| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function |
0 |
0 |
0 |
135 |
0 |
1 |
16 |
339 |
| A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function |
0 |
0 |
0 |
78 |
0 |
0 |
20 |
295 |
| A UNIFIED APPROACH TO SENSITIVITY ANALYSIS IN EQUILIBRIUM DISPLACEMENT MODELS: COMMENT |
0 |
0 |
0 |
42 |
0 |
1 |
8 |
197 |
| A panel data analysis of hospital variations in length of stay for hip replacements: Private versus public |
0 |
0 |
0 |
34 |
0 |
1 |
11 |
87 |
| A structural equation model of adverse events and length of stay in hospitals |
0 |
0 |
0 |
115 |
0 |
1 |
13 |
352 |
| Adverse events in surgical inpatients: A comparative analysis of public hospitals in Victoria |
0 |
0 |
0 |
30 |
1 |
1 |
12 |
125 |
| Alcohol Consumption in Australia: An Application of the Ordered Generalised Extreme Value Model |
0 |
0 |
0 |
270 |
5 |
6 |
17 |
1,585 |
| An Equilibrium Displacement Model of the Australian Beef Industry |
1 |
1 |
2 |
264 |
2 |
4 |
23 |
884 |
| An Equilibrium Displacement Model of the Australian Sheep and Wool Industries |
0 |
0 |
1 |
60 |
0 |
0 |
12 |
268 |
| Binary Outcomes, OLS, 2SLS and IV Probit |
0 |
0 |
1 |
26 |
1 |
4 |
25 |
132 |
| Binge Drinking, Antisocial and Unlawful Behaviours, and Beverage Types |
0 |
0 |
0 |
36 |
0 |
1 |
8 |
105 |
| Bootstrap Hausdorff Confidence Regions for Average Treatment Effect Identified Sets |
0 |
0 |
0 |
10 |
0 |
2 |
18 |
38 |
| Composition of the National Sheep Flock and Specification of Equilibrium Prices and Quantities for the Australian Sheep and Wool Industries, 2002-03 to 2004-05 |
0 |
0 |
0 |
16 |
1 |
1 |
10 |
106 |
| Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects |
0 |
0 |
0 |
11 |
2 |
3 |
17 |
32 |
| Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects |
0 |
0 |
0 |
5 |
1 |
2 |
15 |
94 |
| Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects |
0 |
0 |
0 |
32 |
1 |
1 |
19 |
36 |
| Difference-in-Differences with Sample Selection |
0 |
1 |
6 |
25 |
1 |
4 |
26 |
45 |
| Distribution of Gains from Cattle Development in a Multi-Stage Production System: The Case of the Bali Beef Industry |
0 |
0 |
0 |
6 |
2 |
2 |
7 |
82 |
| Drugs as a Rational Choice: Preliminary Explorations of Marijuana Consumption in Australia |
0 |
0 |
0 |
53 |
0 |
0 |
9 |
224 |
| Econometric Modelling of Price Response by Alcohol Types to Inform Alcohol Tax Policies |
0 |
1 |
2 |
130 |
1 |
4 |
18 |
374 |
| Econometric Modelling of Social Bads |
0 |
0 |
0 |
102 |
0 |
0 |
15 |
322 |
| Economic Aspects of Marijuana |
0 |
0 |
0 |
302 |
0 |
0 |
8 |
1,428 |
| Economic Evaluation of New Technologies and Promotions in the Australian Sheep and Wool Industries |
0 |
0 |
0 |
11 |
1 |
4 |
12 |
121 |
| Economic Surplus Measurement in Multi-Market Models |
0 |
0 |
1 |
126 |
3 |
3 |
18 |
454 |
| Functional Forms and Economic Surplus Changes |
0 |
0 |
1 |
3 |
0 |
0 |
5 |
29 |
| Heterogeneity in Alcohol Consumption: The Case of Beer, Wine and Spirits in Australia |
0 |
0 |
0 |
65 |
6 |
6 |
18 |
239 |
