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1

Marra, Giampiero, Georgios Papageorgiou, and Rosalba Radice. "Estimation of a Semiparametric Recursive Bivariate Probit Model with Nonparametric Mixing." Australian & New Zealand Journal of Statistics 55, no. 3 (September 2013): 321–42. http://dx.doi.org/10.1111/anzs.12043.

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Marra, Giampiero, and Rosalba Radice. "Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity." Canadian Journal of Statistics 39, no. 2 (May 23, 2011): 259–79. http://dx.doi.org/10.1002/cjs.10100.

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Joshi, Omkar, Donald L. Grebner, Ian A. Munn, and Robert K. Grala. "Issues concerning Landowner Management Plan Adoption Decisions: A Recursive Bivariate Probit Approach." International Journal of Forestry Research 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/926303.

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Despite the likely benefits of having a written forest management plan, a small number of landowners in the United States have the one. A recursive bivariate probit model was used to identify the possible relationship between landowners’ decision to obtain a management plan and their interest in future timber harvesting. Our study results based on recursive bivariate model suggest that landowners having larger land ownerships, longer forest ownership tenure, and higher education were more likely to have a forest management plan and future timber harvesting interest. While the landowners having interest for wildlife management were also interested to have a written management plan, they did not prefer to harvest in future. Study results indicate that written management plan means more than a timber harvesting strategy to landowners in general. Many elderly landowners with a low level of income and less formal education and those having small or medium sized tracts of forestland are less likely to own a written management plan. Therefore, this group requires special attention in various government sponsored forest management related extension activities. Future research on understanding landowner perception behind written management plan is recommended.
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Kassouf, Ana Lúcia, and Rodolfo Hoffmann. "Work-Related Injuries Involving Children and Adolescents: Application of a Recursive Bivariate Probit Model." Brazilian Review of Econometrics 26, no. 1 (May 1, 2006): 105. http://dx.doi.org/10.12660/bre.v26n12006.2499.

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Zaky, Hassan H. M., Dina M. Armanious, and Mohamed Ali Hussein. "Testing for the Endogenous Nature between Women’s Empowerment and Antenatal Health Care Utilization: Evidence from a Cross-Sectional Study in Egypt." BioMed Research International 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/403402.

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Women’s relative lack of decision-making power and their unequal access to employment, finances, education, basic health care, and other resources are considered to be the root causes of their ill-health and that of their children. The main purpose of this paper is to examine the interactive relation between women’s empowerment and the use of maternal health care. Two model specifications are tested. One assumes no correlation between empowerment and antenatal care while the second specification allows for correlation. Both the univariate and the recursive bivariate probit models are tested. The data used in this study is EDHS 2008. Factor Analysis Technique is also used to construct some of the explanatory variables such as the availability and quality of health services indicators. The findings show that women’s empowerment and receiving regular antenatal care are simultaneously determined and the recursive bivariate probit is a better approximation to the relationship between them. Women’s empowerment has significant and positive impact on receiving regular antenatal care. The availability and quality of health services do significantly increase the likelihood of receiving regular antenatal care.
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Kawatkar, AA, and MB Nichol. "PSY11 ESTIMATION OF CAUSAL EFFECTS OF PHYSICAL ACTIVITY ON OBESITY BY A RECURSIVE BIVARIATE PROBIT MODEL." Value in Health 12, no. 3 (May 2009): A131—A132. http://dx.doi.org/10.1016/s1098-3015(10)73721-9.

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Isnaini, Fadhila, Vita Ratnasari, and Muhammad Mashuri. "Modeling of Exclusive Breastfeeding and Mother Working Status with Recursive Bivariate Probit Model (Case Study in Surabaya City 2017)." IOP Conference Series: Materials Science and Engineering 546 (June 26, 2019): 052034. http://dx.doi.org/10.1088/1757-899x/546/5/052034.

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Tagne, Joel Stephan, Paul Ningaye, and Georges Kobou. "The Effects of Openness on Managerial Innovation in Cameroonian Companies." Journal of Organizational and End User Computing 33, no. 4 (July 2021): 28–43. http://dx.doi.org/10.4018/joeuc.20210701.oa2.

