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87 records from EconBiz based on author Name
1. The impact of a possible trump reelection on Mexican immigration pressures in alternative countries
abstractWe address the question of the impact of a possible Trump reelection on the location choices of potential Mexican migrants. We use migration aspiration data from the Gallup World Poll Surveys which provide the preferred location choices of Mexican respondents before, during and after the Trump Presidency. We show that Trump presidency led to an increase in disapproval rates about the US leadership among Mexican respondents, which in turn led to a reduced level of attractiveness of the US location. Using a Cross-Nested Logit model that allows to account for the heterogeneity in the substitution patterns between alternative locations to the US, we simulate the impact of a possible reelection of Donald Trump based on different scenarios about these dis-approval rates. We find that such a reelection would lead to an increase in the number of stayers in Mexico but would also create heterogeneous immigration pressures from Mexico across potential foreign locations. In particular, countries such as Canada, the UK, Germany, Spain, and France would face significantly higher increases in Mexican immigration pressures. We also show that the reelection of Donald Trump would lower the skill content of Mexican potential immigrants in the US and would induce an opposite effect in destinations that are perceived as close substitutes.
Beine, Michel; Bierlaire, Michel; Paschalidis, Evangelos; Varotto, Silvia; Vortisch, Andreas B.;2024
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability:
Link Link 2. The Impact of a Possible Trump Reelection on Mexican Immigration Pressures in Alternative Countries
Beine, Michel; Bierlaire, Michel; Paschalidis, Evangelos; Varotto, Silvia; Vortisch, Andreas B.;2024
Type: Working Paper;
Availability:
3. Measuring and modeling time use patterns in Switzerland
Winkler, Caroline; Axhausen, Kay W.; Bierlaire, Michel; Ahrend, C.;2024
Type: Hochschulschrift; Aufsatzsammlung; Beiträge
Availability:
Link Link Link 4. New York, Abu Dhabi, London or Stay at Home? : using a cross-nested logit model to identify complex substitution patterns in migration
abstractThe question of how people revise their decisions about whether to emigrate, and where to, when facing changes in the global environment is of critical importance in migration literature. We propose a cross-nested logit (CNL) approach to generalize the way deviations from the IIA (independence from irrelevant alternatives)) hypothesis can be tested and exploited in migration studies. Compared with the widely used logit model, the structure of a CNL model allows for more sophisticated substitution patterns between destinations. To illustrate the relevance of our approach, we provide a case study using migration aspiration data from India. We demonstrate that the CNL approach outperforms standard competing approaches in terms of quality of fit, has stronger predictive power, implies stronger heterogeneity in responses to shocks, and highlights complex and intuitive substitution patterns between all possible alternatives. In particular, we shed light on the low degree of substitutability between the home and foreign alternatives as well as on the subgroups of countries that are considered by potential Indian movers as highly or poorly substitutable.
Beine, Michel; Bierlaire, Michel; Docquier, Frédéric;2021
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability:
Link Link 5. Vehicle sharing systems : a review and a holistic management framework
abstractAlthough different vehicle sharing systems (VSSs) use different vehicle types, the management challenges and optimization problems to be solved are similar or even the same. This observation led us to create a generalized and holistic VSS management framework, which aims to be applicable to the system using any vehicle type. The framework components, their mutual relationships, and framework tasks have been identified through a thorough and systematic literature review. Furthermore, the literature is positioned in the line with the framework. Finally, the framework and systematic literature review allowed us to identify gaps in the literature, and interesting research avenues.
Ataç, Selin; Obrenović, Nikola; Bierlaire, Michel;2021
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Citations: 16 (based on OpenCitations)
6. Unimodal Ordinal Logit : A Logit Model with a Utility-Correction Term Capturing Correlations from Ordinal Responses
abstractDiscrete variables that show a natural ordering across response levels are commonly analyzed based on data collected in surveys and in field observations. These variables follow a natural unimodal probability distribution, as the levels that are closer to the actual chosen level are more likely to have a higher correlation than the levels that are further away. However, conventional Ordered Logit (OL) models do not capture this mechanism and might result in a probability distribution that does not align with this natural ordering. This study develops an Unimodal Ordered Logit (UOL) model to account for the unimodal probability mass distribution of ordered responses. A correction term is included into the utility function of a logit model to impose an unimodal constraint and capture the monotonically decreasing order of the responses. The UOL model is applied to predict the likelihood that respondents will participate in different COVID-19 measures based on a survey dataset. The estimated models are compared based on the final log likelihood and three accuracy metrics that account for probability variance and ordinal distances. The results showed that the UOL models improves goodness of fit and predictive accuracy on the validation samples compared to the OL model when the underlying prior is unimodal
Wong, Melvin; Varotto, Silvia; Bierlaire, Michel;2022
Availability: Link Link
7. New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration
abstractWe propose a cross-nested logit (CNL) approach to address the question of how people revise their migration decisions when facing changes in the global environment. Compared with the popular logit model, the CNL allows for more sophisticated substitution patterns between destinations. Using migration aspiration data from India, we show that the CNL approach outperforms competing approaches in terms of quality of fit and predictive power, implies stronger heterogeneity in responses to shocks, and highlights complex and intuitive substitution patterns. We document the low degree of substitutability between the home and foreign alternatives as well as within subgroups of particular countries. This approach allows to capture spillover effects of a given immigration policy on immigration pressures faced by other countries of destination
Beine, Michel; Bierlaire, Michel; Docquier, Frédéric;2022
Availability: Link Link
8. A Lagrangian decomposition scheme for choice-based optimization
Pacheco Paneque, Meritxell; Gendron, Bernard; Azadeh, Shadi Sharif; Bierlaire, Michel;2022
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link
9. New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration
Beine, Michel; Bierlaire, Michel; Docquier, Frédéric;2021
Type: Working Paper;
Availability:
10. New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex
abstractThe question of how people revise their decisions about whether to emigrate, and where to, when facing changes in the global environment is of critical importance in migration literature. We propose a cross-nested logit (CNL) approach to generalize the way deviations from the IIA (independence from irrelevant alternatives)) hypothesis can be tested and exploited in migration studies. Compared with the widely used logit model, the structure of a CNL model allows for more sophisticated substitution patterns between destinations. To illustrate the relevance of our approach, we provide a case study using migration aspiration data from India. We demonstrate that the CNL approach outperforms standard competing approaches in terms of quality of fit, has stronger predictive power, implies stronger heterogeneity in responses to shocks, and highlights complex and intuitive substitution patterns between all possible alternatives. In particular, we shed light on the low degree of substitutability between the home and foreign alternatives as well as on the subgroups of countries that are considered by potential Indian movers as highly or poorly substitutable
Beine, Michel A. R.; Bierlaire, Michel; Docquier, Frédéric;2021
Availability: Link Link