Acquisition of Information and Share Prices: An Empirical Investigation of Cognitive Dissonance

Abstract. This paper deals with the determinants of agents' acquisition of information. Our econometric evidence shows that the general index of Italian share‐prices and the series of Italy's financial newspaper sales are cointegrated, and the former series Granger‐causes the latter, thereby giving support to the cognitive dissonance hypothesis: (non‐professional) agents tend to buy the newspaper when share prices are high and not to buy it when share prices are low. Instead, we do not find support for the hypothesis that the agents acquire information in order to trade in the stock market: we find no relationship between quantities exchanged in the market and newspaper sales, nor between stock market volatility and newspaper sales.     

Testing for random effects in panel models with spatially correlated disturbances

In the empirical analysis of panel data the Breusch–Pagan (BP) statistic has become a standard tool to infer on unobserved heterogeneity over the cross-section. Put differently, the test statistic is central to discriminate between the pooled regression and the random effects model. Conditional versions of the test statistic have been provided to immunize inference on unobserved heterogeneity against random time effects or patterns of spatial error correlation. Panel data models with spatially correlated error terms are typically set out under the presumption of some known adjacency matrix parameterizing the correlation structure up to a scaling factor. This paper delivers a bootstrap scheme to generate critical values for the BP statistic allowing robust inference under misspecification of the adjacency matrix. Moreover, asymptotic results are derived for the case of a finite cross-section and infinite time dimension. Finite sample simulations show that misspecification of spatial covariance features could lead to large size distortions, while the robust bootstrap procedure retains asymptotic validity.     

Temporary Separations and Firm Size in the German Labour Market

We estimate the duration of out-of-work periods in the German labour market from 1980–90 and their relationship with employment protection legislation. We distinguish between Employment Interruptions that are legally protected and ordinary Layoffs. We investigate the question of whether the size of employer has an impact on the choice of the type of temporary separation. We find that firm size does matter, in both the type and the duration of temporary separations, and we examine the complex re-hiring process.     

The effect of raising deposit insurance coverage in times of financial crisis – Evidence from Croatian microdata

Typically, depositors in transition countries react very sensitively to the safety of deposits. Faced with rising deposit outflows in October 2008, many transition countries were forced to extend the limits of deposit insurance coverage. Has this calmed private agents? Or has it caused more uncertainty? We analyze these questions by employing household survey data for Croatia from exactly the time deposit insurance was extended. First, we provide evidence how the financial crisis has affected trust in banks and trust in the local currency. Then, we show that the increase in deposit insurance coverage had an immediate and positive impact on how people perceived the safety of deposits and the credibility of the local currency. Therefore, our results suggest that this policy measure helped to prevent a more serious and dangerous meltdown of deposits and a further shift towards foreign currency denominated assets. However, despite this effect the perceived safety of deposits remained lower than it was before the financial crisis. We also consider this finding to be of relevance for other countries of Central, Eastern and Southeastern Europe.     

Testing for linear vector autoregressive dynamics under multivariate generalized autoregressive heteroskedasticity

In this paper, we propose a fixed design wild bootstrap procedure to test parameter restrictions in vector autoregressive models, which is robust in cases of conditionally heteroskedastic error terms. The wild bootstrap does not require any parametric specification of the volatility process and takes contemporaneous error correlation implicitly into account. Via a Monte Carlo investigation, empirical size and power properties of the method are illustrated for the case of white noise under the null hypothesis. We compare the bootstrap approach with standard ordinary least squares (OLS)-based, weighted least squares (WLS) and quasi-maximum likelihood (QML) approaches. In terms of empirical size, the proposed method outperforms competing approaches and achieves size-adjusted power close to WLS or QML inference. A White correction of standard OLS inference is satisfactory only in large samples. We investigate the case of Granger causality in a bivariate system of inflation expectations in France and the United Kingdom. Our evidence suggests that the former are Granger causal for the latter while for the reverse relation Granger non-causality cannot be rejected.     

The impact of different scenarios for intermittent bladder catheterization on health state utilities: results from an internet-based time trade-off survey

Aims: Intermittent catheterization (IC) is the gold standard for bladder management in patients with chronic urinary retention. Despite its medical benefits, IC users experience a negative impact on their quality of life (QoL). For health economics based decision making, this impact is normally measured using generic QoL measures (such as EQ-5D) that estimate a single utility score which can be used to calculate quality-adjusted life years (QALYs). But these generic measures may not be sensitive to all relevant aspects of QoL affected by intermittent catheters. This study used alternative methods to estimate the health state utilities associated with different scenarios: using a multiple-use catheter, one-time-use catheter, pre-lubricated one-time-use catheter and pre-lubricated one-time-use catheter with one less urinary tract infection (UTI) per year.

Methods: Health state utilities were elicited through an internet-based time trade-off (TTO) survey in adult volunteers representing the general population in Canada and the UK. Health states were developed to represent the catheters based on the following four attributes: steps and time needed for IC process, pain and the frequency of UTIs.

Results: The survey was completed by 956 respondents. One-time-use catheters, pre-lubricated one-time-use catheters and ready-to-use catheters were preferred to multiple-use catheters. The utility gains were associated with the following features: one time use (Canada: +0.013, UK: +0.021), ready to use (all: +0.017) and one less UTI/year (all: +0.011).

Limitations: Internet-based survey responders may have valued health states differently from the rest of the population: this might be a source of bias.

Conclusion: Steps and time needed for the IC process, pain related to IC and the frequency of UTIs have a significant impact on IC related utilities. These values could be incorporated into a cost utility analysis.     

Households’ foreign currency borrowing in Central and Eastern Europe

Foreign currency loans represent an important feature of recent financial developments in CEECs. This might pose a serious challenge for macroeconomic stability. Against this background, we study the determinants of foreign currency loans of households, using data on the behavior of households in nine CEECs. Our results reveal that foreign currency loans are driven by households’ lack of trust in the stability of the local currency and in domestic financial institutions. Moreover, special factors including remittances and expectations of euro adoption play an important role in selected regions. The financial crisis reduced foreign currency borrowing, but there is some indication this effect might be only temporary.     

Confidence Bands for Impulse Responses: Bonferroni vs. Wald

In impulse response analysis estimation uncertainty is typically displayed by constructing bands around estimated impulse response functions. If they are based on the joint asymptotic distribution possibly constructed with bootstrap methods in a frequentist framework, often individual confidence intervals are simply connected to obtain the bands. Such bands are known to be too narrow and have a joint coverage probability lower than the desired one. If instead the Wald statistic is used and the joint bootstrap distribution of the impulse response coefficient estimators is taken into account and mapped into the band, it is shown that such a band is typically rather conservative. It is argued that, by using the Bonferroni method, a band can often be obtained which is smaller than the Wald band.