Twin Booms: The Lead–Lag Relation Between Credit and Housing Booms

In this study, we examine the causal relation between credit (proxied by credit-to-GDP ratio) and house markets (proxied by house price index) using data of using thirty-six countries for the period 1996–2012. We find a bidirectional causal relation between the two markets using the whole sample. Then, we find that during the non–twin boom period, the results are the same as those using the whole sample. During the twin boom periods, the two markets are not linked using the boom definition of deviation from the trend, and the housing market leads the credit market using the boom definition of the growth rate exceeding a certain 15 percent.     

基于分组固定效应模型的中国上市公司股利政策研究

基于1257家主板上市公司2004—2014年的数据,运用分组固定效应模型,考量中国上市公司的股利政策。结果表明：相比其他估计技术,分组固定效应模型的研究结果更为准确。中国上市公司在股利分配政策上具有长远规划,股利政策存在异质性且缺乏稳定性,股利平均支付比率处于较低水平。     

How Do Foreign Banks Affect Private Credit Flows? A Global and Emerging Markets Perspective

This study examines how foreign banks affect private credit flows in 135 nations, including 57 emerging markets for 1995–2013. Employing different econometric techniques, I find both higher share of foreign banks and foreign assets to significantly reduce credit flows. Such decline in credit is highest in nations with more than 50 percent foreign banks. The findings support the view that foreign banks face informational asymmetries that hamper them from lending to the more informationally opaque firms. The results call for strengthening accounting standards, disclosure rules in host markets and for prospective foreign banks to modify their credit risk evaluation methods.     

Critical challenges of inventory management in service parts supply: A Delphi study

The primary purpose of the study is to determine the critical challenges facing service parts managers and to help bridge the gap between research and practice. In order to accomplish this, a series of semi-structured interviews with 18 senior service parts managers from a variety of industries frequently dealing with service parts inventory issues was used as the basis of input for a web-based Delphi study. The results of the study include 18 commonly identified potential service parts inventory issues and ten key challenges for the service parts supply industry. The identified challenges should serve as a guide for both researchers seeking to contribute to the service parts body of knowledge and practitioners who are regularly faced with service parts inventory issues.     

Estimating systematic continuous-time trends in recidivism using a non-Gaussian panel data model

We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed into a systematic and an individual-specific component, of which the systematic component reflects the general time-varying conditions including the criminological climate. Within a model-based analysis, we treat (1) shared effects of each group with the same systematic conditions, (2) strongly non-Gaussian features of the individual time series, (3) unobserved common systematic conditions, (4) changing recidivism probabilities in continuous time and (5) missing observations. We adopt a non-Gaussian multivariate state-space model that deals with all these issues simultaneously. The parameters of the model are estimated by Monte Carlo maximum likelihood methods. This paper illustrates the methods empirically. We compare continuous time trends and standard discrete-time stochastic trend specifications. We find interesting common time variation in the recidivism behaviour of the juveniles during a period of 13 years, while taking account of significant heterogeneity determined by personality characteristics and initial crime records.     

生产性服务业对制造业生产效率提升效应的实证分析——基于中国城市面板数据的空间计量分析

依托生产性服务业的发展带动制造业生产效率的提升,对于中国制造业转型升级具有重要意义。基于2005-2016年中国239个城市层面的面板数据,运用空间面板计量模型（SEM和SAR）,并且构建地理邻接与地理距离两种空间权重矩阵,实证分析了生产性服务业对制造业效率的提升作用。研究表明,生产性服务业不仅可以提升本地区的制造业效率,而且通过空间溢出效应提升其邻近地区的制造业效率。各个区域的生产性服务业对制造业效率的提升作用存在一定的差异,其中长江三角洲地区的提升作用明显高于其他地区,而中部地区的提升作用最小,并且中部地区的空间溢出效应不显著。     

Location-specific stock market indices: an exploration

This article develops an alternative location-specific stock market index driven by investors’ ‘attachment’ towards investment at a specific location. We evaluate the performance of hypothetical stock market indices that track companies based on their state of registration, taking the US stock market as our case. Using annual data since 1980 we present raw, risk-adjusted and value-weighted state portfolios’ returns to study the extent to which stock market performance varies by state-level demographics and economic factors. A dynamic panel data estimation – with and without spatial spillover effects – is employed to establish a strong association between stock price performance and the state-level (or geography-weighted) factors. We find that spatial effects are strong and that the ‘spatial attachment’ of companies in interaction with the various location-specific variables imparts an overarching influence on stock-price performance. Comparison of model performances further supports our claims.     

The Global Economic Crisis and Migrant Workers: The Case of the Construction Sector in Europe

This paper examines the employment response of native and migrant workers over the business cycle in the construction sectors of European countries between 2008 and 2011. Using a dynamic model (Generalized Method of Moments), which accounts for ‘intergroup substitutability’, we observe that differences in the cyclical employment patterns of migrants and natives in the construction sector may be due to a potential selection of EU and non-EU migrants who are disproportionately prone to cyclical fluctuations in temporary jobs or a higher turnover rate.     

Climate change and economic growth in Brazil

Brazil has felt the effects of climate change through significant variability in precipitation resulting in droughts and floods (Grimm, Pal, and Giorgi 2007; Verner and Tebaldi, forthcoming). This article contributes to the literature by examining the impact of rainfall variations on GDP growth rates of Brazilian states. The estimates suggest that spring droughts as well as spring droughts combined with summer floods impact Northeastern Brazil most severely. Because the Northeast has historically been the most economically deprived region in the country, the results suggest that climate events could aggravate inequality throughout the nation.     

Seasonal asymmetries in wholesale–retail cost pass-through

This article investigates the extent of seasonal asymmetries in wholesale to retail cost pass-through in the Canadian apple market. We model nonlinearity in cost pass-through in a panel two-regime error correction model. The model employs weekly store-level retail matching wholesale price data for a major US retail chain. Our results reveal distinct seasonal asymmetries in cost pass-through. Retail prices adjust faster during the fall indicating significantly higher pass-through in response to a change in input composition and seasonal expansion of alternative marketing channels. This input composition effect on cost pass-through highlights the general importance of time-variant market conditions and their respective determinants in explaining cost pass-through dynamics in commodity markets.