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Journal articles on the topic 'A double-hurdle model'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Jones, Andrew M., and Steven T. Yen. "A Box-Cox Double-hurdle Model." Manchester School 68, no. 2 (2000): 203–21. http://dx.doi.org/10.1111/1467-9957.00190.

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2

García, Bruno. "Implementation of a Double-Hurdle Model." Stata Journal: Promoting communications on statistics and Stata 13, no. 4 (2013): 776–94. http://dx.doi.org/10.1177/1536867x1301300406.

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3

Jones, Andrew M. "A double-hurdle model of cigarette consumption." Journal of Applied Econometrics 4, no. 1 (1989): 23–39. http://dx.doi.org/10.1002/jae.3950040103.

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4

Humphreys, Brad. "NEW EVIDENCE ON CONSUMER SPENDING ON GAMBLING." Journal of Gambling Business and Economics 4, no. 2 (2013): 79–100. http://dx.doi.org/10.5750/jgbe.v4i2.557.

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Characteristics of households who participate in gambling markets in the US, and the determinants of household expenditure on gambling, are investigated using data from the Consumer Expenditure Survey (CEX). I estimate empirical models of participation in gambling markets and gambling expenditure using Tobit and double hurdle estimators. A likelihood ratio test rejects Tobit in favor of the double hurdle model. The double hurdle model estimates show that key explanatory variables affect participation and expenditure with different signs. Tobit, which is widely used in the literature, forces th

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5

Rude, James, Yves Surry, and Robert Kron. "A generalized double-hurdle model of Swedish gambling expenditures." Applied Economics 46, no. 34 (2014): 4151–63. http://dx.doi.org/10.1080/00036846.2014.939376.

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6

Adusah-Poku, Frank, and Kenji Takeuchi. "Household energy expenditure in Ghana: A double-hurdle model approach." World Development 117 (May 2019): 266–77. http://dx.doi.org/10.1016/j.worlddev.2019.01.018.

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7

Bettin, Giulia, Riccardo Lucchetti, and Claudia Pigini. "A dynamic double hurdle model for remittances: evidence from Germany." Economic Modelling 73 (June 2018): 365–77. http://dx.doi.org/10.1016/j.econmod.2018.04.012.

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8

Reynolds, Anderson. "Analyzing Fresh Vegetable Consumption From Household Survey Data." Journal of Agricultural and Applied Economics 22, no. 2 (1990): 31–38. http://dx.doi.org/10.1017/s1074070800001772.

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Abstract To analyze fresh vegetable consumption using household survey data, the tobit model and a more flexible parameterization to the tobit model—the “double hurdle” model—were considered. Based on the likelihood ratio test, the tobit model was rejected against the “double hurdle” specification. Moreover, the results suggest that the tobit model underestimated the impact of the explanatory variables on fresh vegetable expenditures. Other results indicate that total food expenditures (proxy for income), age, household composition, sex, race, marital status, urbanization, region, and seasonal

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9

Keelan, Conor D., Maeve M. Henchion, and Carol F. Newman. "A Double-Hurdle Model of Irish Households' Food Service Expenditure Patterns." Journal of International Food & Agribusiness Marketing 21, no. 4 (2009): 269–85. http://dx.doi.org/10.1080/08974430802589758.

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10

Newman, Carol, Maeve Henchion, and Alan Matthews. "A double-hurdle model of Irish household expenditure on prepared meals." Applied Economics 35, no. 9 (2003): 1053–61. http://dx.doi.org/10.1080/0003684032000079170.

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11

Dong, Diansheng, Chanjin Chung, and Harry M. Kaiser. "Modelling milk purchasing behaviour with a panel data double-hurdle model." Applied Economics 36, no. 8 (2004): 769–79. http://dx.doi.org/10.1080/0003684042000229505.

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12

Lucchetti, Riccardo, and Claudia Pigini. "A simple and effective misspecification test for the double-hurdle model." Economics Letters 123, no. 1 (2014): 75–78. http://dx.doi.org/10.1016/j.econlet.2014.01.022.

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13

Yen, Steven T., and Shew-Jiuan Su. "Modeling U.S. Butter Consumption with Zero Observations." Agricultural and Resource Economics Review 24, no. 1 (1995): 47–55. http://dx.doi.org/10.1017/s1068280500003609.

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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 hous

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14

Kiyingi, I., A. Edriss, M. Phiri, M. Buyinza, and H. Agaba. "Adoption of On-Farm Plantation Forestry by Smallholder Farmers in Uganda." Journal of Sustainable Development 9, no. 2 (2016): 153. http://dx.doi.org/10.5539/jsd.v9n2p153.

