econometrics.kier kyoto-u.ac.jp

計量経済学セミナー 平成28年度

場所 京都大学 経済研究所 第一共同研究室 4F北側. Nonparametric Bayes models for mixed-scale longitudinal surveys. Testing for Overconfidence Statistically A Moment Inequality Approach. Macroeconomic Forecasting and Variable Selection with a Very Large Number of Predictors A Penalized Regression Approach. Tong Li Vanderbilt University. A Partial Identification Subnetwork Approach to Discrete Games in Large Networks An Application to Quantifying Peer Effects. Empirical likelihood for High Frequency Data.

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TITLE

計量経済学セミナー 平成28年度

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場所 京都大学 経済研究所 第一共同研究室 4F北側. Nonparametric Bayes models for mixed-scale longitudinal surveys. Testing for Overconfidence Statistically A Moment Inequality Approach. Macroeconomic Forecasting and Variable Selection with a Very Large Number of Predictors A Penalized Regression Approach. Tong Li Vanderbilt University. A Partial Identification Subnetwork Approach to Discrete Games in Large Networks An Application to Quantifying Peer Effects. Empirical likelihood for High Frequency Data.

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This site econometrics.kier.kyoto-u.ac.jp states the following, "Nonparametric Bayes models for mixed-scale longitudinal surveys." Our analyzers noticed that the website stated " Testing for Overconfidence Statistically A Moment Inequality Approach." The Website also stated " Macroeconomic Forecasting and Variable Selection with a Very Large Number of Predictors A Penalized Regression Approach. A Partial Identification Subnetwork Approach to Discrete Games in Large Networks An Application to Quantifying Peer Effects. Empirical likelihood for High Frequency Data."

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