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The objective of this study was to analyze the effects of openness on the adoption of managerial innovation by Cameroonian companies, as well as comparing the share of managerial innovation resulting from inter-organizational networks of the same group and of different groups. Noting a lack of such a study on Cameroon, this study used data from the Centre de Recherche en Economie et Gestion (CEREG) to achieve the objective. Using a binary probit model and a recursive bivariate probit model, the authors found that, first, a company that collaborates with other companies has an increased probability of 0.37 of adopting new managerial practices, compared to another company that does not collaborate. Second, a company belonging to a group that collaborates with companies of a different group has an increased probability of 0.30 of adopting new managerial practices, compared to a company that only collaborates with companies of the group to which she belongs. Business leaders should cooperate with all market players.
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Paik, Anthony, and Vernon Woodley. "Symbols and investments as signals: Courtship behaviors in adolescent sexual relationships." Rationality and Society 24, no. 1 (February 2012): 3–36. http://dx.doi.org/10.1177/1043463111412719.

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Both structural and cultural arguments suggest that extensive relationship-building behaviors are a precursor to the onset of sexual intercourse. This research develops and tests a game-theoretic signaling framework, which suggests that the association between courtship behaviors and the onset of sexual intercourse should reflect selection effects. To test this framework empirically, this research utilized the National Longitudinal Study of Adolescent Health (1994–1996) and estimated probit and recursive bivariate probit models of sexual intercourse. The results showed support for the signaling framework. Extensive use of courtship behaviors was associated with sexual intercourse, but this association reflected the effects of selectivity. However, extensive courtship was more associated with sexual intercourse when adolescents did not know one another well prior to the start of their romantic relationships. These findings suggest that selectivity associated with signaling theory can complement models of cultural influence and structural effects.
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Tagne, Joël Stephan. "The Impact of Communication Language on Entrepreneurship in Cameroon." International Journal of Sustainable Entrepreneurship and Corporate Social Responsibility 5, no. 2 (July 2020): 17–33. http://dx.doi.org/10.4018/ijsecsr.2020070102.

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The objective of this study was to analyze the effects of linguistic diversity on entrepreneurship in Cameroon. More specifically, it was a question of analysing the effects of linguistic diversity first on entrepreneurial intention, then on business creation, and finally on the sustainability of the businesses created. To achieve these objectives, the authors used data from a survey of 504 individuals in the cities of Douala and Yaoundé conducted by the Laboratory of Research in Fundamental and Applied Economics (LAREFA) of the University of Dschang and using the binary probit, recursive bivariate probit, and tobit models; it was found that 1) bilingual individuals have a lower entrepreneurial intention than their monolingual counterparts; however, the fact that the individual masters several languages facilitates the transition from intention to action; 2) if linguistic diversity is varied from zero to low or medium level, then the duration of the enterprise will increase by 25 months.
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Lin, Jwu-Rong, Erin Hui-Chuan Kao, Shuo-Chun Weng, and Ellen Rouyer. "A Study of Frailty, Mortality, and Health Depreciation Factors in Older Adults." International Journal of Environmental Research and Public Health 17, no. 1 (December 27, 2019): 211. http://dx.doi.org/10.3390/ijerph17010211.

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This study used 23 factors (eight interval variables and 15 dummy variables) as proxies for health depreciation. We used 1248 older adults from the Center for Geriatrics and Gerontology of Taichung Veterans General Hospital (Taiwan) to examine the association among frailty, health depreciation, and mortality in older adults. This study found that a significant positive correlation existed between frailty and mortality in older adults. Further, we applied a recursive bivariate probit model to examine the association between health depreciation factors, frailty, and mortality. Our results showed that health depreciation factors, such as Charlson’s comorbidity index, diabetes and hyperlipidemia, significantly increased older adults’ frailty; in contrast, albumin and mini nutritional assessment significantly decreased older adults’ frailty. Through the frailty regression, we confirmed not only that health depreciation factors significantly influenced mortality, but also that creatinine, myocardial infarction, and malignant tumors could directly and significantly increase older adults’ mortality.
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Ruggeri, Andrea, Han Dorussen, and Theodora-Ismene Gizelis. "Winning the Peace Locally: UN Peacekeeping and Local Conflict." International Organization 71, no. 1 (November 21, 2016): 163–85. http://dx.doi.org/10.1017/s0020818316000333.

