Results 81 to 90 of about 23,934,423 (243)
Conditional heteroskedasticity in qualitative response models of time series: a Gibbs sampling approach to the bank prime rate [PDF]
Previous time series applications of qualitative response models have ignored features of the data, such as conditional heteroskedasticity, that are routinely addressed in time-series econometrics of financial data.
Michael Dueker
core
Yield-Curve Based Probit Models for Forecasting U.S. Recessions: Stability and Dynamics [PDF]
Recent research provides controversial evidence on the stability of yield-curve based binary probit models for forecasting U.S. recessions. This paper reviews so far applied specifications and presents new procedures for examining the stability of ...
Heikki Kauppi
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This paper focused on the effects of some sociodemographic factors on the decision of the consumer to purchase packed or unpacked fluid milk in Sivas, Turkey. The data were collected from 300 consumers by using face-to-face survey technique.
Meral Uzunöz, Y. Akçay
semanticscholar +1 more source
This study aims to compare household food security and its determinants among PSNP beneficiary, graduated, and non-beneficiary. Data was collected from 396 sample households using a structured questionnaire and key informant interview.
Yednekachew Merkeb +3 more
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Copula bivariate probit models: with an application to medical expenditures [PDF]
The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the "treatment") on a binary health outcome variable.
Rainer Winkelmann
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Early Warning Model and Currency Crisis in the Iranian Economy A Probit Approach [PDF]
Aim and Introduction In managed floating exchange rate systems, one of the important issues facing monetary policymakers is defining the exchange rate corridor and committing to it.
Mohammadjavad Khosrosereshki +1 more
doaj
Randomized Response and the Binary Probit Model [PDF]
The paper analyzes eects of randomized response with respect to some binary dependent variable on the estimation of the probit model. This approach is used in interviews when asking sensitive questions.
Gerd Ronning
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A Note on the Persistence of Firms' Innovation Behavior: A Dynamic Random Effect Probit Model Approach [PDF]
Is firms' innovation behavior persistent? Using both patent and R&D intensity as proxy variables of innovation and employing a new estimation method of the dynamic random effect probit model, this study finds a strong effect of state dependence after ...
Chia-Hui Huang
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Data Augmentation in the Bayesian Multivariate Probit Model [PDF]
This paper is concerned with the Bayesian estimation of a Multivariate Probit model. In particular, this paper provides an algorithm that obtains draws with low correlation much faster than a pure Gibbs sampling algorithm.
Roberto Leon Gonzalez
core +1 more source
Thequalitative scale of the dependent variable that being searced is frequentlyrun across fact. The Multinominal modelling techniques have been utilisedwhen dependent variable structure has more than two category level.Through these methods Multinominal Logit, Conditional Logit and NestedLogit models use logit link function structure.
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