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Journal articles on the topic 'Recursive bivariate probit model'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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 (2013): 321–42. http://dx.doi.org/10.1111/anzs.12043.

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KOSSOVA, E. V., I. S. SLABOLITSKIY, and B. S. POTANIN. "ESTIMATING PROBABILITIES,MARGINAL EFFECTS AND TREATMENT EFFECTS IN RECURSIVE BIVARIATE PROBIT MODELS." Lomonosov Economics Journal, no. 4_2023 (May 21, 2024): 23–49. http://dx.doi.org/10.55959/msu0130-0105-6-58-4-2.

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This article addresses the interpreting results of recursive system of binary equations estimation in the case when the system does not satisfy exclusion restriction conditions. It means that the equation defining the endogenous variable does not contain a unique covariate. This article extends the analysis of previous studies on the identifiability of parameters of recursive binary systems by analyzing the conditions for the identifiability of probabilities, marginal effects and treatment effects. We provide a reasonable consideration suggesting that even if parameters of the model are uniden

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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

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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 (2011): 259–79. http://dx.doi.org/10.1002/cjs.10100.

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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 (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. T

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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 (2009): A131—A132. http://dx.doi.org/10.1016/s1098-3015(10)73721-9.

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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 (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 probabi

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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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Walusimbi, Ronald, Fredrick Bagamba, Brian Ogenrwoth, Racheal Mutiibwa, and Jackline Bonabana. "Food security gains from the adoption of improved maize varieties among smallholder households in Uganda: A panel analytical framework." African Journal of Agricultural and Resource Economics 19, no. 2 (2024): 166–80. https://doi.org/10.53936/afjare.2024.19(2).10.

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This study investigated the food security effect of the adoption of improved maize varieties among farming households in Uganda using four waves of the Uganda National Panel Survey (UNPS) spanning the period 2013 to 2020. The panel data regression analysis using a recursive bivariate probit and a two-stage fixed-effects Poisson regression model that confirmed food security benefits among the adopting farmers, measured as the number of meals taken per day and food availability. Therefore, to widely enjoy the benefits from adoption, awareness of these benefits should be created among farmers by

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Maviko, Isaac, Lovemore Mangani Kachingwe, Julius H. Mangisoni, and Wisdom Richard Mgomezulu. "The impact of ICT-based weather information services on the adoption of climate change adaptation strategies in Balaka District, Malawi: A recursive bivariate probit model." African Journal of Agricultural and Resource Economics 19, no. 4 (2024): 386–99. https://doi.org/10.53936/afjare.2024.19(4).23.

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The current study investigated the impact of using information and communication technology-based weather information services on the adoption of climate change adaptation strategies. Working within the context of the technology acceptance model and random utility theory, a recursive bivariate probit model was employed on 330 farm households sampled from the Balaka District in southern Malawi. Both the marginal effects and the average treatment effect on the treated (ATT) show that the use of ICT-based weather information services positively affects the adoption of shifting planting dates, inc

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Gezelius, Mats, and Reza Mortazavi. "Effect of Having Solar Panels on the Probability of Owning Battery Electric Vehicle." World Electric Vehicle Journal 13, no. 7 (2022): 125. http://dx.doi.org/10.3390/wevj13070125.

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Greenhouse gas emissions, produced by various sectors, including transportation, are significantly impairing the environment and drive climate change. Battery electric vehicles are increasingly seen as a way to alleviate these problems, but they must be charged with electricity produced through environmentally friendly methods. This paper investigates a possible relationship between battery electric vehicles and solar photovoltaic panels using ENABLE.EU household survey data from ten European countries in autumn 2017–spring 2018. Based on the estimates from a recursive bivariate probit model,

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Elamin, Obbey. "Estimating the Causal Effect of Father Unemployment on the Propensity of Child School Dropout in Sudan." مجلة التنمية والسياسات الاقتصادية 25, no. 1 (2023): 27–57. http://dx.doi.org/10.34066/jodep.23.25.1.5.

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Unemployment and school dropout are two major economic problems in developing countries including Sudan. This paper estimates the causal effect of father unemployment on child school dropout using cross-section data from the National Baseline Household Survey in Sudan in 2009. We use a semi-parametric recursive bivariate probit model to control for the impact of the unobserved confounders and the endogeneity bias. Our results show that father unemployment increases child school dropout by 28 percentage points on average in the sample of all children. In rural areas, however, the impact reaches

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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 (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

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Gomes, Nelson, and Nuno Gonçalves. "Innovation and the Financial Performance of Firms during the Great Recession and Recovery Period." Notas Económicas, no. 55 (December 7, 2022): 113–28. http://dx.doi.org/10.14195/2183-203x_55_5.

