Comment on An and Schorfheide's Bayesian Analysis of DSGE Models

An and Schorfheide's article provides an excellent review of Bayesian estimation of DSGE models. Rather than recapitulating the points already made in this article, my comment focuses on three aspects. It proposes a convergence measure to take account of serial correlation of MCMC draws, explains why the DSGE-VAR framework for policy analysis can be improved by avoiding the ad hoc identification assumption, and discusses an alternative structural approach to model misspecification.     

Threshold‐free estimation of functional antibody titers of a group B streptococcus opsonophagocytic killing assay

Opsonophagocytic killing assays (OPKA) are routinely used for the quantification of bactericidal antibodies in blood serum samples. Quantification of the OPKA readout, the titer, provides the basis for the statistical analysis of vaccine clinical trials having functional immune response endpoints. Traditional OPKA titers are defined as the maximum serum dilution yielding a predefined bacterial killing threshold value, and they are estimated by fitting a dose‐response model to the dilution‐killing curve. This paper illustrates a novel definition of titer, the threshold‐free titer, which preserves biological interpretability while not depending on any killing threshold or on a postulated shape of the dose‐response curve. These titers are shown to be more precise than the traditional threshold‐based titers when using simulated and experimental group B streptococcus OPKA experimental data. Also, titer linearity is shown to be not measurable when using threshold‐based titers, whereas it becomes measurable using threshold‐free titers. The biological interpretability and operational characteristics demonstrated here indicate that threshold‐free titers are an appropriate tool for the routine analysis of OPKA data. Copyright © 2015 John Wiley & Sons, Ltd.     

Lawrence R. Klein 1920–2013: Notes on the early years

Klein can well be said to have created the field of macroeconometric modeling almost singlehandedly. His international influence started at an early stage. The article offers scattered archive observations on Klein's early years from undergraduate study to the University of Pennsylvania in 1958. Klein was in 1944 recruited by the Cowles Commission in Chicago to construct the first macroeconomic model in the USA, drawing on the experiences of the interwar modeling work of Jan Tinbergen and the new path-breaking econometric methods developed by Trygve Haavelmo. The first Klein model was taken into use at the end of 1945 to shed light on the prospects for the US economy in the transition from war to peace. After two-three years in Chicago Chicago, Klein traveled for a year in Europe and initiated macroeconometric modeling work in Canada, at the University of Michigan, and at Oxford University. This was only the beginning of the lifelong influence exerted on modelers around the globe. The article pays attention to Klein's relation to Paul Samuelson, Jacob Marschak, Trygve Haavelmo, Ragnar Frisch, and others.     

试析大众文化的特点、负面效应及其对策

大众文化具有商业性、流动性、普及性与承载性等特点,它的兴起与传播已带来了较大的负面效应,造成了忽视文化的社会效益,排挤高雅文化,冲击占主流地位的文化,模塑大众,使大众文化品位逐步走向低俗化和单调化。对大众文化必须以“三个代表”思想为指导,坚持“重在建设”的方针,在坚持文化的领导权的前提下,大力加强文化法制建设,进行文化产业结构调整,使大众文化朝着代表先进文化的方向前进。     

How do policy levers shape the quality of a national health system?

Poor quality of care may have a detrimental effect on access and take-up and can become a serious barrier to the universality of health services. This consideration is of particular interest in view of the fact that health systems in many countries must address a growing public-sector deficit and respond to increasing pressures due to COVID-19 and aging population, among other factors. In line with a rapidly emerging literature, we focus on patient satisfaction as a proxy for quality of health care. Drawing on rich longitudinal and cross-sectional data for Spain and multilevel estimation techniques, we show that in addition to individual level differences, policy levers (such as public health spending and the patient-doctor ratio, in particular) exert a considerable influence on the quality of a health care system. Our results suggest that policymakers seeking to enhance the quality of care should be cautious when compromising the level of health resources, and in particular, health personnel, as a response to economic downturns in a sector that traditionally had insufficient human resources in many countries, which have become even more evident in the light of the current health crisis. Additionally, we provide evidence that the increasing reliance on the private health sector may be indicative of inefficiencies in the public system and/or the existence of features of private insurance which are deemed important by patients.     