| Ill-health and transitions to part-time work and self-employment among older workers |
0 |
0 |
1 |
126 |
1 |
6 |
24 |
396 |
| Impact of Private Health Insurance on the Choice of Public versus Private Hospital Services |
0 |
0 |
1 |
189 |
3 |
4 |
28 |
845 |
| Jumps Versus Bursts: Dissection and Origins via a New Endogenous Thresholding Approach |
0 |
1 |
1 |
15 |
2 |
5 |
31 |
50 |
| Modelling Tobacco Consumption with a Zero-Inflated Ordered Probit Model |
0 |
0 |
0 |
488 |
2 |
2 |
11 |
1,156 |
| Modelling Tobacco Consumption with a Zero-Inflated Ordered Probit Model |
0 |
0 |
0 |
9 |
1 |
2 |
17 |
1,300 |
| Multi-Output Broadacre Agricultural Production: Estimating A Cost Function Using Quasi-Micro Farm Level Data From Australia |
1 |
1 |
1 |
128 |
2 |
5 |
16 |
468 |
| Occupational Transition and Country-of-Origin Effects in the Early Stage Occupational Assimilation of Immigrants: Some Evidence from Australia |
0 |
0 |
0 |
50 |
0 |
0 |
6 |
231 |
| Partial Identification of Distributional Treatment Effects in Panel Data using Copula Equality Assumptions |
0 |
0 |
0 |
3 |
1 |
1 |
12 |
21 |
| Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps |
0 |
0 |
0 |
7 |
1 |
1 |
15 |
24 |
| Returns to New Technologies in the Australian Beef Industry: On-farm Research versus Off-farm Research |
0 |
0 |
0 |
14 |
1 |
1 |
7 |
102 |
| Some Practical Issues in Economic Surplus Measurement in Multi-Market Models |
0 |
0 |
0 |
19 |
3 |
3 |
7 |
135 |
| The Bivariate Probit Model, Maximum Likelihood Estimation, Pseudo True Parameters and Partial Identification |
0 |
0 |
0 |
89 |
1 |
2 |
19 |
248 |
| The Competitive Structure of the Australian Meat and Livestock Industries |
0 |
0 |
0 |
3 |
1 |
1 |
7 |
30 |
| The Demand for Vice: Inter-Commodity Interactions with Uncertainty |
0 |
0 |
0 |
41 |
0 |
0 |
15 |
250 |
| The Demand for Vice: Inter-Commodity Interactions with Uncertainty |
0 |
0 |
0 |
42 |
0 |
0 |
5 |
210 |
| The Distribution of Gains from Cattle Development in a Multi-Stage Production System: The Case of the Bali Beef Industry |
0 |
0 |
0 |
12 |
0 |
0 |
5 |
113 |
| The Econometric Specification of Input Demand Systems Implied by Cost Function Representations |
0 |
0 |
0 |
82 |
1 |
1 |
14 |
244 |
| The Economic Incidence of R&D and Promotion Investments in the Australian Beef Industry |
0 |
0 |
0 |
66 |
1 |
2 |
8 |
430 |
| The dynamics of health and labour market transitions at older ages: evidence from a multi-state model |
0 |
0 |
0 |
86 |
1 |
1 |
14 |
162 |
| Weak Identification in Discrete Choice Models |
0 |
0 |
0 |
16 |
2 |
3 |
12 |
33 |
| Weak Identification in Discrete Choice Models |
0 |
1 |
1 |
19 |
2 |
3 |
17 |
79 |
| What Do the Bingers Drink? Micro-unit Evidence on Negative Externalities and Drinker Characteristics of Alcohol Consumption by Beverage Types |
0 |
0 |
1 |
22 |
0 |
0 |
13 |
185 |
| What Do the Bingers Drink? Microeconometric Evidence on Negative Externatilities of Alcohol Consumption by Beverage Types |
0 |
0 |
0 |
96 |
0 |
2 |
13 |
407 |
