Double Hurdle Model

2018 ◽  
pp. 1-9 ◽  
Author(s):  
Andrew M. Jones
Keyword(s):  
Hurdle Model ◽  
Double Hurdle Model ◽  
Double Hurdle

scholarly journals Determinants of Inorganic Fertilizer Use Intensity on Cereal Crop among Smallholder Farmers: The Case of Toke Kutaye District, West Shewa Zone, Oromia National Regional State, Ethiopia

2022 ◽  
Author(s):  
Aman Dassa ◽  
Abera Ifa ◽  
Efa Gobena
Keyword(s):  
Inorganic Fertilizer ◽  
Farm Income ◽  
Hurdle Model ◽  
Cereal Crop ◽  
Fertilizer Use ◽  
Explanatory Variables ◽  
Double Hurdle Model ◽  
Small Holders ◽  
Double Hurdle ◽  
Land Size

Abstract The study was aimed to analysis determinants of inorganic fertilizer use intensity on cereal crops among small holders in Toke Kutaye District, West Shewa Zone, Ethiopia. Correctional data were collected from 156 respondents using two stage random sampling methods. Data analyses were carried out using descriptive statistics and Double hurdle model. Result of the first hurdle reveals that out of twelve explanatory variables Sex ,Education, Off/non-farm income, Land size and Improved seed were determine positively whereas Age and Distance from nearest market determine small holders use of inorganic fertilizer negatively. The result of second stage of double hurdle model indicate that, out of twelve explanatory variables Sex, family size and Land size were positively affect extent (intensity) of inorganic fertilizer use whereas Age and Distance of household from nearest market determine use intensity negatively. Therefore, these results implied that there is a room to increase inorganic fertilizer use intensity on cereal crop productions. Hence, Farmers capacity to purchase this input beginning from lower income farmers to model farmers should be acknowledged; and should be designed the means to address those who have no ability to use inorganic fertilizer in their own farm through diverse development interventions.

scholarly journals Environmental Disclosure Modelling in a Developing Economy: Does Corporate Governance Matter? A Double Hurdle Regression Approach

2021 ◽  
Vol 12 (4) ◽  
pp. 111
Author(s):  
Gbenga Ekundayo ◽  
Ndubuisi Jeffery Jamani ◽  
Festus Odhigu
Keyword(s):  
Corporate Governance ◽  
Environmental Information ◽  
Information Criteria ◽  
Annual Reports ◽  
Hurdle Model ◽  
Developing Economy ◽  
Significant Determinant ◽  
Environmental Disclosure ◽  
Double Hurdle Model ◽  
Double Hurdle

The paper examines environmental Disclosure Modelling in a Developing Economy using the Craigg double hurdle model and controlling for the role of corporate governance. This study employs the ex-post research design and investigates firm’s environmental disclosures in Nigeria, by controlling for corporate governance characteristics. The study employs a sample of 35 non-financial firms listed on the Nigerian Stock Exchange using the simple random sampling technique. Secondary data retrieved from the financial statements of the selected companies was used for the study. Both the Tobit and double-hurdle models were estimated but based on the Bayesian and Akaike’s information criteria for model selection, the double-hurdle model is preferred. The result reveals that though Board size is not a significant determinant of probability to disclose environmental information in annual reports (-0.0408, p=0.175), it is a significant determinant of the extent of environmental disclosure reports (0.1943, p=0.00) given that a firm has decided to disclose. Board independence is a significant determinant of both probability to disclose environmental information and extent of disclosure (-2.2373, p=0.00) with a negative coefficient. The Board gender diversity is not a significant determinant of probability to disclose environmental information in annual reports (-0.60076, p=0.461), it is a nevertheless a significant determinant of the extent of environmental disclosure reports (-3.5913, p=0.00) when firms then decide to disclose. Institutional ownership turns out to be a significant determinant of both the probability to disclose environmental information and extent of disclosure (0.0273, p=0.00) when firms choose to disclose. Finally, the truncated model results also reveals that though managerial ownership is not a significant determinant of probability to disclose environmental information in annual reports (-0.01352, p=0.148), it is nevertheless a significant determinant of the extent of environmental disclosure reports (-0.0206, p=0.001) when firms then decide to disclose.

scholarly journals Health-related factors on tobacco consumption in Turkey

2020 ◽  
Vol 50 (5) ◽  
Author(s):  
Nuray Demir ◽  
Abdulbaki Bilgic ◽  
Okan Demir ◽  
Adem Aksoy
Keyword(s):  
Prevalence Rate ◽  
Statistical Tests ◽  
Tobacco Consumption ◽  
Hurdle Model ◽  
Related Factors ◽  
Consumption Level ◽  
Double Hurdle Model ◽  
Hyperbolic Sine ◽  
Health Related ◽  
Double Hurdle

