By Professor Denzil G Fiebig

Journal articles

Fiebig DG, 1981, 'A Bayesian analysis of inventory investment', Empirical Economics, 6, pp. 229 - 237, http://dx.doi.org/10.1007/BF02509793

Theil H; Fiebig D, 1981, 'A maximum entropy approach to the specification of distributed lags', Economics Letters, 7, pp. 339 - 342, http://dx.doi.org/10.1016/0165-1765(81)90040-9

Kapteyn A; Fiebig DG, 1981, 'When are two-stage and three-stage least squares estimators identical?', Economics Letters, 8, pp. 53 - 57, http://dx.doi.org/10.1016/0165-1765(81)90092-6

Fiebig DG, 1980, 'Maximum entropy canonical correlations', Economics Letters, 6, pp. 345 - 348, http://dx.doi.org/10.1016/0165-1765(80)90008-7

FIEBIG DG, 1980, 'The Causal Relationship Between Money and Income in Australia', Australian Economic Papers, 19, pp. 78 - 90, http://dx.doi.org/10.1111/j.1467-8454.1980.tb00244.x

Theil H; Fiebig D, 1980, 'The precision gain from additional predictions', Economics Letters, 5, pp. 59 - 61, http://dx.doi.org/10.1016/0165-1765(80)90111-1

Theil H; Fiebig D, 1979, 'The precision gain from adding an equation in joint linear estimation', Economics Letters, 4, pp. 257 - 259, http://dx.doi.org/10.1016/0165-1765(79)90145-9

Conference Papers

Fiebig D; Hall J, 2004, 'Discrete choice experiments in the analysis of health policy', in Quantitative Tools for Microeconomic Policy Analysis, Quantitative Tools for Microeconomic Policy Analysis, Canberra, pp. 119 - 136, presented at Quantitative Tools for Microeconomic Policy Analysis, Canberra, 17 November 2004 - 18 November 2004

Fiebig DG, 1999, 'Combining data for estimation of end-use energy demand', in NEW EQUILIBRIA IN THE ENERGY MARKETS: THE ROLE OF NEW REGIONS AND AREAS - VOL 2, CONFERENCE PROCEEDINGS, International Association for Energy Economics, ROME, ITALY, pp. 275 - 284, presented at Conference of the International-Association-for-Energy-Economics (IAEE), ROME, ITALY, 09 June 1999 - 12 June 1999

Working Papers

Gunawan D; carter C; Fiebig D; Kohn R, 2017, Efficient Bayesian estimation for flexible panel models for multivariate outcomes: Impact of life events on mental health and excessive alcohol consumption, http://dx.doi.org, http://arxiv.org/abs/1706.03953v3

Buchmueller TC; Fiebig D; Savage E; Jones G, 2008, Advantageous Selection in Private Health Insurance: The Case of Australia, CHERE, UTS, http://dx.doi.org

Preprints

Balnozan I; Fiebig DG; Asher A; Kohn R; Sisson SA, 2020, Hidden Group Time Profiles: Heterogeneous Drawdown Behaviours in Retirement, , http://arxiv.org/abs/2009.01505v2

Chin V; Gunawan D; Fiebig DG; Kohn R; Sisson SA, 2018, Efficient data augmentation for multivariate probit models with panel data: An application to general practitioner decision-making about contraceptives, , http://dx.doi.org/10.1111/rssc.12393

Gu Y; Fiebig DG; Cripps EJ; Kohn R, Bayesian Estimation of a Random Effects Heteroscedastic Probit Model, , http://dx.doi.org/10.2139/ssrn.1260140

Doiron D; Fiebig DG; Suziedelyte A, Hips and Hearts: The Variation in Incentive Effects of Insurance across Hospital Procedures, , http://dx.doi.org/10.2139/ssrn.2277354

Knox SA; Savage E; Fiebig DG; Salale V, Joiners and Leavers Stayers and Abstainers: Private Health Insurance Choices in Australia, , http://dx.doi.org/10.2139/ssrn.1052481

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