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AbstractIt remains contested whether peacekeeping works. The impact of peacekeepers’ actions at the local subnational level for overall mission success has lately received critical attention. Local peacekeeping is expected to matter because it reassures local actors, deters resumption of armed hostilities, coerces parties to halt fighting, and makes commitment to agreements credible. Thus peacekeepers affect the relations between central and local elites and avoid the emergence of local power vacuums and areas of lawlessness. This study uses new subnational data on the deployment of United Nations peacekeepers. It uses matching and recursive bivariate probit models with exogenous variables for temporal and spatial variation to deal with possible nonrandom assignment of the treatment. We demonstrate that conflict episodes last for shorter periods when peacekeepers are deployed to conflict-prone locations inside a country, even with comparatively modest deployment. The effect of peacekeeping on the onset of local conflict is, however, less clear cut.
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Meng, Hongdao, Lindsay J. Peterson, Lijuan Feng, Debra Dobbs, and Kathryn Hyer. "The Use of Mobility Devices and Personal Assistance: A Joint Modeling Approach." Gerontology and Geriatric Medicine 5 (January 2019): 233372141988529. http://dx.doi.org/10.1177/2333721419885291.

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Objective: To examine whether mobility device use substitutes for personal assistance among U.S. older adults. Method: Using the National Health and Aging Trends Study, we identified 3,211 community-living older adults (aged 65 and older) who reported mobility difficulties at baseline. We used recursive bivariate probit models to simultaneously estimate the effect of covariates on the likelihood of using (a) mobility devices and (b) personal assistance to accommodate mobility difficulty. Independent variables included age, gender, race, physical/mental health status, cognition, and comorbidities. Results: Predictors of the use of personal assistance and mobility devices exhibit important similarities and differences. Device use reduced the odds of receiving personal assistance by 50% (odds ratio [OR] = 0.50, 95% confidence interval [CI] = [0.29, 0.86]). Discussion: Findings suggest device use substitutes for personal assistance. Practitioners and policymakers should promote the appropriate use of mobility devices while recognizing the importance of assistance with some groups and the potential of increasing mobility device use.
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Ma, Wanglin, Chunbo Ma, Ye Su, and Zihan Nie. "Organic farming." China Agricultural Economic Review 9, no. 2 (May 2, 2017): 211–24. http://dx.doi.org/10.1108/caer-05-2016-0070.

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Purpose The purpose of this paper is to explore the factors that influence Chinese apple farmers’ willingness to adopt organic farming, paying a special attention to the role of information acquisition. Design/methodology/approach Given that the selection bias may occur when farmers themselves decide whether or not to acquire the information to understand the essence of organic farming, this study employs a recursive bivariate probit model to address the issue of the selection bias. Findings The empirical results indicate that farmers’ decision to acquire information is positively affected by farmers’ environmental awareness, access to credit and access to information. In particular, information acquisition appears to increase the likelihood of farmers’ willingness to adopt organic farming by 35.9 percentage points on average. Practical implications The findings suggest that measures increasing farmers’ information exposure can be promising policy interventions to induce adoption of organic farming. Originality/value While considerable evidence indicates that organic farming provides more benefits than conventional production practice, little is known about farmers’ willingness to adopt in China. This paper provides a first attempt by examining the role of information acquisition in determining Chinese apple farmers’ willingness to adopt.
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Adzima, Kerry. "The Association of Advanced Math Course-Taking by American Youth on Subsequent Receipt of Public Assistance." Advances in Social Work 20, no. 3 (January 29, 2021): 739–55. http://dx.doi.org/10.18060/23866.

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Helping people move to independence is often cited as a primary goal of public assistance policies in the United States. Over the past several decades, welfare reform efforts in the US have promoted the idea of a work-first approach. Research shows that this approach has discouraged or at least made it harder for some students to attend college while meeting the work requirements for aid. How can those students who need public assistance increase their chances of finding a sustainable job and thus not need to rely on the public support system after high school? To address this question, this study used a sample of 3,384 student responses from the National Longitudinal Study of Adolescent to Adult Health and a recursive bivariate probit model to analyze the association between advanced math course-taking in high school and the probability of subsequent receipt of public assistance. The empirical results suggest that taking advanced math courses in high school is associated with a lower probability of receiving public assistance for recent graduates. These findings are particularly important for school social workers who work in conjunction with teachers and school counselors to help at-risk students improve their chances of future financial independence.
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OYEKALE, T. O. "DETERMINANTS OF AWARENESS AND WILLINGNESS TO PAY FOR MORINGA LEAVE AS VEGETABLE IN SOUTH WEST NIGERIA." Journal of Agricultural Science and Environment 17, no. 1 (June 21, 2017): 46–54. http://dx.doi.org/10.51406/jagse.v17i1.1788.