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This study analyzes the relationship between innovation and financial constraints. To this end, a database extracted from the Community Innovation Survey (CIS) and the System of Business Accounts (SCIE) was used. The sample consisted of 24,679 active companies operating in Portugal in the manufacturing and service industry between 2008 and 2016. A Recursive Bivariate Probit Model (RPBM) was used for making estimates. When analyzing the relationship between innovation and financial constraints, the results reveal a negative relationship between the two, confirming that firms that are financiall

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Zuo, Xiaofan, and Zhisheng Hong. "The Impact of Digital Technology on Land Rent-Out Behavior: Information Sharing or Exclusion?" Agriculture 12, no. 7 (2022): 1046. http://dx.doi.org/10.3390/agriculture12071046.

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In the digital age, it is critical to understand the nexus between digital technology (DT) and land rent-out behavior (LRB). It has implications for reducing the rate of land abandonment to achieve sustainable agricultural development. A large dataset (n = 5233) dating from 2016 and coming from the China Family Panel Studies (CFPS) is used to explore the impact of DT on LRB by applying several econometric models, also including the “Recursive Bivariate Probit (RBP) model” and “Chain Multiple Mediation effect (CMM) model”. We provide empirical evidence that the DT’s information sharing effect p

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Wang, Xiaolan, Liz Maribel Robladillo Bravo, Ricardo Fernando Cosio Borda, et al. "The Role of Internet and Social Interactions in Advancing Waste Sorting Behaviors in Rural Communities." Resources 13, no. 4 (2024): 57. http://dx.doi.org/10.3390/resources13040057.

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Addressing the global challenge of sustainable waste management, this research investigates the influence of social dynamics and digital connectivity on rural residents’ willingness to adopt waste classification practices, essential for sustainable environmental management. Through a comprehensive analysis of 5413 rural participants surveyed in the China Labor-force Dynamic Survey (CLDS), this study employs a novel mixed-methods approach. It integrates quantitative analysis with the Manski social interaction framework and a Recursive Bivariate Probit model to explore the intricate interplay be

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OLARINRE, Abiola Adebunmi, Job Olatunji OLADEEBO, Adedolapo Kemi AJALA, Muritala Oyedele JABARU, and Matthew Olufemi Adio. "Does Microfinance Participation Affect Food Insecurity? An Empirical Evidence from Fish Farmers in Osun State, Nigeria." International Journal of Research and Innovation in Social Science VIII, no. X (2024): 2197–209. http://dx.doi.org/10.47772/ijriss.2024.8100188.

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Nigeria at the moment is currently experiencing a surge in prices of food items with inflation on the rise. Although food insecurity affects the entire world, it is more severe in developing countries; hence, the need to examine the impact of Microfinance Participation on food insecurity among fish farming households in Osun State, Nigeria. A total of 284 respondents who are into fish farming were used for this study. Household food insecurity access scale (HFIAS) and Recursive Bivariate Probit Regression Model were used for the analysis and the impact study. The findings from this research es

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Ma, Wanglin, Chunbo Ma, Ye Su, and Zihan Nie. "Organic farming." China Agricultural Economic Review 9, no. 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

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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 (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 s

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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 (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 househ

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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 (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 N

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Ullah Khan, Safi. "How funding matters: Reinitiating of New Product Development and the moderating effect of extramural R&D." Journal of Entrepreneurship, Management and Innovation 18, no. 4 (2022): 185–219. http://dx.doi.org/10.7341/20221846.

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PURPOSE: We examine whether financial obstacles affect the probability of a firm undertaking previously suspended (or abandoned) innovation projects for new product development (NPD), and whether extramural R&D, as well as the breadth of the types of R&D collaboration (i.e., knowledge sources), moderate the relationship between financing constraints and the probability of restarting previously suspended NPD from selected South Asian economies. METHODOLOGY: This study controls for potential endogeneity in innovation propensity and finance access by employing a recursive bivariate probit

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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 (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 es

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Ononino, Jean, Cyrille Kamdem, Raymond Ekodo, and Paul Nguezet. "Building Climate Resilience Using Improved Cassava Planting Materials Among Stallholder Cassava Producers in Cameroon." International Journal of Agricultural Economics 10, no. 3 (2025): 104–25. https://doi.org/10.11648/j.ijae.20251003.13.

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Climate change represents one of the most pressing challenges of the 21st century, disproportionately affecting rural communities reliant on agriculture for their livelihoods. To address the urgency of climate change in SSA, the technologies used must be accessible and easy to adopt. This study, based on a survey of 1,233 cassava producers in Cameroon, analyzes the effect of adopting improved cassava planting material (ICPM) on climate resilience. The econometric approach employed is a recursive bivariate probit model, which allows for the estimation of marginal effects and treatment effects.

