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Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation Author info | Abstract | Publisher info | Download info | Related research | Statistics John Creedy
Guyonne Kalb () (The Treasury)
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The assumption behind discrete hours labour supply modelling is that utility-maximising individuals choose from a relatively small number of hours levels, rather than being able to vary hours worked continuously. Such models are becoming widely used in view of their substantial advantages, compared with a continuous hours approach, when estimating and their role in tax policy microsimulation. This paper provides an introduction to the basic analytics of discrete hours labour supply modelling. Special attention is given to model specification, maximum likelihood estimation and microsimulation of tax reforms. The analysis is at each stage illustrated by the use of numerical examples.
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Paper provided by New Zealand Treasury in its series Treasury Working Paper Series with number
03/20.
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Date of creation: Sep 2003Date of revision:
Handle: RePEc:nzt:nztwps:03/20Contact details of provider: Postal: New Zealand Treasury, PO Box 3724, Wellington, New Zealand Phone: +64-4-472 2733 Fax: +64-4-473 0982 Web page: http://www.treasury.govt.nz More information through EDIRC
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Keywords: Discrete hours labour supply multinomial logit maximum likelihood estimation microsimulation Other versions of this item:
Article Paper John Creedy & Guyonne Kalb & Rosanna Scutella, 2003.
"Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation ,"
Melbourne Institute Working Paper Series
wp2003n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
[Downloadable!] John Creedy & Guyonne Kalb, 2005.
"Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation ,"
Department of Economics - Working Papers Series
928, The University of Melbourne.
[Downloadable!] John Creedy & Guyonne Kalb, 2003.
"Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation ,"
Melbourne Institute Working Paper Series
wp2003n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
[Downloadable!] Find related papers by JEL classification: D10 - Microeconomics - - Household Behavior - - - General C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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