Increasing the credibility of the twin birth instrument

Twin births are an important instrument for the endogenous fertility decision. However, twin births are not exogenous either as dizygotic twinning is correlated with maternal characteristics. Following the medical literature, we assume that monozygotic twins are exogenous, and construct a new instrument, which corrects for the selection although monozygotic twinning is usually unobserved in survey and administrative datasets. Using administrative data from Sweden, we show that the usual twin instrument is related to observed and unobserved determinants of economic outcomes, while our new instrument is not. In our applications we find that the classical twin instrument underestimates the negative effect of fertility on labor income. This finding is in line with the observation that high earners are more likely to delay childbearing and hence have a higher risk to get dizygotic twins.     

Hedonic pricing and the spatial structure of housing data – an application to Berlin

Housing prices are largely determined by physical location. By applying the outsample prediction accuracy of rental prices as evaluation criteria, we examine whether the choice of the hedonic model additionally depends on the spatial structure of housing data, i.e. accounting for locational effects by either district fixed effects or spatial econometric modelling. Our results show that a generalised spatio-temporal model outperforms a district fixed effects model only if the spatial density – the weighted mean distance to nearest neighbours – is relatively small. Moreover, we use the required density thresholds to deduce a pseudo indifference curve, thereby showing that the ratio of the weighted spatial distance-to-the mean district diameter increases with the mean sample size per district. This emphasises the role of data structure and district choices for model selection. Differences in data can thereby serve as an explanation for contradictory findings in literature, whether spatial econometric methods or simple district fixed effects are used.     

Do Rising Top Incomes Spur Economic Growth? Evidence From OECD Countries Based on a Novel Identification Strategy

We investigate the causal relationship between the growth rate of top income shares and economic growth in 12 OECD economies for the period 1950–2010. To analyze patterns of short- and long-run causality, we build upon recent advances in structural-vector autoregressive modeling of non-Gaussian systems. This framework allows us to discriminate between rival transmission channels by means of dependence tests, since independent shocks are unique for a particular causation pattern. We consider the share of income accruing to the top 1 percent (1), to the next 9 percent (9), and to the top decile (10). While structural models display considerable heterogeneity across countries, mean group and pooled results strongly favor a specific transmission pattern. In particular, 1 has a long-run positive impact on economic development. This result, which is also confirmed by identified impulse-response functions, is particularly evident for the post-1980 period.     

Anhaltende Produktionslücken durch Vorleistungsengpässe

Wirtschaftsdienst - Die anhaltenden Probleme bei der Beschaffung von Vorleistungen belasten die deutsche Wirtschaft. Drei Viertel der Unternehmen berichten derzeit von Produktionsausfällen von...     

Corporate Real Estate Sale and Leaseback Effect: Empirical Evidence from Europe

Corporate real estate disposals have increased in Europe during the past few years. In this research paper, we study market reactions of publicly traded European companies' real estate sale and leaseback announcements during 1998–2004. This study is one of the first ones to study the sale and leaseback impact on corporate value with a pan‐European data. We find that the sale and leaseback announcements have on average positive impact to firm's value which is in line with the previous studies. However, we also find that the positive effect is mainly caused by the deals with high transaction value to company market value ratio. Smaller transactions do not create on average any abnormal returns. Our results support the hypothesis that the positive sale and leaseback announcement effect is a consequence of revealed hidden value of the company's assets. Thus, sale and leaseback can also be seen as a mechanism for revealing the hidden value of company's assets to the market.     

Risk forecasting in (T)GARCH models with uncorrelated dependent innovations

(G)ARCH-type models are frequently used for the dynamic modelling and forecasting of risk attached to speculative asset returns. While the symmetric and conditionally Gaussian GARCH model has been generalized in a manifold of directions, model innovations are mostly presumed to stem from an underlying IID distribution. For a cross section of 18 stock market indices, we notice that (threshold) (T)GARCH-implied model innovations are likely at odds with the commonly held IID assumption. Two complementary strategies are pursued to evaluate the conditional distributions of consecutive TGARCH innovations, a non-parametric approach and a class of standardized copula distributions. Modelling higher order dependence patterns is found to improve standard TGARCH-implied conditional value-at-risk and expected shortfall out-of-sample forecasts that rely on the notion of IID innovations.     

Best fit,best practice,or stuck in the middle? The impact of unit ownership on unit HR performance in franchise systems

Franchising is an important form of entrepreneurial wealth creation in many retailing and service industries. Since Human Resource Management (HRM) is a critical factor in such industries, it is important to understand how franchisees—as semi-autonomous entrepreneurs—deal with HRM in their units and how this ultimately affects performance at the unit level. However, the very few studies linking franchisee HRM behaviors to performance have not included multi-unit franchising (MUF) as a type of unit ownership. Given the ever-increasing popularity of MUF and the unique characteristics of MUFs, this represents an important knowledge gap. We aim to fill this gap by building a theoretical framework on how the type of unit ownership affects unit HR performance within franchise systems. Building on agency, resource and entrepreneurship perspectives, we propose that units owned by single-unit franchisees (SUFs) and small MUFs (i.e., franchisees with a very small number of units) adopt a ‘best fit’ system regarding HRM, whereas company-owned units (COs) and units owned by larger MUFs (i.e., franchisees with a large number of units) typically adopt a ‘best practice’ system. Each system has its own advantages and disadvantages, which results in two contrasting propositions regarding their effects on unit performance. Moreover, we expect the units owned by medium-size MUFs to have the lowest performance since they are ‘stuck in the middle’ regarding their HRM system.     

Mapping accessibility in Belgium: a tool for land-use and transport planning?

This paper compares the spatial structure of car accessibility to towns and to railway stations during peak and off-peak hours in Belgium for the country’s 2616 municipalities. A clustering method is applied. It is shown that in a highly urbanised country, the situation is far from being spatially equitable in terms of accessibility, and some areas are more favoured than others. Congestion increases spatial inequalities, differently according to absolute or relative measures of change. By means of examples, this paper shows that even simple accessibility indicators could be useful to support decisions taken by planners and politicians (e.g. as regards the development of residential, industrial and business park areas). Maps indicate the spatial inequalities in terms of accessibility to urban centres and transport nodes, and the impact of congestion on these inequalities. The absolute and relative time losses due to congestion affect different areas in different ways. The location of new developments further increases the congestion problem and the spatial disparities. This paper also insists on the caution that should be adopted when measuring and interpreting “accessibility”, its measurements, its inputs, its temporal changes in absolute and relative terms as well as the need for spatially disaggregated data.