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Addai, Kwabena Nyarko, Omphile Temoso, and John N. Ng'ombe. "Participation in farmer organizations and adoption of farming technologies among rice farmers in Ghana." International Journal of Social Economics 49, no. 4 (2021): 529–45. http://dx.doi.org/10.1108/ijse-06-2021-0337.

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PurposeThe authors examine the factors influencing membership in farmer organizations (FO) and their effects on the decision to adopt farm technologies by rice farmers in Ghana.Design/methodology/approachThis study uses a farm survey of 900 households from Northern Ghana and a recursive bivariate probit (RBP) model that accounts for selection bias and endogeneity.FindingsThe results indicate that the household head’s decision to adopt machinery and row planting increases by 38.4 and 25.3%, respectively, upon joining a farmer organization. Membership in farmer organization is positively influen

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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 (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 aff

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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 (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 probi

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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 (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

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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

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Faisol, Tony Yulianto, Arsyiah, Sugiono, Achmad Basuki, and Muhammad Agus Zainuddin. "Seawater salinity modeling using bivariate probit regression." Journal of Physics: Conference Series 2157, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1742-6596/2157/1/012026.

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Abstract Salt is one of the marine resources that is quite a lot needed as a supplementary food for the people of Indonesia. However, efforts to increase salt production have not been in demand, including in efforts to improve its quality, because many factors affect sea salt content or salinity, including the evaporation process, location and size of the sea, wind, air humidity and sea water temperature in this study are expected to produce the best salinity modeling by taking into account the factors that affect salinity. In this study, the method used was probit bivariate. The parameter est

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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 (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 signalin

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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 (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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Tagne, Joël Stephan. "The Impact of Communication Language on Entrepreneurship in Cameroon." International Journal of Sustainable Entrepreneurship and Corporate Social Responsibility 5, no. 2 (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 biva

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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

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Kim, Kyungmann. "A bivariate cumulative probit regression model for ordered categorical data." Statistics in Medicine 14, no. 12 (1995): 1341–52. http://dx.doi.org/10.1002/sim.4780141207.

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Solekha, Novia, and Nabilla Rida Tri Nisa. "Spatial Probit Regression Analysis Using Recursive Importance Sampling on the Human Development Index in Central Jawa Province." Jurnal Litbang Provinsi Jawa Tengah 22, no. 2 (2025): 131–241. https://doi.org/10.36762/jurnaljateng.v22i2.1230.

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This research aims to analyze the Human Development Index (HDI) in Central Java Province using two modeling approaches: the probit model and the spatial probit model. HDI, a crucial indicator of quality of life, is categorized into two groups: medium-low and high. Among the 35 districts and cities in Central Java, 9 fall into the medium-low category (35%), while 26 are classified as high (65%). Brebes Regency has the lowest HDI at 69.54, whereas Sukoharjo City boasts the highest HDI at 77.73. The results reveal that the spatial probit model provides a superior classification of HDI compared to

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Saborío-Montero, Alejandro, Mónica Gutiérrez-Rivas, Aser García-Rodríguez, et al. "Structural equation models to disentangle the biological relationship between microbiota and complex traits: Methane production in dairy cattle as a case of study." Journal of Animal Breeding and Genetics 137, no. 1 (2020): 36. https://doi.org/10.1111/jbg.12444.

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The advent of metagenomics in animal breeding poses the challenge of statistically modelling the relationship between the microbiome, the host genetics and relevant complex traits. A set of structural equation models (SEMs) of a recursive type within a Markov chain Monte Carlo (MCMC) framework was proposed here to jointly analyse the host–metagenome–phenotype relationship. A non-recursive bivariate model was set as benchmark to compare the recursive model. The relative abundance of rumen microbes (RA), methane concentration (CH4) and the host genetics was used as a case of study. D

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Kotorri, Mrika, Besnik A. Krasniqi, and Marina Dabic. "Migration, Remittances, and Entrepreneurship: A Seemingly Unrelated Bivariate Probit Approach." Remittances Review 5, no. 1 (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

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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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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 (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 (1985): 71. http://dx.doi.org/10.2307/2526528.

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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 (1997): 203–8. http://dx.doi.org/10.1016/s0165-1765(97)00025-6.

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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 dem

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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 (2008): 271–82. http://dx.doi.org/10.1111/j.1468-0084.2007.00486.x.

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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 (2007): 1100–1114. http://dx.doi.org/10.1016/j.jeconom.2007.01.012.

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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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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 (2013): 23–43. http://dx.doi.org/10.1002/bimj.201200161.

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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 (1994): 350–67. http://dx.doi.org/10.1006/ssre.1994.1014.

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