An assessment of the impact of tax incentives relative to socio-economic characteristics on charitable giving in Canada

This research examines the effectiveness of the Canadian tax incentive system for charitable giving while attempting to deal with two persistent methodological problems in past research. The Heckman selection model and the ordered probit model are used to examine the Canadian tax incentive system with 2010 survey data. The results imply that the effect of the tax credit systematically increases with an increase in donation expenditure suggesting that the higher tax credit for larger donations is more effective than the lower tax credit for smaller donations. While the results suggest that the current tax policy is effective, socio-economic characteristics, such as wealth, household income, and university education, appear to have a greater impact on donations.     

Real wage determination in Bangladesh agriculture: An econometric investigation

Thsi paper develops and estimates a real wage model for the agricultural sector in Bangladesh for the period 1973:2–1985:4. The model is developed within the framework of the market theory of labour demand and labour supply. The empirical results are supportive of the market theory of wages.     

CordNet: Toward a distributed behavior model for emergency response coordination

Existing studies of coordination theory in human networks have looked at coordination problems requiring stable working relationships with no environmental uncertainties. With emergency response management demanding distributed coordination in volatile situations, the designs of existing models are useful as a building block, yet flawed for application. We hypothesize that changes to interconnectedness of nodes in the network may have implications on the potential to coordinate. To test our hypotheses, we investigate survey data from state law enforcement, state emergency services, and local law enforcement by performing agency‐based (macro) and cross‐agency (micro) analysis to identify attributes of each network and coordination.     

Learning by bidding

We analyze a dynamic second‐price auction with an informed bidder and an uninformed bidder who, upon seeing a posted price, learns whether his valuation is above that price. In the essentially unique equilibrium, an informed bidder bids in the first period if her valuation is below some cutoff and bids only in the last period otherwise. An uninformed bidder bids in every period to optimally change the price unless the price is above his valuation or he is the high bidder. This model also provides a rationale behind the use of a secret reserve price in private‐value settings.     

House Search Duration in Hot and Cold Residential Markets

This study analyzes the determinants of house search duration of consumption‐driven buyers and individual investors in different housing market environments. We use data from surveys of recent house‐buyers in “hot” and “cold” housing markets in the 2000s housing bubble in California characterized by rising and declining residential house prices, respectively. The average house price and the surveyed geographical area are the same for both periods. Expected house ownership horizon is shown to be an important determinant of the realized search duration in addition to commonly considered housing and buyer characteristics. We find a statistically significant positive effect of it on the time until purchase in both housing price environments for consumption‐driven buyers. We also find that consumption‐driven house purchases were highly pronounced in coastal areas in the hot market and inland areas in the cold market. In contrast, long‐horizon investment activity leads that of consumption activity in those areas. Short‐horizon investors, on the other hand, concentrated their house search activity in inland areas in both housing market environments.     

Voluntary Disclosure in the Annual Reports of New Zealand Companies

New Zealand is currently experiencing a liberal and competitive economic environment which has led to a greater investment interest in corporate securities. Likewise, New Zealand firms are also developing strategies to attract investors, for example, through voluntary disclosure of information. Therefore, the level of information voluntarily disclosed by New Zealand companies is of interest to prospective investors. The purpose of this study is to examine empirically the relationship between five firm-specific characteristics and the general level of accounting information voluntarily disclosed by companies listed on New Zealand Stock Exchange (NZSE). In this study the a priori expectations are based on agency theory. The five firm-specific characteristics examined are: firm size, leverage, assets-in-place, type of auditor, and foreign listing status. The results obtained from cross-sectional regression show that firm size, foreign listing status and leverage are significantly related to the extent of voluntary disclosure. In contrast assets-in-place and type of auditor are not significant explanatory variables. A study of this type would be of particular relevance to accounting policy makers because, inter alia, it helps them in (a) understanding corporate disclosure behaviour, (b) explaining why firms adopt certain disclosure strategies, and (c) developing a coherent and acceptable set of mandatory disclosure requirements.     

The role of access to finance in disaster recovery: Evidence from coastal communities in India

Natural disasters affect economic activities and welfare of small-scale producers in developing countries, but may also offer opportunities to reinvest in productive asset, economic capital, and new technologies for future economic prospects. This paper investigates the impacts of a livelihood recovery project that provided access to finance and rehabilitated communal infrastructures in the coastal communities of Tamil Nadu, India which were severely affected by the 2004 tsunami. We replicate the project's eligibility criteria to build the counterfactual to identify control households based on the validation of secondary data and administrative records. Using data from a carefully designed primary survey, we estimate the impacts of providing access to finance and rehabilitating communal infrastructures on economic and livelihood outcomes. Results indicate positive and significant impacts on income, asset and food security. These impacts are mainly driven by improved access to finance provided and participation in groups. Findings highlight the importance of ensuring access to finance for sustainable economic recovery among small-scale producers, particularly in the aftermath of natural disasters.     

Product attributes,consumer benefits and public approval of genetically modified foods

The use of biotechnology in food production has generated considerable debate involving the benefits and risks associated with its use. Consumer acceptance of genetically modified foods is a critical factor that will affect the future of this technology. Using data from a national survey, this study examines how public acceptance of food biotechnology is related to consumers’ socioeconomic and value attributes as well as the benefits associated with the use of this technology. Empirical results suggest that consumer acceptance of food biotechnology increases considerably when the use of this technology brings tangible benefits for the public. Consumers with different socioeconomic and demographic attributes have diverging views of food biotechnology only when its use brings specific benefits to them. When the use of genetic technology confers no additional benefit, public attitudes towards genetically modified foods are driven primarily by their scientific knowledge, views of scientists and corporations associated with biotechnology as well as public trust and confidence in government.