Report NEP-ORE-2015-11-01

This is the archive for NEP-ORE, a report on new working papers in the area of Operations Research. Walter Frisch issued this report. It is usually issued weekly.

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Other reports in NEP-ORE

The following items were announced in this report:

• Camponovo, Lorenzo & Otsu, Taisuke, 2015. "Robustness of bootstrap in instrumental variable regression," LSE Research Online Documents on Economics 60185, London School of Economics and Political Science, LSE Library.
• Jia Chen & Degui Li & Oliver Linton & Zudi Lu, 2015. "Semiparametric model averaging of ultra-high dimensional time series," CeMMAP working papers CWP62/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• William E. Griffiths & Gholamreza Hajargasht, 2015. "Welfare Consequences of Information Aggregation and Optimal Market Size," Department of Economics - Working Papers Series 1190, The University of Melbourne.
• Matthieu Droumaguet & Anders Warne & Tomasz Wozniak, 2015. "Granger Causality and Regime Inference in Bayesian Markov-Switching VARs," Department of Economics - Working Papers Series 1191, The University of Melbourne.
• Yoichi Arai & Hidehiko Ichimura, 2015. "Optimal bandwidth selection for the fuzzy regression discontinuity estimator," CeMMAP working papers CWP49/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Joshua C. C. Chan & Todd E. Clark & Gary Koop, 2015. "A New Model of Inflation, Trend Inflation, and Long-Run Inflation Expectations," Working Papers (Old Series) 1520, Federal Reserve Bank of Cleveland.
• Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2015. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP54/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Juan Carlos Escanciano & Stefan Hoderlein & Arthur Lewbel & Oliver Linton & Sorawoot Srisuma, 2015. "Nonparametric Euler equation identification and estimation," CeMMAP working papers CWP61/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.