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  • What Explains Differences in Finance Research Productivity During the Pandemic? -- by Brad M. Barber, Wei Jiang, Adair Morse, Manju Puri, Heather Tookes, Ingrid M. Werner
    Using a survey of AFA members, we analyze how demographics, time allocation, production mechanisms, and institutional factors affect research production during the pandemic. Consistent with the literature, research productivity falls more for women and faculty with young children. Independently and novel, extra time spent teaching (much more likely for women) negatively affects research productivity. Also […]
  • In-Kind Transfers as Insurance -- by Lucie Gadenne, Samuel Norris, Monica Singhal, Sandip Sukhtankar
    Recent debates about the optimal form of social protection programs have highlighted the potential for cash as the preferred form of transfer to low income households. However, in-kind transfers remain prevalent throughout the world. We argue that beneficiaries themselves may prefer in-kind transfers because these transfers can provide insurance against price risk. Households in developing […]
  • The Distribution of School Spending Impacts -- by C. Kirabo Jackson, Claire Mackevicius
    We use estimates across all known "credibly causal" studies to examine the distributions of the causal effects of public K12 school spending on test scores and educational attainment in the United States. Under reasonable assumptions, for each of the 31 included studies, we compute the same parameter estimate. Restricted maximum likelihood estimates indicate that, on […]
  • Measuring Commuting and Economic Activity inside Cities with Cell Phone Records -- by Gabriel E. Kreindler, Yuhei Miyauchi
    We show how to use commuting flows to infer the spatial distribution of income within a city. A simple workplace choice model predicts a gravity equation for commuting flows whose destination fixed effects correspond to wages. We implement this method with cell phone transaction data from Dhaka and Colombo. Model-predicted income predicts separate income data, […]
  • Financial Regulation, Clientele Segmentation, and Stock Exchange Order Types -- by Sida Li, Mao Ye, Miles Zheng
    Financial regulations and clientele segmentation explain the proliferation of order types on stock exchanges. Plain market and limit orders lose money, indicating that informed traders use complex orders. Fifty-seven percent of trading volume comes from non-routable orders, which are designed to bypass Reg NMS. Because Reg NMS routes orders based on the best gross prices, […]
Statistics and Time Series.

Protected: Temperature measurement in “San Andres” Island: From t-test to Mann-Whitney U Test .

By Giancarlo Salazar on May 17, 2017

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Categories: Statistics and Time Series.

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Implications of “Regression Fishing” over Cogent Modeling.
Raising economic expectations with the “after-tax” reckon: President Trump’s corporate tax cut plan.

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