To converge or not converge: unit labor cost inflation in the Euro area

In this article, convergence of unit labor cost (ULC) inflation within the Euro area is tested by means of panel unit root tests. To account for the small cross-sectional dimension, cross-sectional dependence of model innovations and time varying volatility, wild bootstrap critical values are employed for inference. Convergence is tested separately for pre- and post-Euro introduction subperiods. Moreover, we identify particular economies that are characterized by diverging ULC inflation after the introduction of the Euro. While the German economy is characterized by ULC inflation which is persistently below the sample average, Spain and Italy have suffered sustained losses of price competitiveness against their trading partners within the Euro area. ULC inflation in Finland, France, and Ireland can be classified as neutral with respect to relative competitive positions.     

Start-ups, long- and short-term survivors, and their contribution to employment growth

This study documents that the survival of start-ups is central in explaining the relationship between entry and regional employment growth. Distinguishing between start-ups according to the period of their survival shows that the positive effect of new business formation on employment growth is mainly driven by those new businesses that are strong enough to remain in the market for a certain period of time. This result is especially pronounced for the relationship between the surviving start-ups and employment growth in incumbent businesses indicating that there are significantly positive indirect effects of new business formation on regional development. We draw conclusions for policy and make suggestions for further research.     

Deploying strategic resources: comparing members of farmer cooperatives to non-members in sub-Saharan Africa

Abstract

Primary producers in global value chains, like any other firm, aim for entrepreneurial success through deploying strategic resources, collective action, strategic intent, and a supportive institutional environment. In the current article, we analyze the extent to which members of farmer cooperatives in Ethiopia succeed in deploying strategic resources. We find that non-members utilize resources more efficiently and that the potential for collective action is not realized. The potential for collective action remains unrealized due to the institutional environment. We suggest pathways for further research.     

Job Creation and Job Destruction in a Regulated Labor Market: The Case of Austria

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for spurious entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly selected 100 jobs were destroyed within the next year. Hence, the magnitude of Austrian job flows seems to be comparable to other countries, similar to the well-known results of Davis et al. (1996) for the United States. Job reallocation appears to be driven primarily by idiosyncratic shocks. However, job creation increases significantly during cyclical upswings whereas job destruction rises in downturns. We also find substantial persistence of job creation and destruction. The pronounced pattern of job reallocation rates falling with firm size and age continues to hold when we use a set of controls. Finally, we show that – controlling for sector and firm size composition – Austrian job reallocation rates are only half the rates for the U.S. This result is not surprising given the impact of tighter regulation and labor law in Austria.     

Pipeline management for the acquisition of industrial projects

The management and controlling of the industrial project acquisition process, with its staged, funnel-like structure, has been neglected in empirical research so far—even though an effective acquisition process is crucial for economic success. In addition to profitability, the main goal of industrial companies is to implement a pipeline process that ensures that the pipeline is always filled with acquisition projects and results in a constant stream of orders over time. The projects considered are characterized by complexity, uniqueness, and discontinuity. Based on a large-scale survey among German industrial companies, we describe the industrial project acquisition process, where the projects mentioned above are sold on a non-continuous basis to industrial customers. We assess how the industrial project acquisition process is really structured, whether a sales funnel management is applicable and utilized by sales management to monitor and control this process, and whether a sophisticated sales funnel management contributes to enhanced economic success.     

Towns (and villages): definitions and implications in a historical setting

The measurement of urbanization rates and other uses of statistical information, for example the use of historical town growth to measure long-term economic growth, are usually based on an ad hoc population threshold to define and practically classify settlements as towns. The method, however, trades off accuracy and precision for convenience and simplicity. This paper proposes a new threshold that uses the town size distribution together with agricultural data to derive an appropriate cutoff value. The relevance of agricultural income is integrated into the classification scheme through the differential effect of local agricultural endowments on settlement size. The threshold is chosen such that the size of towns above the cutoff is statistically not influenced by local agricultural endowments, while the size of villages, which is below the threshold, is indeed shaped by them. This new approach is practically demonstrated with an application to the urban system of the nineteenth century in the German region of Saxony. This setting is used to investigate the relevance of a different classification for the development of urbanization over time and Gibrat’s law. The results demonstrate that the underlying classification scheme matters strongly for the conclusions drawn from historical urban data. They also indicate that the use of a common population threshold for a comparative analysis or temporal comparisons in a historical context increases the misclassifications of settlements.     

A benchmark for wage growth through the lens of the Beveridge curve

Using an estimated Beveridge curve, we trace out the vacancy–unemployment ratio in the steady state. This steady-state measure for labour market tightness is embedded in a VAR framework to obtain a benchmark for wage growth reflecting a labour market equilibrium.     

Estimating aggregate autoregressive processes when only macro data are available

The aggregation of individual random AR(1) models generally leads to an AR(∞$\infty$) process. We provide two consistent estimators of aggregate dynamics based on either a parametric regression or a minimum distance approach for use when only macro data are available. Notably, both estimators allow us to recover some moments of the cross-sectional distribution of the autoregressive parameter. Both estimators perform very well in our Monte-Carlo experiment, even with finite samples.     

The Heckscher–Ohlin model and the network structure of international trade

This paper estimates for 28 product groups a characteristic parameter that reflects the topological structure of its trading network. Using these estimates, it describes how the structure of international trade has evolved during the 1980–2000 period. Thereafter, it demonstrates the importance of networks in international trade by explicitly accounting for their scaling properties when testing the prediction of the “Heckscher–Ohlin” model that factor endowment differentials determine bilateral trade flows. The results suggest that factor endowment differentials increase bilateral trade in goods that are traded in “dispersed” networks. For goods traded in “concentrated” networks, factor endowment differentials are less important.     

Determinants of Current Account Imbalances in 16 OECD Countries: An Out-Of-Sample Perspective

We employ panel data as well as country-specific models to uncover empirically the determinants of current account imbalances. We find evidence of slope heterogeneity likely rendering the fixed-effect estimator inconsistent. Mean group estimation is followed to overcome the latter difficulty. Both estimation techniques are evaluated by means of in- and out-of-sample criteria. The mean group estimator outperforms the fixed-effect approach and, moreover, only three economic variables are found to impact on the current account balance significantly. These are the government budget balance, the domestic output gap and the changes of the terms of trade. We finally propose a parsimonious dynamic model of the current account, including only these variables and illustrate that it has similar predictive accuracy as country-specific benchmark models. JEL no. F32, C23, C53