We replicated the study conducted by Wielgus and Peebles (2014) on the effect of wolf mortality on livestock depredations in Montana, Wyoming and Idaho states in the US. Their best models were found to be misspecified due to the omission of the time index and incorrect functional form. When we respecified the models, this replication failed to confirm the magnitude, direction and often the very existence of the original results. Wielgus and Peebles (2014) reported that the increase in the number of wolves culled the previous year would increase the expected number of livestock killed this year by 4 to 6%. But our results showed that the culling of one wolf the previous year would decrease the expected number of cattle killed this year by 1.9%, and the expected number of sheep killed by 3.4%. However, for every wolf killed there is a corresponding 2.2% increase in the expected number of sheep killed in the same year. The increase in sheep depredation appears to be a short term phenomenon.

Purpose The purpose of this paper is to revisit the relationship between E-government and corruption using global panel data from 176 countries covering the period from 2003 to 2014, considering other potential determinants, such as economic prosperity (gross domestic product per capita [GDPPC]), price stability (inflation), good governance (political stability and government effectiveness) and press freedom (civil liberties and political rights) indicators. Hence, the main rationale of this study is to reexamine the conventional wisdom as to the relationship between E-government and corruption using panel data independent of any preexisting notions. Design/methodology/approach The probability reduction approach of empirical modeling proposed by Spanos (2009) is used to test the relationship. Secondary data were collected from the United Nations, the World Bank, Transparency International and Freedom House. Findings No statistical evidence was found for the idea that E-government has a positive impact on corruption reduction following a rigorous test of the proposition. However, strong evidence was found for the positive impact of a country’s government effectiveness, political stability and economic status. There also appears to be some evidence for the effect of GDPPC and civil liberties. There is no evidence to prove that inflation and political rights have any corruption reducing the effect. Research limitations/implications Case studies suggest that E-government is helpful for curbing corruption. This study includes and examines some of the potential and important variables associated with corruption. Further research is encouraged and it should include more variables, such as national culture, poverty, religion and geography. Regarding methodology, a more parsimonious model must be sought to take into account adequately the entire probabilistic structure of the data. Practical implications The findings of the study demonstrate that E-government is less significant for reducing corruption compared to other factors. Hence, policymakers should further focus on other potential areas such as socio-economic factors, good governance, culture and transparency to combat corruption in addition to improving digital government. Originality/value This research applies a new methodological approach to the study of the relationship between E-government and corruption.

Nepal has entered into a federal political structure with 7 provincial governments and 753 local municipalities (rural and urban). There is a paucity of evidence on the status of resources available in the seven provincial governments without which, estimation of resource gap and potentials of these provincial governments for appropriate policy interventions remains elusive. In this paper, we have prepared a resource map of the provincial governments and developed a resource index so that we can rank the provinces using the index. The resource index includes the dimensions of human resource (population), natural resource (arable land, forest coverage and water resources) and financial resources (tax revenue generated per person and GDP per capita). Our findings suggest that there is a high disparity of resource availability in seven different provinces. Provinces 6 and 7 located in the mid and far western regions are found developmentally challenged with low revenue collection and high poverty rate and migration. Provinces 2 and 5 have high levels of resources, wastage and inefficiency. Province 4 is found to be outstanding in terms of efficient resource use and knowledge, and if supported with more resources possesses high chance of becoming the role model province in Nepal.

Background The COVID-19 pandemic and other humanitarian emergencies exacerbate pre-existing inequalities faced by people with disabilities. They experience worse access to health, education, and social services, and increased violence in comparison with people without disabilities. Adolescents with disabilities are amongst those most severely affected in these situations. Using participatory research methods with adolescents can be more effective than other methods but may be challenging in such emergency contexts. Objectives We conducted a scoping review to: 1) describe the literature and methods used in peer-reviewed and grey literature on adolescents (aged ten to nineteen) with disabilities’ experience of COVID-19 and other humanitarian emergencies in low- and middle-income countries, and 2) identify research gaps and make recommendations for future research. Methods The review followed a protocol developed using PRISMA guidelines and the Arksey and O’Malley framework. We searched grey and peer-reviewed literature between 2011 and 2021. Results Thirty studies were included. Twelve were peer-reviewed, and of those seven used participatory methods. Humanitarian emergencies had adverse effects on adolescents with disabilities across health, education, livelihoods, social protection, and community participation domains. Surprisingly few studies collected data directly with adolescents with disabilities. Twenty-three studies combined data from non-disabled children, caregivers, and disabled adults which made it challenging to understand adolescents with disabilities’ unique experience. Conclusions Our review highlights both the scarcity of literature and the importance of conducting research with adolescents with disabilities in humanitarian contexts. Despite challenges, our review shows that it has been possible to conduct research with adolescents with disabilities to explore their experiences of humanitarian emergencies, and that these experiences were different from those of non-disabled adolescents. There is a need to disaggregate findings and support the implementation and reporting of rigorous research methods. Capacity development through partnerships between non-governmental organisations and researchers may improve reporting of methods.

The primary objective of this paper is to revisit DSGE models with a view to bringing out their key weaknesses, including statistical misspecification, non-identification of deep parameters, substantive inadequacy, weak forecasting performance, and potentially misleading policy analysis. It is argued that most of these weaknesses stem from failing to distinguish between statistical and substantive adequacy and secure the former before assessing the latter. The paper untangles the statistical from the substantive premises of inference to delineate the above-mentioned issues and propose solutions. The discussion revolves around a typical DSGE model using US quarterly data. It is shown that this model is statistically misspecified, and when respecified to arrive at a statistically adequate model gives rise to the Student’s t VAR model. This statistical model is shown to (i) provide a sound basis for testing the DSGE overidentifying restrictions as well as probing the identifiability of the deep parameters, (ii) suggest ways to meliorate its substantive inadequacy, and (iii) give rise to reliable forecasts and policy simulations.