2010年-世界发展银行全球_Assessing_Poverty_and_Distributional_Impacts_of_the_Global_Crisis_in_the_Philippines___A_Microsimulation_Approach_35页_1mb

Summary of "Assessing Poverty and Distributional Impacts of the Global Crisis in the Philippines: A Microsimulation Approach"

Core Content

This paper assesses the poverty and distributional impacts of the global financial crisis in the Philippines using a microsimulation approach. Given the lack of real-time data, the analysis is conducted ex ante, relying on pre-crisis micro data and macroeconomic projections to simulate the effects of the crisis on household income and consumption. The study aims to help policymakers identify leading indicators and design targeted policies to protect vulnerable groups.

Main Points

• Poverty Trends: The Philippines experienced a reduction in poverty from 1985 to 2003, but recent data shows an increase in poverty levels, consistent with official estimates. Between 2003 and 2006, the $1.25/day poverty rate rose from 22.0% to 22.6%, and the official estimate increased from 30.0% to 32.9%.

• Regional and Urban-Rural Disparities: Poverty rates vary significantly across regions and between urban and rural areas. In 2006, rural poverty was 46%, while urban poverty was around 20%. The NCR had a poverty rate of 10%, while Mindanao had a rate of 47%.

• Macroeconomic Impact: The crisis is expected to significantly reduce GDP growth in 2009 and 2010, with a 3.3 and 1.9 percentage point decrease respectively compared to the benchmark scenario. The manufacturing sector is the most affected, with a 10.2 percentage point drop in output growth in 2009. Services and other industries are also impacted, though to a lesser extent.

• Remittances: Remittances from Overseas Filipino Workers (OFWs) are an important source of income for many Filipino households. Despite the crisis, remittances are expected to slightly increase, though the growth is less than in the absence of the crisis.

• Labor Market Dynamics: The crisis is likely to lead to reduced employment and lower wages, especially in the formal sector. The paper highlights the importance of labor market behavior in understanding the crisis's impact.

Key Findings

• Income Shocks: Income shocks are most pronounced in the middle part of the income distribution, with significant effects on both the level and depth of poverty.

• Vulnerable Groups: Individuals who become poor due to the crisis differ in characteristics from those who are chronically poor and the general population. These differences are important for targeted policy design.

• Modeling Approach: The study uses a microsimulation model that combines macroeconomic projections with pre-crisis micro data to simulate the distributional effects of the crisis on households. The model accounts for labor and non-labor income, including international remittances, and uses a structured approach to simulate employment and income changes.

• Simulation Steps:

  1. Calibration: Models labor force status and earnings based on household and labor force survey data.
  2. Simulation: Projects changes in employment and income across sectors and regions, using a step-by-step process to adjust for demographic changes and reassign individuals based on projected shifts in employment.
  3. Assessment: Constructs income distributions and measures poverty and inequality across crisis and benchmark scenarios.

Methodology Highlights

• Labor Force Status Model: Uses multinomial logit to estimate the probability of individuals being in different labor states (employed, unemployed, out of the labor force) based on household and individual characteristics.

• Earnings Model: Applies a Mincerian OLS regression to estimate earnings based on individual and job characteristics, with adjustments for unobserved heterogeneity.

• Remittance Allocation: Uses a non-parametric assignment rule to distribute remittances across regions and households, maintaining the regional distribution from 2006.

• Non-Labor Income: Assumes that capital and financial income grow with GDP, public transfers remain constant, and domestic remittances change at the same rate as labor income.

Implications for Policy

• The findings provide valuable insights into the distributional effects of macroeconomic shocks.
• Policymakers can use these results to identify vulnerable groups and design policies that mitigate the negative impacts of the crisis.
• The study emphasizes the importance of ex ante analysis and the need for detailed micro and macro data to accurately assess poverty and distributional impacts.

Conclusion

The paper concludes that the crisis has significant poverty and distributional effects in the Philippines, particularly in the manufacturing sector. The microsimulation approach allows for a more nuanced understanding of these impacts, which is essential for effective policy design. The results highlight the need for monitoring and adjusting policies to protect vulnerable groups and ensure equitable growth.