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A DOUBLE HURDLE APPROACH TO EVALUATING NON-RESIDENTIAL WILDLIFE WATCHING IN THE UNITED STATES AgEcon
Diagne, Assane; Lavergne, David R.; Olatubi, Williams O..
In 1996, over 62 million U.S. residents participated in wildlife watching and spent in excess of 29 billion dollars in this recreational activity. Wildlife watching can be defined as the observation, study, and enjoyment of natural areas and its wild fauna and flora. Residential wildlife watching takes place within one mile of the participant's residence and is often an incidental or secondary activity. Non-residential wildlife watching refers to recreation taking place at a distance of at least one mile from the participant's residence. In recent years, a sharp decline in the number of wildlife watchers has been noted. Between 1991 and 1996, the number of wildlife watchers decreased by 17 percent. During this time interval, the largest decline in...
Tipo: Conference Paper or Presentation Palavras-chave: Wildlife watching; Limited dependent variables; Double hurdle; Resource /Energy Economics and Policy.
Ano: 2000 URL: http://purl.umn.edu/21783
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IMPACTS OF CHAPTER 12 AND LENDER LIABILITY SUITS ON BANKERS' PROPENSITY TO LEND IN WESTERN ARKANSAS AgEcon
Dixon, Bruce L.; Raub, Kristin M.; Flaccus, Janet A..
The recent availability of Chapter 12 bankruptcy and the more frequent use of lender liability suits by borrowers are factors that may be adversely affecting the supply of agricultural loans. An experiment using hypothetical loan applications was undertaken involving 34 banks in western Arkansas. Responses were used to estimate the impacts of these legal procedures on banks' lending behavior. The estimated models indicate Chapter 12 is not a significant factor in the loan approval process. Lender liability has marginal significance in lowering the probability of granting an intermediate term loan.
Tipo: Journal Article Palavras-chave: Chapter 12; Lender liability; Lender survey; Limited dependent variables; Loan approval; Agricultural Finance; Financial Economics.
Ano: 1993 URL: http://purl.umn.edu/15215
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Maximum likelihood estimation of endogenous switching regression models AgEcon
Lokshin, Michael; Sajaia, Zurab.
This article describes the movestay Stata command, which implements the maximum likelihood method to fit the endogenous switching regression model.
Tipo: Journal Article Palavras-chave: Movestay; Endogenous variables; Maximum likelihood; Limited dependent variables; Switching regression; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116249
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