| Marijuana on main street? Estimating demand in markets with limited access L Jacobi, M Sovinsky American Economic Review 106 (8), 2009-2045, 2016 | 109 | 2016 |
| Bayesian fuzzy regression discontinuity analysis and returns to compulsory schooling S Chib, L Jacobi Journal of Applied Econometrics 31 (6), 1026-1047, 2016 | 44 | 2016 |
| Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave L Jacobi, H Wagner, S Frühwirth-Schnatter Journal of Econometrics 193 (1), 234-250, 2016 | 36 | 2016 |
| Modeling and calculating the effect of treatment at baseline from panel outcomes S Chib, L Jacobi Journal of Econometrics 140 (2), 781-801, 2007 | 28 | 2007 |
| Climbing the drug staircase: A bayesian analysis of the initiation of hard drug use AL Bretteville‐Jensen, L Jacobi Journal of Applied Econometrics 26 (7), 1157-1186, 2011 | 23 | 2011 |
| Study protocol: combining experimental methods, econometrics and simulation modelling to determine price elasticities for studying food taxes and subsidies (The Price ExaM Study) WE Waterlander, T Blakely, N Nghiem, CL Cleghorn, H Eyles, M Genc, ... BMC public health 16, 1-13, 2016 | 20 | 2016 |
| Automated sensitivity analysis for Bayesian inference via Markov chain Monte Carlo: Applications to Gibbs sampling L Jacobi, MS Joshi, D Zhu Available at SSRN 2984054, 2018 | 19* | 2018 |
| Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation JCC Chan, L Jacobi, D Zhu Journal of Forecasting 39 (6), 934-943, 2020 | 14 | 2020 |
| Analysis of treatment response data from eligibility designs S Chib, L Jacobi Journal of Econometrics 144 (2), 465-478, 2008 | 14 | 2008 |
| How sensitive are VAR forecasts to prior hyperparameters? An automated sensitivity analysis JCC Chan, L Jacobi, D Zhu Topics in Identification, Limited Dependent Variables, Partial Observability …, 2019 | 10 | 2019 |
| Food Price Elasticities for Policy Interventions: Estimates from a Virtual Supermarket Experiment in a Multistage Demand Analysis with (Expert) Prior Information L Jacobi, N Nghiem, A Ramírez‐Hassan, T Blakely Economic Record 97 (319), 457-490, 2021 | 7* | 2021 |
| Causal effects from panel data in randomized experiments with partial compliance S Chib, L Jacobi Bayesian Econometrics, 183-215, 2008 | 5 | 2008 |
| An automated prior robustness analysis in Bayesian model comparison JCC Chan, L Jacobi, D Zhu Journal of Applied Econometrics 37 (3), 583-602, 2022 | 3 | 2022 |
| An analysis of vectorised automatic differentiation for statistical applications CF Kwok, D Zhu, L Jacobi Available at SSRN 4054947, 2022 | 2 | 2022 |
| Factor-augmented Bayesian treatment effects models for panel outcomes H Wagner, S Frühwirth-Schnatter, L Jacobi arXiv preprint arXiv:2103.00977, 2021 | 2 | 2021 |
| Introduction to bayesian Econometrics L Jacobi Economic Record 85 (270), 364-366, 2009 | 1 | 2009 |
| Posterior Manifolds over Prior Parameter Regions: Beyond Pointwise Sensitivity Assessments for Posterior Statistics from MCMC Inference L Jacobi, CF Kwok, A Ramírez-Hassan, N Nghiem Studies in Nonlinear Dynamics & Econometrics 28 (2), 403-434, 2024 | | 2024 |
| More than Joints: Multi-Substance Use, Choice Limitations, and Policy Implications M Sovinsky, L Jacobi, A Allocca, T Sun Discussion Paper, 2023 | | 2023 |
| Beyond Local and Pointwise Prior Sensitivity: Assessing prior dependence in MCMC inference via posterior manifolds over prior parameter regions L Jacobi, CF Kwok, A Ramırez-Hassan, N Nghiem | | 2020 |
| The Price is (not) Right: Incorporating Unobserved Price Heterogeneity in Demand Models L Grigolon, L Jacobi, M Sovinsky | | 2020 |
