Post-War Productivity Patterns in U.S. Agriculture: Influences of Aggregation Procedures in a State-Level Analysis

Annual data for forty-eight states are used to account for changes in the composition of input and output aggregates over space and time, and thereby to obtain new evidence on changes in inputs, outputs, and productivity in U.S. agriculture. The measures change significantly when we use state-specific rather than national prices and when we allow for changes in the composition of the aggregates, especially of labor and capital inputs. We compare our estimates and those reported by Ball et al. ( American Journal of Agricultural Economics 81(1999):164–79). The national estimates are similar but substantial differences are found in state-level productivity growth.     

Valuation uncertainty,home and host market uncertainty,and cross-border seasoned equity offerings

This study examines how market timing can affect host market reaction to cross-border seasoned equity offerings (SEOs), an event generally viewed unfavorably by investors. We assume that firms engage in market timing in response to valuation uncertainty (VU), home market uncertainty (HMU) and/or host market uncertainty (HSU), and that raising capital abroad faces higher scrutiny costs and familiarity bias from host market investors. We conjecture that timing strategies provide signals that vary in strength to host market investors and that dual-timing strategies may strengthen an existing signal. Our hypotheses are tested on a sample of 190 cross-border SEOs that were issued on the U.S. stock market between 1990 and 2017 by firms from 29 countries. Using event study methodology, we find that market timing based on VU is negatively related to host market valuation and that a dual-timing strategy with HMU or HSU generally produces a stronger signal. Our results have practical relevance for stock markets that suffer from high uncertainty; we estimate that a high VU firm with a $1 billion valuation suffers a drop of $31.3 million in market valuation during a high host market uncertainty (high HSU) compared with low host market uncertainty (low HSU).     

An Adjustment Procedure for Predicting Betas When Thin Trading is Present: Canadian Evidence

We have incorporated effects of the process that generates true betas for TSE stocks, as well as thin trading effects, into the beta adjustment model. We note the Blume and Dimson and Marsh beta adjustment techniques aim at eliminating beta forecast error through regression tendency bias. Effects of other sources of forecast error have been ignored. We show the process generating security betas affects both cross-sectional correlation coefficient and order bias, while thin trading affects only cross-sectional correlation coefficient. We demonstrate that when OLS beta estimates are used to forecast their future risk levels, order bias accounts for 86% of forecast error, while thin trading effects account for 14% of forecast error. A beta regression tendency model which properly accounts for effects of cross-sectional correlation (which is a function of thin trading) and order bias completely abates forecast error. Our results have implications for the use of correlation coefficient to measure stability of betas across time, for beta adjustment models proposed in the literature, and for event study methodologies that rely on prediction errors.     

Least squares, preliminary test and Stein-type estimation in general vector AR(p) models

In the general vector autoregressive process AR ( p ), multivariate least square estimation (LSE)/maximum likelihood estimation (MLE) of a subset of the parameters is considered when the complementary subset is suspected to be redundant. This may be viewed as a special case of linear constraints of autoregressive parameters. We incorporate this nonsample information in the estimation process and propose preliminary test and Stein-type estimators for the target subset of parameters. Under local alternatives their asymptotic properties are investigated and compared with those of unrestricted and restricted LSE. The dominance picture of the estimators is presented.     

Hedonic prices indexes for new passenger cars in Portugal (1997–2001)

This paper evaluates the effects of quality change on the price index for new passenger cars in Portugal for the years 1997–2001. Hedonic regression models are studied, giving particular emphasis to the relation between the form of the price index and the econometric techniques used for inference. The results of the empirical part of the paper indicate that during this period the changes in the quality of new cars sold in Portugal are responsible for price increases averaging 4.8% per year. Because this quality change was not entirely taken into account, in recent years the CPI component corresponding to the sales of new passenger cars may have been overestimated by as much as 2.2 percentage points per year. This corresponds to an overestimation of the overall CPI by about 0.15 percentage points per year.     

The effect of self-selection bias on the testing of a stock price reaction to management's earnings forecasts

This study examines the inferential bias due to the failure to control for self-selection when studying the market's reaction to management earnings forecasts. The analysis is conducted by controlling for self-selection and comparing the results to those obtained when self-selection is not controlled. This comparison suggests that the overall inference of a market reaction to the management forecast issuance does not change. However, the statistical significance declines when self-selection is considered. Since the issuance of a management forecast is an obvious self-selection, the results of this study suggest that self-selection should be considered and evaluated in quasi-experimental studies in accounting and finance.     

投资决策中地区偏好与地区规避的实证研究

本地人是否更加倾向于购买本地股、或者正好相反?如何解读其中蕴含的经济学含义和行为金融学含义?论文以北京、上海、深圳开放式基金为例,对上述问题进行了研究。结果发现,第一,北京基金和上海基金低配本地股,表现为本地规避,深圳基金高配本地股,表现为本地偏好。第二,北京基金、上海基金和深圳基金都拥有不为外地投资者知晓的本地上市公司私人信息,其中北京基金获取本地私人信息的能力最为显著(对应的则意味着北京本地股信息最不透明)。第三,北京基金和上海基金没有表现出明显的本地情结,而深圳基金表现出了一定程度的本地情结。上述结果证实了地域因素是影响投资行为和投资绩效的重要因素,这一影响体现为"本地信息优势"和"本地情结"两个方面上。论文的研究结论,对资产定价的信息假说、对金融的文化意义、对行为金融的地区因素等诸多方面,均有一定的参考意义。     

Mutual fund corporate culture and performance

In this paper we test if a mutual fund's own corporate culture predicts fund performance. To do this we use Morningstar's corporate culture ratings for mutual funds and then examine the ability of these corporate culture ratings to predict risk-adjusted performance of domestic equity funds over the period 2005–2010. Using methods that are robust to survivorship bias, we find there is little significant evidence that corporate culture predicts better fund performance. Indeed, we find that no individual component of the Morningstar stewardship rating including board quality, fees, manager incentives and regulatory issues is able to consistently predict fund performance.     

Common Method Bias in Marketing: Causes,Mechanisms, and Procedural Remedies

There is a great deal of evidence that method bias influences item validities, item reliabilities, and the covariation between latent constructs. In this paper, we identify a series of factors that may cause method bias by undermining the capabilities of the respondent, making the task of responding accurately more difficult, decreasing the motivation to respond accurately, and making it easier for respondents to satisfice. In addition, we discuss the psychological mechanisms through which these factors produce their biasing effects and propose several procedural remedies that counterbalance or offset each of these specific effects. We hope that this discussion will help researchers anticipate when method bias is likely to be a problem and provide ideas about how to avoid it through the careful design of a study.