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Moringa oleifera is a nutritious tree plant that has several uses. Moringa leaves contain Vitamin A, Vitamin C, Calcium, Iron, Potassium, and it has good quality protein. Moringa leave could be used in treating malnutrition. It also contains antioxidants which could help in treating certain diseases. This study examined the factors influencing awareness and willingness to pay for moringa. A multistage sampling procedure was used in selecting the respondents. Data were analyzed using Recursive Bivariate Probit Model. The result shows that mean age of respondents was 44 years and the mean household size was 5. The result further revealed that 80.5 percent of the respondents were aware of moringa while 80.1 percent were willing to pay for moringa. The result of the model of awareness of moringa revealed that awareness increases willingness to pay for moringa (p<0.01). The factors that influences awareness were age and occupation of the respondents, knowledge of the nutritive benefits of moringa, perception of respondents that moringa vegetable is too expensive and respondents preference for other vegetable while the factors that influences willingness to pay for moringa were occupation of the respondents, knowledge of other uses of moringa, respondents perception that moringa vegetable is sweet, non availability of fresh moringa vegetable and respondents preference for other vegetable. There is need to increase the awareness of nutritive benefits of moringa vegetable and encourage the availability of fresh moringa foe sale in the local markets.
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Bajracharya, Sugat B., Arabinda Mishra, and Amina Maharjan. "Determinants of crop residue burning practice in the Terai region of Nepal." PLOS ONE 16, no. 7 (July 1, 2021): e0253939. http://dx.doi.org/10.1371/journal.pone.0253939.

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The open burning of agricultural crop residue is a key environmental issue facing the Hindu Kush Himalaya region, the Indo-Gangetic plain in particular. There is a varying intensity in the incidence of open agricultural burning in this region, and multiple drivers that determine why farmers in this region decide to burn their crop residues. While there have been research studies conducted for other countries in the region, research into the determinants of crop-burning in the Nepalese context is missing. Using primary data from a survey of 388 farming households across three districts of the Nepal Terai―Nawalparasi, Rupandehi and Kapilvastu―applying a recursive bivariate probit model, this study seeks to find out what drives the Nepalese farmers to burn their crop residue instead of using them in a sustainable manner and suggest policy recommendations for mitigation. Our findings show that the major determining factors that influence the farmers’ behavior in Nepal are livestock ownership, combine harvester use and awareness level of the farmers. While the effects of crop residue burning is transboundary in nature, the mitigation measures require to be region specific. Based on the findings, the study proposes raising livestock, using technology like Happy Seeders or upgrade the combine harvesters, raising awareness and changing perception of farmers, and promoting alternative uses of crop residue as viable mitigation measures.
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Dibeh, Ghassan, Ali Fakih, and Walid Marrouch. "Employment and skill mismatch among youth in Lebanon." International Journal of Manpower 40, no. 8 (November 4, 2019): 1438–57. http://dx.doi.org/10.1108/ijm-02-2018-0073.

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PurposeEmployment and skill mismatch among youth constitute a major obstacle for access to the job market in the Middle East and North African region. The purpose of this paper is to explore factors explaining employment and the perception of the skill-mismatch problem among the youth in Lebanon using a novel data set covering young people aged from 15 to 29. The paper provides a set of empirical insights that help in the design of public policy targeting school-to-work transition.Design/methodology/approachThe authors control for a rich set of youth and household characteristics to jointly estimate the probability of being employed and the likelihood of reporting a skill-mismatch problem. The empirical analysis uses a bivariate probit model where the first equation estimates the employment status while the second estimates the determinants of skill-mismatch perceptions. The bivariate probit model considers the error terms in both equations to be correlated and the model tests for such a correlation. The authors estimate the model recursively by controlling for the employment dummy variable in the skill-mismatch equation since employed youth could be more or less likely to perceive the skill mismatch. The estimation is conducted first over the whole sample of youth, and then it is implemented by gender and region.FindingsThe authors find that youth employment is mainly correlated with age, being male, being single, having received vocational training and financial support from parents, living with parents and receiving current education. The skill-mismatch perceptions are mainly driven by being male, being single, having received post-secondary education and belonging to upper and middle social classes. The authors also find that employability level and skill-mismatch problems are jointly determined in the labor market for males and in the core region only.Originality/valueThe paper covers a country that is neglected in the literature on the employment-skill mismatch nexus in the context of school-to-work transition. The study also uses a novel data set focusing on youth. The paper contributes to our understanding of the school-to-work transition in particular and to the youth-to-adulthood transition in general.
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Ayalew, Misraku Molla, and Zhang Xianzhi. "The effect of financial constraints on innovation in developing countries." Asian Review of Accounting 28, no. 3 (October 22, 2019): 273–308. http://dx.doi.org/10.1108/ara-02-2019-0036.

