市场营销专业统计学PBL教学模式的Meta分析

PBL教学模式在我国的医学类高等院校中已经进行了广泛的应用,为评价其在市场营销专业《统计学》教学中的教学效果的优劣,检索国内关于该种教法的相关研究,最终对纳入的8篇文献进行Meta分析。结果表明,PBL教学模式在统计学的教学中效果优于LBL教学模式,应予以肯定和推广。     

WHICH FISCAL MULTIPLIERS ARE REGIME‐DEPENDENT? A META‐REGRESSION ANALYSIS

We analyse whether estimated multiplier effects are systematically higher if the economy suffers a downturn. For that purpose, we conduct a meta‐regression analysis on a unique data set of 98 empirical studies with more than 1800 observations on multiplier effects and control for regime‐dependence of the multiplier. We find that spending multipliers are much higher (by about 0.7–0.9 units) during a downturn. Tax multipliers are not sensitive to the economic regime, and generally lower than spending multipliers. Finally, for all spending categories other than government consumption, the multiplier significantly exceeds one during downturns.     

HOW DO RATING AGENCIES’ DECISIONS IMPACT STOCK MARKETS? A META‐ANALYSIS

The purpose of this study is to examine how credit rating agencies’ decisions impact the stock market using a systematic and quantitative review of existing empirical studies. Specifically, we employ a meta‐regression analysis (MRA) to investigate the extent and nature of the effect of rating agencies’ decisions on the stock market. We survey 62 studies published between 1978 and 2015. Our first finding is that the cumulative average abnormal returns calculated from this empirical literature are affected by publication bias. After controlling for publication bias, the main findings of our meta‐analysis indicate that negative rating decisions cause statistically significant negative abnormal returns. This evidence suggests an informational effect. Our results also indicate that positive rating decisions do not have a significant effect. Finally, the MRA results reveal the importance of several factors related to primary study design, as well as to the nature of the data.     

THE FINANCIAL DEVELOPMENT AND GROWTH NEXUS: A META‐ANALYSIS

We conduct a meta‐analysis of the literature of financial development and economic growth. We cover a large number of empirical studies and estimations that have been published in journal articles. We measure the degree of heterogeneity and identify the causes of the observed differentiation. Among the most significant factors behind this heterogeneity is the choice of financial‐variable proxies, the kind of data used as well as whether a study takes into account the issue of endogeneity. Our results suggest that the empirical literature on the finance–growth nexus is not free from publication bias. Also, a genuine positive effect exists between financial development and economic growth.     

WHICH AGGLOMERATION EXTERNALITIES MATTER MOST AND WHY?

This paper revisits the ongoing discussion on the importance of agglomeration externalities – specifically specialization, diversity and competition effects – that may contribute to innovation, productivity and urban employment growth. Previous meta‐analyses suggested that the evidence on agglomeration externalities is strongly context‐specific. Expanding an earlier analysis of 31 articles, we seek to draw in this paper more robust conclusions by means of the statistical evidence for agglomeration externalities presented in 73 scientific articles, all building on the seminal work of Glaeser et al. (1992). Our results confirm that the heterogeneity among studies is huge and can only be partially accounted for by means of an ordered probit analysis. Additionally, some evidence of publication bias is found. We conclude that the conventional lines of inquiry in this literature may now have reached strongly diminishing returns. New lines of inquiry, using rich micro‐level data on firms and workers, dynamic general equilibrium models at the macro level, more attention for spatial and temporal variation in the impacts of agglomeration, and further investigations into the spatial scope of externalities are promising avenues for further research that can enhance our understanding of how agglomeration externalities continue to fuel our increasingly urbanized world.     

