Causal inference in travel demand modeling (and the lack thereof)
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DOI: 10.1016/j.jocm.2017.12.001
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References listed on IDEAS
- Marsden, Greg & Docherty, Iain, 2013. "Insights on disruptions as opportunities for transport policy change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 46-55.
- Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
- Dagsvik, John K, 2017. "Invariance Axioms and Functional Form Restrictions in Structural Models," Memorandum 08/2017, Oslo University, Department of Economics.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010.
"The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics,"
Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," RatSWD Working Papers 142, German Data Forum (RatSWD).
- Joshua Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," NBER Working Papers 15794, National Bureau of Economic Research, Inc.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is taking the Con out of Econometrics," CEP Discussion Papers dp0976, Centre for Economic Performance, LSE.
- Angrist, Joshua D. & Pischke, Jörn-Steffen, 2010. "The credibility revolution in empirical economics: how better research design is taking the con out of econometrics," LSE Research Online Documents on Economics 48898, London School of Economics and Political Science, LSE Library.
- Angrist, Joshua & Pischke, Jörn-Steffen, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," IZA Discussion Papers 4800, Institute of Labor Economics (IZA).
- Keele, Luke, 2015. "The Statistics of Causal Inference: A View from Political Methodology," Political Analysis, Cambridge University Press, vol. 23(3), pages 313-335, July.
- Agyemang-Duah, Kwaku & Hall, Fred L., 1997. "Spatial transferability of an ordered response model of trip generation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(5), pages 389-402, September.
- Min Ding & Rajdeep Grewal & John Liechty, 2005. "Incentive-aligned conjoint analysis," Framed Field Experiments 00139, The Field Experiments Website.
- Brownstone, David & Bunch, David S. & Train, Kenneth, 2000.
"Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles,"
Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
- Brownstone, David & Bunch, David S & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," University of California Transportation Center, Working Papers qt45f996hh, University of California Transportation Center.
- Brownston, David & Bunch, David S. & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," University of California Transportation Center, Working Papers qt7rf7s3nx, University of California Transportation Center.
- Brownstone, David & Bunch, David S & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Department of Economics, Working Paper Series qt45f996hh, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- van der Laan Mark J., 2010. "Targeted Maximum Likelihood Based Causal Inference: Part I," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-45, February.
- Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
- Susan Athey & Guido W. Imbens, 2017.
"The State of Applied Econometrics: Causality and Policy Evaluation,"
Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
- Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
- Tikka, Santtu & Karvanen, Juha, 2017. "Identifying Causal Effects with the R Package causaleffect," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i12).
- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
- James J. Heckman, 2000.
"Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 45-97.
- James L. Heckman, 1999. "Causal Parameters and Policy Analysis in Economcs: A Twentieth Century Retrospective," NBER Working Papers 7333, National Bureau of Economic Research, Inc.
- LaLonde, Robert J, 1986.
"Evaluating the Econometric Evaluations of Training Programs with Experimental Data,"
American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
- Robert J. LaLonde, 1984. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," Working Papers 563, Princeton University, Department of Economics, Industrial Relations Section..
- van der Laan Mark J., 2010. "Targeted Maximum Likelihood Based Causal Inference: Part II," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-33, February.
- Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
- Andre Carrel & Raja Sengupta & Joan L. Walker, 2017. "The San Francisco Travel Quality Study: tracking trials and tribulations of a transit taker," Transportation, Springer, vol. 44(4), pages 643-679, July.
- Leamer, Edward E, 1983.
"Let's Take the Con Out of Econometrics,"
American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
- Edward E. Leamer, 1982. "Let's Take the Con Out of Econometrics," UCLA Economics Working Papers 239, UCLA Department of Economics.
- Steffen L. Lauritzen & Thomas S. Richardson, 2002. "Chain graph models and their causal interpretations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 321-348, August.
- Chung, Yi-Shih & Chiou, Yu-Chiun, 2017. "Willingness-to-pay for a bus fare reform: A contingent valuation approach with multiple bound dichotomous choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 289-304.
- McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
- Abdul Pinjari & Ram Pendyala & Chandra Bhat & Paul Waddell, 2011. "Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions," Transportation, Springer, vol. 38(6), pages 933-958, November.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2015. "The path from cause to effect: mastering 'metrics," CentrePiece - The magazine for economic performance 442, Centre for Economic Performance, LSE.
- Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
- Abbas, Khaled A. & Bell, Michael G. H., 1994. "System dynamics applicability to transportation modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(5), pages 373-390, September.
- Eleanor McDonnell Feit & Mark A. Beltramo & Fred M. Feinberg, 2010. "Reality Check: Combining Choice Experiments with Market Data to Estimate the Importance of Product Attributes," Management Science, INFORMS, vol. 56(5), pages 785-800, May.
- repec:bla:econom:v:47:y:1980:i:188:p:387-406 is not listed on IDEAS
- Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-313, June.
- repec:cup:cbooks:9780521885881 is not listed on IDEAS
- Leontief, Wassily, 1971. "Theoretical Assumptions and Nonobserved Facts," American Economic Review, American Economic Association, vol. 61(1), pages 1-7, March.
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- Robert Kölbl & Martin Kozek, 2021. "A physiological model of human mobility: A global study," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.
- Homolka, Lubor & Ngo, Vu Minh & Pavelková, Drahomíra & Le, Bach Tuan & Dehning, Bruce, 2020. "Short- and medium-term car registration forecasting based on selected macro and socio-economic indicators in European countries," Research in Transportation Economics, Elsevier, vol. 80(C).
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Keywords
Causal inference; Discrete choice; Travel demand; Interdisciplinary; Structural modeling;All these keywords.
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