Unformatted text preview: we treat as exogenous (detailed below), l st − 4 is the stock of past land re-forms four periods previously and st is an error term which we model as AR(1) process where the degree of auto-correlation is state-speciFc, i.e., st = ρ s st − 1 + u st . Estimation via generalized least squares will also allow for a heteroskedas-ticity in error structure, with each state having its own error variance. We use three different poverty measures: (1) headcount measure, (2) poverty gap measure, (3) difference between rural and urban poverty Econometric Concerns: l st is endogenous and/or measured with error l st is proxying for other omitted policies Development Economics, LSE Summer School 2007 97...
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- Spring '10
- Regression Analysis, land reforms, Land Holdings, state level data, different poverty measures, past land reforms