| Who Bears the Burden and Who Receives the Gain? - The Case of GWRDC R&D Investments in the Australian Grape and Wine Industry |
0 |
0 |
0 |
107 |
1 |
2 |
9 |
525 |
| Who Gains from Australian Generic Wine R&D and Promotion? |
0 |
0 |
0 |
10 |
1 |
1 |
12 |
103 |
| Who Gains from Australian Generic Wine R&D and Promotion? |
0 |
0 |
0 |
8 |
2 |
2 |
5 |
82 |
| Total Working Papers |
2 |
6 |
20 |
3,734 |
58 |
102 |
722 |
15,822 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Unified Approach to Sensitivity Analysis in Equilibrium Displacement Models: Comment |
0 |
0 |
0 |
26 |
0 |
1 |
11 |
170 |
| A panel data model of length of stay in hospitals for hip replacements |
0 |
0 |
0 |
7 |
0 |
1 |
5 |
22 |
| A zero-inflated ordered probit model, with an application to modelling tobacco consumption |
0 |
1 |
2 |
190 |
0 |
2 |
21 |
559 |
| Adverse event rates as measures of hospital performance |
0 |
0 |
0 |
15 |
0 |
1 |
5 |
93 |
| Ageing Workforces, Ill‐health and Multi‐state Labour Market Transitions |
0 |
0 |
0 |
5 |
1 |
1 |
12 |
31 |
| An ordered generalised extreme value model with application to alcohol consumption in Australia |
0 |
0 |
0 |
80 |
0 |
0 |
6 |
235 |
| Attack-resilient asynchronous state estimation of interval type-2 fuzzy systems under stochastic protocols |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
8 |
| Binary outcomes, OLS, 2SLS and IV probit |
0 |
0 |
6 |
14 |
2 |
4 |
37 |
81 |
| Binge Drinking and Antisocial and Unlawful Behaviours in Australia |
0 |
0 |
0 |
2 |
0 |
0 |
4 |
37 |
| Book reviews |
0 |
0 |
0 |
1 |
1 |
1 |
6 |
31 |
| Chronic diseases and labour force participation in Australia |
0 |
0 |
0 |
146 |
0 |
0 |
6 |
397 |
| Decriminalization and Marijuana Smoking Prevalence: Evidence From Australia |
1 |
1 |
1 |
94 |
1 |
4 |
10 |
298 |
| Deep Simple Epicotyl Morphophysiological Dormancy in Seeds of Endemic Chinese Helleborus thibetanus |
0 |
0 |
1 |
4 |
1 |
1 |
8 |
14 |
| Demand for Marijuana, Alcohol and Tobacco: Participation, Levels of Consumption and Cross‐equation Correlations |
0 |
0 |
0 |
121 |
0 |
0 |
9 |
595 |
| Disaggregated econometric estimation of consumer demand response by alcoholic beverage types |
0 |
0 |
0 |
1 |
1 |
4 |
9 |
37 |
| Disaggregated econometric estimation of consumer demand response by alcoholic beverage types |
0 |
0 |
0 |
4 |
2 |
3 |
14 |
41 |
| Equal Tax for Equal Alcohol? Beverage Types and Antisocial and Unlawful Behaviours |
0 |
0 |
0 |
3 |
1 |
2 |
11 |
22 |
| Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes |
0 |
0 |
0 |
11 |
0 |
0 |
9 |
70 |
| Exponential mean-square stability of the θ-method for neutral stochastic delay differential equations with jumps |
0 |
0 |
1 |
2 |
0 |
1 |
8 |
18 |
| Functional Forms, Exogenous Shifts, and Economic Surplus Changes |
0 |
0 |
2 |
16 |
1 |
1 |
10 |
66 |
| Health status and labour market outcome: Empirical evidence from Australia |
0 |
0 |
0 |
1 |
0 |
0 |
7 |
28 |
| Individual Heterogeneity in Alcohol Consumption: The Case of Beer, Wine and Spirits in Australia |
0 |
0 |
0 |