Where do we stand? Recent AEA member views on professionalization

The professionalization of evaluation continues to be debated at numerous conferences in the U.S. and abroad. At this time, AEA member views on the potential benefits and negative side effects of professionalization are essential as the discussion evolves. This study provides recent views on major topics in professionalization, including potential benefits, negative side effects, processes, competencies, and procedures. Results from in-depth interviews and an online survey demonstrate that AEA members view potential benefits of professionalization to be stakeholder trust, evaluator reputation and identity, while concerns about a potential negative side effect known as the “narrowing effect” (i.e., some evaluators will be alienated based on their background, competencies, etc.) were expressed by participants. These recent findings can inform the ongoing discussion of professionalization, and suggest new directions for future research on evaluation.     

Meningococcal serogroup B outbreak response University of Wisconsin-Madison

A meningococcal serogroup B (MenB) outbreak at a large public university prompted an emergency response to immunize undergraduates. Objective: To report on a successful meningococcal serogroup B (MenB) vaccine clinic response at a large public university. Methods: We assembled the team leaders to write this case report. Results: Activation of the emergency plan and points of dispensing required cooperation of many units on campus under the leadership of university health officials with support from Centers for Disease Control and Prevention, state division of public health and the city-county health department. Significant efforts to provide consistent messages to students and parents regarding the outbreak and the availability of the MenB vaccines were made. Volunteers were recruited to staff the clinics alongside university healthcare providers. Over 22,000 doses of vaccine were administered. Conclusion: We report our experience and lessons learned which may be helpful to universities in preventing and responding to disease outbreaks.     

A Semiparametric Regression Model for Longitudinal Data with Non‐stationary Errors

Motivated by the need to analyze the National Longitudinal Surveys data, we propose a new semiparametric longitudinal mean‐covariance model in which the effects on dependent variable of some explanatory variables are linear and others are non‐linear, while the within‐subject correlations are modelled by a non‐stationary autoregressive error structure. We develop an estimation machinery based on least squares technique by approximating non‐parametric functions via B‐spline expansions and establish the asymptotic normality of parametric estimators as well as the rate of convergence for the non‐parametric estimators. We further advocate a new model selection strategy in the varying‐coefficient model framework, for distinguishing whether a component is significant and subsequently whether it is linear or non‐linear. Besides, the proposed method can also be employed for identifying the true order of lagged terms consistently. Monte Carlo studies are conducted to examine the finite sample performance of our approach, and an application of real data is also illustrated.     

George Katona: A founding father of old behavioral economics

Assuming the division of behavioral economics into old and new, the paper begins to argue that old behavioral economics began with the works of two giants – George Katuna and Herbert Simon during the 1950s and early 1960s. The contributors of Herbert Simon are well established, thanks to the popularity of bounded rationality and satisficing, and his being award Noble Prize in economics. However, economists are much less familiar with the contributions of George Katona that can be viewed as the father of behavioral economics. Furthermore, the author argues that Katona was also misunderstood by various economists when he was attempting to create a psychologically based economics that rejected the mechanistic psychology of neoclassical economics and introducing the survey method to economic research that he had been using in his experimental psychology research previously. He also had influenced various economists during their debates in the 1950s without given the credit for. Many historians of behavioral economics limit Katona's contributions to the start of behavioral economics only to his contributions to macroeconomics. However, the paper demonstrates that Katona's behavioral economics included his contributions to macroeconomics (bringing realism to Keynesian consumption function and consumption behavior), micro-economics (business behavior, the rationality assumption, etc.), public finance and economic policy, and his introduction of the survey method. To demonstrate these contributions, the author argues that Katona attempted to bring realism to economic analysis – through psychological concepts – beginning with his early days of research in Germany which coincided with German hyper inflation- and continued whether working at New school for Social Research, Chicago University's Cowles Commission, the U.S. Department of Agriculture, or the University of Michigan's Survey Research Center. The author also argues that Katona's contributions went through stages, depending upon what economic problem persisted at the time, what advertises he was facing, and what institution/organization he was associated with.