Titlebook: Microeconometrics; Steven N. Durlauf,Lawrence E. Blume Book 2010 Palgrave Macmillan, a division of Macmillan Publishers Limited 2010 econo

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Field Experiments, field experiments is to make use of randomization in an environment that captures important characteristics of the real world. Distinct from traditional empirical economics, field experiments provide an advantage by permitting the researcher to create exogenous variation in the variables of interes

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Fixed Effects and Random Effects,ogeneity. Not controlling for these unobserved individual specific effects leads to bias in the resulting estimates. Consider the panel data regression. with . denoting individuals and . denoting time. The panel data is . in that none of the observations is missing whether randomly or non-randomly d

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Local Regression Models,es in a general way. Suppose that (., .) are random variables and let.when it exists. The regression function .(.) is of primary interest because it describes how . affects . One may also be interested in derivatives of . or averages thereof or in derived quantities like conditional variance .(.|. =

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Maximum Score Methods,onsistency without assuming knowledge of the distribution of the error terms in the model. As such, the MSE is the first instance of a semiparametric estimator of a limited dependent variable model in the econometrics literature.

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Nonlinear Panel Data Models,me-series data. A particularly useful feature is that they allow researchers to model . at the level of the observational unit, where the latter may be an individual, a household, a firm or a country. Standard practice in the econometric literature is to model this heterogeneity as an individual-spe