1,846 research outputs found

    Tax Incentives and Household Portfolios: A Panel Data Analysis

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    This paper investigates the responsiveness of household portfolios to tax incentives by exploiting a substantial tax reform that altered after-tax returns and cost of debt for a large number of households. An extraordinary panel data set that covers two years before and after the reform is used for the analysis. Our empirical findings suggest that households reshuffle their balance sheets in the case of a partial deductibility phase-out. In particular, heavily taxed,interest-bearing assets are used to pay off mortgage debt. Furthermore, we find that taxes have a significant impact on the structure of household portfolios even after controlling for unobserved heterogeneity.household portfolios; taxation; panel data; natural experiment

    Tax Incentives and Household Portfolios: A Panel Data Analysis

    Get PDF
    This paper investigates the responsiveness of household portfolios to tax incentives by exploiting a substantial tax reform that altered after-tax returns and cost of debt for a large number of households. An extraordinary panel data set that covers two years before and after the reform is used for the analysis. Our empirical findings suggest that households reshuffle their balance sheets in the case of a partial deductibility phase-out. In particular, heavily taxed, interest-bearing assets are used to pay off mortgage debt. Furthermore, we find that taxes have a significant impact on the structure of household portfolios even after controlling for unobserved heterogeneity.Household portfolios, taxation, panel data, natural experiment

    The genetic conception of health: is it as radical as claimed?

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    The so-called new genetics is widely predicted to radically transform medicine and public health and deliver considerable benefits in the future. This article argues that, although it is doubtful that many of the promised benefits of genetic research will be delivered, an increasingly pervasive genetic worldview and expectations about future genetic innovations are profoundly shaping conceptions of health and illness and priorities in healthcare. Further, it suggests that debates about the normative and justice implications of new genetic technologies thus far have been constrained by bioethics discourse, which has tended to frame questions narrowly in terms of how best to ensure the protection and promotion of the rights and freedoms of the individual. Sociologists and other social scientists can help broaden debate in this field by exposing the assumptions underlying the genetic conception of health and exploring the implications of associated developments

    Influence of Soil Compaction on Nitrogen Volatilization in a Management Intensive Grazing System: Estimation of Gaseous N Losses Using Mass Balance in Intact Soil Cores

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    Increasing concern about the environmental impacts of greenhouse gases and PM 2.5 particulates has prompted many researchers to examine the processes of gaseous loss of nitrogen (N) from agricultural land. As agricultural production becomes more competitive and producers strive to become more efficient by reducing input costs, they will increasingly employ practices such as the rotational stocking, also called Management Intensive Grazing (MIG). MIG utilizes high animal stocking rates for short periods of time to efficiently harvest pasture crops. Unfortunately, MIG also produces relatively high concentrations of livestock excreta. This has caused intensive grazing practices to become a focal point of research concerning gaseous losses of N

    Using Decentralized Networks and Distributed Ledger Technologies for Foreign Aid Distribution and Reporting

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    The U.S. federal government is responsible for the creation and disbursement of roughly 95billionworthofinternationalspendingpackagesannually.Ofthisamount,nearly95 billion worth of international spending packages annually. Of this amount, nearly 45 billion is allocated for the advancement of economic and humanitarian aid initiatives. However, these programs often face challenges when attempting to distribute funds to individual recipients in regions lacking stable government or reliable financial infrastructure. In addition, existing inefficiencies within the allocation process for these awards may introduce various inequalities through bias or other procedural complexities. As a result, many aid initiatives are not administered in a cost-effective manner and the subsequent lack of transparent reporting makes it difficult for the public to audit these programs and assess outcomes. To address these challenges, a new mobile based (Android/iOS) application has been developed in which foreign aid awards are distributed through the transaction of digital currency and asset-backed stable-coins on the Stellar network. Following user registration and onboarding, the application confirms that users meet the required qualifications through the use of a novel crowdsourcing mechanism comprised of previous recipients. Network validators are incentivized through continued awards to verify new recipient eligibility and further expand the verification network. Once confirmed, the application allows users to transact their awards in USDC, network-native Stellar lumens (XLM) or transfer their tokens to other marketplaces and asset representations with minimal transaction cost. While other available software addresses each of these issues separately, this application combines the end-to-end transfer and housing of aid funds into a singular process for both administrators and recipients. Furthermore, the awarding of these funds is recorded on a public ledger that allows for detailed analysis of initiative outcomes in a verifiable and trust-less manner. Finally, a simulation script was constructed for the purposed of modeling network growth and efficiency in relation to incentivizing future participation in validating new applicants

    Estimation of panel data regression models with two-sided censoring or truncation

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    This paper constructs estimators for panel data regression models with individual specific heterogeneity and two-sided censoring and truncation. Following Powell (1986) the estimation strategy is based on moment conditions constructed from re-censored or re-truncated residuals. While these moment conditions do not identify the parameter of interest, they can be used to motivate objective functions that do. We apply one of the estimators to study the effect of a Danish tax reform on household portfolio choice. The idea behind the estimators can also be used in a cross sectional setting.Regression analysis

    The Importance of Reliable Information Sources for Prospective Medical Travellers

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    Expectations of completing PhDs for job readiness, are increasing. Information Systems (IS) PhDs face the challenge of appreciating the multidisciplinary and multi-paradigmatic diversity of the discipline, demanding a breadth of knowledge beyond that expected in many other disciplines. In addition, PhD students in Australian universities are constrained to a 3+ year enrolment, as compared for example, to the more common 4 and 5 year enrolments in North American universities. These demands require that IS PhD students in Australia be synergistic in their choice of activities during enrolment. With the aim of maximizing the value of the PhD experience, the study reported herein explores synergy between research and teaching. More specifically, this research-in-progress (RIP) paper reports a programme design for training PhD students, from involvement as supervisors of coursework Masters students’ research projects
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