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<p>The study assessed the factors influencing adoption and intensity of adoption of on-farm plantation forestry by comparing results from a censored Tobit model and a Double-hurdle model. Analysis indicated that determinants of adoption and intensity of adoption of on-farm plantation forestry are different, thus indicating a double-hurdle process. Results from the double-hurdle model indicated that size of landholding, secondary school education, forestry skills training, extension services and farmers’ perceptions significantly explain the variation in the decision to invest in on-farm

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15

Humphreys, Brad, Yang Seung Lee, and Brian P. Soebbing. "MODELING CONSUMERS' PARTICIPATION IN GAMBLING MARKETS AND FREQUENCY OF GAMBLING." Journal of Gambling Business and Economics 5, no. 1 (2013): 1–22. http://dx.doi.org/10.5750/jgbe.v5i1.562.

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Survey data on participation in gambling typically contain many zeros. The presence of many zeros presents methodological problems for the analysis of participation in gambling markets and gambling expenditure. The most common techniques for handling zeros in gambling data have been the Tobit estimator and the Heckman selectivity estimator. Recent research indicates that hurdle models (Jones 1989, 2000) and the Cragg (1971) model, are better suited to analyze participation in gambling. We apply these models to gambling participation in Canada and find that the double hurdle model is preferred

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16

Wołoszyn, Andrzej, Romana Głowicka- Wołoszyn, Joanna Stanisławska, and Feliks Wysocki. "Identification of determinants of online purchase of polish households using double hurdle model." Studia i Prace WNEiZ 43 (2016): 459–70. http://dx.doi.org/10.18276/sip.2016.43/3-42.

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17

Lin, C. ‐T Jordan, and J. Walter Milon. "Attribute and Safety Perceptions in a Double‐Hurdle Model of Shellfish Consumption." American Journal of Agricultural Economics 75, no. 3 (1993): 724–29. http://dx.doi.org/10.2307/1243579.

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18

Martínez-Espiñeira, Roberto. "A Box-Cox Double-Hurdle model of wildlife valuation: The citizen's perspective." Ecological Economics 58, no. 1 (2006): 192–208. http://dx.doi.org/10.1016/j.ecolecon.2005.07.006.

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19

Mandikiana, Brian W. "Choice and expenditure: A double hurdle model of private tutoring in Qatar." Economic Analysis and Policy 71 (September 2021): 1–15. http://dx.doi.org/10.1016/j.eap.2021.04.001.

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20

Jou, Rong-Chang, and Tzu-Ying Chen. "Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury." Journal of Advanced Transportation 2019 (December 12, 2019): 1–14. http://dx.doi.org/10.1155/2019/7219047.

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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 modera

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21

Chen, Lingwen, Xi Guan, Jingying Zhuo, et al. "Application of Double Hurdle Model on Effects of Demographics for Tea Consumption in China." Journal of Food Quality 2020 (March 17, 2020): 1–6. http://dx.doi.org/10.1155/2020/9862390.

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The purpose of this study is to investigate the effects of demographic variables on tea consumption in China. A total of 12,745 samples collected from the China Health and Nutrition Survey in 2011 and a double hurdle model were used to analyze the effects of demographic variables on the extent of tea participation and consumption quantity for men and women. The results of this study indicate that the effects of demographic variables differ between genders in terms of tea participation decisions and consumption quantity decisions. For men, education, family size, region, and employment status w

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22

Yen, Steven T. "Working Wives and Food away from Home: The Box‐Cox Double Hurdle Model." American Journal of Agricultural Economics 75, no. 4 (1993): 884–95. http://dx.doi.org/10.2307/1243976.

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23

Gao, X. M., Eric J. Wailes, and Gail L. Cramer. "Double-hurdle Model with Bivariate Normal Errors: An Application to U.S. Rice Demand." Journal of Agricultural and Applied Economics 27, no. 2 (1995): 363–76. http://dx.doi.org/10.1017/s107407080002842x.

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AbstractPer capita rice consumption in the U.S. has doubled over the past decade. The effects of social and demographic variables on the household's rice consumption decisions are analyzed along with income and price variables. A double-hurdle model is used to solve simultaneously the consumer decisions whether to purchase rice and how much. The joint decision hypothesis is tested and accepted. The non-normal distribution of error terms may be responsible for possible bias in the empirical test of the joint decision hypothesis. The hyperbolic sine transformation is used to correct the problem

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24

Etwire, Prince Maxwell, and Edward Martey. "Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model." Sustainable Futures 2 (2020): 100021. http://dx.doi.org/10.1016/j.sftr.2020.100021.

