A Comparison of Hypothetical Phone and Mail Contingent Valuation Responses for Green-Pricing Electricity Programs

To date, much of the policy and research debate on contingent valuation mode effects has relied on experiences drawn from other research disciplines. This study provides the first contingent valuation phone-mail comparison that meets current standards for response rates, draws from a general population, is relevant to the valuation of general environmental goods, and allows comparisons with actual sign-ups. Consistent with previous research in other disciplines, social desirability bias is found in responses to subjective questions --thus leading to more environmentally favorable responses on the phone. However, this effect does not carry over to hypothetical participation decisions. Hypothetical bias is found in both modes. Yet, application of calibration methods using debriefing questions provided nearly identical values across modes. As such, neither mode appears to dominate from the perspective of providing more valid estimates of actual participation decisions. The selection of survey mode must be based on other criteria.

[1]  David J. Bjornstad,et al.  The Contingent Valuation of Environmental Resources , 1996 .

[2]  John B. Loomis,et al.  Comparison of Mail and Telephone-Mail Contingent Valuation Surveys , 1994 .

[3]  Jon Strand,et al.  Willingness to pay for environmental goods in Norway: A contingent valuation study with real payment , 1990 .

[4]  Alan Randall,et al.  A satisfactory benefit cost indicator from contingent valuation , 1987 .

[5]  Michael W. Traugott,et al.  The Consequences of Validated and Self-Reported Voting Measures , 1981 .

[6]  J. Loomis Expanding Contingent Value Sample Estimates to Aggregate Benefit Estimates: Current Practices and Proposed Solutions , 1987 .

[7]  D. Dillman Mail and telephone surveys : the total design method , 1979 .

[8]  Richard C. Bishop,et al.  Welfare Measurements Using Contingent Valuation: A Comparison of Techniques , 1988 .

[9]  T. L. Brown,et al.  Effect of social desirability bias and memory recall on reported contributions to a wildlife income tax checkoff program , 1994 .

[10]  J. Vaske,et al.  Mail versus Telephone Surveys: Potential Biases in Expenditure and Willingness-to-Pay Data , 1998 .

[11]  Michael McKee,et al.  Voluntary Contribution Games: Efficient Private Provision of Public Goods , 1991 .

[12]  Richard C. Bishop,et al.  Which Response Format Reveals the Truth about Donations to a Public Good , 1996 .

[13]  Ian J. Bateman,et al.  Real And Hypothetical Willingness To Pay For Environmental Preservation: A Non‐Experimental Comparison , 1997 .

[14]  Gregory L. Poe,et al.  Voluntary revelation of the demand for public goods using a provision point mechanism , 1999 .

[15]  J. Whitehead,et al.  Sample Non-response Bias and Aggregate Benefits in Contingent Valuation: an Examination of Early, Late and Non-respondents , 1993 .

[16]  M. Traugott,et al.  USING DUAL FRAME DESIGNS TO REDUCE NONRESPONSE IN TELEPHONE SURVEYS , 1987 .

[17]  D. Dillman The Design and Administration of Mail Surveys , 1991 .

[18]  S. Presser,et al.  Questions and Answers in Attitude Surveys: Experiments on Question Form, Wording, and Context , 1996 .

[19]  Gregory L. Poe,et al.  DEVELOPING A DEMAND REVEALING MARKET CRITERION FOR CONTINGENT VALUATION VALIDITY TESTS , 1996 .

[20]  S. F. Edwards,et al.  Overlooked Biases in Contingent Valuation Surveys: Some Considerations , 1987 .

[21]  Gregory L. Poe,et al.  CAN HYPOTHETICAL, QUESTIONS PREDICT ACTUAL, PARTICIPATION IN PUBLIC PROGRAMS? A FIELD VALIDITY TEST USING A PROVISION POINT MECHANISM , 1997 .

[22]  J. Loomis,et al.  Evaluation of Mail and In-person Contingent Value Surveys: Results of a Study of Recreational Boaters , 1991 .

[23]  Robert M. Groves,et al.  RESEARCH ON SURVEY DATA QUALITY , 1987 .

[24]  Richard C. Bishop,et al.  Using Donation Mechanisms to Value Nonuse Benefits from Public Goods , 1997 .

[25]  F. Strack,et al.  A comparison of response effects in self-administered and telephone surveys , 1987 .