Censored Regression Models with Unobserved Stochastic Censoring Thresholds PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Censored Regression Models with Unobserved Stochastic Censoring Thresholds PDF full book. Access full book title Censored Regression Models with Unobserved Stochastic Censoring Thresholds by Forrest D. Nelson. Download full books in PDF and EPUB format.
Author: Forrest D. Nelson Publisher: ISBN: Category : Languages : en Pages : 23
Book Description
The "Tobit" model is a useful tool for estimation of regression models with a truncated or limited dependent variable, but it requires a threshold which is either a known constant or an observable and independent variable. The model presented here extends the Tobit model to the censored case where the threshold is an unobserved and not necessarily independent random variable. Maximum likelihood procedures can be employed for joint estimation of both the primary regression equation and the parameters of the distribution of that random threshold. The appropriate likelihood function is derived, the conditions necessary for identification are revealed, and the particular estimation difficulties are discussed. The model is illustrated by an application to the determination of a housewife's value of time
Author: Forrest D. Nelson Publisher: ISBN: Category : Languages : en Pages : 23
Book Description
The "Tobit" model is a useful tool for estimation of regression models with a truncated or limited dependent variable, but it requires a threshold which is either a known constant or an observable and independent variable. The model presented here extends the Tobit model to the censored case where the threshold is an unobserved and not necessarily independent random variable. Maximum likelihood procedures can be employed for joint estimation of both the primary regression equation and the parameters of the distribution of that random threshold. The appropriate likelihood function is derived, the conditions necessary for identification are revealed, and the particular estimation difficulties are discussed. The model is illustrated by an application to the determination of a housewife's value of time
Author: Richard Breen Publisher: SAGE ISBN: 9780803957107 Category : Mathematics Languages : en Pages : 92
Book Description
This book provides an introduction to the regression models needed, where an outcome variable for a sample is not representative of the population from which a generalized result is sought.
Book Description
This note illustrates that the typical parameter, beta, in a censored regression model can be used to calculate an interesting marginal effect even when the errors in the model and the explanatory variables are not independent. The result is relevant for cross sectional models such at the ones considered in Powell (1984), Powell (1986) and Chen and Khan (2000), as well as for panel data models such as the ones in Honore (1992) and Alan and Leth-Petersen (2006), and it applies with fixed as well as with random censoring.
Author: Jianguo Sun Publisher: Springer ISBN: 0387371192 Category : Mathematics Languages : en Pages : 310
Book Description
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.
Author: Wendelin Schnedler Publisher: Springer Science & Business Media ISBN: 3790827061 Category : Business & Economics Languages : en Pages : 165
Book Description
Since the fundamental work of Walras (1874), markets have received particular attention by economists because they lead to an efficient allocation of goods and services. However, the proper functioning of markets rests on certain assumptions. For instance, the good or ser vice which is to be traded must be clearly defined. This elementary requirement is often violated in reality, in particular when services are concerned. Consider the example of railway workers who are hired to lay tracks. A labour contract which stipulates a fixed wage and defines the workers' task as "laying tracks" is rather unspecific. Workers may profit from this vagueness by reducing effort to a comfortable amount -as long as tracks are laid, they do not violate contract conditions. Thus, an im precise definition of the service can result in inefficiently low efforts. An obvious solution to this problem is a clearer definition of the ser vice, but often this way is barred: To specify, for instance, all actions which are involved in laying tracks and which may vary with weather, surface and other conditions is far too complicated and too costly. In deed, labour contracts seldom give a detailed account of the task of a worker. Alternatively to a more precise task description, the wage of the worker could be conditioned on information about the worker's performance. For example, the railway workers might be paid by the length of tracks laid so that they are motivated to exert more effort.
Author: David M. Drukker Publisher: Emerald Group Publishing ISBN: 1780525257 Category : Business & Economics Languages : en Pages : 352
Book Description
Contains 16 chapters authored by specialists in the field, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; and, Consistent Estimation and Orthogonality.
Author: A. Colin Cameron Publisher: Cambridge University Press ISBN: 1139444867 Category : Business & Economics Languages : en Pages : 1058
Book Description
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.
Author: Forrest D. Nelson
Author: Forrest D. Nelson![On the Identification of the Censored Regression Model with a Stochastic and Unobserved Treshold [i.e. Threshold] PDF](https://books.google.com/books/content/images/frontcover/HHL2HAAACAAJ?fife=w80-h100)
Author: Geert Ridder
Author: Richard Breen
Author: Bo E. Honoré
Author: Jianguo Sun
Author: Vasilis Katsikiotis
Author: Wendelin Schnedler
Author: David M. Drukker
Author: Petros Ioannatos
Author: A. Colin Cameron