Bill Provencher

article

Ecosystem services in the Great Lakes

Alan D. Steinman, Bradley J. Cardinale, Wayne R. Munns, Mary E. Ogdahl, more

Journal of Great Lakes Research > 2017 > 43 > 3 > 161-168

A comprehensive inventory of ecosystem services across the entire Great Lakes basin is currently lacking and is needed to make informed management decisions. A greater appreciation and understanding of ecosystem services, including both use and non-use services, may have avoided misguided resource management decisions in the past that resulted in negative legacies inherited by future generations....

article

Does the conservation of land reduce development? An econometric-based landscape simulation with land market feedbacks

Katherine Y. Zipp, David J. Lewis, Bill Provencher

Journal of Environmental Economics and Management > 2017 > 81 > C > 19-37

We use an econometrically-based landscape simulation to investigate the effect of conservation on the net change in local development – the amount of land directly protected from development minus the amount of development that may occur on neighboring unprotected private land in response to conservation. First, we use spatial-panel data from Wisconsin to estimate parcel-level subdivision probabilities...

chapter

An Exposition of Structural Estimation of Discrete Dynamic Decision Processes

Bill Provencher, Kenneth A. Baerenklau

The Economics of Non-Market Goods and Resources > Applications of Simulation Methods in Environmental and Resource Economics > 295-315

In the analysis of dynamic decision problems, the vast majority of the literature has focused on normative aspects: what should a resource manager do to maximize a particular objective function? Rarely have resource economists attempted to answer the positive question: what decision problem does a resource manager actually solve? There are several candidate explanations for this emphasis on normative...

article

Using an intervention framework to value salient ecosystem services in a stated preference experiment

David J. Lewis, Bill Provencher, Ben Beardmore

Ecological Economics > 2015 > 114 > C > 141-151

To estimate the value of an improvement in the provision of an ecosystem service, analysts often use an intervention framework in a stated preference experiment. An intervention framework is defined by (i) an intervention, such as a publicly-funded program, and (ii) the intervention effect — the difference in the provision of the ecosystem service with and without the intervention. The contention...

article

Managing Wild Resources: Institutional Choice and the Recovery of Resource Rent in Southwest China

Brian E. Robinson, Bill Provencher, David J. Lewis

World Development > 2013 > 48 > Complete > 120-132

Managing harvests from natural resource systems is often seen as necessary to recover resource rent, that is, for wise and sustainable use. This paper develops a method to estimate resource rent recovery for a class of nontimber forest products and, using a unique dataset on the harvest of wild mushrooms in southwestern China, we empirically estimate this in open access, common access, and privately...

article

Disentangling preferences and expectations in stated preference analysis with respondent uncertainty: The case of invasive species prevention

Bill Provencher, David J. Lewis, Kathryn Anderson

Journal of Environmental Economics and Management > 2012 > 64 > 2 > 169-182

Contingent valuation typically involves presenting the respondent with a choice to pay for a program intended to improve future outcomes, such as a program to place parcels into conservation easement, or a program to manage an invasive species. Deducing from these data the value of the good (or bad) at the core of the program – the welfare gain generated by a parcel of conserved land, for instance,...

article

Accounting for Respondent Uncertainty to Improve Willingness‐to‐Pay Estimates

Rebecca Moore, Richard C. Bishop, Bill Provencher, Patricia A. Champ

Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie > 58 > 3 > 381 - 401

In this paper, we develop an econometric model of willingness to pay (WTP) that integrates data on respondent uncertainty regarding their own WTP. The integration is utility consistent, there is no recoding of variables, and no need to calibrate the contingent responses to actual payment data, so the approach can “stand alone.” In an application to a valuation study related to whooping crane restoration, we find that this model generates a statistically lower expected WTP than the standard contingent valuation (CV) model. Moreover, the WTP function estimated with this model is not statistically different from that estimated using actual payment data suggesting that, when properly analyzed using data on respondent uncertainty, CV decisions can simulate actual payment decisions. This method allows for more reliable estimates of WTP that incorporate respondent uncertainty without the need for collecting comparable actual payment data....

