This dissertation studies distributional effect of (un)conventional monetary policies on Japanese household and corporate finances. It puts a special focus on household saving(s) and household income. The dissertation consists of four independent essays. In the first essay “Low Interest Rate Policy and Savings Culture in Japan: Implications for Economic Policy” the change in the savings culture in Japan during more than 30 years of low, zero and negative interest rate policies is examined. It is shown how the Bank of Japan’s persistently loose monetary policy changed the household and corporate savings culture in Japan. The second essay “Japanese Monetary Policy and Determinants of Household Saving” analyzes determinants of the household saving rate in Japan between 1960 and 2019. It finds that the zero-interest rate policy and unconventional monetary policies of the Bank of Japan are associated with the decline in the Japanese household saving rate. In the third essay “Japanese Unconventional Monetary Policy and Household Saving” the impact of expansionary monetary policies on household saving in Japan between 1993 and 2017 is analyzed. It shows that monetary expansion is associated with a widening gap in the wealth distribution through an adverse effect on non-academic households. The fourth essay “The Effects of Unconventional Monetary Policy on Stock Markets and Household Incomes in Japan” studies the distributional effects of monetary policy on Japanese household incomes. It is shown that the Bank of Japan’s unconventional monetary policy has contributed to a widening gap in the income distribution through the portfolio channel

Many observational studies assessing the effects of treatments or exposures are limited to comparisons between treatment users and nonusers or exposed and unexposed participants at study entry. However, the underlying and etiologically relevant exposure may gradually increase over time before reaching some plateau. This amount of time required for this latent cumulative exposure to reach a maximum hazard will be referred to as the "lag", coming from the concept that the association between exposure and outcome is lagged or delayed. Accounting for the lag is essential when analyzing exposure-response associations adequately. My challenge was to simultaneously estimate the lag-time and the exposure's lagged-association with the outcome at plateau. In this dissertation, I draw an analogy with the pharmacokinetic one-compartment model (OCM). OCM describes the accumulation of a medication in the body based on an exponential cumulative density function whose rate of increase is defined by a half-life parameter. Upon discontinuation, the OCM assumes that a medication will eliminate at the same half-life rate. The decline, for my purposes, can be interpreted as the time to return to a null effect of exposure, which occurs at roughly 4-5 half-lives. My methods model the association of a latent exposure and dichotomous outcome using a half-life of effect, similar to the OCM, in longitudinal analyses of single and repeated exposures. I derive profile likelihood-based algorithms to estimate of the upper limit of association simultaneously with the rate of latent exposure growth towards or away from plateau. Lastly, I extend this approach to allow different half-life parameters for incline and decline. Using simulations, I analyze the performance of my approach by comparing bias and coverage of the estimates for the half-life and effect parameters. With data from the Black Women's Health Study Cohort (a prospective cohort of 59,000 women followed 1995-2015), I show that prolonged cigarette smoking is associated with a maximum hazard of cardiovascular disease (CVD) at 2.5 times the hazard of never smokers. Additionally, I estimate that it takes about 7 years of smoking cessation for an individual's hazard of CVD to decrease by 50%. / 2020-11-13T00:00:00Z

This qualitative study is an exploration of advanced meditators' understandings of how the personal traits developed through meditation have influenced their relationships. The term meditation refers to self-regulation practices that train attention and awareness. A "meditative trait" refers to the lasting effects in sensory, cognitive and self-referential awareness that continue whether or not the practitioner is actively engaged in meditation. These traits may have some influence on meditators' close relationships, but there has been little research of this effect to date. Seven participants were interviewed about their experiences of meditative traits, and how they have seen these traits affect their relationships. The meditative traits that the participants identified were (1) awareness of body sensations and emotions; (2) disidentification from emotions and thoughts; (3) acceptance of situations, oneself, and others; and (4) compassion and loving kindness for oneself and others. The relational effects of these traits were (1) less reactivity in relationships, (2) greater freedom and safety for the participants and the others with whom they are in relationship, (3) a new understanding of the nature of connection between people, which included an awareness of the unity and separation that exists among people, and a deepened experience of intimacy and independence within relationships. Also included are a discussion of the connections between these themes and the existing literature, the strengths and limitations of this study, and the implications for future research and family therapy practice. / Master of Science

