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Was there a riverside miracle? : A hierarchical framework for evaluating programs with grouped date

Dehejia, Rajeev H. - In: Journal of business & economic statistics : JBES ; a … 21 (2003) 1, pp. 1-11

Persistent link: https://www.econbiz.de/10001728900

Was there a riverside miracle? : An hierarchical framework for evaluating programs with grouped data

Dehejia, Rajeev H. (contributor) - 2002 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001655519

Was there a riverside miracle? : A framework for evaluating multi-site programs

Dehejia, Rajeev H. - 2000

Persistent link: https://www.econbiz.de/10001501630

Optimal minimum wage in the classic labor supply-and-demand paradigm

Dehejia, Rajeev H.; Jorgensen, Bjorn N.; Thomadsen, … - In: Journal of poverty : innovations on social, political & … 12 (2008) 4, pp. 481-495

Persistent link: https://www.econbiz.de/10003786071

Propensity score matching methods for non-experimental causal studies

Dehejia, Rajeev H.; Wahba, Sadek M. - 1998

Persistent link: https://www.econbiz.de/10001350626

Propensity score matching methods for non-experimental causal studies

Dehejia, Rajeev H. (contributor); … - 2002 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001655517

Propensity score-matching methods for nonexperimental causal studies

Dehejia, Rajeev H.; Wahba, Sadek M. - In: The review of economics and statistics 84 (2002) 1, pp. 151-161

Persistent link: https://www.econbiz.de/10001659570

Causal effects in non-experimental studies : re-evaluating the evaluation of training programs

Dehejia, Rajeev H. - 1998

Persistent link: https://www.econbiz.de/10000990199

Information, preferences, and household demand for school value added

Ainsworth, Robert; Dehejia, Rajeev H.; Pop-Eleches, … - 2020

Persistent link: https://www.econbiz.de/10012426779

Was There a Riverside Miracle? A Framework for Evaluating Multi-Site Programs

Dehejia, Rajeev - 2000

This paper uses data from the Greater Avenues for Independence (GAIN) initiative to discuss the evaluation of programs that are implemented at multiple sites. Two frequently used methods are to pool the data or to use fixed effects (an extreme version of which estimates separate models for each...

Persistent link: https://www.econbiz.de/10012470899