-intensive technology is used. Here, a reduction in international trade costs stimulates exporting firms to use more efficient capital-intensive technologies, while non-exporters switch to less capital-intensive ones. This within-industry change in the composition of technologies reinforces the productivity advantage of exporters and contributes further to industry-wide productivity improvement. The results of model simulations highlight that to 10% of welfare and productivity gains of trade liberalization come from the adoption of new technologies by existing firms in the industry, thus amplifying the effect of resource reallocation from firms' entry and exit.

Thesis (PhD)--University of South Australia, 2002.

Thesis (M.S.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains v, 50 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 35-38).

Thesis (Ph.D.) - University of St Andrews, May 2008.

Thesis (Ph. D.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 139-149). Also available on the World Wide Web.

Tumor initiation and progression is dependent on the acquisition and accumulation of multiple driver mutations that acti­vate and fuel oncogenic pathways and deactivate tumor suppressor networks. This complex continuum of non-stochastic genetic changes in accompaniment with error-prone mitoses largely explains why tumors are a mosaic of different cells. Contrary to the long-held notion that tumors are dominated by genetically-identical cells, tumors often contain many different subsets of cells that are remarkably diverse and distinct. The extent of this intratumor heterogeneity has bewildered cancer biologists’ and clinicians alike, as this partly illuminates why most cancer treatments fail. Unsurprisingly, there is no “wonder” drug yet available which can target all the different sub-populations including rare clones, and conquer the war on cancer. Breast tumors harbor ginormous extent of intratumoral heterogeneity, both within primary and metastatic lesions. This revelation essentially calls into question mega clinical endeavors such as the Human Genome Project that have sequenced a single biopsy from a large tumor mass thus precluding realization of the fact that a single tumor mass comprises of cells that present a variety of flavors in genotypic compositions. It is also becoming recognized that intratumor clonal heterogeneity underlies therapeutic resistance. Thus to comprehend the clinical behavior and therapeutic management of tumors, it is imperative to recognize and understand how intratumor heterogeneity arises. To this end, my research proposes to study two main features/cellular traits of tumors that can be quantitatively evaluated as “surrogates” to represent tumor heterogeneity at various stages of the disease: (a) centrosome amplification and clustering, and (b) mitotic frequency. This study aims at interrogating how a collaborative interplay of these “vehicles” support the tumor’s evolutionary agenda, and how we can glean prognostic and predictive information from an accurate determination of these cellular traits.