Narrow search
Showing 1 - 10 of 7,053
Cover Image
A bayesian approach to model-based clustering for panel probit models
Aßmann, Christian; Boysen-Hogrefe, Jens - 2009
latent heterogeneity for panel probit models. Within a Bayesian framework an estimation algorithm dealing with the inherent …
Persistent link: https://www.econbiz.de/10010298828
Cover Image
Forecasting with a panel Tobit model
Liu, Laura; Moon, Hyungsik Roger; Schorfheide, Frank - In: Quantitative Economics 14 (2023) 1, pp. 117-159
We use a dynamic panel Tobit model with heteroskedasticity to generate forecasts for a large cross-section of short …
Persistent link: https://www.econbiz.de/10014536986
Cover Image
Minimum wage and employment: Escaping the parametric straitjacket
Cabras, Stefano; Fidrmuc, Jan; de Dios Tena Horrillo, Juan - 2016
Parametric regression models are often not flexible enough to capture the true relationships as they tend to rely on arbitrary identification assumptions. Using the UK Labor Force Survey, the authors estimate the causal effect of national minimum wage (NMW) increases on the probability of job...
Persistent link: https://www.econbiz.de/10011460743
Cover Image
Minimum wage and employment: Escaping the parametric straitjacket
Cabras, Stefano; Fidrmuc, Jan; de Dios Tena Horrillo, Juan - In: Economics: The Open-Access, Open-Assessment E-Journal 11 (2017) 2017-15, pp. 1-20
Parametric regression models are often not flexible enough to capture the true relationships as they tend to rely on arbitrary identification assumptions. Using the UK Labor Force Survey, the authors estimate the causal effect of national minimum wage (NMW) increases on the probability of job...
Persistent link: https://www.econbiz.de/10011657665
Cover Image
Infections, Accidents and Nursing Overtime in a Neonatal Intensive Care Unit: A Bayesian Semiparametric Panel Data Logit Model
Beltempo, Marc; Bresson, Georges; Etienne, Jean-Michel; … - 2020
using a sample of 3,979 neonates which represents over 84,846 observations (infant/days). We use a semiparametric panel data …
Persistent link: https://www.econbiz.de/10012207727
Cover Image
Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU
Beltempo, Marc; Bresson, Georges; Lacroix, Guy - 2020
Background: Adult studies have shown that nursing overtime and unit overcrowding is associated with increased adverse patient events but there exists little evidence for the Neonatal Intensive Care Unit (NICU). Objectives: To predict the onset on nosocomial infections and medical accidents in a...
Persistent link: https://www.econbiz.de/10012207780
Cover Image
A Bayesian mixed logit-probit model for multinomial choice
Burda, Martin; Harding, Matthew; Hausman, Jerry - 2008
choices of a panel of Houston households whose shopping behavior was observed over a 24-month period in years 2004-2005. We …
Persistent link: https://www.econbiz.de/10010288443
Cover Image
The weak instrument problem of the system GMM estimator in dynamic panel data models
Bun, Maurice; Windmeijer, Frank - 2007
The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences … model in terms of bias and root mean squared error. However, we show in this paper that in the covariance stationary panel … results are shown in a Monte Carlo study to extend to the panel data system GMM estimator. …
Persistent link: https://www.econbiz.de/10010318586
Cover Image
GM estimation of higher order spatial autoregressive processes in panel data error component models
Badinger, Harald; Egger, Peter - 2008
panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial …
Persistent link: https://www.econbiz.de/10010264361
Cover Image
Estimation of higher-order spatial autoregressive panel data error component models
Badinger, Harald; Egger, Peter - 2009
This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial …
Persistent link: https://www.econbiz.de/10010264566