Browsing by Person "Schneider, Sophie Therese"

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North-South trade agreements and the quality of institutions: panel data evidence
(2018) Schneider, Sophie Therese
Since 1990, not only the number of signed preferential trade agreements (PTAs) has increased, but also their depth. That means, PTAs include comprehensive rules, which go way beyond tariff reductions, such as property rights, competition or investment provisions. This paper argues that especially in North-South agreements there is a diffusion of institutional quality from developed to developing countries. First, a PTA may affect institutions because it can serve as a network for political exchange and second, the regulations and commitments stipulated in it may affect local institutions in the South. I empirically investigate if there are positive effects of being a member in a PTA on the quality of institutions in developing countries by accounting for the number and the depth of PTAs using the Design of Trade Agreements (DESTA) database, established by Dür, Baccini and Elsig (2014). I create a large panel data set covering 32 years to account for endogeneity of several controls. The results support the hypothesis that deep PTAs lead to an improved quality of institutions in the South. The results differ with respect to the type of agreement and region.
Trade integration, global capital flows and the link to institutional quality from a North-South perspective
(2020) Schneider, Sophie Therese; Jung, Benjamin
This doctoral thesis is a cumulative dissertation containing three essays. In the first essay, I create a panel data set of North-South preferential trade agreements (PTAs) building on the comprehensive database on the design of trade agreements (DESTA). I analyze the effects of the depth and number of PTAs signed on the quality of institutions in developing countries, the global South, measured as the political risk component investment profile of the ICRG database. I show that the system GMM is the appropriate estimator to apply for my empirical analysis to account for various sources of endogeneity. I show that signing deep North-South PTAs positively affects institutions in the South. The results differ with respect to the type of agreement and region. The second essay deals with the determinants of PTAs focusing on institutional distance as a driving factor and regarding PTAs as an instrument to compensate for missing institutions. I argue that the effect of institutional distance is specifically important (1) in a North-South trade relationship where institutional distance is particularly large and (2) if countries trade a large share of contract-intensive goods. For this analysis I create a panel data set including a large number of developing countries and a variable to measure the difference of the share of bilateral contract-intensive exports and show that a linear probability model for discrete choice panel data is a suitable estimator to be used. I address endogeneity using an instrument variable (IV) approach. I show that institutional distance promotes the formation of PTAs. Comparing this effect for North-North, North-South, and South-South country pairs reveals that the positive effect of institutional distance on the probability of PTA formation is specifically high for the formation of North-South PTAs. Furthermore, I find that the effect is nonlinear and that trading contract-intensive goods reinforces the positive effect of institutional distance for the formation of North-South PTAs and may offset negative effects. Robustness checks with regard to the underlying sample reveal that the effect of institutional distance is driven by North-South relationships involving the EU. Essay 3 is dedicated to global investment flows and aims at deriving a global model to determine the factors of foreign direct investment (FDI) by considering investment flows between and within North and South. We empirically estimate and assess global FDI models, namely the gravity and knowledge capital (KK) model, based on the new CDIS data set by the IMF, which includes a large number of developing and transition countries. This allows us to detect potential vertical motives for FDI and to address the global trend of increasing FDI from and to the global South. We find the gravity model to achieve the best theory-consistent out-of-sample prediction, particularly when parameter heterogeneity of South and North FDI is allowed for. Controlling for surrounding market potential is important to recover the horizontal effect of the gravity model. Including institutional, cultural, or financial factors does not improve the model performance distinctly although results for those variables are mostly in line with theory.