DNA typing in populations of mule deer for forensic use in the Province of Alberta

The present study involves the development of forensic DNA typing tests and databases for mule deer in the Province of Alberta. Two multiplex PCR reactions interrogating 10 loci were used to analyze samples from three populations of mule deer. Additionally, an amelogenin based sex-typing marker was used to determine the gender of samples. Results show that the tests and databases are appropriate for use in forensic applications. Additionally, the results indicate that there is little population structure in mule deer in Alberta and that no changes to management of this game species are suggested.     

Does intellectual property lead to economic growth? Insights from a novel IP dataset

While policymakers often make bold claims as to the positive impact of intellectual property (IP) rights on both developed and developing country economies, the empirical literature is more ambiguous. IP rights have both incentive and inhibitory effects that are difficult to isolate in the abstract and are dependent on economic context. To unravel these contradictory effects, this article introduces an index that evaluates the strength of IP protection in 124 developing countries for the years 1995 to 2011. We illustrate the value of this index to economics study and show evidence that is consistent with IP leading to increased growth. Our results are further consistent with two causal pathways highlighted in the literature: that IP leads to greater levels of technology transfer and increased domestic inventive activity. Yet other aspects of our study fit uneasily with this simple story. For example, we find evidence suggesting that increased levels of growth lead to greater levels of IP protection, contradictory evidence in the literature linking IP with growth, a lack of evidence that increased levels of IP protection lead to actual use of the IP system, and problems with what IP indexes measure. Because of this, we suggest another – and so far undertheorized – explanation of the links between IP and growth: that IP may have few direct effects on growth and that any causality is a result of belief rather than actual deployment of IP.     

Does Perceived Injury Explain the Effects of Gender on Attributions of Blame for Intimate Partner Violence? A Factorial Vignette Analysis

Perpetrator and victim gender influence how blame is assigned in intimate partner violence (IPV) scenarios. Although men’s differential capacity to inflict and sustain harm is posited as the reason male perpetrators and victims receive more blame for IPV, it is possible that other aspects of the construct of gender, such as gender role beliefs, underscore these effects. Using a sample of 323 college students and a factorial vignette design that varied body sizes and genders of victims and perpetrators, we examined the extent to which perceptions of physical injury accounted for the effects of perpetrator and victim gender on blame attributions, and whether adherence to traditional gender roles moderated any influences of gender unassociated with perceived injury. For female perpetrators, participants estimated lower levels of perceived injury and greater victim blame, with the former effect predominantly accounting for the latter. Male victims were viewed as less injured and more blameworthy, but the latter finding was not predominantly driven by injury perceptions. Perceived physical injury also did not account for why females perpetrating against males were blamed least. Controlling for differences in perceived injury, those holding more traditional gender views blamed victims of female violence more than victims of male-perpetrated violence. Notably, variations in body physical size were not associated with injury perceptions or blame attributions. These findings overall suggest that gender does influence blame attributions by way of perceived physical injury, but other aspects of the construct of gender are also relevant to these evaluations.

     

Economic analysis of international environmental agreements: lessons learnt 2000–2020

International Environmental Agreements: Politics, Law and Economics - On the occasion of the 20th anniversary of International Environmental Agreements: Politics, Law & Economics, we...     

The COVID Cash Transfer Study: The Impacts of a One-Time Unconditional Cash Transfer on the Well-Being of Families Receiving SNAP in Twelve States

There is growing interest in the use of unconditional cash transfers as a means to alleviate poverty, yet little is known about the effects of such transfers in the U.S. This paper reports on the results of a randomized controlled study of a one-time $1,000 unconditional cash transfer in May 2020 to families with low incomes in 12 U.S. states. The families were receiving, or had recently received, Supplemental Nutrition Assistance Program benefits. We examine the impact of the cash transfer on five pre-registered outcomes (material hardship, mental health, parenting, child behavior, partner relationships) and several secondary outcomes (hardship avoidance, consumption, employment, benefit use). We find no statistically significant effects (powered to detect effects of 0.09 standard deviations) of the cash transfer on any outcomes for the full sample. In pre-specified exploratory analyses, we find significant reductions in material hardship (-0.17 standard deviations) among families with less than $500 of earnings in the previous month, roughly the bottom 50 percent of monthly earnings for the study sample.     

Is there a long‐run relationship between population growth and living standards? The case of India

This note examines the existence of a long‐run, cointegrating relationship between population and per capita GDP in India for 1950–93. Unit root tests show that per capita GDP is integrated of order one while population is integrated of order zero; further, estimation of the bi‐variate relationship using the cointegration procedure of Johansen shows that no long‐run relationship exists. Thus, population growth neither causes per capita income growth nor is caused by it. A corollary is that population growth neither stimulates per capita income growth nor detracts from it.