"Cost Effective Conservation Planning: Twenty Lessons from Economics"

Economists advocate that the billions of public dollars spent on conservation should be allocated to achieve the largest possible social benefit. This is what we term “cost-effective conservation”-- a process that incorporates both benefits and costs that are measured with money. This controversial proposition has been poorly understood and not implemented by conservation planners. Drawing from evidence from the largest conservation programs in the United States, this paper seeks to improve the communication between economists and planners and overcome resistance to cost-effective conservation by addressing the open questions that likely drive skepticism among non-economists and by identifying best practices for project selection. We first delineate project-selection strategies and compare them to optimization. Then we synthesize the body of established research findings from economics into 20 practical lessons. Based on theory, policy considerations, and empirical evidence, these lessons illustrate the potential gains from improving practices related to cost-effective selection and also address how to overcome landowner-incentive challenges that face programs.conservation planning, cost-effectiveness, nonmarket valuation, benefit cost targeting, optimization, prioritization

Beef Producer Preferences and Purchase Decisions for Livestock Price Insurance

Personal interviews were conducted with beef cattle producers in Louisiana to determine their preferences and purchase decisions for livestock price insurance. Conjoint analysis was utilized to determine the importance of selected attributes of insurance policies for these producers. The characteristics of producers who prefer given attributes were also identified. Producers rated products given four economic situations to evaluate. A two-limit tobit model was used to estimate the part worth utility values for each attribute. Univariate probit models were estimated to evaluate the influence of producer characteristics on purchase decisions.conjoint, livestock price insurance, ordered probit, two-limit tobit, Agribusiness, Demand and Price Analysis, Livestock Production/Industries,

Evaluation of Urban Improvement on the Islands of the Venice Lagoon: A Spatially-Distributed Hedonic-Hierarchical Approach

This paper presents a model for the evaluation of environmental and urban improvements on the islands of the Venetian lagoon. The model simulates the changes in residential real estate values using a value function integrated in a geographical database which provides spatial distributions of values changes. The fairly weak market signals, fragmented demand and strong externalities, and the scarcity of market data available do not permit the use of econometric models for value appraisal. Appropriate hedonic-hierarchical value functions are calibrated on the basis of a set of indicators of the characteristics of the buildings and the location. Some applications of the model are illustrated simulating two scenarios of future interventions which are actually being discussed or realised and involving the island of Murano, Burano and S. Erasmo in the Venice Lagoon. The interventions considered are: subway beyond the lagoon connecting Murano with Venice and the mainland, and the solution of “high water” problems on Murano, Burano and S. Erasmo.Public work assessment, Property value, Hierarchical analysis

How to allocate Research (and other) Subsidies

A budget-constrained buyer wants to purchase items from a short-listed set. Items are differentiated by observable quality and sellers have private reserve prices for their items. The buyer’s problem is to select a subset of maximal quality. Money does not enter the buyer’s objective function, but only his constraints. Sellers quote prices strategically, inducing a knapsack game. We derive the Bayesian optimal mechanism for the buyer’s problem. We ?nd that simultaneous take-it-or-leave-it offers are optimal. Hence, somewhat surprisingly, ex-postcompetition is not required to implement optimality. Finally, we discuss the problem in a detail free setting

Evaluating Pricing Strategy Using e-Commerce Data: Evidence and Estimation Challenges

As Internet-based commerce becomes increasingly widespread, large data sets about the demand for and pricing of a wide variety of products become available. These present exciting new opportunities for empirical economic and business research, but also raise new statistical issues and challenges. In this article, we summarize research that aims to assess the optimality of price discrimination in the software industry using a large e-commerce panel data set gathered from Amazon.com. We describe the key parameters that relate to demand and cost that must be reliably estimated to accomplish this research successfully, and we outline our approach to estimating these parameters. This includes a method for ``reverse engineering'' actual demand levels from the sales ranks reported by Amazon, and approaches to estimating demand elasticity, variable costs and the optimality of pricing choices directly from publicly available e-commerce data. Our analysis raises many new challenges to the reliable statistical analysis of e-commerce data and we conclude with a brief summary of some salient ones.Comment: Published at http://dx.doi.org/10.1214/088342306000000187 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Risk preferences under heterogeneous environmental risk

We study risk preferences and their determinants for commercial cattle farmers in Namibia who are subject to high and heterogeneous precipitation risk, using data from questionnaire and field experiments, simulated data for on-farm precipitation risk and data on famers’ previous place of residence. We find that the relationship between risk preferences and precipitation risk is contingent on early-life experience with this risk. We also find that adult farmers self-select themselves onto farms according to their risk preferences. Results are not confounded by background risks or liquidity constraint.risk preferences, environmental risk, experimental elicitation, endogenous preferences, self-selection, field experiment

Putting Theory into Practice: Market Failure and Market Based Instruments (MBIs)

The use of market-based instruments (MBIs) to provide and protect ecosystem services has gained significant attention in Australia. Despite their popularity, MBIs are not appropriate for the provision of all ecosystem services. Rather, MBIs must be carefully designed given the ecosystem service outcomes desired, while meeting the needs of participants. In this paper we detail the importance of a robust theoretical structure to underpin the selection and design of an MBI. In particular, we demonstrate the role of identifying and analysing the nature of the market failures present, and their implications for instrument design. Our conclusions are illustrated using several regional MBI case studies.Market Based Instruments (MBIs), ecosystem services, conservation

Weakly Submodular Functions

Submodular functions are well-studied in combinatorial optimization, game theory and economics. The natural diminishing returns property makes them suitable for many applications. We study an extension of monotone submodular functions, which we call {\em weakly submodular functions}. Our extension includes some (mildly) supermodular functions. We show that several natural functions belong to this class and relate our class to some other recent submodular function extensions. We consider the optimization problem of maximizing a weakly submodular function subject to uniform and general matroid constraints. For a uniform matroid constraint, the "standard greedy algorithm" achieves a constant approximation ratio where the constant (experimentally) converges to 5.95 as the cardinality constraint increases. For a general matroid constraint, a simple local search algorithm achieves a constant approximation ratio where the constant (analytically) converges to 10.22 as the rank of the matroid increases

Best Foot Forward or Best for Last in a Sequential Auction?

Should an informed seller of multiple goods sell the best goods first to make a favorable impression on buyers, or instead hold back on the best goods until buyers have learned more from earlier sales? To help answer this question we consider the sequential auction of two goods by a seller with private information about their values. We find that the seller's sequencing strategy endogenously generates correlation in the values of the goods across periods, thereby giving the seller an incentive to impress buyers by leading with the better good. This impression effect implies that selling the better good first is the unique equilibrium in many situations, and that selling the better good last is never a unique equilibrium. Nevertheless, if the seller could commit to a sequencing strategy, revenues would often be higher from waiting to sell the better good last. Either sequencing strategy reveals the seller's ranking of the goods and thereby, due to the linkage principle, generates higher revenues than either randomly selling the goods or selling them simultaneously.sequential auction; impression effect; linkage principle; declining price anomaly