ABSTRACT: In this study, we analyzed the role of individuals’ health-related factors along with socio-demographic and economic characteristics on both the likelihood of tobacco consumption and quantity demanded levels using two competitive econometric methods: double hurdle model versus hyperbolic sine double-hurdle model. Statistical tests confirmed the dependency errors between the prevalence rate of smoking and the consumption level, whilst the inverse-hyperbolic sine double-hurdle model data fits best in describing the normalization of the data and the two data generating processes: the probability and consumption levels of cigarettes. Also, the variance-covariance of the selected model as a function of additional exogenous variables are confirmed, while the error terms between the likelihood to smoke and the consumption levels are positive and statistically significant, indicating that holding control variables fixed, the uncontrolled variables out of the system that increase the prevalence rate of smoking also boost the consumption level, or vice versa. Many individual disease variables are significant in both equations, breaking new grounds in literature for identifying how both the prevalence rate of smoking and amount have shaped.

scholarly journals Adoption of improved processing technology among African locust bean processors in south-west, Nigeria

2020 ◽  
Vol 10 (1) ◽  
pp. 123-128
Author(s):  
A Kolapo ◽  
OE Omopariola ◽  
AO Adeoye ◽  
AJ Kolapo
Keyword(s):  
Sampling Procedure ◽  
Processing Technology ◽  
Institutional Factors ◽  
Hurdle Model ◽  
Access To Credit ◽  
Double Hurdle Model ◽  
South West ◽  
Multi Stage ◽  
Locust Bean ◽  
Double Hurdle

The paper investigated the effect of socio-economic and institutional factors on the adoption of improved locust bean processing technology in South-West, Nigeria. Specifically, the study described the socio-economic characteristics of the locust bean processors, examines the level of awareness and adoption of the improved locust bean processing technology in the study area and determines the effect of socio-economic and institutional factors on the adoption and intensity of use of improved locust bean processing technology in the study area. A multi-stage sampling procedure was used to select 360 respondents used for the study. The data were analyzed using descriptive statistics and the Cragg’s (double-hurdle) model. The result of the study showed that majority (84%) of the locust bean processors were female with an average age of 48 (±11.36) years. Majority (97%) of the respondents were married with an average household size of 8.25 (±4.32) persons. The result showed that 44.2% were aware while 55.8% were not aware of the technology in the study area. The results from the Cragg’s double hurdle model show that in the first hurdle, age, experience, access to credit and awareness positively influenced the decision to adopt the improved locust bean processing technology while in the second hurdle, education and income positively influenced the intensity of the use of the improved locust bean processing technology. It is therefore recommended that Relevant stakeholders, agencies and government should made available credit facilities which will enable the locust bean processors acquired the technology in no distant time. Int. J. Agril. Res. Innov. Tech. 10(1): 123-128, June 2020

scholarly journals Modeling U.S. Butter Consumption with Zero Observations

1995 ◽  
Vol 24 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Steven T. Yen ◽  
Shew-Jiuan Su
Keyword(s):  
United States ◽  
Income Elasticity ◽  
The United States ◽  
The Other ◽  
Demand Analysis ◽  
Hurdle Model ◽  
Double Hurdle Model ◽  
Heteroscedastic Errors ◽  
Double Hurdle

A heteroscedastic double-hurdle model is used to investigate household butter consumption in the United States. Results suggest that failure to incorporate heteroscedastic errors may lead to unreliable elasticity estimates. Decomposition of the effects of variables leads to insightful information and makes the double-hurdle model a more useful tool in micro demand analysis. Larger and higher-income households are more likely to consume butter than others and also consume more, but income elasticity is very small. Age, region, and seasonality are among the other significant determinants of household butter consumption.

scholarly journals Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Rong-Chang Jou ◽  
Tzu-Ying Chen
Keyword(s):  
Contingent Valuation ◽  
Productivity Loss ◽  
Hurdle Model ◽  
Monthly Income ◽  
Income Share ◽  
Double Hurdle Model ◽  
Vehicle Crash ◽  
Contingent Valuation Survey ◽  
Average Monthly Income ◽  
Double Hurdle

This study estimates the productivity loss cost according to the severity of vehicle crash injury. A contingent valuation survey was conducted to estimate the willingness to pay (WTP) of vehicle crash offenders in Taiwan. In addition, a Double-Hurdle model was used to deal with the large number of zero WTP responses. The results show that the estimated productivity loss cost of vehicle crash ranges from 2,000 USD to 47,000 USD. In addition, as expected, the individuals’ WTP is positively related with education, average monthly income, share of vehicle crash responsibility, experience of moderate or worse vehicle crash injury, work days lost after a vehicle crash, and experience of receiving compensation for productivity loss from a vehicle crash. This study also demonstrates that the Double-Hurdle model was statistically superior to the Tobit model.

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