Voting with their feet: Migration, partisanship, and party-safe elections in Florida

Political scientists have long noted that Congressional elections are often uncompetitive, often extremely so. Many scholars argue that the cause lies in the partisan redistricting of Congressional districts, or “gerrymandering”. Other scholars emphasize polarization created by a fragmented news media, or the candidate choices made by a more ideological primary electorate. All these explanations identify the cause of party-safe elections in institutions of various kinds. This dissertation, by contrast, presents a structural explanation of uncompetitive elections. My theory is that population composition and patterns of migration are significant causes and predictors of election results in Florida. I test this theory empirically by comparing the predictions from four hypotheses against aggregate data, using the county as the unit of analysis. The first hypothesis is that Florida can be divided into clearly distinguishable, persistent partisan sections. This hypothesis is confirmed. The second hypothesis is that Florida voters have become increasingly partisan over time. This hypothesis is confirmed. The third hypothesis is that the degree of migration into a county predicts how that county will vote. This hypothesis is partially confirmed, for the migration effect appears to have waned over time. The last hypothesis is that the degree of religiosity of a county population is a predictor of how that county will vote. This hypothesis is also supported by the results of statistical analysis. By identifying the structural causes of party-safe elections, this dissertation not only broadens our understanding of elections in Florida, but also sheds light on the current polarization in American politics.

Consequences of financial restatements for auditors and top executives

This dissertation consists of three essays and investigates issues related to the impact of financial restatements on auditor change, shareholder actions, and executive turnover in the post-Sarbanes Oxley Act (SOX) period. For the first essay, we examined auditor change at 569 restatement firms and 5,605 control firms for 2004. We found that restatement announcements significantly increased the likelihood of auditor resignation and dismissal in the post-SOX period. The second essay examines shareholder voting on auditor ratifications in 2006 following restatement announcements by SEC registrants in 2005. The proportion of votes not supporting auditor ratification is low even in the presence of a restatement. However, we find that shareholders are more likely to vote against auditor ratification after a restatement when compared to votes at (a) films without restatements, or (b) restating firms in the preceding period. The third essay examines the consequences of financial restatements on the turnover of chief financial officers (CFO). We find that restatement announcements do significantly increase the likelihood of CFO turnover no matter whether the departure is voluntary or forced in nature. Also, the significant relationship is present even after controlling for the effect of CEO turnover.

The electoral geography of the Slovak Republic: A comparison of the 1994, 1998, and 2002 parliamentary elections

In what can rightly be said to be one of the most dramatic geopolitical shifts in modern times, the collapse of communist regimes in Central Europe and the former Soviet Union brought about dramatic changes in the entire region. As a consequence, wide ranging political, economic, and social transformations have occurred in almost all of these countries since 1989. The Slovak Republic, as a newly democratic country, went through the establishment of the electoral and party systems that are the central mechanisms to the formation of almost all modern democratic governments. The primary research purpose of this dissertation was to describe and explain regional variations in party support during Slovakia’s ten years of democratic transformation. A secondary purpose was to relate these spatial variations to the evolution of political parties in the post-independence period in light of the literature on transitional electoral systems. Research questions were analyzed using both aggregate and survey data. Specifically, the study utilized electoral data from 1994, 1998, and 2002 Slovak parliamentary elections and socio-economic data of the population within Slovak regions which were eventually correlated with the voting results by party in the 79 Slovak districts. The results of this study demonstrate that there is a tendency among voters in certain regions to provide continuous support to the same political parties/movements over time. In addition, the socio-economic characteristics of the Slovak population (gender, age, education, religion, nationality, unemployment, work force distribution, wages, urban-rural variable, and population density) in different regions tend to influence voting preferences in the parliamentary elections. Finally, there is an evident correlation between party preference and the party’s position on integration into European Union, as measured by perceived attitudes regarding the benefits of EU membership.