Over the past two decades, a surge of interest in the area of forecasting has produced a number of statistical models available for predicting the winners of U.S. presidential elections. While historically the domain of individuals outside the scholarly community - such as political strategists, pollsters, and journalists - presidential election forecasting has become increasingly mainstream, as a number of prominent political scientists entered the forecasting arena. With the goal of making accurate predictions well in advance of the November election, these forecasters examine several important election "fundamentals" previously shown to impact national election outcomes. In general, most models employ some measure of presidential popularity as well as a variety of indicators assessing the economic conditions prior to the election. Advancing beyond the traditional, non-scientific approaches employed by prognosticators, politicos, and pundits, today's scientific models rely on decades of voting behavior research and sophisticated statistical techniques in making accurate point estimates of the incumbent's or his party's percentage of the popular two-party vote. As the latest evolution in presidential forecasting, these models represent the most accurate and reliable method of predicting elections to date. This thesis provides an assessment of forecasting models' underlying epistemological assumptions, theoretical foundations, and methodological approaches. Additionally, this study addresses forecasting's implications for related bodies of literature, particularly its impact on studies of campaign effects. / Master of Arts

That tornadoes cannot occur in mountains due to disruptive influences of the complex terrain is a common misperception. Multiple tornadoes occur each year in mountainous environments, including the Appalachian Mountains. Copious research examines the influences of complex terrain on large severe weather systems such as multicell convective systems and squall lines, but research is lacking investigating this same relationship for smaller-scale severe weather phenomena like supercells and tornadoes. This study examines how complex terrain may have influenced the rotational low-level wind fields of fourteen supercell thunderstorms in the Appalachians. The terrain variables include elevation, land cover, slope, and aspect. Using GIS mapping techniques, the individual storm tracks were overlaid onto elevation, land cover, slope, and aspect layers; points along the storm tracks were measured to correlate storm intensities with the underlying terrain. Hypotheses predict that lower elevations, areas of shallower slopes, agricultural land covers, and terrain features with a southeasterly orientation represent terrain variables that would enhance low-level rotation in the lower levels. Results indicate that elevation has a significant impact on storm rotational intensity, especially in mountainous regions. Lower and flatter elevations augment storm rotational intensity, and higher elevations decrease storm rotational intensity. Additionally, northern and western facing slopes exhibited a negative relationship to storm intensity. A qualitative examination revealed vorticity stretching to be evident in eight of the fourteen storms; with vorticity stretching evident on both southeasterly and northwesterly slopes. Future research on appropriate scale for storm-terrain interactions could reveal even stronger relationships between topography and supercell thunderstorms. / Master of Science

This research study examined perceptions of contemporary effects of colonialism among education professionals in Ghana, and the extent to which education professionals express awareness of colonialism in Ghanaian school systems and contemporary Ghanaian society. An overview of literature in Critical Race Theory, Social Justice Education Theory, Oppression Theory and Post-Colonial Theory provided the theoretical foundation that was used to guide this study. Five factors emerged from this literature review as a framework for analysis of study data. These five factors included discourse, cultural imperialism, linguistic hegemony, racism and internalized racism, and oppression. The study participants included education policy makers, administrators, counselors, teachers, and teacher educators in the educational system of Ghana. A set of thirty-two individual interviews and six focus groups comprised of twenty-seven participants were conducted in which educators described their perspectives of Ghanaian society and Ghanaian educational systems in their own words in response to a predetermined set of twelve questions. A document analysis established a baseline of data regarding the curriculum of Ghanaian schools as presented in curriculum guides, textbooks, and policy statements, handbooks and reports that describe the educational systems in Ghana today. Ghanaian educators expressed the most awareness of colonial legacies related to cultural imperialism, linguistic hegemony, internalized oppression and discourse. The findings suggest that educational professionals in Ghana demonstrate limited awareness of colonial legacies of racism and internalized racism, sexism, classism, ethnoreligious oppression and neocolonialism.

This dissertation proposes a novel definition of anonymity, drawing on past definitions as well as psychological theory, to propose that pseudonymous identities can have a complex and nuanced influence in emphasizing certain personality traits when used in online discussion. This dissertation connects this definition to the Proteus Effect — the observation that individuals adopt behavior stereotypical of the avatars they use in virtual worlds (Yee & Bailenson, 2007) — to test how the presence and character of avatars in an online instant messenger influences aggression during political discussions. A 2x2 factorial experiment is used to evaluate participant aggression following small group deliberations between groups of participants assigned aggressive and unaggressive usernames and avatars, as well as accounts displaying an avatar and username vs only a username. A follow-up online experiment is used to show that similar effects of identity on behavior can be achieved simply by assigning participants to participate in similar tasks as moderators or as themselves.

