2009年-世界发展银行全球_Moving_to_Opportunity___Successful_Integration_or_Bright_Lights__45页_531kb

Summary of "Moving to Opportunity: Successful Integration or Bright Lights?"

Core Content

The paper "Moving to Opportunity: Successful Integration or Bright Lights?" by Somik V. Lall, Christopher Timmins, and Shouyue Yu examines the causes and consequences of internal migration, particularly in the context of Brazil. It challenges the traditional view that migration is primarily driven by economic opportunities and highlights the significant role of public services in migration decisions.

Main Viewpoints

• Migration is not solely for economic gain: Many individuals, especially those from poorer and less educated backgrounds, migrate to access better public services such as healthcare, education, and infrastructure, even if it means accepting lower wages.
• Assimilation into urban labor markets is not guaranteed: Migrants, particularly the less educated, often face disadvantages in the labor market compared to non-migrants, indicating a failure to assimilate.
• Policies should focus on improving rural public services: Enhancing public services in lagging regions can reduce the need for migration and improve the chances of successful assimilation.
• Selection bias affects migration outcomes: Observed wage distributions among migrants may be distorted by the selection process, making it difficult to assess true labor market opportunities.

Key Information

1. Migration Motivations

• Migration is driven by both economic opportunities and public services.
• In many developing countries, public services are concentrated in urban areas, making them attractive to migrants.
• Non-pecuniary factors (e.g., access to piped water, healthcare, and education) play a crucial role in migration decisions.

2. Empirical Evidence from Brazil

• The study uses census data from Brazil to analyze migration patterns.
• Migrants from the Northeast region move not only for better jobs but also for better access to basic public services.
• Compensating wage differentials are observed, where migrants are willing to accept lower wages to access better services.
  • Example: A full-time minimum wage worker in Brazil was willing to pay Rs$390 per year for better health services, Rs$84 for better sewage, and Rs$42 for better electricity.

3. Methodology

• The paper develops a two-stage discrete choice model to estimate the ex ante wage distributions that migrants draw from when making migration decisions.
• A Roy model is used to account for selection bias and non-pecuniary amenities.
• The model includes migration costs, which are calculated based on distance from origin to destination.
• The logit scale parameter (μ) and non-pecuniary utility (δ) are estimated using a maximum likelihood procedure.
• Repeated cross-sectional data from two census years (1991 and 2000) are used to control for time-invariant unobserved local attributes.

4. Results

• Non-pecuniary factors significantly influence migration decisions.
• Lower-educated migrants are more sensitive to public service availability and transportation costs.
• Higher-educated migrants are more influenced by healthcare and electricity access.
• Selection bias can lead to an overestimation of wage returns for migrants, which may be mistaken for assimilation.
• Transportation costs to Sao Paulo have a positive and significant effect on migration utility, possibly reflecting low cost of living in those areas.

Structure of the Paper

• Section 1: Background and motivation – highlights the role of public services in migration.
• Section 2: Modeling the determinants of migration – presents a utility-based model that incorporates both pecuniary and non-pecuniary factors.
• Section 3: The Roy model and sorting based on idiosyncratic returns – explains how to account for selection bias and non-random sorting.
• Section 4: Results – provides empirical findings on how public services and amenities affect migration decisions and labor market outcomes.
• Section 5: Conclusion – emphasizes the importance of improving public services in origin regions and the need to understand the true motivations behind migration.

Policy Implications

• Improving human capital and public services in lagging regions can reduce the need for migration and enhance the chances of successful assimilation.
• Policies that restrict migration may not be effective and could even worsen urban productivity and livability.
• Empirical analysis is crucial for understanding migration dynamics and designing effective policies.

Conclusion

The paper concludes that migration decisions are influenced by a combination of economic opportunities and access to public services. By using a two-stage econometric model, it demonstrates that public services play a significant role in migration, especially for less educated individuals. Therefore, improving public services in rural and lagging regions is a more effective policy approach than restricting migration.