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Purpose The purpose of this paper is to investigate the effect of financial constraints on innovation in developing countries. It also examines how the effect of financial constraints varies by sector and with main firm characteristics such as size and age. Design/methodology/approach The study utilizes matched firm-level data from two sources; the World Bank Enterprise Survey and the Innovation Follow-Up Survey. From 11 African countries, 4,720 firms have been included in the sample. A recursive bivariate probit model is used. Findings The result shows that financial constraints adversely affect a firm’s decision to engage in innovative activities and the likelihood to have product innovation and process innovation. The results point out that the extent of the adverse effect of financial constraints on innovation differs across the sectors, firm size and age groups. A firm’s innovation is also explained by firm size, R&D, cooperation/alliance, the human capital of the firm, staff training, public financial support and export. At last, the probability of encountering financial constraints is explained by firms’ ex ante financing structure, amount of collateral, accounting and auditing practices and group membership. Practical implications Managers should strengthen the internal and external financing capacity to reduce financing constraints and their adverse effect on innovation. Social implications A pending policy task for African leaders is to design and evaluate reforms that reduce the adverse effects of financial constraints on innovation. Originality/value This study contributes to the existing literature on financing of innovation by examining how and to what extent financial constraints affect innovation across various sectors, size and age groups.
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Filippini, Massimo, William H. Greene, Nilkanth Kumar, and Adan L. Martinez-Cruz. "A note on the different interpretation of the correlation parameters in the Bivariate Probit and the Recursive Bivariate Probit." Economics Letters 167 (June 2018): 104–7. http://dx.doi.org/10.1016/j.econlet.2018.03.018.

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Nyberg, Henri. "A BIVARIATE AUTOREGRESSIVE PROBIT MODEL: BUSINESS CYCLE LINKAGES AND TRANSMISSION OF RECESSION PROBABILITIES." Macroeconomic Dynamics 18, no. 4 (March 18, 2013): 838–62. http://dx.doi.org/10.1017/s1365100512000636.

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I propose a new binary bivariate autoregressive probit model of the state of the business cycle. This model nests various special cases, such as two separate univariate probit models used extensively in the previous literature. The parameters are estimated by the method of maximum likelihood and forecasts can be computed by explicit formulae. The model is applied to predict the U.S. and German business cycle recession and expansion periods. Evidence of in-sample and out-of-sample predictability of recession periods by financial variables is obtained. The proposed bivariate autoregressive probit model allowing links between the recession probabilities in the United States and Germany turns out to outperform two univariate models.
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PRADNYANTARI, NI GUSTI KETUT TRISNA, I. KOMANG GDE SUKARSA, and NI LUH PUTU SUCIPTAWATI. "PENERAPAN REGRESI PROBIT BIVARIAT UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI KELULUSAN MAHASISWA (Studi Kasus: Mahasiswa Fakultas MIPA Unversitas Udayana)." E-Jurnal Matematika 4, no. 2 (May 30, 2015): 49. http://dx.doi.org/10.24843/mtk.2015.v04.i02.p088.

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The aim of this research to estimate the factors that affect students graduation using bivariate probit regression. Bivariate probit regression is a statistical method that involves two response variables which are qualitative and the independent variables are qualitative, quantitative, or a combination of both. In bivariate probit regression model, the result obtained is the probability of the response variable. The result of this research are the factors that affect significantly for students graduation based on study period are majors, sex, and duration of the thesis, while the factors that significantly for students graduation based on GPA are the entry system, duration of the thesis and the number of parents’ dependents.
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Xiao, Daiquan, Quan Yuan, Shengyang Kang, and Xuecai Xu. "Insights on Crash Injury Severity Control from Novice and Experienced Drivers: A Bivariate Random-Effects Probit Analysis." Discrete Dynamics in Nature and Society 2021 (March 29, 2021): 1–13. http://dx.doi.org/10.1155/2021/6675785.

