Post by arfanho7 on Feb 22, 2024 3:57:53 GMT -5
Finally batching is associated with better performance when it occurs naturally but not when it results from using discretion. Our research identifies a “discretion fallacy ” offering a behavioral perspective on queue management and highlighting that managers must be careful when allowing discretion within worker queues. Download working paper hbs.edu faculty Pages item.aspx num Evaluating Firm Level Expected Return Proxies By Lee Charles M.C. Eric C. So and Charles C.Y.
Wang ABSTRACT—We develop and implement a rigorous analytical framework for empirically evaluating the relative performance of firm level expected return proxies ERPs based on the America Cell Phone Number List premise that superior proxies should closely track true expected returns both cross sectionally and over time that is the proxies should exhibit lower measurement error variances . We then compare five classes of ERPs nominated in recent studies to demonstrate how researchers can easily implement our two dimensional evaluative framework. Overall our findings support the trend towards characteristic based ERPs.
We also document a tradeoff between time series and cross sectional choice of proxy may vary across research settings. Our results illustrate how researchers can use our framework to critically evaluate and compare a growing body of ERPs. Download working paper hbs.edu faculty Pages item.aspx num Expertise vs. Bias in Evaluation Evidence from the NIH By Li Danielle ABSTRACT—Evaluators with expertise in a particular field may have an informational advantage in separating good projects from bad.
Wang ABSTRACT—We develop and implement a rigorous analytical framework for empirically evaluating the relative performance of firm level expected return proxies ERPs based on the America Cell Phone Number List premise that superior proxies should closely track true expected returns both cross sectionally and over time that is the proxies should exhibit lower measurement error variances . We then compare five classes of ERPs nominated in recent studies to demonstrate how researchers can easily implement our two dimensional evaluative framework. Overall our findings support the trend towards characteristic based ERPs.
We also document a tradeoff between time series and cross sectional choice of proxy may vary across research settings. Our results illustrate how researchers can use our framework to critically evaluate and compare a growing body of ERPs. Download working paper hbs.edu faculty Pages item.aspx num Expertise vs. Bias in Evaluation Evidence from the NIH By Li Danielle ABSTRACT—Evaluators with expertise in a particular field may have an informational advantage in separating good projects from bad.