Placing immigrant incorporation: Identity, trust, and civic engagement in Little Havana

Immigrant incorporation in the United States has been a topic of concern and debate since the founding of the nation. Scholars have studied many aspects of the phenomenon, including economic, political, social, and spatial. The most influential paradigm of immigrant incorporation in the US has been, and continues to be, assimilation, and the most important place in and scale at which incorporation occurs is the neighborhood. This dissertation captures both of these integral aspects of immigrant incorporation through its consideration of three dimensions of assimilation – identity, trust, and civic engagement – among Latin American immigrants and American-born Latinos in Little Havana, a predominantly immigrant neighborhood in Miami, Florida. Data discussed in the dissertation were gathered through surveys and interviews as part of a National Science Foundation-funded study carried out in 2005-2006. The combination of quantitative and qualitative data allows for a nuanced understanding of how immigrant incorporation is occurring locally during the first decade of the twentieth century. Findings reveal that overall Latin American immigrants and their American-born offspring appear to be becoming American with regard to their ethnic and racial identities quickly, evidenced through the salience and active employment of panethnic labels, while at the same time they are actively reshaping the identificational structure. The Latino population, however, is not monolithic and is cleaved by diversity within the group, including country of origin and socioeconomic status. These same factors impede group cohesion in terms of trust and its correlate, community. Nevertheless, the historically dominant ancestry group in Little Havana – Cubans – has been able to reach notable levels of trust and build and conserve a more solid sense of community than non-Cuban residents. With respect to civic engagement, neighborhood residents generally participate at rates lower than the overall US population and ethnic subpopulations. This is not the case for political engagement, however, where self-reported voting registration and turnout in Little Havana surpasses that of most benchmarked populations. The empirical evidence presented in this dissertation on the case of Latinos in Little Havana challenges the ways that identity, trust, and civic engagement are conceptualized and theorized, especially among immigrants to the US.

Color-based surface reflectance separation for scene illumination estimation and rendering

Given the importance of color processing in computer vision and computer graphics, estimating and rendering illumination spectral reflectance of image scenes is important to advance the capability of a large class of applications such as scene reconstruction, rendering, surface segmentation, object recognition, and reflectance estimation. Consequently, this dissertation proposes effective methods for reflection components separation and rendering in single scene images. Based on the dichromatic reflectance model, a novel decomposition technique, named the Mean-Shift Decomposition (MSD) method, is introduced to separate the specular from diffuse reflectance components. This technique provides a direct access to surface shape information through diffuse shading pixel isolation. More importantly, this process does not require any local color segmentation process, which differs from the traditional methods that operate by aggregating color information along each image plane. ^ Exploiting the merits of the MSD method, a scene illumination rendering technique is designed to estimate the relative contributing specular reflectance attributes of a scene image. The image feature subset targeted provides a direct access to the surface illumination information, while a newly introduced efficient rendering method reshapes the dynamic range distribution of the specular reflectance components over each image color channel. This image enhancement technique renders the scene illumination reflection effectively without altering the scene’s surface diffuse attributes contributing to realistic rendering effects. ^ As an ancillary contribution, an effective color constancy algorithm based on the dichromatic reflectance model was also developed. This algorithm selects image highlights in order to extract the prominent surface reflectance that reproduces the exact illumination chromaticity. This evaluation is presented using a novel voting scheme technique based on histogram analysis. ^ In each of the three main contributions, empirical evaluations were performed on synthetic and real-world image scenes taken from three different color image datasets. The experimental results show over 90% accuracy in illumination estimation contributing to near real world illumination rendering effects. ^

Three essays on dual-class stock structure

Dual-class stock structure is characterized by the separation of voting rights and cash flow rights. The departure from a common "one share-one vote" configuration creates ideal conditions for conflicts of interest and agency problems between controlling insiders (the holders of voting rights) and remaining shareholders. The owners of voting rights have the opportunity to extract private benefits and act in their personal interest; as a result, dual-class firms are often perceived to have low transparency and high information asymmetry. This dissertation investigates the quality of information and the information environment of firms with two classes of stock. The first essay examines the quality of information by studying accruals in dual-class firms in comparison to firms with only one class of stock. The results suggest that the quality of accruals is better in dual-class firms than in single-class firms. In addition, the difference in the quality of accruals between firms that abolish their dual-class share structure by unification and singe-class firms disappears in the post-unification period. The second essay investigates the earnings informativeness of dual-class firms by examining the explanatory power of earnings for returns. The results indicate that the earnings informativeness is lower for dual-class firms as compared to single-class firms. Earnings informativeness improves in firms that unify their shares. The third essay compares the level of information asymmetry between dual-class firms and single-class firms. It is documented that the information environment for dual-class firms is worse than for single-class firms. Also, the finding suggests that the difference in information environment between dual-class firms and single-class firms disappears after dual-class stock unification.

Off-line and on-line affective recognition of a computer user through a biosignal processing approach

Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. ^ In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment ("relaxation" vs. "stress") are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. ^ For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). ^ In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the "relaxation" vs. "stress" states.^

Ruling the Void

Over the past few decades, political parties in the Western world have moved to the center-right of the political spectrum. In the process, there is a wider gulf between the policies favored by the party elite and their voting constituents, especially on the left.

