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What is Probit Model

Chapter 11
Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
In statistics AU98: The URL http://en.wikipedia.org/wiki/Statistics has been redirected to https://en.wikipedia.org/wiki/Statistics. Please verify the URL. , a probit model is a type of regression AU99: The URL http://en.wikipedia.org/wiki/Regression_analysis has been redirected to https://en.wikipedia.org/wiki/Regression_analysis. Please verify the URL. where the dependent variable AU100: The URL http://en.wikipedia.org/wiki/Dependent_variable has been redirected to https://en.wikipedia.org/wiki/Dependent_variable. Please verify the URL. can only take two values, for example married or not married. The name is from probability + unit . The purpose of the model is to estimate the probability that an observation with particular characteristics will fall into a specific one of the categories; moreover, if estimated probabilities greater than 1/2 are treated as classifying an observation into a predicted category, the probit model is a type of binary classification AU101: The URL http://en.wikipedia.org/wiki/Binary_classification has been redirected to https://en.wikipedia.org/wiki/Binary_classification. Please verify the URL. model. A probit AU102: The URL http://en.wikipedia.org/wiki/Probit has been redirected to https://en.wikipedia.org/wiki/Probit. Please verify the URL. model is a popular specification for an ordinal or a binary response model AU103: The URL http://en.wikipedia.org/wiki/Binomial_regression has been redirected to https://en.wikipedia.org/wiki/Binomial_regression. Please verify the URL. . As such it treats the same set of problems as does logistic regression AU104: The URL http://en.wikipedia.org/wiki/Logistic_regression has been redirected to https://en.wikipedia.org/wiki/Logistic_regression. Please verify the URL. using similar techniques. The probit model, which employs a probit AU105: The URL http://en.wikipedia.org/wiki/Probit has been redirected to https://en.wikipedia.org/wiki/Probit. Please verify the URL. link function AU106: The URL http://en.wikipedia.org/wiki/Link_function has been redirected to https://en.wikipedia.org/wiki/Link_function. Please verify the URL. , is most often estimated using the standard maximum likelihood AU107: The URL http://en.wikipedia.org/wiki/Maximum_likelihood_estimation has been redirected to https://en.wikipedia.org/wiki/Maximum_likelihood_estimation. Please verify the URL. procedure, such an estimation being called a probit regression. Probit models were introduced by Chester Bliss AU108: The URL http://en.wikipedia.org/wiki/Chester_Ittner_Bliss has been redirected to https://en.wikipedia.org/wiki/Chester_Ittner_Bliss. Please verify the URL. in 1934; a fast method for computing maximum likelihood AU109: The URL http://en.wikipedia.org/wiki/Maximum_likelihood has been redirected to https://en.wikipedia.org/wiki/Maximum_likelihood. Please verify the URL. estimates for them was proposed by Ronald Fisher AU110: The URL http://en.wikipedia.org/wiki/Ronald_Fisher has been redirected to https://en.wikipedia.org/wiki/Ronald_Fisher. Please verify the URL. as an appendix to Bliss' work in 1935.
Published in Chapter:
KLR Approach as an Early Warning Indicator of Turkish Currency and Banking Crisis in 2000 and 2001
Filiz Eryılmaz (Uludağ University, Turkey)
Copyright: © 2016 |Pages: 18
DOI: 10.4018/978-1-4666-9484-2.ch011
Abstract
International organizations as private sector institutions started to develop Early Warning System [EWS] models aiming to anticipate whether and when individual countries can collide with a financial crisis. EWS models can be made most useful to help sustain global growth and maintain financial stability, especially in light of the lessons learned from the current and past crises. This paper proposes Early Warning Systems (EWS) for Turkish Currency and Banking Crisis in 2000 and 2001. To that end “KLR model” or “signaling window” approach developed by Kaminski, Lorezondo and Reinhart (1998) is testified in the empirical part of this research and applied to a sample of Turkey macroeconomic data for the 1998-2003 monthly periods.
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Chapter 7
Gender and Use of E-Government Services in Turkey: E-Government in Turkey
A non-linear regression model, estimated by maximum likelihood framework, where dependent variable takes only two values (i.e., zero or one).
Published in Chapter: Gender and Use of E-Government Services in Turkey: E-Government in Turkey; From: Gender Gaps and the Social Inclusion Movement in ICT
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Chapter 6
Immigration and Unemployment Nexus: A Micro-Level Investigation of Ugandan Youth
This is regression model in which the dependent variable is binary. This means dependent variable takes only two values such as “1” for unemployed, and “0” for employed.
Published in Chapter: Immigration and Unemployment Nexus: A Micro-Level Investigation of Ugandan Youth; From: Frameworks for Sustainable Development Goals to Manage Economic, Social, and Environmental Shocks and Disasters
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