{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

In chile the wage subsidy is targeted at the youth

Info icon This preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: t, however the same is not true in the case of extreme poverty. Table A3.2: Poverty Elasticities using Splines (median regression) Extreme Poverty Moderate Poverty Full Without Argentina Full Without Argentina d_lngdppc: (.,0) ‐3.721*** ‐1.794*** ‐1.671*** ‐0.932*** (0.000) (0.011) (0.026) (0.000) d_lngdppc: (0,.) ‐2.559*** ‐3.578*** ‐1.916*** ‐2.020*** (0.000) (0.008) (0.021) (0.000) d_lngini3 ‐0.019*** ‐0.013*** ‐0.008*** ‐0.006*** (0.000) (0.000) (0.000) (0.000) Year ‐0.002*** ‐0.002*** 0.002*** 0.002*** (0.000) (0.000) (0.000) (0.000) Constant 3.346*** 4.306*** ‐3.775*** ‐3.152*** (0.000) (0.054) (0.140) (0.000) Obs. (unweighted) 107 102 96 91 Note: clustered standard errors; population weighted. Inference: * p<0.05, ** p<0.01, *** p<0.001 Annex 4. Estimates of Poverty Impact Using POVCALNET data and Elasticities calculated using POVCALNET data This annex presents tables similar to tables 5 and 6 in the text, but using POVCALNET data and elasticities calculated from POVCALNET data instead of the SEDLAC data and elasticities calculated from the SEDLAC data (Table A6.1). For this case moderate poverty corresponds to PPP $4 a day and extreme poverty corresponds to PPP $2 a day. The estimated impacts are lower than in the case of the estimates based on the SEDLAC data. This is due to lower estimated elasticities. It is probably the case that calculating poverty changes over a longer period results in less sensitivity to changes in per capita GDP. Table A4.1 Elasticities of Changes in Poverty Measure with changes in per capita GDP Poverty Line Region GDP per capita P value $ 2 a day PPP LAC ‐1.37 0.044 World ‐1.37 0.000 $ 4 a day PPP LAC ‐0.96 0.001 World ‐0.14 0.708 Note: (*) SEDLAC data; std errors clustered at country level; population weighted point estimates; controls: Log(Gini) and time trend. 77 Table A4.2. Poverty Impact of Slowdown in 2009 (4 US dollars a day PPP) Consensus Forecast for Latin America and the Caribbean* Mean Pessimistic Optimistic (4 US dollars a day PPP) Absolute change in incidence (pp) 0.31 0.58 ‐0.07 Percentage change in incidence (%) 2.40% 4.42% ‐0.55% Absolute change in number of poor (,000) 3,990.02 5,489.36 1,801.88 Percentage change number of poor (%) 2.20% 3.03% 0.99% (2 US dollars a day PPP) Absolute change in incidence (pp) 0.13 0.26 ‐0.08 Percentage change in incidence (%) 0.99% 1.99% ‐0.59% Absolute change in number of poor (,000) 1,631.77 2,370.05 453.30 Percentage change number of poor (%) 2.23% 3.23% 0.62% 78 Annex 5. GDP Growth Forecasts used in estimating the Poverty Impact of the Worldwide Recession 2007 * 2008 * Table A5.1 GDP Growth WB GDP WB GDP Growth Growth Forecast Forecasts 2009** 2009 ** (from (from WB IMF Forecasts WB GEP GEP 2009 2008) 2009) 4.70% 1.50% 0.00% 4.20% 3.58% 4.00% 4.50% 2.83% 1.80% 5.00% 3.45% 2.20% 4.80% 2.64% 2.00% 4.90% 3.92% 1.00% LAC Consensus Forecasts*** Mean Pessimistic Opptimistic Argentina 8.70% 6.60% ‐0.69% ‐3.80% 2.10% Bo...
View Full Document

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern