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Communicating uncertainty in official economic statistics : an appraisal fifty years after Morgenstern

Manski, Charles F. - In: Journal of economic literature 53 (2015) 3, pp. 631-653

Persistent link: https://www.econbiz.de/10011378846

Communicating uncertainty in official economic statistics

Manski, Charles F. - 2014

Persistent link: https://www.econbiz.de/10010360553

Joint censoring of regressors and outcomes : survey nonresponse and attrition

Horowitz, Joel; Manski, Charles F. - 1994

Persistent link: https://www.econbiz.de/10000896408

Censoring of outcomes and regressors due to survey nonresponse : identification and estimation using weigths and imputations

Horowitz, Joel; Manski, Charles F. - 1995

Persistent link: https://www.econbiz.de/10000934805

Identification and robustness with contaminated and corrupted data

Horowitz, Joel - In: Econometrica : journal of the Econometric Society, an … 63 (1995) 2, pp. 281-302

Persistent link: https://www.econbiz.de/10001181465

Censoring of outcomes and regressors due to survey nonresponse : identification and estimation using weights and imputations

Horowitz, Joel - In: Journal of econometrics 84 (1998) 1, pp. 37-58

Persistent link: https://www.econbiz.de/10001234513

What can be learned about population parameters when the data are contaminated

Horowitz, Joel - 1997

Persistent link: https://www.econbiz.de/10001321886

More data or better data? : a statistical decision problem

Dominitz, Jeff; Manski, Charles F. - In: The review of economic studies 84 (2017) 4, pp. 1583-1605

Persistent link: https://www.econbiz.de/10011920086

Minimax-regret sample design in anticipation of missing data, with application to panel data

Dominitz, Jeff; Manski, Charles F. - In: Journal of econometrics 226 (2022) 1, pp. 104-114

Persistent link: https://www.econbiz.de/10013440521

Accounting for Nonresponse in Election Polls : Total Margin of Error

Dominitz, Jeff; Manski, Charles F. - National Bureau of Economic Research - 2024

The potential impact of nonresponse on election polls is well known and frequently acknowledged. Yet measurement and reporting of polling error has focused solely on sampling error, represented by the margin of error of a poll. Survey statisticians have long recommended measurement of the total...

Persistent link: https://www.econbiz.de/10015056107