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Trust and Contracting with Foreign Banks: Evidence from China
Desheng Yin, Iftekhar Hasan, Liuling Liu, Haizhi Wang
Journal of Asian Economics,
December
2022
Abstract
We empirically investigate whether firms doing business in regions characterized as having high social trust receive preferential treatment on loan contractual terms by foreign banks. Tracing cross-border syndicated lending activities in China, we document that firms located in provinces with higher social trust scores obtain significantly low costs of bank loans and experience less stringent collateral requirement. To address the potential endogeneity issues, we adopt an instrumental variable approach and a two-sided matching model, and report consistent results. We also estimate a system of three equations through three-stage-least square estimator to accommodate the joint determination of price and non-price terms in loan contracts. In addition, we find that the effect of social trust on cost of bank loans is more prominent for firms located in provinces with relatively less developed formal institutions.
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On the Employment Consequences of Automation and Offshoring: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
Lili Yan Ing, Gene M. Grossman (eds), Robots and AI: A New Economic Era. Routledge: London,
2022
Abstract
We argue that automation may make workers and firms more selective in matching their specialized skills and tasks. We call this phenomenon “core-biased technological change”, and wonder whether something similar could be relevant also for offshoring. Looking for evidence in occupational data for European industries, we find that automation increases workers’ and firms’ selectivity as captured by longer unemployment duration, less skill-task mismatch, and more concentration of specialized knowledge in specific tasks. This does not happen in the case of offshoring, though offshoring reinforces the effects of automation. We show that a labor market model with two-sided heterogeneity and search frictions can rationalize these empirical findings if automation strengthens while offshoring weakens the assortativity between workers’ skills and firms’ tasks in the production process, and automation and offshoring complement each other. Under these conditions, automation decreases employment and increases wage inequality whereas offshoring has opposite effects.
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College Choice, Selection, and Allocation Mechanisms: A Structural Empirical Analysis
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Quantitative Economics,
No. 3,
2019
Abstract
We use rich microeconomic data on performance and choices of students at college entry to analyze interactions between the selection mechanism, eliciting college preferences through exams, and the allocation mechanism. We set up a framework in which success probabilities and student preferences are shown to be identified from data on their choices and their exam grades under exclusion restrictions and support conditions. The counterfactuals we consider balance the severity of congestion and the quality of the match between schools and students. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students and among schools is also sizeable in all counterfactual experiments.
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College Choice and the Selection of Mechanisms: A Structural Empirical Analysis
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Abstract
We use rich microeconomic data on performance and choices of students at college entry to study the interaction between the revelation of college preferences through exams and the selection of allocation mechanisms. We propose a method in which preferences and expectations of students are identified from data on choices and multiple exam grades. Counterfactuals we consider balance costs arising from congestion and exam organization. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students or schools is sizeable in all counterfactual experiments.
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College Choice Allocation Mechanisms: Structural Estimates and Counterfactuals
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Abstract
We evaluate a simple allocation mechanism of students to majors at college entry that was commonly used in universities in Brazil in the 1990s and 2000s. Students first chose a single major and then took exams that select them in or out of the chosen major. The literature analyzing student placement, points out that this decentralized mechanism is not stable and is not strategy-proof. This means that some pairs of major & students can be made better off and that students tend to disguise their preferences using such a mechanism. We build up a model of performance and school choices in which expectations are carefully specified and we estimate it using cross-section data reporting choices between two medical schools and grade performances at the entry exams. Given those estimates, we evaluate changes in selection and students’ expected utilities when other mechanisms are implemented. Results highlight the importance of strategic motives and redistributive effects of changes of the allocation mechanisms.
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