Selection Bias Adjustment in Treatment-Effect Models as a Method of Aggregation / Robert A. Moffitt.

By:

Moffitt, Robert A

Contributor(s):

National Bureau of Economic Research

Material type: Text

TextSeries: Technical Working Paper Series (National Bureau of Economic Research) ; no. t0187.Publication details: Cambridge, Mass. National Bureau of Economic Research 1996.Description: 1 online resource: illustrations (black and white)Subject(s):

C3 - Multiple or Simultaneous Equation Models • Multiple Variables

Online resources:

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Abstract: The aim of this note is to interpret estimation of the conventional treatment-effect selection-bias model in econometrics as a method of aggregation and to draw the implications of this interpretation. In addition, the paper notes the connection of this interpretation with an older style of analysis using grouped data and illustrates the aggregation analogy with examples from the literature. The estimation technique used to illustrate the points is the method of instrumental variables.

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Working Paper	Biblioteca Digital	Colección NBER	nber t0187 (Browse shelf(Opens below))	Not For Loan

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Previous	nber t0184 Randomization as an Instrumental Variable /	nber t0185 Instrumental Variables: A Cautionary Tale /	nber t0186 Information Theoretic Approaches to Inference in Moment Condition Models /	nber t0187 Selection Bias Adjustment in Treatment-Effect Models as a Method of Aggregation /	nber t0188 A CES Indirect Production Function /	nber t0189 On the Validity of Using Census Geocode Characteristics to Proxy Individual Socioeconomic Characteristics /	nber t0190 Existence of Equilibrium and Stratification in Local and Hierarchical Tiebout Economies with Property Taxes and Voting /	Next

May 1996.

The aim of this note is to interpret estimation of the conventional treatment-effect selection-bias model in econometrics as a method of aggregation and to draw the implications of this interpretation. In addition, the paper notes the connection of this interpretation with an older style of analysis using grouped data and illustrates the aggregation analogy with examples from the literature. The estimation technique used to illustrate the points is the method of instrumental variables.