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This study intended to investigate the crash injury severity from the insights of the novice and experienced drivers. To achieve this objective, a bivariate panel data probit model was initially proposed to account for the correlation between both time-specific and individual-specific error terms. The geocrash data of Las Vegas metropolitan area from 2014 to 2017 were collected. In order to estimate two (seemingly unrelated) nonlinear processes and to control for interrelations between the unobservables, the bivariate random-effects probit model was built up, in which injury severity levels of novice and experienced drivers were addressed by bivariate (seemingly unrelated) probit simultaneously, and the interrelations between the unobservables (i.e., heterogeneity issue) were accommodated by bivariate random-effects model. Results revealed that crash types, vehicle types of minor responsibility, pedestrians, and motorcyclists were potentially significant factors of injury severity for novice drivers, while crash types, driver condition of minor responsibility, first harm, and highway factor were significant for experienced drivers. The findings provide useful insights for practitioners to improve traffic safety levels of novice and experienced drivers.
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Kim, Kyungmann. "A bivariate cumulative probit regression model for ordered categorical data." Statistics in Medicine 14, no. 12 (June 30, 1995): 1341–52. http://dx.doi.org/10.1002/sim.4780141207.

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Gurmu, Shiferaw, and Getachew A. Dagne. "Bayesian Approach to Zero-Inflated Bivariate Ordered Probit Regression Model, with an Application to Tobacco Use." Journal of Probability and Statistics 2012 (2012): 1–26. http://dx.doi.org/10.1155/2012/617678.

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This paper presents a Bayesian analysis of bivariate ordered probit regression model with excess of zeros. Specifically, in the context of joint modeling of two ordered outcomes, we develop zero-inflated bivariate ordered probit model and carry out estimation using Markov Chain Monte Carlo techniques. Using household tobacco survey data with substantial proportion of zeros, we analyze the socioeconomic determinants of individual problem of smoking and chewing tobacco. In our illustration, we find strong evidence that accounting for excess zeros provides good fit to the data. The example shows that the use of a model that ignores zero-inflation masks differential effects of covariates on nonusers and users.
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LaDue, Eddy L., Lynn H. Miller, and Joseph H. Kwiatkowski. "Investment Behavior and Energy Conservation." Northeastern Journal of Agricultural and Resource Economics 19, no. 2 (October 1990): 99–108. http://dx.doi.org/10.1017/s0899367x00002166.

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Binary logit and bivariate probit models were used to investigate the investment behavior of farmers relative to two energy-conserving assets, heat-recovery systems and precoolers. The bivariate probit procedure was useful in correcting for self-selectivity bias. Holdout samples and cross-validation procedures were used to develop true model statistics. Farm size, educational level of the operator, and the type of milking system in use were the important factors influencing investment behavior.
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Bowles, Tyler J., and Jason Jones. "The Effect of Supplemental Instruction on Retention: A Bivariate Probit Model." Journal of College Student Retention: Research, Theory & Practice 5, no. 4 (February 2004): 431–37. http://dx.doi.org/10.2190/jg2q-vnxr-k6gq-n810.

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Meng, Chun-Lo, and Peter Schmidt. "On the Cost of Partial Observability in the Bivariate Probit Model." International Economic Review 26, no. 1 (February 1985): 71. http://dx.doi.org/10.2307/2526528.

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Yuliar Rezika, Wida, Sapto Priyanto, and Muhammad Zudhy Irawan. "Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model." MATEC Web of Conferences 181 (2018): 02009. http://dx.doi.org/10.1051/matecconf/201818102009.

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The urban railway system is believed to solve transportation problems caused by the high growth of private vehicles and urbanization. This study is going to analyze the potential demand for the urban railway in Yogyakarta, Indonesia based on bivariate ordered probit model. The survey of preference stated with 120 samples conducted in Yogyakarta. The model of train demand is distinguished between public transport users and private vehicle users using seven scenarios. In-train travel time, waiting time, tariff, and ticketing discount for students are four factors considered in the model. The demand model shows that in-train travel time is the most important factor influence for train demand. Meanwhile, the scenario result reveals that respondents except student are willing to pay more to obtain shorter travel time, students who use private vehicle are reluctant to shift into the train, and ticketing discount brings no effect to stimulate them to use the train.
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Christofides, Louis N., Thanasis Stengos, and Robert Swidinsky. "On the calculation of marginal effects in the bivariate probit model." Economics Letters 54, no. 3 (July 1997): 203–8. http://dx.doi.org/10.1016/s0165-1765(97)00025-6.

