A growing body of literature demonstrates that many behavioral anomalies observed in stated-preference elicitation methods such as the contingent valuation method are also observed in actual choices and vice versa. This presentation furthers the argument that such parallel behaviors should be viewed as a strength of stated-preference methods. Three well-known anomalies observed in both stated preferences and actual choices are first reviewed to lay the foundation for this argument. A number of lesser-known anomalies are then presented to demonstrate the wider prevalence of parallel anomalies in stated preferences and actual choices.

Converting coastal waters to farmed production of seafood may generate conflicts with other resource users. This study explores the impact of marine aquaculture development on coastal homeowners. Using single-family home sales from 2012–2014 and spatial data on coastal aquaculture activity, we employ hedonics to assess the impacts of mariculture development in three study areas of Maine, USA. Our results suggest modest impacts on residential property values with significant spatial variation across study areas. This spatial variation represents a challenge for managers and highlights the potential benefits from coordinating the development of aquaculture to balance resource users' objectives with industry growth.

In conjunction with technologies such as horizontal drilling, hydraulic fracturing has transformed U.S. and world energy outlooks by adding reserves from unconventional resources. Fracturing was developed by experimentation and experience. This study empirically analyzes fracturing data for wells in the Williston Basin in North Dakota and Montana, focusing on firms' ability to improve well production over time through collaboration. Results suggest that producers gain from experience with fracturing and that proprietary additives are not generally correlated with greater production but have value for some firms. Experiential gains are stronger for operators than for contractors, but some operator-contractor pairings have productive value.

Growing evidence of surface-water and groundwater contamination has led to demands for federal and state water quality protection policies. Agriculture will be an important target of such policies. Numerous instances of surface-water and groundwater contamination by pesticides and fertilizers have been recorded, and one study estimates that the drinking water of 50 million people in the U.S. is potentially contaminated by agricultural chemicals (Hallberg, Nielsen and Lee).

Of twenty-three agricultural economics conjoint analyses conducted between 1990 and 2001, seventeen used interval-rating scales, with estimation procedures varying widely. This study tests cardinality assumptions in conjoint analysis when interval-rating scales are used, and tests whether the ordered probit or two-limit tobit model is the most valid. Results indicate that cardinality assumptions are invalid, but estimates of the underlying utility scale for the two models do not differ. Thus, while the ordered probit model is theoretically more appealing, the two-limit tobit model may be more useful in practice, especially in cases with limited degrees of freedom, such as with individual-level conjoint models.

With decades of behavioral economic research now achieving prominence, the last decade has seen the advent of behavioral policymaking. These efforts have been widely seen as successful in that they achieve policy goals without inducing backlash on the part of policy targets. Behavioral policies create a unique challenge to welfare analysis that has not been sufficiently addressed in the literature. The existence of behavioral effects creates a paradox, at once justifying the use of paternalistic policies and undermining the empirical foundations of welfare analysis. In this paper I explore the behavioral welfare paradox and its implications for economic policy prescription.

In this paper we develop tools and intuition for portfolio optimization for multiple conservation objectives. We show it is more efficient to optimize a conservation portfolio for multiple goods jointly, allowing planners to exploit information about multiple dimensions of correlations between goods. We identified a new type of correlation that is important for optimal conservation planning of multiple objectives under uncertainty: scenario correlation between objectives in a given part of the landscape. The conservation planner faces a different kind of problem if the objectives at hand respond similarly rather than differently to climate shocks in subregions of the planning area.

We find distiller's dried grains with solubles (DDGS) prices to be positively correlated with both corn and soybean meal prices in the long run. However, neither corn nor soybean meal prices respond to deviations from this long-run relationship. We also identify strong time-varying dynamic conditional correlations between the markets, with the correlation between DDGS and corn strengthened after the expansion of ethanol production. There also appear to exist significant volatility spillovers from both the corn and soybean meal markets to the DDGS market, with the impact from corn shocks much larger compared to soybean meal shocks.

We explore the effects of recommended play and the presentation of payoff information on behavior in an ambient-based policy instrument experiment. Specifically, we test the effects of recommended play (via a description of marginal decision making) and a payoff table on the behavior of individuals facing an ambient-based policy instrument. We find that recommended play and the presentation of a payoff table increases the use of the socially optimal strategy, thereby increasing efficiency. These results suggest that providing decision makers with a richer description of the decision making environment significantly reduces decision error, significantly improving the efficiency of ambient-based policy instruments.

This paper attempts to ascertain the requirements (in terms of ownership of factors of production) for successful adaptation to the Green Revolution in Indian agriculture. We estimate stochastic production frontiers for wheat in two Indian states: Haryana (which has been significantly affected by the Green Revolution) and Madhya Pradesh (where the Green Revolution has had much less effect). In Haryana, but not in Madhya Pradesh, larger farm size and ownership of land and machines positively influence technical efficiency. Thus, with the Green Revolution advancing, land consolidation and vesting of clear ownership rights of land and capital with farmers becomes important.