<p> Three experiments, involving 250 subjects, were performed which support the conclusion that a tone cue presented shortly before a tachistoscopic stimulus facilitates tachistoscopic recognition. With tone-stimulus intervals below two seconds no threshold differences occurred. With intervals between two and eight seconds, the shorter the interval was, the lower thresholds were, and the more practice decrement observed. Experiment II showed that while the tone-stimulus interval affects thresholds the most, the interval between successive exposures of a stimulus affects thresholds. We concluded that as this interval is lengthened, the subject forgets information already gained. Experiment III showed that training in a reaction time task transferred positively to a tachistoscopic task when a two second tone-stimulus interval was used in both tasks. Reasons for the facilitative effect of the tone were discussed.</p> / Thesis / Master of Arts (MA)

<p dir="ltr">Physical traits and the hydrologic setting of lake and wetland environments strongly affect the biogeochemical signature of aquatic ecosystems and their structure and function in the landscape. Natural freshwater ecosystems have a high propensity for carbon capture and storage through aerobic production, sedimentation, and sequestration, yet differing physical characteristics including water depth, lake surface area, and watershed size likely influence the extent to which these processes occur. Anthropogenically modified ecosystems also demonstrate complex function regarding carbon cycles, where the influence of human disturbance heightens nutrients and carbon loads into aquatic systems and leads to unique biochemical regimes. Across Indiana, agricultural practices currently affect around 65 percent of the state’s landscape, while urban development and population growth are expected to expand throughout the state. This trend is modeled throughout the midwestern United States, where the impacts of urban development on aquatic environments is further heightened by expected changes in climate, as storm intensity strengthens, and rainfall increases during certain times of the year. While understudied, there is good reason to believe that Indiana’s lakes and wetlands have incredible variability in carbon processing and carbon quality within and between systems. This variation is influenced by the wide variety of drivers including hydrology, geomorphology, water chemistry, metabolic processes, and redox conditions. The interactive influence of each of these drivers, however, is poorly understood across wide scale gradients. Predicting ecosystem productivity and its relationship with carbon dynamics is therefore an important tool for understanding freshwater ecosystems’ contributions to global fluxes of carbon. The variability within and across midwestern ecosystems creates a challenging, yet critical paradigm to understand the complexities of carbon dynamics in aquatic ecosystems, emphasizing the importance for direct data collection across a stratified gradient of ecosystems. This research shows that 1) human-assigned classifications of system type, including lake, reservoir, and wetland, are useful tools in classifying the metabolic and nutrient regimes of lentic systems, and 2) morphological features including lake depth and watershed area influence the structure of carbon quality throughout the water column. Findings provide valuable information to watershed and lake managers on the importance of different physical drivers in determining water quality across a range of lentic systems.</p>

Thesis advisor: John E. Ebel / Degradation within an earth embankment structure is often unobservable from the surface. In order to evaluate the structural integrity of earth embankment dams and levees and identify subsurface zones of weakness that may result in future failures, various geophysical methods have been proposed as effective subsurface imaging tools. This study presents the results of using the horizontal-to-vertical spectral ratio (HVSR), seismic refraction analysis, and multi-channel analysis of surface waves (MASW) methods to estimate subsurface seismic structures for two earth embankment dams located in Chestnut Hill, MA, and Franklin Falls, NH. The estimated seismic velocity structures from the seismic refraction analysis and MASW performed in this study confirm the HVSR method is able to effectively estimate depth to bedrock at sites atop earth embankments using estimated fundamental frequencies. The MASW was found to resolve a low-velocity zone in the subsurface at the Chestnut Hill reservoir embankment that the seismic refraction method was unable to image, and this low-velocity zone is required to best fit a theoretical HVSR to an observed spectrum. Furthermore, the variation and uncertainty in fundamental frequency estimation were investigated by making repeated HVSR measurements at the Chestnut Hill embankment. / Thesis (BS) — Boston College, 2023. / Submitted to: Boston College. College of Arts and Sciences.. / Discipline: Departmental Honors. / Discipline: Earth and Environmental Sciences.