Fitting dynamic factor models to non-stationary time series

Factor modelling of a large time series panel has widely proven useful to reduce its cross-sectional dimensionality. This is done by explaining common co-movements in the panel through the existence of a small number of common components, up to some idiosyncratic behaviour of each individual series. To capture serial correlation in the common components, a dynamic structure is used as in traditional (uni- or multivariate) time series analysis of second order structure, i.e. allowing for infinite-length filtering of the factors via dynamic loadings. In this paper, motivated from economic data observed over long time periods which show smooth transitions over time in their covariance structure, we allow the dynamic structure of the factor model to be non-stationary over time by proposing a deterministic time variation of its loadings. In this respect we generalize the existing recent work on static factor models with time-varying loadings as well as the classical, i.e. stationary, dynamic approximate factor model. Motivated from the stationary case, we estimate the common components of our dynamic factor model by the eigenvectors of a consistent estimator of the now time-varying spectral density matrix of the underlying data-generating process. This can be seen as a time-varying principal components approach in the frequency domain. We derive consistency of this estimator in a “double-asymptotic” framework of both cross-section and time dimension tending to infinity. The performance of the estimators is illustrated by a simulation study and an application to a macroeconomic data set.     

Doing well by doing right: a fundraiser's guide to ethical decision‐making

• The level of trust a prospective donor has in a charity will, in part, determine whether the individual chooses to support the charity as well as the amount of that support. A key factor involved in trust is an organization's ethical standards. Donors prefer to make donations to organizations that maintain the highest principles. If an organization can consistently make the best possible, most ethical decisions, it will be recognized as being an ethical institution, which in turn will enhance the trust it engenders, and, therefore, the support it can attract. A number of ethical decision‐making models exist. Adopting a decision‐making model will ensure that a methodical approach is used and that the incidents of rash decision‐making will be reduced. Using an ethical decision‐making model will help individuals arrive consistently at the best solutions to ethical dilemmas, defend those decisions, enhance public trust, secure more donors, and raise more money. The value of sound decision‐making and effective ethical decision‐making models are reviewed in this paper.

Copyright © 2005 John Wiley & Sons, Ltd.     

Bank intermediation activity in a low-interest-rate environment

This paper investigates how a prolonged period of low-interest rates affects bank intermediation activity. We use data for 113 large international banks headquartered in 14 major advanced economies during the period 1994–2015. We find that low-interest rates induce banks to shift their activities from interest-generating to fee-related and trading activities. This rebalancing is stronger for low capitalised banks. Banks also moderately adjust their funding structure, away from short-term market funding towards deposits. We observe a concomitant decline in the risk-weighted asset ratio and a reduction in loan-loss provisions, which is consistent with signs of evergreening.     

INVESTIGATING NONNEUTRALITY IN A STATE-DEPENDENT PRICING MODEL WITH FIRM-LEVEL PRODUCTIVITY SHOCKS

In a model with fixed cost of price adjustment and idiosyncratic shocks, two parameterizations match a large set of microeconomic facts, yet display different degrees of nonneutrality. Although there is substantial nonneutrality in both cases, the model does not behave like a time-dependent model, as changes in the distribution of firms account for roughly a third of the short-run response of the price level to a monetary shock. We use the model to examine how aggregating firm behavior can generate flat hazards; we also find that a recently developed steady-state statistic is an imperfect guide to characterizing nonneutrality.     

Child abuse: Does public enforcement crowd out private vigilance?

We investigate whether increased public reporting of child abuse crowds out private reporting. We find, despite theoretical models suggesting significant crowding out, that public and private reports have risen nearly equiproportionately and that crowding out is small and not significant.     

Carbon efficiency of US colleges and universities: a nonparametric assessment

Under the American College and University Presidents’ Climate Commitment (ACUPCC), institutes of higher education have pledged to pursue a goal of carbon neutrality. We utilize emissions reported under the ACUPCC agreement and a nonparametric data envelopment analysis approach in order to evaluate the relative performance of signatories to the agreement in terms of producing teaching and research with the least greenhouse gas emissions. We find that while many signatory institutions are now producing their desirable outputs relatively efficiently in terms of carbon emissions, there still exists considerable variation in efficiency and potential for improvement. Results of a second stage efficiency change analysis shows evidence of both movement towards the efficiency frontier since signing, and some movement of the frontier itself, though this evidence comes primarily from teaching-focused institutions.     

Cross-border commuting and consuming: an empirical investigation

This article contributes to our understanding of cross-border activity in general and the determinants of cross-border trade in particular by focusing on the part of cross-border sales that arise due to work-related cross-border crossings of households. We analyse empirically how cross-border consumption expenditures vary across product and services categories as well as household characteristics using representative household survey data of cross-border commuters to Luxembourg. In total, these households spend an estimated 17% of their gross annual income across the border, contributing about 10% to the total household final consumption expenditure (HFCE) in Luxembourg. Cross-border expenditure is linked to individual- and household-related characteristics and to distance between home and work. Cross-border commuters systematically exploit arbitrage opportunities that arise because of existing price level (index) differences between the country of work and the country of residence.     

Courts and Firm Investments in Real Property

The legal environment and rule of law are important for business, but existing studies often treat rule of law holistically. This article examines the role of courts, specifically the speed of court decisions, the enforcement of edicts, and the impartiality of decision-making as perceived by firms of various sizes, and the impact this has on firm investments in real property. The article analyzes a panel of 6,300 firms from 27 countries in the period from 2002 to 2009 to find that (i) firm size affects perceptions positively, while (ii) paying bribes affects perceptions negatively. At the same time, (iii) a firm’s connections to the government have no apparent impact. More importantly, while all three components have a positive correlation with the amount firms invest in land and machinery, the speed of courts has the greatest significance and the highest marginal effect. Firms perceiving courts to be quick invest nearly four times as much as the average real property investment. This finding suggests that policymakers should focus on reducing backlogs in the court system, perhaps by encouraging more arbitration or staffing more clerks.     

Does raising indigent defender pay rates improve defendant outcomes? Evidence from New York

Beginning 1 January 2004, the rates paid to assigned counsel – private attorneys who defend the indigent in criminal cases when a public defender does not – were raised from a maximum of $40 per hour to $75 per hour in the state of New York. This article examines the extent to which this relatively large pay increase affects case outcomes. Efficiency wage theory would suggest paying workers higher rates can improve their productivity, and the results of this analysis are consistent with this. Using a difference-in-difference approach, I find that after the assigned counsel rate increase, case outcomes significantly improved in counties with higher poverty rates relative to those with lower poverty rates. The likelihood of conviction and the likelihood of pleading guilty both fell by more than two percentage points in high-poverty counties compared to low-poverty counties after the rate increase, and the differences in the likelihood of being convicted are especially pronounced for cases involving violent felonies. The results suggest raising assigned counsel rates can be an effective policy tool to improve indigent defence systems that are in need of reform.