Despite a proliferation of articles focused on consumer willingness-to-pay for locally produced foods, few studies have systemically considered the role of food identity in the price premium of local foods. This article uses primary and secondary data to fill that gap. Using data from 9,329 U.S. households, we identify what foods each state considers a part of their collective food identity. We then compare each state's collective food identity to the actual production within the state. Finally, we utilize a discrete choice experiment (N = 484) focused on a state with one such collective food identity to test whether a consumer's preference for local foods is a function of the collective food identity within the state. Results from the open-ended survey suggest that each state connects with their food production in unique ways and that not all state identities are consistent with actual agricultural production. Results from the discrete choice experiment suggest that consumers are more willing to pay a premium for the local food that is a part of their local food identity than for a similar product that is not a part of their local food identity. Our findings imply that future research on consumer preferences for local food systems should consider the relationship between food culture and geography.

Design of government policies that seek greater adoption of anaerobic digesters can benefit from a greater understanding of the motivations for adoption. Using a nationwide survey of U.S. dairy and swine producers, this study seeks to determine how policies, peer group influences, environmental beliefs, and farm characteristics affect the decision to adopt a digester. Results suggest that neighborhood effects, farm type and size, and nonmarket benefits of anaerobic digestion are important for predicting whether or not a producer will consider this technology for manure management. However, the decision to actually adopt is more dependent on government policies and economic considerations.

Existing empirical evidence on the impact of macroeconomic variables on agriculture remains mixed and inconclusive. This paper re-examines the dynamic relationship between monetary policy variables and agricultural prices using alternative vector autoregression (VAR) type model specifications. Directed acyclic graph theory is proposed as an alternative modeling approach to supplement existing modeling methods. Similar to results in other studies, this study's findings show that over the time period analyzed (1975–2000), changes to money supply as a monetary policy tool had little or no impact on agricultural prices. The primary macroeconomic policy instrument that affects agricultural prices is the exchange rate, which is shown to be directly linked to interest rate, a source of monetary policy shock.

This paper explores the use of functional benefits transfer to forecast the effects of waste sites on property values. The results of a meta-analysis of hedonic studies of waste sites are coupled with spatial analysis techniques to produce estimates of the effects of toxic contamination in Areas of Concern (AOCs) in the U.S. Great Lakes. Based on U.S. Census data for median home values, the methods used here suggest that approximately S5.2 billion (2005 dollars) have been lost in residential property values surrounding twenty-three of the AOCs. This compares to estimates that place the cost of remediation of all U.S. AOCs at up to $4.5 billion (2005 dollars). The case study also identifies issues surrounding the use of a meta-analysis with hedonic property value studies to support functional transfer.

Policymakers and value chain members often use a one-size-fits-all strategy to increase local food consumption. Our results indicate this approach may not be effective; local food buyers and nonbuyers have differing barriers to purchasing more or accessing local food. We examine the effect of demographics, health indicators, shopping location, and zip code on those barriers. Prices and availability are barriers for both buyers and nonbuyers. Consumers with higher healthy diet scores are more likely to think about local food availability. Providing specific products is a more viable strategy than creating additional purchasing venues. These results are important, as governments seek to increase local food purchases and enhance local agriculture.

The hedonic pricing technique was used to measure that component of house price attributable to proximity to a city park, using data on sale prices and characteristics of houses in Worcester, MA. Aggregation of these residual values over all houses in the neighborhood of a park provided an estimate of the value of the park, to which was added an estimate of recreation benefits from extrazonal users. The policy question of park system development or contraction was addressed by comparing these benefits with operating costs to gain a net measure of parkland value.

This paper introduces a web-based computer program designed to evaluate weather risk management and weather insurance in the United States. The paper outlines the economics of weather risk in terms of agricultural production and household well-being; defines weather risk in terms of intensity, duration, and frequency; and illustrates the computer program use by comparing heat and precipitation risks at Ardmore, Oklahoma, and Ithaca, New York.

This paper considers the treatment of “don't know” (DK) responses to referendum contingent valuation questions. The determinants of DK responses are empirically analyzed using a data set from a survey of old growth forest valuation. It is found that DK respondents possess unique characteristics that differentiate them from Yes and No respondents. These findings do not support the most common treatments of DK responses that are currently used. Responses to an open-ended question included in the survey are used to provide further insight into the preferences of DK respondents.

This study examines the impact of publicly supported insurance on agricultural land values. The analysis employs confidential, nationally representative panel data on field-level pastureland values and exploits a natural experiment provided by gradual introduction of the Pasture, Rangeland, and Forage Insurance Pilot Program. We use a field-level fixed-effects model that controls for several time-variant factors. We find that insurance availability is associated with an increase of at least 4 percent in pastureland values. This increase is comparable with increases generated by other government programs but is much smaller than total farmland value increases experienced in recent years.

This study explores factors affecting adoption of two stormwater management practices, rain gardens and rain barrels. Mail survey data from Columbia, Missouri indicate adoption rates of 3.12 percent (rain gardens) and 7.47 percent (rain barrels). This unique dataset enables us to distinguish among nonadopters using knowledge levels, and to investigate the effect of practice-specific barriers. Clustered multinomial logistic regressions reveal serious gardeners are more likely to adopt both practices. Specific barriers differ by practice and type of nonadopter. Adding practice-specific barriers increased pseudo R2 values from 0.12 to 0.22 for rain gardens and from 0.13 to 0.26 for rain barrels.