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For the trust game, recent models of belief-dependent motivations make opposite predictions regarding the correlation between back transfers and second-order beliefs of the trustor: while reciprocity models predict a negative correlation, guilt-aversion models predict a positive one. This paper tests the hypothesis that the inconclusive results in the previous studies investigating the reaction of trustees to their beliefs are due to the fact that reciprocity and guilt aversion are behaviorally relevant for different subgroups and that their impact cancels out in the aggregate. We find little evidence in support of this hypothesis and conclude that type heterogeneity is unlikely to explain previous results.
Understanding consumer choices and their drivers of willingness to pay (WTP) for a bottle of wine has been a research challenge in wine economics, particularly in niche markets such as sparkling wine. This study investigates the determinants of WTP for sparkling wine based on data from Portuguese consumers. The results provided by two alternative methodologies are compared: a traditional econometric model, based on the estimation of an ordered probit model; and a modelling approach based on data-driven and using machine learning algorithms. Both approaches present similar results, highlighting the relevance of some determinants including income, Champagne brand, not being a protected designation of origin and being a red wine consumer as main predictors of WTP for sparkling wine in Portugal.
Urban green spaces are primarily recognized for their ability to provide opportunities for recreational activities. However, these spaces also offer a broader range of ecosystem services and benefits, which are often overlooked by city inhabitants and the government. This paper utilizes choice experiments to estimate the benefits derived from ecosystem services provided by undeveloped natural areas and urban parks in San José, Costa Rica. We evaluate three ecosystem services provided by undeveloped natural areas, namely habitats for animals and plants, hydrological control, and recreation. Additionally, we estimate the benefits derived from the restoration and construction of three types of urban parks: neighborhood, metropolitan, and central district parks. The results demonstrate that individuals place significant value on the restoration of undeveloped natural areas and urban parks. The findings also indicate variations in the valuation of ecosystem services between undeveloped natural areas and different park types, as well as among households.
This analysis examines aggregate structural changes in the United States dairy industry, 1987–2017. We estimate the likelihood of operation changes in herd size, entry, or exits for each of the lower 48 states using a semiparametric Markov process model. Small- and medium-sized dairy longevity correlates with higher dairy margins and productivity improvements. An increase in consumer expenditures on dairy products is associated with smaller operation exits. Industry dynamics exhibit a persistent trend toward consolidation in most states. The exit probability for each state and all size classes has increased significantly for most states since 2002.
We used choice experiment data collected from 542 farmers in Nigeria to assess smallholders’ preferences for shifting to Climate-Smart Agriculture (CSA). Results suggest that the higher the size of the incentive, the more the likelihood of farmers’ willingness to invest in CSA schemes. Similarly, the farmers were in favor of community development associations and non-governmental organizations-managed schemes over other project managements and also prefer government-based institutions as opposed to the private sector. Willingness to accept results suggest that an average farmer is willing to accept $540/ha/year and $386/ha/year to embrace good agricultural practices (GAPs) with and without manure application.
In 2008 European Commission launches the open access infrastructure for research in Europe project (OpenAIRE), supporting open access (OA) in scientific information and research output. In this paper, we assess the economic sustainability of the OpenAIRE project. The empirical strategy is developed through a Cost–Benefit Analysis framework to evaluate and compare the costs and benefits of OpenAIRE services to provide recommendations on the project’s economic efficiency and sustainability, a non-market valuation method based on the results of a “Choice Experiment” to calculate the Total Economic Value generated by OpenAIRE and a full preference ranking approach. Findings indicate that stakeholders prefer interoperability between research platforms and output, better access to scientific results and compliance to OA mandates. Furthermore, net social benefits for the basic services for 15 years are at least five times higher than costs’ present value while the potential R&D effect from research suggests even larger benefits in the long run. Subscriptions based on the estimated willingness to pay and cost, institutional subsidies and public awareness are the main recommendations for the sustainable operation of OpenAIRE. This study contributes to the literature on monetary valuation of the benefits and costs of OA to scientific knowledge.
This paper looks at how to measure the tradeoffs in monetary terms that the public is prepared to make with respect to adoption of different community policing options. The approach advanced is a discrete choice experiment in which survey respondents face different policing options which can be described by a set of attributes ranging from costs to outcomes. The main contribution of this paper is to show how to go beyond the usual characterization of the monetized benefits of reducing the level of a specific type of crime to asking the question of whether those benefits differ depending on how that outcome is achieved.
The EU established an early warning system by introducing the Macroeconomic Imbalance Procedure (MIP) in the wake of the recent recession. Nevertheless, it has been found by some authors to be rather vague when launching the Excessive Imbalances Procedure. Performed analysis reflects on such views and treats the MIP indicators as a system while assessing the significance of all particular variables separately. This assessment was accomplished by applying a multivariate unbalanced logit model, utilising all 14 MIP headline indicators, using time horizons ranging from one to three years before crisis, which was represented by periods with output gap lower than negative 2 per cent. The approach was confronted with the estimates of a linear probability model to provide an idea about the robustness of the results. In the short term, activity rates, youth unemployment rates and private sector debt are the best performing indicators, complemented by current account balances in the long term.
This paper studies the role of taxation and bequest motives in households’ demand for life insurance. We develop a stylized three-period life cycle model of life insurance demand and test its predictions regarding tax changes and bequests motives. An unexpected halving of the tax exemption limit for interest and dividend income in Germany allows us to identify the impact of changes in taxation on the demand for life insurance in a difference-in-differences setting. In line with our theoretical predictions, we document that ownership of life insurance products increased significantly among households affected by the reform. We also find some evidence of a more pronounced response among households with stronger bequest motives.
