Portuguese Economic Journal, 2002, Volume 1, NÂș 2
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- Alternative approaches to evaluation in empirical microeconomicsPublication . Blundell, Richard; Dias, Monica CostaFour alternative but related approaches to empirical evaluation of policy interventions are studied: social experiments, natural experiments, matching methods, and instrumental variables. In each case the necessary assumptions and the data requirements are considered for estimation of a number of key parameters of interest. These key parameters include the average treatment effect, the treatment on the treated and the local average treatment effect. Some issues of implemen- tation and interpretation are discussed drawing on the labour market programme evaluation literature.
- Inverse probability weighted M-estimators for sample selection, attrition, and stratificationPublication . Wooldridge, Jeffrey M.I provide an overviewof inverse probability weighted (IPW)M-estimators for cross section and two-period panel data applications. Under an ignorability assumption, I show that population parameters are identified,and provide straightforward â N-consistent and asymptotically normal estimation methods. I show that estimating a binary response selection model by conditional maximum likelihood leads to a more efficient estimator than using known probabilities,a result that unifies several disparate results in the literature. But IPW estimation is not a panacea: in some important cases of nonresponse,unweighted estimators will be consistent under weaker ignorability assumptions.
- Dynamic panel data models : a guide to micro data methods and practicePublication . Bond, Stephen R.This paper reviews econometric methods for dynamic panel data models, and presents examples that illustrate the use of these procedures. The focus is on panels where a large number of individuals or firms are observed for a small number of time periods, typical of applications with microeconomic data. The emphasis is on single equation models with autoregressive dynamics and explanatory variables that are not strictly exogenous, and hence on the Generalised Method of Moments estimators that are widely used in this context. Two examples using firm-level panels are discussed in detail: a simple autoregressive model for investment rates; and a basic production function.
- Nonlinear models with panel dataPublication . Honore, Bo E.Panel data play an important role in empirical economics. With panel data one can answer questions about microeconomic dynamic behavior that could not be answered with cross sectional data. Panel data techniques are also useful for analyzing cross sectional data with grouping. This paper discusses some issues related to specification and estimation of nonlinear models using panel data.
- Semi-parametric models for satisfaction with incomePublication . Bellemare, Charles; Melenberg, Bertrand; Soest, Arthur vanAn overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that general- ize ordered probit are compared to regression models that generalize the linear model. These techniques are then applied to analyze how self-reported satisfac- tion with household income relates to household income, family composition, and other background variables. Data are drawn from the 1998 wave of the German Socio-Economic Panel. The results are used to estimate equivalence scales and the cost of children. We find that the standard ordered probit model is rejected, while some semi-parametric specifications survive specification tests against nonpara- metric alternatives. The estimated equivalence scales, however, are often similar for the parametric and semi-parametric specifications.