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Monfardini, Chiara, and Rosalba Radice. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study." Oxford Bulletin of Economics and Statistics 70, no. 2 (April 2008): 271–82. http://dx.doi.org/10.1111/j.1468-0084.2007.00486.x.

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Kaplan, D., and R. L. Venezky. "Literacy and Voting Behavior: A Bivariate Probit Model with Sample Selection." Social Science Research 23, no. 4 (December 1994): 350–67. http://dx.doi.org/10.1006/ssre.1994.1014.

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Hillmann, Julia, Thomas Kneib, Lena Koepcke, León M. Juárez Paz, and Jutta Kretzberg. "Bivariate cumulative probit model for the comparison of neuronal encoding hypotheses." Biometrical Journal 56, no. 1 (November 4, 2013): 23–43. http://dx.doi.org/10.1002/bimj.201200161.

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Masiero, Lorenzo, and Judit Zoltan. "TOURISTS INTRA-DESTINATION VISITS AND TRANSPORT MODE: A BIVARIATE PROBIT MODEL." Annals of Tourism Research 43 (October 2013): 529–46. http://dx.doi.org/10.1016/j.annals.2013.05.014.

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Seyoum, Senayit. "Analysis of Prevalence of Malaria and Anemia Using Bivariate Probit Model." Annals of Data Science 5, no. 2 (January 19, 2018): 301–12. http://dx.doi.org/10.1007/s40745-018-0138-3.

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Chen, Songnian, and Yahong Zhou. "Estimating a generalized correlation coefficient for a generalized bivariate probit model." Journal of Econometrics 141, no. 2 (December 2007): 1100–1114. http://dx.doi.org/10.1016/j.jeconom.2007.01.012.

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Maxime Bikoue, Simeon. "Determinants of Child Labour in Cameroon: A Bivariate Probit Model Analysis." Asian Journal of Economic Modelling 9, no. 2 (2021): 105–21. http://dx.doi.org/10.18488/journal.8.2021.92.105.121.

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38

Kotorri, Mrika, Besnik A. Krasniqi, and Marina Dabic. "Migration, Remittances, and Entrepreneurship: A Seemingly Unrelated Bivariate Probit Approach." Remittances Review 5, no. 1 (April 26, 2020): 15–36. http://dx.doi.org/10.33182/rr.v5i1.807.

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The aim of this paper is to examine the interdependence between the decision to invest in entrepreneurship and the receipt of remittances. Firstly, a conceptual framework is developed within the household utility-maximisation model, wherein households are seen to make decisions on entrepreneurship and remittances simultaneously. Guided by this, the model is specified and estimated, employing the seemingly unrelated bivariate probit model upon a random sample stemming from the Kosovo population census. The findings suggest broad support for the household approach. As expected, the two decisions are simultaneously determined and, while remittances have a positive impact on entrepreneurship, no evidence is found for the statistical importance of migration. Household entrepreneurial behaviour is determined by demographic characteristics, income, relative wealth, education, and type of area.
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Park, Sungik, and Jangsik Cho. "An analysis of the determinants of brain-drain using bivariate probit model." Journal of the Korean Data And Information Science Society 30, no. 1 (January 31, 2019): 23–31. http://dx.doi.org/10.7465/jkdi.2019.30.1.23.

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Weiss, Andrew A. "A Bivariate Ordered Probit Model with Truncation: Helmet Use and Motorcycle Injuries." Applied Statistics 42, no. 3 (1993): 487. http://dx.doi.org/10.2307/2986327.

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Umami, A. R., V. Ratnasari, and I. Zain. "Semiparametric Bivariate Probit Model in Data Working Mother Status and Exclusive Breastfeeding." Journal of Physics: Conference Series 1097 (September 2018): 012071. http://dx.doi.org/10.1088/1742-6596/1097/1/012071.