THE IMPACT OF LABOR MARKET REGULATION ON EMPLOYMENT IN LOW‐INCOME COUNTRIES: A META‐ANALYSIS

Controversy over labor market policy often centers on achieving a balance between preventing worker exploitation, and avoiding loss of productivity or employment through excessive regulation. Although the literature documenting the impact of labor market regulation on employment is extensive, there is a dearth of evidence on the impact of such policies in low‐income countries (LICs). Since it is easier for workers, especially women, to slip into the informal sector in LICs, regulations are likely to have stronger impacts on formal employment in these countries (but lower impacts on unemployment). We systematically reviewed available research from countries that are, or were until recently, LICs. Most studies document that more stringent labor regulations are associated with lower formal sector employment and higher informal sector employment. We also conducted a metaregression analysis of the impact of minimum wages on formal and informal employment. After controlling for publication bias, higher minimum wages are associated with lower formal employment and a higher share of informal workers.     

对新疆青年科技工作者问卷调查的思考

45岁以下的青年科技工作者是目前新疆科技战线上的骨干和中坚力量，他们的工作生活状况、职业发展前景、心理感受与满意度在很大程度上影响着新疆科技人才队伍建设和科技事业的未来发展。本文通过对问卷调查中涉及青年科技工作者工作状况的九个方面的问题进行汇总分析，结合调查访谈获得的第一手资料，提出了四点建议，以供政府制定科技政策时参考。     

ARE ALL ECONOMIC FACTS GREATLY EXAGGERATED? THEORY COMPETITION AND SELECTIVITY

Abstract ..There is growing concern and mounting evidence of selectivity in empirical economics. Most empirical economic literatures have a truncated distribution of results. The aim of this paper is to explore the link between publication selectivity and theory contests. This link is confirmed through the analysis of 87 distinct empirical economics literatures, involving more than three and a half thousand separate empirical studies, using objective measures of both selectivity and contests. Our meta–meta‐analysis shows that publication selection is widespread, but not universal. It distorts scientific inference with potentially adverse effects on policy making, but competition and debate between rival theories reduces this selectivity and thereby improves economic inference.     

Relating Context Variables to Participative Budgeting and Evaluative Use of Performance Measures: A Meta‐analysis

Extant findings regarding how context variables relate to participative budgeting and the evaluative use of accounting performance measures (APM) are contradictory. Unlike previous reviews of such findings, this empirical article uses a meta‐analysis to examine the relations of context variables with participative budgeting or evaluative use of APM to determine (i) how the variables relate and (ii) which factors might cause between‐correlation variance, such as statistical artefacts or moderating influences of variable measures, sample selection, or industry differences. All meta‐analyses are based on rather small samples. Three groups of context variables emerge. First, some relate significantly and homogeneously to participative budgeting or evaluative use of APM; these direct relations should be considered explicitly in further studies. Second, for some variables, the relations are homogeneous but not significant, such that they are neither simple nor direct. Third, substantial variance exists in the correlations for some context variables; these relations are contingent on other influences. Industry differences and sample selection explain some inconsistencies in exploratory moderator analyses and should receive additional research attention.     

INTERFUEL SUBSTITUTION: A META‐ANALYSIS

Abstract This paper provides the first meta‐analysis of the interfuel substitutability literature. The sample includes 47 studies of interfuel substitution in the industrial sector, in manufacturing industry or manufacturing sub‐industries, or in the macro‐economy of a variety of developed and developing countries. Meta‐regressions are estimated for the six shadow elasticities of substitution between coal, oil, gas and electricity. I find that at the level of the industrial sector as a whole the oil–coal, oil–gas, oil–electricity and gas–electricity shadow elasticities of substitution are significantly greater than unity. The remaining elasticities – between coal and gas and coal and electricity – are insignificantly different from unity or zero due to their large standard errors. Substitution possibilities seem more constrained at the macro level and less constrained at lower levels of aggregation. Estimates of the elasticities of substitution from cross‐section regressions are generally largest whereas fixed effects panel estimates are intermediate in magnitude, and time‐series estimates are mostly much smaller. In order to obtain more precise and less biased estimates of long‐run elasticities of substitution, there is a need for additional primary studies using large samples and/or the between estimator which econometric research suggests is likely to provide the best estimates of long‐run elasticities.