Land use transitions: Socio-ecological feedback versus socio-economic change

The concept of land use transition highlights that land use change is non-linear and is associated with other societal and biophysical system changes. A transition in land use is not a fixed pattern, nor is it deterministic. Land use transitions can be caused by negative socio-ecological feedbacks that arise from a depletion of key resources or from socio-economic change and innovation that take place rather independently from the ecological system. Here, we explore whether the sources of land use transitions are mostly endogenous socio-ecological forces or exogenous socio-economic factors. We first review a few generic pathways of forest transition as identified in national case studies, and evaluate the varying ecological quality of expanding forests associated with these pathways. We then discuss possible explanatory frameworks of land use transitions. We use the case of the recent forest transition in Vietnam as an illustration. Socio-ecological feedbacks seem to better explain a slowing down of deforestation and stabilization of forest cover, while exogenous socio-economic factors better account for reforestation. We conclude by discussing the prospects of accelerating land use transitions in tropical forest countries.     

Foreign vs. domestic listing: An entrepreneurial decision

In this paper, we use a unique hand-collected dataset to analyze stock listing as an entrepreneurial decision. By comparing mainland Chinese entrepreneurial firms listed in Hong Kong with the same type of firms opting for a domestic listing on the Shenzhen second board market, we argue that the decision to list on a particular stock exchange is a question of entrepreneurial signaling, and often a trade-off between short-term financial considerations and the entrepreneur's pursuit of long-term benefits.     

Capitalization and the Voucher: An Analysis of Precinct Returns from California''s Proposition 174

In 1993, Californians voted on a school voucher initiative. We hypothesize that homeowners in good school districts understood the voucher to be a threat to their property values and thus voted against it. Precinct returns from Los Angeles County confirm this hypothesis. We also examine an alternative hypothesis explaining the relationship between school quality and precinct returns. According to the alternative, voters perceived the initiative to be a referendum on public school quality. To distinguish between the two hypotheses, we compare the voting patterns of homeowners and renters. The comparison does not favor one hypothesis over the other.     

Day-of-the-Week Autocorrelations, Cross-Autocorrelations, and the Weekend Phenomenon

This study examines whether autocorrelations or cross-autocorrelations are more closely associated with the weekend phenomenon. Our results show a significant day-of-the-week pattern in autocorrelations associated with the weekend phenomenon. However, we find no marginal influence of a day-of-the-week pattern in cross-autocorrelations on the weekend phenomenon.     

Postwar slowdowns and long-run growth: a Bayesian analysis of structural break models

Using Bayesian methods, we re-examine the empirical evidence from Ben-David, Lumsdaine, and Papell (Empir Econ 28:303–319, 2003) regarding structural breaks in the long-run growth path of real output series for a number of OECD countries. Our Bayesian framework allows the number and pattern of structural changes in trend and variance to be endogenously determined. We find little evidence of postwar growth slowdowns across countries, and smaller output volatility for most of the developed countries after the end of World War II. Our empirical findings are consistent with neoclassical growth models, which predict increasing growth over the long run. The majority of the countries we analyze have grown faster in the postwar era as opposed to the period before the first break.     

Bayesian multi-resolution spatial analysis with applications to marketing

Marketing researchers have become increasingly interested in spatial datasets. A main challenge of analyzing spatial data is that researchers must a priori choose the size and make-up of the areal units, hence the resolution of the analysis. Analyzing the data at a resolution that is too high may mask ??macro?? patterns, while analyzing the data at a resolution that is too low may result in aggregation bias. Thus, ideally marketing researchers would want a ??data-driven?? method to determine the ??optimal?? resolution of analysis, and at the same time automatically explore the same dataset under different resolutions, to obtain a full set of empirical insights to help with managerial decision making. In this paper, we propose a new approach for multi-resolution spatial analysis that is based on Bayesian model selection. We demonstrate our method using two recent marketing datasets from published studies: (i) the Netgrocer spatial sales data in Bell and Song (Quantitative Marketing and Economics 5:361?C400, 2007), and (ii) the Pathtracker^? data in Hui et al. (Marketing Science 28:566?C572, 2009b; Journal of Consumer Research 36:478?C493, 2009c) that track shoppers?? in-store movements. In both cases, our method allows researchers to not only automatically select the resolution of the analysis, but also analyze the data under different resolutions to understand the variation in insights and robustness to the level of aggregation.     

Shifting Taxes from Labor to Consumption: More Employment and more Inequality?

This paper investigates the effect of shifting taxes from labor income to consumption on labor supply and the distribution of income in Germany. We simulate stepwise increases in the value‐added tax (VAT) rate, which are compensated by revenue‐neutral reductions in income‐related taxes. We differentiate between the personal income tax (PIT) and social security contributions (SSC). Based on a dual data base and a microsimulation model of household labor supply behavior, we find a regressive impact of such a tax shift in the short run. When accounting for labor supply adjustments, the adverse distributional impact persists for PIT reductions, while the overall effects on inequality and progressivity become lower when payroll taxes are reduced. This is partly due to increases in aggregate labor supply, resulting from higher work incentives.     

Real-life cost of vitamin K antagonist treatment in patients with non-valvular atrial fibrillation in France in 2013

Aims: Data highlighting the cost drivers for non-valvular atrial fibrillation (NVAF) patients in terms of vitamin K antagonist (VKA) treatment and monitoring are lacking in France. This study aimed to evaluate the real-life daily cost of VKA treatment in 2013, in French patients suffering from NVAF.

Methods: This longitudinal observational study was performed using the EGB (Echantillon Généraliste des Bénéficiaires) database, a random sample of the French national insurance (NHI) database, which covers 80% of the population. All adult patients whose first NVAF anticoagulant treatment in 2013 was a VKA were analyzed. Costs were calculated for the duration of follow-up and then divided by the number of days of therapy. The analysis was performed both from the French NHI perspective (amount reimbursed by the NHI) and from a collective perspective.

Results: In this study, 3,254 NVAF patients treated with VKA in 2013 were included, and this sample comprised 52.6% males. The mean daily cost of VKA treatment was €1.13 (±1.18) according to the collective perspective (89.4% of this cost was associated to INR measurement) and €1.05 (±1.16) according to the NHI perspective.

Limitations: As diagnoses associated with procedures are not available in the EGB database, proxies were used, and an algorithm was created to define the AF population.

Conclusions: This analysis is the first to consider an exhaustive spectrum of the costs of VKA treatment in France using EGB data. VKA medication requires exhaustive follow-up, and, thus, associated costs are important. The results of the present study confirmed this close follow-up for VKA patients, making the cost of treatment by VKA nearly 10-times more expensive than the cost of medication itself.