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25

Saz-Salazar, Salvador del, and Pau Rausell-Köster. "A Double-Hurdle model of urban green areas valuation: Dealing with zero responses." Landscape and Urban Planning 84, no. 3-4 (2008): 241–51. http://dx.doi.org/10.1016/j.landurbplan.2007.08.008.

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26

Labeaga, José M. "A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco." Journal of Econometrics 93, no. 1 (1999): 49–72. http://dx.doi.org/10.1016/s0304-4076(99)00003-2.

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27

Balderama, Earvin, Beth Gardner, and Brian J. Reich. "A spatial–temporal double-hurdle model for extremely over-dispersed avian count data." Spatial Statistics 18 (November 2016): 263–75. http://dx.doi.org/10.1016/j.spasta.2016.05.001.

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28

Ricker-Gilbert, Jacob, Thomas S. Jayne, and Ephraim Chirwa. "Subsidies and Crowding Out: A Double‐Hurdle Model of Fertilizer Demand in Malawi." American Journal of Agricultural Economics 93, no. 1 (2011): 26–42. http://dx.doi.org/10.1093/ajae/aaq122.

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29

Ekundayo, Gbenga, Ndubuisi Jeffery Jamani, and Festus Odhigu. "Environmental Disclosure Modelling in a Developing Economy: Does Corporate Governance Matter? A Double Hurdle Regression Approach." International Journal of Financial Research 12, no. 4 (2021): 111. http://dx.doi.org/10.5430/ijfr.v12n4p111.

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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

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30

Hiko, Muhammed Shako. "Adoption of NPS Fertilizer on Sorghum Crop Production by Smallholder Farmers in Gemechis and Mieso Districts of West Hararghe Zone, Oromia Regional State, Ethiopia." Journal of Materials Science Research 9, no. 2 (2020): 46. http://dx.doi.org/10.5539/jmsr.v9n2p46.

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The adoption of inorganic fertilizer such as NPS which is concerned by development clients and government is different from one farmer to another farmer and this makes productivity of agricultural crops to vary from one plot to another plot due to socio-economic, institutional and other factors. Therefore, this study was intended to know the socio-economic factors that significantly affect utilization of inorganic fertilizer NPS. Primary data was collected from 201 sampled households of selected districts. Secondary data was collected from stakeholders related with production of sorghum and in

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31

Yen, Steven T., and Andrew M. Jones. "Household Consumption of Cheese: An Inverse Hyperbolic Sine Double‐Hurdle Model with Dependent Errors." American Journal of Agricultural Economics 79, no. 1 (1997): 246–51. http://dx.doi.org/10.2307/1243958.

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32

DeSarbo, Wayne S., and Jungwhan Choi. "A latent structure double hurdle regression model for exploring heterogeneity in consumer search patterns." Journal of Econometrics 89, no. 1-2 (1998): 423–55. http://dx.doi.org/10.1016/s0304-4076(98)00070-0.

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33

TEIXEIRA, AURORA A. C., and HALIMA ABDI SHARIFU. "FEMALE ENTREPRENEURSHIP AND ACCESS TO BANK LOANS IN TANZANIA: A DOUBLE-HURDLE MODEL APPROACH." Journal of Developmental Entrepreneurship 22, no. 03 (2017): 1750019. http://dx.doi.org/10.1142/s1084946717500194.

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The present study assesses the perceptions of female entrepreneurs in Tanzania regarding the access to bank loans and the difficulties experienced in the process of financing their businesses. Focusing on small-scale businesses, face-to-face interviews were conducted with 75 female entrepreneurs from the Dar es Salaam area. Resorting to double-hurdle estimation models, we conclude that: 1) women who perceive higher discrimination and/or inequality in accessing bank loans, but who also recognize that female entrepreneurs often lack relevant business skills, tend to apply more often for bank loa

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34

Zhang, Feng, Chung L. Huang, Biing-Hwan Lin, and James E. Epperson. "Modeling fresh organic produce consumption with scanner data: a generalized double hurdle model approach." Agribusiness 24, no. 4 (2008): 510–22. http://dx.doi.org/10.1002/agr.20176.

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35

Hong, Jungyeol, Reuben Tamakloe, and Dongjoo Park. "A Comprehensive Analysis of Multi-Vehicle Crashes on Expressways: A Double Hurdle Approach." Sustainability 11, no. 10 (2019): 2782. http://dx.doi.org/10.3390/su11102782.

