Juha Siikamaki and Douglas M. Larson, "Finding Sensitivity to Scope in Nonmarket Valuation", Journal of Applied Econometrics, Vol. 30, No. 2, 2015, pp. 333-349. The data and programs submitted alongside the paper include the following eight files. The contents of each file are explained below. All ASCII files (the .csv file and the .gss files) are zipped in the file sl-files.zip. Unix/Linux users should use "unzip -a". The .xls file is zipped in the file sl-xls-data.zip. 1) "sl-data.csv" Estimation dataset using a comma separated format. The data include 14 columns of survey responses from altogether 876 respondents. Each respondent's data are in one row. The data include the following variables: Column Variable name Description 1 ID Respondent ID 2 wtp11 Response to the WTP question regarding the regional program, initial bid (yes=1, no=0) 3 wtp12 Response to the WTP question regarding the regional program, follow up bid (yes=1, no=0) 4 wtp13 Response to the WTP question regarding the regional program, second follow up bid to those responding no-no to the first two bids (yes=1, no=0) 5 wtp21 Response to the WTP question regarding the state program, initial bid (yes=1, no=0) 6 wtp22 Response to the WTP question regarding the state program, follow up bid (yes=1, no=0) 7 wtp23 Response to the WTP question regarding the state program, second follow up bid to those responding no-no to the first two bids (yes=1, no=0) 8 Region Respondent's water region (1-9, see Fig. 1 in the paper) 9 Initial bid-regional program Bid value ($ 2001) in the initial bid of the regional program 10 High bid-regional program Bid value ($ 2001) in the high follow-up bid of the regional program 11 Low bid-regional program Bid value ($ 2001) in the low follow-up bid of the regional program 12 Initial bid-state Bid value ($ 2001) in the initial bid of the statewide program 13 High bid-state Bid value ($ 2001) in the high follow-up bid of the statewide program 14 Low bid-state Bid value ($ 2001) in the low follow-up bid of the statewide program 2) "sl-data.xls" This Excel spreadsheet includes the survey data in Excel format. The spreadhsheet also lists the main estimation results (Table 1). The file includes the following worksheets: - The worksheet "Datamat" describes the contents of the file. - The worksheet "Data with columns headings" comprises the response data with variable names listed on top. - The worksheet "CSV data to Gauss" comprise the estimation dataset without headings. The GAUSS programs written for the paper are prepared to use the CSV data without headings. - The worksheet "Mixed Logit Estimation Results" lists estimation results from the mixed logit model (Table 1). - The worksheet "Fixed Logit Estimation Results" lists estimation results from the fixed logit model (Table 1). 3) "sl-fixed-logit.gss" is the GAUSS program to estimate the fixed logit model. 4) "sl-mixed-logit.gss" is the GAUSS program to estimate the correlated mixed logit model. 5) "sl-scope-tests.gss" is the GAUSS program to conduct the scope tests. 6) "sl-mc-logistic.gss" is the GAUSS program to conduct a Monte Carlo analysis using a known RUM with logistic stochastic term. 8) "sl-mc-normal-01.gss" is the GAUSS program to conduct a Monte Carlo analysis using a known RUM with normal(0,1) stochastic term. 9) "sl-mc-normal-03.gss" is the GAUSS program to conduct a Monte Carlo analysis using a known RUM with normal(0,3) stochastic term.