article

The dynamic effects of open-space conservation policies on residential development density

David J. Lewis, Bill Provencher, Van Butsic

Journal of Environmental Economics and Management > 2009 > 57 > 3 > 239-252

Recent economic analyses emphasize that designated open space increases the rents on neighboring residential land, and likewise, the probability of undeveloped land converting to residential uses. This paper addresses a different question: What is the effect of local open-space conservation on the rate of growth in the density of residential land? A discrete-choice econometric model of lakeshore development...

article

A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”

Bill Provencher, Rebecca Moore

Environmental and Resource Economics > 2006 > 34 > 1 > 117-124

In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new approach to using attitudinal data in latent class modeling. We compare this approach with the one taken in Boxall and Adamowicz (2002), in the context of a discrete choice, random utility framework with heterogeneous preferences. We derive the respective likelihood functions of the two approaches to show...

article

Static modeling of dynamic recreation behavior: Implications for prediction and welfare estimation

Kenneth A. Baerenklau, Bill Provencher

Journal of Environmental Economics and Management > 2005 > 50 > 3 > 617-636

This paper examines the consequences of using a static model of recreation trip-taking behavior when the underlying decision problem is dynamic. Specifically we examine the implications for trip forecasting and welfare estimation using a panel dataset of Lake Michigan salmon anglers for the 1996 and 1997 fishing seasons. We derive and estimate both a structural dynamic model using Bellman's equation,...

article

Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study

Bill Provencher, Richard C. Bishop

Journal of Environmental Economics and Management > 2004 > 48 > 1 > 793-810

This paper examines the out-of-sample forecasting performance of several random utility models of recreation behavior. The application is salmon fishing on Lake Michigan in 1996 and 1997, with the quality of fishing (as measured by catch rates) better in 1997 than in 1996. The models examined are a logit model, two random parameters logit (RPL) models, and a latent class logit (LCL) model. Results...

article

An Estimable Dynamic Model of Recreation Behavior with an Application to Great Lakes Angling

Bill Provencher, Richard C. Bishop

Journal of Environmental Economics and Management > 1997 > 33 > 2 > 107-127

This paper develops an estimable model of recreation behavior in which the recreation decision is cast as a dynamic programming problem. The model is illustrated with an application to salmon and trout fishing on Lake Michigan. The application considers various factors affecting the trip decision, including the expected catch, the weather, the opportunity to participate in a fishing derby, and the...

article

Structural Estimation of the Stochastic Dynamic Decision Problems of Resource Users: An Application to the Timber Harvest Decision

Bill Provencher

Journal of Environmental Economics and Management > 1995 > 29 > 3 > 321-338

This paper examines a method for structural estimation of the stochastic dynamic decision problems of resource users. The method involves nesting a stochastic dynamic programming algorithm within a maximum likelihood routine. An application to the timber harvest decision indicates that owners of slash pine plantations in southeast Georgia use a low discount rate and treat timber price as a random...

INFONA - science communication portal

Search results for: Bill Provencher

Ecosystem services in the Great Lakes

Does the conservation of land reduce development? An econometric-based landscape simulation with land market feedbacks

An Exposition of Structural Estimation of Discrete Dynamic Decision Processes

Using an intervention framework to value salient ecosystem services in a stated preference experiment

Managing Wild Resources: Institutional Choice and the Recovery of Resource Rent in Southwest China

Disentangling preferences and expectations in stated preference analysis with respondent uncertainty: The case of invasive species prevention

Accounting for Respondent Uncertainty to Improve Willingness‐to‐Pay Estimates

The dynamic effects of open-space conservation policies on residential development density

A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”

Static modeling of dynamic recreation behavior: Implications for prediction and welfare estimation

Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study

An Estimable Dynamic Model of Recreation Behavior with an Application to Great Lakes Angling

Structural Estimation of the Stochastic Dynamic Decision Problems of Resource Users: An Application to the Timber Harvest Decision

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