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To maintain safe expressways, it is necessary to investigate the causes of severe traffic accidents and establish a strategy. This study aims to analyze crashes and identify the influence of crash-risk factors on multi-vehicle (MV) crashes. Crashes involving three types of vehicles namely passenger cars, buses, and freight trucks were analyzed using a seven-year data spanning 2011 to 2017 which consists of crashes that occurred on expressways in South Korea. We applied a double hurdle approach in which a model consists of two estimators: The first estimation, which is a binary logit model sele

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36

Kolapo, A., OE Omopariola, AO Adeoye, and AJ Kolapo. "Adoption of improved processing technology among African locust bean processors in south-west, Nigeria." International Journal of Agricultural Research, Innovation and Technology 10, no. 1 (2020): 123–28. http://dx.doi.org/10.3329/ijarit.v10i1.48104.

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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

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37

Cho, Gue Dae, and In Seck Kim. "The Effect of Immigrants on the Fruit Exports of Korea using Cragg’s Double Hurdle Model." Korean Agricultural Economics Association 60, no. 1 (2019): 43–65. http://dx.doi.org/10.24997/kjae.2019.60.1.43.

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38

Ogeto, MA, JH Mohammed, and DG Bedada. "Adoption of improved potato varieties in jeldu district, oromia region, Ethiopia: a double-hurdle model." International Journal of Agricultural Research, Innovation and Technology 9, no. 2 (2020): 15–22. http://dx.doi.org/10.3329/ijarit.v9i2.45405.

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Smallholder potato producers in Jeldu district produce potato for both home consumption and market. Adoption of improved varieties is suggested to improve and diversify farmers’ household income. This study intents to identify factors determining adoption and intensity of adoption of improved potato varieties in Jeldu district of West Shewa zone, Oromia region, Ethiopia. Both primary and secondary data were used. The primary data were collected from 140 sample households’ selected using two-stage random sampling techniques. Descriptive statics and double hurdle econometric model were used to a

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39

Eakins, John. "An application of the double hurdle model to petrol and diesel household expenditures in Ireland." Transport Policy 47 (April 2016): 84–93. http://dx.doi.org/10.1016/j.tranpol.2016.01.005.

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40

Maki, Atsushi, and Shigeru Nishiyama. "An analysis of under-reporting for micro-data sets: The misreporting or double-hurdle model." Economics Letters 52, no. 3 (1996): 211–20. http://dx.doi.org/10.1016/s0165-1765(96)00865-8.

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41

YEN, S. T., H. H. JENSEN, and O. WANG. "Cholesterol information and egg consumption in the US: A nonnormal and heteroscedastic double-hurdle model." European Review of Agricultural Economics 23, no. 3 (1996): 343–56. http://dx.doi.org/10.1093/erae/23.3.343.

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42

Bannor, Richard Kwasi, Helena Oppong-Kyeremeh, Samuel Atewene, and Camillus Abawiera Wongnaa. "Influence of non-price incentives on the choice of cocoa licensed buying companies by farmers in the Western North of Ghana." Journal of Agribusiness in Developing and Emerging Economies 9, no. 4 (2019): 402–18. http://dx.doi.org/10.1108/jadee-11-2018-0151.

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Purpose The purpose of this paper is to examine the factors influencing the choice and the amount of cocoa beans sold to public and private licensed buying companies in the Western North of Ghana. Design/methodology/approach The study was conducted in the Western North of Ghana. Cragg’s Double Hurdle model was used to examine the factors influencing the choice of licensed buying company (LBC) whereas Kendall’s coefficient of concordance was employed in analysis of the marketing challenges. Findings The results showed that non-price incentives determine the choice and the amount cocoa beans sol

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43

Hlatshwayo, Simphiwe Innocentia, Mjabuliseni Ngidi, Temitope Ojo, Albert Thembinkosi Modi, Tafadzwanashe Mabhaudhi, and Rob Slotow. "A Typology of the Level of Market Participation among Smallholder Farmers in South Africa: Limpopo and Mpumalanga Provinces." Sustainability 13, no. 14 (2021): 7699. http://dx.doi.org/10.3390/su13147699.

