نتایج جستجو برای: multinomial probit
تعداد نتایج: 11221 فیلتر نتایج به سال:
An increasing number of companies engage in the customization products to reap benefits increased sales and potential charge higher prices. Online configurators, which allow customers assemble “customized” versions a product, play an important role customization. In particular, they help learn about user preferences generate reliable forecasts. Therefore, menu-based choice experiments have gain...
This paper estimates the added worker effect and discouraged for young people in metropolitan Brazil. Its main contribution is to reveal how transition unemployment by household head impacts labor supply among youth, considering demographic changes – especially size composition of family arrangements that Brazil has undergone recent decades. We designed multinomial probit models (with without c...
Abstract According to the 2017 Global Financial Inclusion (Global Findex) database, average penetration rate of mobile money accounts in East Africa is higher than that WAEMU. This study attempts understand factors driving adoption and use financial services WAEMU compared Africa. To achieve this, micro-level data from Findex database are used perform probit multinomial logit estimations. The f...
BACKGROUND Physician-induced demand (PID) is an important theory to test given the longstanding controversy surrounding it. Empirical health economists have been challenged to find natural experiments to test the theory because PID is tantamount to strong income effects. The data requirements are both a strong exogenous change in income and two types of treatment that are substitutes but have d...
As noninvasive sampling techniques for animal populations have become more popular, there has been increasing interest in the development of capture-recapture models that can accommodate both imperfect detection and misidentification of individuals (e.g., due to genotyping error). However, current methods do not allow for individual variation in parameters, such as detection or survival probabi...
Geographically weighted regression (GWR) enjoys wide application in regional science, thanks to its relatively straightforward formulation and explicit treatment of spatial effects. However, its application to discrete-response data sets and land use change at the level of urban parcels has remained a novelty. This work combines logit specifications with GWR techniques to anticipate five catego...
The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the 'treatment') on a binary health outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non-normal dependence using copulas. In an application of the copula bivariate probit model to the effect of ...
This paper investigates immigrant assortative mating and relationship satisfaction. Using a modifi ed random eff ects ordered probit model, the paper demonstrates that spouses of mixed couples are signifi cantly less satisfi ed with their partner than nativeonly and foreign-only couples. JEL Classifi cation: F22, I31
The purpose of the study is to understand the profile (if any) of the typical Prosecco wine consumer, for both Controlled Denomination of Origin (CDO) and Controlled and Guaranteed Denomination of Origin (CGDO) types, with a twofold objective. First, the study aims at contributing to the economics literature dealing with opening the “black box of preferences” and understanding consumers’ behavi...
In certain statistical process control applications, quality of a process or product can be characterized by a function between response variable and one or more independent variables. This function commonly referred to as profile. Response variable can be continuous or discrete. All of the research assumes that the response variable is continuous. Whereas, some of the potential applications of...
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