Is Aid for Trade Effective? A Panel Quantile Regression Approach

This paper investigates whether Aid for Trade (AfT) leads to greater exports in recipient countries. Using panel data and panel quantile regression techniques, our results suggest that total AfT disbursements promote the export of goods and services, but is limited primarily to exporters above the .35 quantile of the conditional distribution of exports. When disaggregating by type of AfT, we find that aid to improve trade policy and regulation is not associated with higher exports. Aid to build productive capacity is effective for almost all quantiles of the export distribution but the 10th, with the effect being stronger at the higher tails of the conditional distribution. Aid used to build infrastructure is found to affect exports only at the 0.10 quantile. In contrast, aid disbursed for general budget support (an untargeted type of aid) is not associated with greater export levels irrespective of the quantile

Is Aid for Trade Effective? A Quantile Regression Approach

This paper investigates whether Aid for Trade (AfT) improves export performance, i.e. does AfT lead to greater exports? Using panel data and panel quantile regression, our results suggest that overall AfT disbursements promote the export of goods and services mainly for the .50 and .75 quantiles. Our results also show that for some types of AfT this effect essentially vanishes at the lower tail of the conditional distribution of exports. Hence, countries that export more in volume are those benefiting most from AfT. We also investigate which types of AfT are effective. In particular, we find that aid used to build production capacity is effective. This type of aid is associated with higher exports for almost all quantiles, with the effect increasing at the upper tail of the conditional distribution. Aid used to build infrastructure is also found to affect exports at the upper tail of the distribution. In contrast, aid for trade policy and aid disbursed for general budget support (an untargeted type of aid) are not associated with greater export levels. This finding holds true irrespective of the quantile

Space and Time in Macroeconomic Panel Data: Young Workers and State-Level Unemployment Revisited

A provocative paper by Shimer (2001) finds that state-level youth shares and unemployment rates are negatively correlated, in contrast to conventional assumptions about demographic effects on labor markets. This paper updates Shimer's regressions and shows that this surprising correlation essentially disappears when the end of the sample period is extended from 1996 to 2005. This shift does not occur because of a change in the underlying economy during the past decade. Rather, the presence of a cross-sectional (that is, spatial) correlation in the state-level data sharply reduces the precision of the earlier estimates, so that the true standard errors are several times larger than those originally reported. Using a longer sample period and some controls for spatial correlation in the regression, point estimates for the youth-share effect on unemployment are positive and close to what a conventional model would imply. Unfortunately, the standard errors remain very large. The difficulty of obtaining precise estimates with these data illustrates a potential pitfall in the use of regional panel data for macroeconomic analysis

Revisiting German labour market reform effects—a panel data analysis for occupational labour markets

There is an ongoing discussion that centres on the German labour market reforms (2003- 2005) and the role of these reforms in boosting the German economy. Considering that one of the main objectives of the reforms was to improve the matching process on the labour market, I use rich, high-frequency, and recent administrative panel data to present new details regarding the development of job-matching performance before and after the reform years. The results show that matching productivity increased during all reform stages and slightly deteriorated in 2009 (the year of the financial crisis), even after controlling for the recession. Furthermore, increases in matching productivity have become smaller in recent years. Beyond these findings, the results show detailed differences in the changes in matching productivity on occupational labour markets.Über einen etwaigen Beitrag der deutschen Arbeitsmarktreformen (2003-2005) zur Stabilisierung der deutschen Wirtschaft wird sowohl in Wissenschaft als auch Politik nach wie vor debattiert. Dabei war die Verbesserung der Effizienz des Arbeitsmarktausgleichs eines der erklärten Hauptziele der Reformen. Zur Frage, ob dieses Ziel erreicht wurde, stelle ich präzise und neue detaillierte Befunde auf der Basis von umfangreichen administrativen Daten vor, die auch die Zeit der Wirtschafts- und Finanzkrise (2008/2009) einschließen. Die Effizienz des Arbeitsmarktausgleichs erhöhte sich während und nach den Reformjahren deutlich. Dies lässt sich nun auch für die Einführung der letzten Reformstufe im Jahr 2005 belegen. Jedoch waren die Arbeitsmarktausgleichsprozesse nicht vollständig immun gegen die Wirtschafts- und Finanzkrise; die positive Entwicklung wurde hier unterbrochen und setzte sich danach nicht in dem gleichen Maße fort. Darüber hinaus zeigen die Analysen eine unterschiedliche Entwicklung der Matchingeffizienz in beruflichen Teilarbeitsmärkten auf

Network centrality and organizational aspirations: A behavioral interaction in the context of international strategic alliances

Whereas social network analysis has been associated with organizational aspirations, little is known on how firm's structural positioning, and particularly network centrality, affects organizational aspirations to engage in international strategic alliances (ISA). This study examines the impact of network centrality on firm's internationalization behavior within the ISA domain in response to the performance-aspiration gap. We build on social and behavioral perspectives to predict that network centrality and performance-based aspirations will be associated with the number of ISA the firm engages in. Using a sample of 7760 alliance collaborations from the top 81 global pharmaceutical firms for the period of 1991-2012, we find supporting evidence for most of our arguments

A New Empirical Approach to Explain the Stock Market Yield: A Combination of Dynamic Panel Estimation and Factor Analysis

This paper presents an empirical approach that combines competing paradigms of modeling in empirical capital market research. The approach simultaneously estimates the explanatory power of fundamentals, expectations, and historic yield patterns, making it possible to test the extent to which the efficient market hypothesis, fundamental data analysis, and behavioral finance contribute to explaining stock market yield. The core of the approach is a dynamic panel model (Arellano-Bond estimator with an MA restriction of the residuals), complemented with an upstream factor analysis to reduce multicollinearity. Due to the complexity of the data set, a great many parameters that influence the yield can be determined. Highly significant parameter estimates are possible even though the information in the data set is interdependent. For the German stock market (the 160 companies listed in DAX, MDAX, SDAX, and TecDAX), the quarterly yield is analyzed for the period between 2004 and 2009. The model has high explanatory power for the entire observation period, even in light of the fact that the period includes the financial crisis of 2008