An Empirical Investigation of the Effects of Rounding on the SPF Probabilities of Decline and Output Growth Histograms

I consider the possibility that respondents to the Survey of Professional Forecasters round their probability forecasts of the event that real output will decline in the future, as well as their reported output growth probability distributions. I make various plausible assumptions about respondents’ rounding practices, and show how these impinge upon the apparent mismatch between probability forecasts of a decline in output and the probabilities of this event implied by the annual output growth histograms. I find that rounding accounts for about a quarter of the inconsistent pairs of forecasts.     

Identifying Discretionary Fiscal Policy Reactions with Real‐Time Data

We propose a method of identifying discretionary fiscal policy reactions using real‐time data. Automatic stabilizers should depend on true GDP, while discretionary fiscal policy is contingent on the information that policy makers have in real time. We can compute a real‐time measurement error by comparing the first release of GDP data with later revisions. Discretionary fiscal policy is influenced by this measurement error, whereas automatic fiscal policy is not. We use this identification approach to test the central identifying assumption of Blanchard and Perotti’s (2002) seminal structural vector autoregression (VAR). According to this assumption, fiscal policy makers do not react to GDP developments contemporaneously in a discretionary fashion. We find that government expenditure is adjusted upward if GDP growth in real time is lower than true GDP. This suggests that fiscal policy makers use short‐term funds to buy goods and services in response to their perception of GDP dynamics.     

BE/ME and E/P work better than ME/BE or P/E in regressions

Researchers often form ratios of variables to measure firm characteristics, but which ratios create the most powerful tests? For example, if we use ratios of book value of equity (BE) and market value of equity (ME), or earnings (E) and price (P), does it matter which variable appears in the denominator? Any variable in the denominator, when close to zero, creates outliers and is less likely to produce effective tests. Our tests, using data from 1972 to 2008, indicate the choice between reciprocals often produces significantly different outcomes. While ME/BE is a more commonly used control variable than BE/ME or LN(BE/ME), we find the latter two produce better results, even if the data are trimmed to mitigate the outlier problem. Similarly, using E/P generally produces better results than P/E, and while ratios with book value of assets (BA) in the numerator work better than those with it in the denominator, the difference is less pronounced than when BE or E is part of the ratio. While the focus of our empirical findings is on growth measures, the principal applies anytime a ratio has a denominator that is frequently near zero.     

Testing weak form efficiency on the Toronto Stock Exchange

In order to test for weak form efficiency in the market a vast pool of individual stocks must be analyzed rather than a stock market index. In this paper, a model-based bootstrap is used to generate a series of simulated trials and a modified chart pattern recognition algorithm is applied to all stocks listed on the Toronto Stock Exchange (TSX). The number of patterns detected in the original price series is compared with the number of patterns found in the simulated series. By simulating the price path specific time dependencies present in real data are eliminated, making price changes purely random. Patterns, if consistently identified, carry information which adds value to the investment process, however, this informativeness does not guarantee profitability. Conclusions are drawn on the relative efficiency of some sectors of the economy. Although the null hypothesis of weak form efficiency on the TSX cannot be rejected, some sectors of the Canadian economy appear to be less efficient than others. In addition, pattern frequencies appear to be negatively dependent on the two moments of return distributions, variance and kurtosis.     

B to C交易中消费者信任的生成机理研究

基于TRA、TPB和ETC等理论的扩展模型和Mcknight等人对信任的系统研究，构建出信任生成机理基础框架。同时，参考网上信任生成的周期说、因素说和DTR模型，提出由五条主线、一定的交互关系和大量影响因素组成的网上消费者信任生成机理综合模型，以期为理论研究和实践应用提供借鉴。     

Commodity price inflation, retail pass-through and market power

When commodity prices rise, wholesalers and retailers of products derived from basic commodities respond by passing along at least a portion of the price increase to consumers. In this paper we examine whether firms respond differently to positive commodity price shocks than to negative commodity price shocks; that is, whether commodity price volatility alters market power. We exploit recent volatility in food commodity prices over the period 2007-2010 to investigate how commodity price shocks translate into market power in two different vertically-structured food product industries: potatoes and fluid milk. For potatoes, we find both wholesale and retail market power decreases (increases) during periods of rising (falling) commodity prices. Moreover, price-cost margins widen a substantially greater degree in response to negative shocks than margins narrow in response to positive shocks, indicating that commodity price volatility increases market power. For fluid milk, we find that market power likewise declines during periods of rising commodity prices; however, market power does not significantly change during periods of falling commodity prices, suggesting that commodity price volatility decreases market power.     

绩效与不足:建国初期农村信用合作社的借贷活动的历史考察——以鄂湘赣三省为中心

农村信用合作社是建国初期农村金融体系的重要组成部分，它的产生是新中国乡村借贷关系转型和现代化的标志之一。信用社借贷有利于农户的生产生活经营，推动了农村经济的恢复与发展，但其也存在一定的缺陷。     

Spatial determinants of productivity growth on agri‐food Spanish firms: a comparison between cooperatives and investor‐owned firms

This study analyses the effect of the spatial factor, location, and interaction effects among peer companies, on the productivity growth of agri‐food companies in Spain. With this aim, we build a productivity growth index and apply a multiequational Seemingly Unrelated Regression on a sample of 344 Spanish cooperatives and investor‐owned firms for the period 2010–2012. Our findings show that agri‐food firms are influenced by spatial factors finding interesting differences between cooperatives and investor‐owned firms. With regard to the geographical location, cooperatives in the western of Spain show higher productivity growth rates, whereas investor‐owned firms in the northeast of Spain present better results. The interaction effect among closer peer companies is also a relevant factor to determine the productivity growth in agri‐food companies. This factor is more relevant for cooperatives than for investor‐owned firms.     

The economics of enforcement: The case of OSHA

A model of enforcement is developed that determines the impacts of OSHA actions on regulated parties. This model analyzes the effect of decision procedures developed by OSHA to enforce the law and their effect on resource allocation within the firm. It is concluded that the impacts from both the initial inspection and reinspection programs on the resource allocations of firms have likely been insignificantly different from zero. If OSHA is to increase the allocation of injury control resources of firms through its enforcement program, it must increase the costs of noncompliance that it imposes on firms.