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  • Search: subject:"Heckman's two step estimator"
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Year of publication
Subject
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Heckman two-step estimator 2 censoring 2 demand analysis 2 selectivity 2 China Health and Nutrition Survey (CHNS) 1 Consumption theory 1 Demand 1 Estimation theory 1 Heckman two step estimator 1 Heckman two- step estimator 1 Heckman's two step estimator 1 Konsumtheorie 1 Nachfrage 1 Schätztheorie 1 average marginal effect 1 bivariate sample selection model 1 earnings assimilation 1 exposure to health risk 1 finite sample analysis 1 health care in China 1 health insurance 1 heteroskedasticity 1 marginal effect of the average individual 1 misspecification error 1 out-of-pocket health expenditure in China 1 sample selection models 1 semiparametric models 1 two-part model 1
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Online availability
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Free 5
Type of publication
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Book / Working Paper 5
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 4 Undetermined 1
Author
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Scasny, Milan 2 Smutna, Sarlota 2 Akay, Alpaslan 1 Isabel, Ana 1 Jung, Juergen 1 Liu, Jialu 1 Rodríguez Poo, Juan M. 1 Sainz, Fernández 1 Tsakas, Elias 1 Villanúa Martín, Inmaculada 1
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Institution
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Departamento de Economía Aplicada III (Econometría y Estadística), Facultad de Ciencias Económicas y Empresariales 1 Department of Economics, Towson University 1 Nationalekonomiska institutionen, Handelshögskolan 1
Published in...
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BILTOKI 1 IES Working Paper 1 IES working paper 1 Working Papers / Department of Economics, Towson University 1 Working Papers in Economics 1
Source
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RePEc 3 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 5 of 5
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Selectivity Problem in Demand Analysis: Single Equation Approach
Smutna, Sarlota; Scasny, Milan - 2017
This paper deals with a problem of censored data in the household demand analysis when budget survey data is used. Micro-data, in contrast with aggregated data, usually contains a significant portion of zero observations (no consumption recorded) that leads to censoring of data and potential...
Persistent link: https://www.econbiz.de/10011787310
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Cover Image
Selectivity problem in demand analysis : single equation approach
Smutna, Sarlota; Scasny, Milan - 2017
This paper deals with a problem of censored data in the household demand analysis when budget survey data is used. Micro-data, in contrast with aggregated data, usually contains a significant portion of zero observations (no consumption recorded) that leads to censoring of data and potential...
Persistent link: https://www.econbiz.de/10011729620
Saved in:
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Does Health Insurance Decrease Health Expenditure Risk in Developing Countries? The Case of China
Jung, Juergen; Liu, Jialu - Department of Economics, Towson University - 2011
We make use of panel data from the China Health and Nutrition Survey between 1991 and 2006 to investigate whether health insurance increases out-of-pocket (OOP) health expenditure risk. We find that health insurance increases the probability of catastrophic OOP health expenditures using a series...
Persistent link: https://www.econbiz.de/10009001292
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Second Order Approximation for the Average Marginal Effect of Heckman's Two Step Procedure
Akay, Alpaslan; Tsakas, Elias - Nationalekonomiska institutionen, Handelshögskolan - 2006
In this paper we discuss the differences between the average marginal effect and the marginal effect of the average individual in sample selection models, estimated by Heckman's two step procedure. We show that the bias that emerges as a consequence of interchanging them, could be very...
Persistent link: https://www.econbiz.de/10005651721
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Finite sample behavior of two step estimators in selection models
Rodríguez Poo, Juan M.; Sainz, Fernández; Isabel, Ana; … - Departamento de Economía Aplicada III (Econometría y … - 1999
The problem of specification errors in sample selection models has received considerable attention both theoretically and empirically. However, very few is known about the finite sample behavior of two step estimators. In this paper we investigate by simulations both bias and finite sample...
Persistent link: https://www.econbiz.de/10005187613
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