TRUNCATED-AT-ZERO COUNT DATA MODELS WITH PARTIAL OBSERVABILITY: AN APPLICATION TO THE FRESHWATER FISHING DEMAND IN THE SOUTHEASTERN U.S.

We extend the double-hurdle count data model to account for a joint decision in the first stage in which the individual jointly makes a decision about a participation in fishing and a site (region) selection decision. Contrary to the conventional the double-hurdle count data model, our model discriminates between the effects of non-participant and potential participants (e.g., potential participants are those who participated in fishing but may or may not take a trip to a specific site, the Southeastern U.S.) on the probability of taking a fishing trip.Consumer/Household Economics,

Growth Expectations and Decision to Renovate a Golf Course: An Application of a Censored Model with the Simultaneity Test

Golf course renovation and expected business growth were examined. Endogeneity test on the renovation decision and a censored expected growth model rejected the hypothesis of simultaneity and decisions were modeled separately. Key determinants for both decisions were golf facility features, but not respondents' characteristics.Research Methods/ Statistical Methods,

APPLICATION OF HURDLE NEGATIVE BINOMIAL COUNT DATA MODEL TO DEMAND FOR BLACK BASS FISHING IN THE SOUTHEASTERN UNITED STATES.

This paper identifies factors that influence the demand for a black bass fishing trip taken in the Southeastern U.S. using a double hurdle negative binomial count data model. The probability of fishing for a black bass is estimated in the first stage and the trip frequency for fishing a black bass is estimated in the second stage given that the individual has a positive probability towards undertaking a black bass fishing trip in the Southeast. The applied approach allows the decomposition of the effects of factors responsible for the decision of taking a fishing trip and the number of trips.Consumer/Household Economics,

Marketing Portfolio Choices by Independent Peach Growers: An Application of the Polychotomous Selection Model

In selecting a marketing channel for fresh peach sales, Georgia commercial peach growers choose the channel after accounting for buyers' preferences for quality attributes. Using the polychotomous selection model and survey data we identified external and internal quality attributes as essential factors influencing the choice of a marketing channel and the share of the crop marketed. Other factors influencing the choice and the volume sold through each marketing channel included orchard characteristics and the variety-determined fruit maturity.Marketing,

An Evaluation of Turkish Agricultural Production Performance

ABSTRACT In this study, productivity growth and technical changes in Turkish agriculture is measured for 1961 -2001 period using Cobb-Douglas production function. Ridge regression estimating technique is used. The results indicate that the annual output growth rates ranged from 1.30% to 3.40% for the Turkish agricultural production in each of the 10-years period. Farm output growth is mainly due to the use of tractors, labor, irrigation and fertilizer, which shows that most of the growth rate in output has been driven by continued increases in inputs. According to the results of analysis, technical change growth rates ranged from -0.15% to 5.53% over the 40-years period. Although the change has been low, there is a potential to achieve higher growth rates in agricultural production in the future if resources are used efficiently

Food insecurity and sovereignty threat to uncontrolled price spillover effects in financialized agricultural products: The red meat case in Turkiye

The objective of this study is to examine the long-term uncertainty transmission between cattle and lamb carcass markets and the feed wheat market in terms of exogenous variables (e.g., gasoline price, exchange rate, and import variables) and whether the volatility is symmetrical, using the daily data from January 2005 to June 2019, and VAR (1)–BEKK–GARCH (1, 1) Model. The empirical results indicate that short- and long-term indirect and direct shocks and long-term uncertainty propagation significantly affect the conditional variances of the beef carcass, lamb carcass, and feed wheat returns, which poses a threat to producers in terms of product sovereignty and consumers in terms of food security. We also discovered that the conditional variances of the beef carcass, lamb carcass, and feed wheat returns were significantly affected by any increase in foreign exchange rates in times of import in comparison with those in the times of nonimport. Similarly, the fluctuations in the energy (gasoline) market increased the ongoing risk propagations in the lamb carcass and feed wheat markets, whereas they decreased it in the beef carcass market. Meanwhile, asymmetrical effects played a role in uncertainty in transitions for product markets. Additionally, the optimal portfolio weight of beef carcasses on lamb carcasses and feed wheat was 0.645 and 0.553, respectively, whereas the optimal portfolio weight of lamb carcasses on feed wheat remained at approximately 0.188

APPLICATION OF HURDLE NEGATIVE BINOMIAL COUNT DATA MODEL TO DEMAND FOR BLACK BASS FISHING IN THE SOUTHEASTERN UNITED STATES.

This paper identifies factors that influence the demand for a black bass fishing trip taken in the Southeastern U.S. using a double hurdle negative binomial count data model. The probability of fishing for a black bass is estimated in the first stage and the trip frequency for fishing a black bass is estimated in the second stage given that the individual has a positive probability towards undertaking a black bass fishing trip in the Southeast. The applied approach allows the decomposition of the effects of factors responsible for the decision of taking a fishing trip and the number of trips

The impact of license regulation on the number of recreation trips: is it worth considering?

Recreation license, Two stage, Nonlinear least squares, Endogeneity bias, Treatment effect, Q26, Q28,

TRUNCATED-AT-ZERO COUNT DATA MODELS WITH PARTIAL OBSERVABILITY: AN APPLICATION TO THE FRESHWATER FISHING DEMAND IN THE SOUTHEASTERN U.S.

We extend the double-hurdle count data model to account for a joint decision in the first stage in which the individual jointly makes a decision about a participation in fishing and a site (region) selection decision. Contrary to the conventional the double-hurdle count data model, our model discriminates between the effects of non-participant and potential participants (e.g., potential participants are those who participated in fishing but may or may not take a trip to a specific site, the Southeastern U.S.) on the probability of taking a fishing trip