32 |
0 |
0 |
9 |
157 |
| LOVE OF VARIETY AND SCALE IMPLICATIONS: AN EMPIRICAL EVALUATION |
0 |
0 |
0 |
3 |
1 |
2 |
20 |
43 |
| Land Space and High-Speed Transportation Coordinated Development Evaluation in the Beijing–Tianjin–Hebei Urban Agglomeration of China |
0 |
0 |
0 |
0 |
0 |
0 |
9 |
10 |
| Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption |
0 |
0 |
0 |
2 |
1 |
1 |
12 |
34 |
| Occupational transition and country-of-origin effects in the early stage occupational assimilation of immigrants: some evidence from Australia |
0 |
0 |
0 |
15 |
0 |
0 |
6 |
127 |
| PATIENT SAFETY IN HOSPITALS – A BAYESIAN ANALYSIS OF UNOBSERVABLE HOSPITAL AND SPECIALTY LEVEL RISK FACTORS |
0 |
0 |
0 |
17 |
0 |
2 |
19 |
84 |
| Participation in marijuana, cocaine and heroin consumption in Australia: a multivariate probit approach |
0 |
0 |
1 |
81 |
1 |
2 |
18 |
268 |
| Potential returns to the Australian sheep and wool industries from effective R&D and promotion investments and their sensitivities to assumed elasticity values |
0 |
0 |
0 |
8 |
2 |
2 |
7 |
56 |
| Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry |
0 |
0 |
0 |
9 |
1 |
3 |
18 |
69 |
| Research Progress of the Impacts of Comprehensive Transportation Network on Territorial Spatial Development and Protection |
0 |
0 |
1 |
3 |
0 |
2 |
13 |
22 |
| Spatiotemporal of the Coupling Relationship between Ecosystem Services and Human Well-Being in Guanzhong Plain Urban Agglomeration |
0 |
0 |
0 |
1 |
0 |
0 |
10 |
11 |
| Testing the scale effect predicted by the Fujita-Krugman urbanization model |
0 |
0 |
0 |
69 |
0 |
1 |
11 |
219 |
| The Cost to the Bali Beef Industry of the October 2002 Terrorist Attack |
0 |
0 |
0 |
1 |
2 |
4 |
13 |
48 |
| The Demand for Alcohol, Tobacco and Marijuana: International Evidence ‐ by Saroja Selvanathan and Eliyathamby A. Selvanathan |
0 |
0 |
0 |
34 |
0 |
2 |
6 |
104 |
| The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification |
0 |
0 |
2 |
36 |
0 |
2 |
21 |
155 |
| The demand for marijuana, tobacco and alcohol: inter-commodity interactions with uncertainty |
0 |
0 |
1 |
38 |
0 |
0 |
9 |
202 |
| The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries |
0 |
1 |
2 |
9 |
0 |
3 |
17 |
46 |
| The incidence of gains and taxes associated with R&D and promotion in the Australian beef industry |
0 |
0 |
0 |
7 |
1 |
4 |
12 |
66 |
| What Do the Bingers Drink? Micro‐Unit Evidence on Negative Externalities and Drinker Characteristics of Alcohol Consumption by Beverage Types |
0 |
0 |
0 |
31 |
0 |
0 |
11 |
159 |
| Who bears the burden and who receives the gain?-The case of GWRDC R&D investments in the Australian grape and wine industry |
0 |
0 |
0 |
4 |
2 |
5 |
12 |
70 |
| Who gains from Australian generic wine promotion and R&D? |
0 |
0 |
0 |
3 |
2 |
3 |
16 |
85 |
| Who gains from Australian generic wine promotion and R&D? |
0 |
0 |
0 |
94 |
1 |
2 |
14 |
580 |
| Total Journal Articles |
1 |
3 |
20 |
1,240 |
25 |
67 |
499 |
5,468 |
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