Confidence intervals for policy reforms in behavioural tax microsimulation modelling

Bulletin of Economic Research

Volumn 59, Issue 1, 2007, Pages 37-65

  Creedy, John ^a   Kalb, Guyonne ^b   Kew, Hsein ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Confidence intervals; Labour supply; Microsimulation; Policy reforms

Indexed keywords

CONFIDENCE INTERVAL; LABOR SUPPLY; POLICY REFORM; SIMULATION; TAX REFORM;

EID: 33846394092     PISSN: 03073378     EISSN: 14678586     Source Type: Journal    
DOI: 10.1111/j.0307-3378.2007.00250.x     Document Type: Article

References (14)

1. Creedy, J. and Kalb, G. (2005). 'Discrete hours labour supply modelling: specification, estimation and simulation', Journal of Economic Surveys, 19 (5), pp. 697-734.
2. Creedy, J., Duncan, A. S., Harris, M. and Scutella, R. (2002). Microsimulation Modelling of Taxation and The Labour Market: The Melbourne Institute Tax and Transfer Simulator, Cheltenham: Edward Elgar.
3. Creedy, J., Kalb, G. and Kew, H. (2003). 'Flattening the effective marginal tax rate structure in Australia: Policy simulations using the Melbourne Institute Tax and Transfer Simulator', Australian Economic Review, 36, pp. 156-72.
4. Creedy, J., Kalb, G. and Kew, H. (2004). 'Confidence intervals for policy reforms in behavioural tax microsimulation modelling', Melbourne Institute Working Paper 32/04, Melbourne Institute of Applied Economic and Social Research, University of Melbourne.
5. Deville, J.-F. and Särndal, C.-E. (1992). 'Calibration estimators in survey sampling', Journal of the American Statistical Association, 87, pp. 376-82.
6. Greene, W. H. (1993). Econometric Analysis, 3rd edition, Upper Saddle. River NJ: Prentice Hall.
7. Kalb, G. (2002). 'Estimation of labour supply models for four separate groups in the Australian population', Melbourne Institute Working Paper 24/02, Melbourne Institute of Applied Economic and Social Research, University of Melbourne.
8. Keane, M. and Moffitt, R. (1998). 'A structural model of multiple welfare program participation and labor supply', International Economic Review, 39, pp. 553-89.
9. Klevmarken, N. A. (1998). 'Statistical inference in microsimulation models: Incorporating external information', Working Paper 1998:20, Uppsala University Department of Economics.
10. Maddala, G. S. (1983). Limited Dependent and Qualitative Variables in Econometrics, New York: Cambridge University Press.
11. Pudney, S. and Sutherland, H. (1994). 'How reliable are microsimulation results?', Journal of Public Economics, 53, pp. 327-65.
12. Pudney, S. and Sutherland, H. (1996). 'Statistical reliability in microsimulation models with econometrically-estimated behavioural responses', in Harding, A. (ed.), Microsimulation and Public Policy, pp. 473-503, Amsterdam: North-Holland.
13. Van Soest, A. (1995). 'Structural models of family labor supply: A discrete choice approach', Journal of Human Resources, 30, pp. 63-88.
14. Wolf, D. A. (2004). Book review of Microsimulation in Government Policy and Forecasting (2000), Gupta, A. and Kapur, V. (eds), Journal of Artificial Societies and Social Simulation, 7 (1), on website: http://jasss.soc.surrey.ac.uk/7/1/reviews/wolf.html.