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Olawuyi, Seyi Olalekan, and Abbyssinia Mushunje. "Information acquisition and adoption of conservation agriculture by smallholder farmers in South-West Nigeria: Recursive bivariate probit estimation." African Journal of Science, Technology, Innovation and Development 12, no. 6 (January 24, 2020): 715–25. http://dx.doi.org/10.1080/20421338.2019.1701774.

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Gitto, Lara, Domenico Santoro, and Giuseppe Sobbrio. "Choice of dialysis treatment and type of medical unit (private vs public): application of a recursive bivariate probit." Health Economics 15, no. 11 (2006): 1251–56. http://dx.doi.org/10.1002/hec.1139.

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Belkar, R., and D. G. Fiebig. "A Monte Carlo comparison of estimators for a bivariate probit model with selection." Mathematics and Computers in Simulation 78, no. 2-3 (July 2008): 250–56. http://dx.doi.org/10.1016/j.matcom.2008.01.016.

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Holm, Anders, and Mads Meier Jæger. "Dealing with selection bias in educational transition models: The bivariate probit selection model." Research in Social Stratification and Mobility 29, no. 3 (September 2011): 311–22. http://dx.doi.org/10.1016/j.rssm.2011.02.002.

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Anastasopoulos, Panagiotis C., Matthew G. Karlaftis, John E. Haddock, and Fred L. Mannering. "Household Automobile and Motorcycle Ownership Analyzed with Random Parameters Bivariate Ordered Probit Model." Transportation Research Record: Journal of the Transportation Research Board 2279, no. 1 (January 2012): 12–20. http://dx.doi.org/10.3141/2279-02.

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Ieva, Francesca, Giampiero Marra, Anna Maria Paganoni, and Rosalba Radice. "A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients." Computational and Mathematical Methods in Medicine 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/240435.

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In this work we analyse the relationship among in-hospital mortality and a treatment effectiveness outcome in patients affected by ST-Elevation myocardial infarction. The main idea is to carry out a joint modeling of the two outcomes applying a Semiparametric Bivariate Probit Model to data arising from a clinical registry called STEMI Archive. A realistic quantification of the relationship between outcomes can be problematic for several reasons. First, latent factors associated with hospitals organization can affect the treatment efficacy and/or interact with patient’s condition at admission time. Moreover, they can also directly influence the mortality outcome. Such factors can be hardly measurable. Thus, the use of classical estimation methods will clearly result in inconsistent or biased parameter estimates. Secondly, covariate-outcomes relationships can exhibit nonlinear patterns. Provided that proper statistical methods for model fitting in such framework are available, it is possible to employ a simultaneous estimation approach to account for unobservable confounders. Such a framework can also provide flexible covariate structures and model the whole conditional distribution of the response.
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Li, Chuhui, D. S. Poskitt, and Xueyan Zhao. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification." Journal of Econometrics 209, no. 1 (March 2019): 94–113. http://dx.doi.org/10.1016/j.jeconom.2018.07.009.

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Przeworski, Adam, and James Raymond Vreeland. "A Statistical Model of Bilateral Cooperation." Political Analysis 10, no. 2 (2002): 101–12. http://dx.doi.org/10.1093/pan/10.2.101.

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In most situations of bilateral cooperation we can observe only whether or not potential partners actually cooperate. Yet we often want to know what factors lead the actors to enter into and continue cooperation. The model we develop—a dynamic version of bivariate probit with partial observability—permits one to estimate the probabilities that either of two parties would want to cooperate and to identify the factors that affect these probabilities. As an illustration, we focus on agreements between national governments and the International Monetary Fund. The model should have a wide applicability.
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Lera-López, Fernando, and María José Suárez. "Deporte activo y pasivo: ¿Una relación de conveniencia?" Studies of Applied Economics 30, no. 2 (May 24, 2020): 489. http://dx.doi.org/10.25115/eea.v30i2.3537.

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This empirical paper studies the relationship between individual decisions regarding active and passive sport activities, using a survey conducted in the Spanish region of Navarra in 2007. Firstly, we estimate a bivariate Probit model and a multinomial Logit to analyze sports practice and sporting event attendance. Secondly, we apply a bivariate Tobit model to estimate the determinants of individual expenditures related to both activities. In both participation and expenditures, the results show a significant and positive correlation between active and passive sport activities after controlling for socio-demographic variables.
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