Farmland reallocation between farmers through rental transactions is critical for improving Japanese rice productivity. This study examined effects of socio-institutional and emotional factors as well as economic factors on rental transactions. A stochastic choice model was applied to contingent valuation data by considering regional heteroscedasticity. Empirical results showed (1) existence of economic inefficiencies, 3% loss of economic surplus due to socio-institutional restriction, which is probably reflected in transaction costs; (2) a 15% reduction in surplus due to emotional reluctance of farmers; and (3) strong influences of rice price, wages, and geographical location on the rental rate and agreement level.
This study identified the factors that influenced whether farmers in theSoutheastern United States perceived an improvement in environmental qualityfrom adopting precision farming technologies (PFTs). Farmers with largerfarms or higher yields were more likely to believe that they observedpositive externalities associated with PFTs. Farmers who found PFTsprofitable or who believed input reduction was important had higherprobabilities whereas those with higher incomes or who were more dependenton farm income were less likely to perceive such benefits. Interestingly,the importance of environmental quality and length of time using PFTs werenot found to affect the probability of perceiving an improvement inenvironmental quality.
This article examines the economics of groundwater irrigation and shallow tubewell (STW) ownership decision making, using farm-level data collected from 324 households in Nepal. STW irrigation generated a significant positive effect on rice yield and farmers' incomes. Based on a probit model, the farm size, land fragmentation, access to electricity, and access to credit were found to significantly influence farmers' decisions to own STWs. Although the water market benefited poor farmers, it is too small and monopolistic. Policy reforms needed to make groundwater accessible to the poor majority include effective credit programs, investments in rural electrification, and public sector support for promoting suitable pumping technologies.
The probability of a business paying various amounts of money for ane-commerce presence ultimately depends on demographic features, experienceswith e-commerce from a buyer's and seller's perspective, technologicalexpertise, and knowledge of e-commerce opportunities and limitations.Estimating functions to assign probabilities associated with the willingnessto pay for an e-commerce presence will assist in forecasting regionallikelihood of certain profiles paying various monetary amounts for ane-commerce presence. In addition, if services are provided at no cost by athird party, value to a society will be maximized by selecting profiles withthe highest willingness to pay.
Economics belongs in everyone's education once we have learned how to teach it.
—George J. Stigler
Results are presented from a Web-based survey of instructors in agricultural economics and related departments about their use of, and attitudes about, classroom economic experiments.
Determining appropriate topics and target audiences is essential to design effective educational outreach programs. Based on landowner responses to a mail survey, we determined both the importance and the availability of wildlife and forest management information topics to Mississippi landowners. Combining this information clearly identified the appropriate subject matter for outreach programs—topics important to landowners and for which information was relatively unavailable. The importance of wildlife and forest management information relative to its availability depended on the region, land use patterns, and landowner characteristics, thus demonstrating which segments of the population should be targeted to maximize program impact.
In this paper, Chinese consumers' preferences and their willingness to pay (WTP) for non-genetically modified (GM) vegetable oil were elicited by a payment card approach. In addition to the conventional model, spike models, which were originally developed to evaluate public goods, were adopted in this paper. These spike models recognize the possibility of zero WTP and provide opportunities to analyze two correlated decision stages: whether to pay a premium for non-GM oil and how much the premium is. Results show that consumers behaved consistently in the two decision stages and there is a premium associated with non-GM oil.
Data from a national survey of food shoppers are analyzed by probit and ordered probit models that incorporate elements of Lancaster's product attribute model and Weinstein's precaution adoption process. The models are used to investigate the characteristics of organic and nonorganic food shoppers. Where one shops, food beliefs, and food knowledge have the largest significant impact on the probability that shoppers buy organic food. Among the demographic characteristics, only the lack of religious affiliation, higher education, and youth are significant explanatory variables.
Considerable efforts have been made to provide cow-calf producers withinformation to help them make informed decisions about adding value tocalves. Despite demonstrated market incentives to retain calves, manyproducers still sell right after weaning. We postulate this observedbehavior is related to producer risk aversion. Our study concludes riskaversion is an important factor affecting calf retention as the mostrisk-averse producers have more than a 60% probability of selling calves atweaning and the most risk tolerant have less than a 20% probability ofselling at weaning.
U.S. cheese consumption has grown considerably over the last three decades.
Using a censored demand model and Nielsen Homescan retail data, this study
identifies price and non-price factors affecting the demand for
differentiated cheese products. Own-price and expenditure elasticities for
all of the cheese products are statistically significant and elastic.
Results also reveal that a strong substitution relationship exists among all
cheese products. Although demographic influences are generally smaller than
those related to prices and expenditures, empirical findings show that
household size, college educated female heads of household who are age 40
and older, residing in the South, Central, and Western regions of the United
States, as well as Black heads of household, have positive statistically
significant effects on consumers' cheese purchases.
Zoning decisions related to residential lot size and density affect residential land value. Effects of size on residential parcel value in Roanoke County, VA, are estimated with fixed effects hedonic models. Parcel size; elevation; soil permeability; proximity to urban areas, malls, and roads; and location influence parcel value, but the effects vary by value of construction and development status. Parcel value per square meter declines with increasing parcel size. The estimated relationships could be used to evaluate zoning decisions in terms of land values and tax revenues if model estimation uncertainties and responses by developers to zoning strategies are considered.