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Smallholder farmers face several challenges that limit their access to markets and prevent them from taking advantage of market opportunities. This study sought to provide observed information on households’ involvement in the output market and to analyse the determinants of the level of market participation among smallholder farmers in South Africa. Data (secondary) for this study were collected from a total of 1520 respondents who were selected through stratified random sampling. Descriptive statistics, t-test and a double-hurdle model were used to analyse factors influencing smallholder far

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44

Chen, Yongfu, Wenbo Zhu, and Ziyuan Chen. "The determinants of mutton consumption-at-home in urban China using an IHS double-hurdle model." British Food Journal 120, no. 5 (2018): 952–68. http://dx.doi.org/10.1108/bfj-06-2017-0337.

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Purpose China is not only the biggest mutton consumer, but also the top mutton importer in the world. China’s urban households are becoming the key driving force behind a surge in mutton consumption. Therefore, the purpose of this paper is to investigate the determinants of mutton demand in urban China. Design/methodology/approach Based on a sample of 32,910 urban households across six provinces and autonomous regions, an inverse hyperbolic sine (IHS) double-hurdle model is estimated, by maximum likelihood estimation, to reveal the determinants of mutton consumption-at-home. Findings The empir

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45

WoldeKidan, Hana, Gebrelibanos Hadush, and Kahsay Gerezihar. "Impacts of credit constraint on small holder farmer’s technology adoption in Ethiopia." Journal of Land and Rural Studies 5, no. 2 (2017): 110–19. http://dx.doi.org/10.1177/2321024917700935.

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The study is conducted using a primary data which was collected from 252 randomly selected households found in two woredas (districts) of Gedeo zone with the objective of analysing determinants of smallholder farmers’ participation in the credit market from both demand and supply sides and its implication on agricultural technology adoption and intensity of adoption. Probit and double-hurdle models are employed to analyse the data. Being young, number of oxen and distance to credit market are found to reduce the probability of being credit constrained. Age, number of oxen, family size and tech

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46

Yi, Hyangmi. "A Study on Purchasing Agricultural Products of Re-visitors In Traditional Market Using Double Hurdle Model." Journal of Korean Society of Rural Planning 21, no. 2 (2015): 137–47. http://dx.doi.org/10.7851/ksrp.2015.21.2.137.

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47

Wu, Chaojiang, Feng Mai, and Xiaolin Li. "The effect of content depth and deviation on online review helpfulness: Evidence from double-hurdle model." Information & Management 58, no. 2 (2021): 103408. http://dx.doi.org/10.1016/j.im.2020.103408.

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48

Wang, Jingjing, Yongfu Chen, Zhihao Zheng, and Wei Si. "Determinants of pork demand by income class in urban western China." China Agricultural Economic Review 6, no. 3 (2014): 452–69. http://dx.doi.org/10.1108/caer-08-2012-0090.

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Purpose – The purpose of this paper is to investigate the determinants of pork consumption in urban western China and the different consumption patterns across income strata with respect to income elasticity and price elasticity of demand. Design/methodology/approach – The double-hurdle model is fit to the household data of Sichuan and Xinjiang provinces which is from the National Bureau of Statistics urban household surveys. Findings – The paper finds that consumers’ purchasing decisions regarding pork are related to both non-economic and economic factors. The results also indicate large diff

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49

Moahid, Masaood, and Keshav Lall Maharjan. "Factors Affecting Farmers’ Access to Formal and Informal Credit: Evidence from Rural Afghanistan." Sustainability 12, no. 3 (2020): 1268. http://dx.doi.org/10.3390/su12031268.

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Adequate access to credit is necessary for the sustainable development of agriculture. This study uses a double hurdle model to investigate what affects farming households’ credit participation and amount, and a Probit model to find out credit constraints. For this purpose, the data from a survey of 292 farming households in Afghanistan was utilized. The study finds that households obtain credit for their agricultural activities from various formal and informal sources. The results of the double hurdle model reveal that the financial activities of the households were positively determined by c

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50

Darroch, MAG, PA Hardman, and GF Ortmann. "An assessment of apple orchard investments in South Africa under uncertainty and irreversibility." South African Journal of Economic and Management Sciences 7, no. 4 (2004): 601–15. http://dx.doi.org/10.4102/sajems.v7i4.1292.

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The competitiveness of the South African fresh apple export value chain can be improved if local farmers grow and market more new apple cultivars. An ex ante version of the Dixit-Pindyck investment model is used to assess how uncertainty and irreversibility associated with adopting the new Pink Lady cultivar rather than a traditional Golden Delicious cultivar will raise the hurdle rate required to trigger investment. Modified real hurdle rates reflecting the value of the option to delay investment estimated for both cultivars, are about double the real rate of five per cent that is often used

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