The Electoral Geography of the Slovak Republic: A Comparison of the 1994, 1998, and 2002 Parliamentary Elections

In what can rightly be said to be one of the most dramatic geopolitical shifts in modern times, the collapse of communist regimes in Central Europe and the former Soviet Union brought about dramatic changes in the entire region. As a consequence, wide ranging political, economic, and social transformations have occurred in almost all of these countries since 1989. The Slovak Republic, as a newly democratic country, went through the establishment of the electoral and party systems that are the central mechanisms to the formation of almost all modern democratic governments. The primary research purpose of this dissertation was to describe and explain regional variations in party support during Slovakia’s ten years of democratic transformation. A secondary purpose was to relate these spatial variations to the evolution of political parties in the post-independence period in light of the literature on transitional electoral systems. Research questions were analyzed using both aggregate and survey data. Specifically, the study utilized electoral data from 1994, 1998, and 2002 Slovak parliamentary elections and socio-economic data of the population within Slovak regions which were eventually correlated with the voting results by party in the 79 Slovak districts. The results of this study demonstrate that there is a tendency among voters in certain regions to provide continuous support to the same political parties/movements over time. In addition, the socio-economic characteristics of the Slovak population (gender, age, education, religion, nationality, unemployment, work force distribution, wages, urban-rural variable, and population density) in different regions tend to influence voting preferences in the parliamentary elections. Finally, there is an evident correlation between party preference and the party’s position on integration into European Union, as measured by perceived attitudes regarding the benefits of EU membership.

An examination of the possible consolidation of African American political power through selective migration

This study examined whether African Americans could consolidate political power through a migration into a specific state or set of states in sufficient numbers to establish a voting majority within that state. In order to examine the feasibility and efficacy of this strategy, a variety of factors were reviewed, including the historical context leading to the current situation; the political benefits to be derived from the control of a state; and the population and migration patterns of African Americans. The results indicated that this strategy could succeed in providing significant substantive and symbolic political benefits to the African American community, but could also have some negative repercussions.

Revisiting the Cuban-American Vote: A Symposium

Symposium of scholars, pollsters and elected officials to discuss the changes and continuities in Cuban-American voting patterns. Participants include: Dr. Astrid Arraras, Department of Politics & International Relations, FlU Dr. Danielle Pilar Clealand, Department of Politics & International Relations, FlU Dr. Rodolfo de Ia Garza, Department of Political Science, Columbia University Dr. Susan Eckstein, Department of Sociology, Boston University Dr. Eduardo Gamarra, Department of Politics & International Relations, FlU Dr. Lisa Garcia Bedolla, Graduate School of Education, University of California, Berkeley Dr. Guillermo J. Grenier, Department of Global & Sociocultural Studies, FlU Dr. Mark Hugo Lopez, Pew Hispanic Center Dr. Daria Moreno, Department of Politics & International Relations, FlU

Three Essays on Dual-Class Stock Structure

Dual-class stock structure is characterized by the separation of voting rights and cash flow rights. The departure from a common “one share-one vote” configuration creates ideal conditions for conflicts of interest and agency problems between controlling insiders (the holders of voting rights) and remaining shareholders. The owners of voting rights have the opportunity to extract private benefits and act in their personal interest; as a result, dual-class firms are often perceived to have low transparency and high information asymmetry. This dissertation investigates the quality of information and the information environment of firms with two classes of stock. The first essay examines the quality of information by studying accruals in dual-class firms in comparison to firms with only one class of stock. The results suggest that the quality of accruals is better in dual-class firms than in single-class firms. In addition, the difference in the quality of accruals between firms that abolish their dual-class share structure by unification and singe-class firms disappears in the post-unification period. The second essay investigates the earnings informativeness of dual-class firms by examining the explanatory power of earnings for returns. The results indicate that the earnings informativeness is lower for dual-class firms as compared to single-class firms. Earnings informativeness improves in firms that unify their shares. The third essay compares the level of information asymmetry between dual-class firms and single-class firms. It is documented that the information environment for dual-class firms is worse than for single-class firms. Also, the finding suggests that the difference in information environment between dual-class firms and single-class firms disappears after dual-class stock unification.

Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach

Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment (“relaxation” vs. “stress”) are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the “relaxation” vs. “stress” states.