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We study research designs where a binary treatment changes discontinuously at the border between administrative units such as states, counties, or municipalities, creating a treated and a control area. This type of geographically discontinuous treatment assignment can be analyzed in a standard regression discontinuity (RD) framework if the exact geographic location of each unit in the dataset is known. Such data, however, is often unavailable due to privacy considerations or measurement limitations. In the absence of geo-referenced individual-level data, two scenarios can arise depending on what kind of geographic information is available. If researchers have information about each observation’s location within aggregate but small geographic units, a modified RD framework can be applied, where the running variable is treated as discrete instead of continuous. If researchers lack this type of information and instead only have access to the location of units within coarse aggregate geographic units that are too large to be considered in an RD framework, the available coarse geographic information can be used to create a band or buffer around the border, only including in the analysis observations that fall within this band. We characterize each scenario, and also discuss several methodological challenges that are common to all research designs based on geographically discontinuous treatment assignments. We illustrate these issues with an original geographic application that studies the effect of introducing copayments for the use of the Children’s Health Insurance Program in the United States, focusing on the border between Illinois and Wisconsin.

This paper aims to derive the time-varying relative export competitiveness (REC) of the Nigerian cocoa sector against Nigeria’s share of world agricultural exports (REC_WA) and world merchandise exports (REC_WM) from 1995 to 2018. By concentrating on different factors such as demand and supply capacity, price factors and exchange rate, the authors examine the determinants of REC.

The authors calculated three different REC indexes. The authors also developed the relative symmetric export competitiveness index for comparative advantage calculation and avoiding the possible bias. The determinants of REC for Nigerian cocoa were captured using the short-run regression (SRR) model.

The study showed that Nigeria’s cocoa exports are still competitive despite experiencing some declining stages. Based on the SRR model, higher per capita income had a positive effect on the REC, while higher domestic prices significantly reduced the REC of cocoa. Further, the African Growth Opportunity Act agreement adversely affected the REC of cocoa.

This study provides a foundation for future research and enhances the literature on agricultural trade. This research makes a few contributions both from a scientific and a policy perspective. First, it is the first study on the REC analysis for the Nigerian cocoa industry. Second, a wide range of comparisons of REC among the world’s largest cocoa exporters was provided following implications of the various economic policies and local policy strategies. Third, the latest 24-year data sets were covered.

The purpose of this paper is to investigate and assess the trends of bilateral services trade in the world segmented by trade for final consumption and intermediate usage across several service sectors. The differential trends, if any, are studied while examining the role of free trade agreements which have a chapter on services trade as well as the role of services trade restrictions. The study unravels differences across service sectors in this respect.

The author uses an augmented gravity model to address the above using OECD- World Trade Organization (WTO) TiVA data for bilateral trade in intermediates and final products (October 2015 release) and World Bank Services Trade Restrictions Index (STRI). The poisson pseudo maximum likelihood estimation technique is used in light of the structure of the data. Trade creating and diverting effects are identified controlling for time and country-time specific effects. The following sectors are specifically looked at: total business sector services, computer and related services, financial intermediation, post and telecommunication, transport and storage, R&D and other business services, hotels and restaurants, construction, and wholesale and retail trade.

First, services free trade agreements (FTAs) have had a trade creating impact with no trade diverting impact for services trade in aggregate with stronger effects on services traded for intermediate usage. Second, financial intermediation and post and telecommunication have been left unaffected by services FTAs. While no trade diversion is concluded for any sector, R&D and other business services, transport and storage and wholesale retail trade show maximum trade creation effects in response to FTAs. Third, trade restrictions of mainly OECD countries are responsible for lowering exports for most sectors. Finally, in terms of policy implications, at a general level, the author does not find a significant difference in the author’s results for services traded for intermediate usage or final consumption except for a stronger effect of FTAs on intermediate services trade. Hence, the policies to foster services trade on both counts are concluded to be the same and deal with behind-the-border policies of domestic industrial policy reforms like national treatment of foreign firms, licensing requirements, FDI policies, etc.

Statistics for services trade are limited. The data are only available for the years 1995, 2000, 2005, 2008, 2009, 2010 and 2011. Additionally, the conclusions on services trade restrictions are based on statistics for 2011 alone, since this is the only year for which the statistics are available. A complete time series for the entire sample period would increase robustness of the study with a better time variant version of the trade restrictiveness variable. Finally, in the construction of the OECD-WTO-TiVA database of a world IO table, there may have been approximations in constructing statistics for services traded for intermediate usage and final consumption. The results remain sensitive to the same but this is the best possible statistics available for the purposes.

This is the first study which looks at services trade segmented by trade for final consumption and intermediate usage taking advantage of the available data for a number of service sectors. The role of restrictions is also studied for the first time segmented by trade in intermediates and final consumption. The stronger effects of FTAs on intermediate services trade as well as financial intermediation and post and telecommunication services being insulated from effects of FTAs are important findings, especially since services are mainly thought to be traded for final consumption. Similar trends of results for services traded for intermediate usage and final consumption and restrictions affecting exports from exporter countries and imports by importer countries highlight the importance of behind-the-border domestic policies in facilitating or inhibiting services trade on both counts and more importantly for intermediate usage which, in turn, would improve goods tradability.

I show that the equilibrium distribution of matches associated with the empirical transferable utility one-to-one matching (TUM) model introduced by Choo and Siow (2006a, 2006b) corresponds to the fixed point of system of K + L nonlinear equations; with K and L respectively equal to the number of discrete types of women and men. I use this representation to derive new comparative static results, showing how the match distribution varies with match surplus and the marginal distributions of agent types.

Nearest neighbor imputation has a long tradition for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the nearest neighbor imputation estimator for general population parameters, including population means, proportions and quantiles. For variance estimation, we propose novel replication variance estimation, which is asymptotically valid and straightforward to implement. The main idea is to construct replicates of the estimator directly based on its asymptotically linear terms, instead of individual records of variables. The simulation results show that nearest neighbor imputation and the proposed variance estimation provide valid inferences for general population parameters.

Lechner and Miquel (2001) approached the causal analysis of sequences of interventions from a potential outcome perspective based on selection-on-observables-type assumptions (sequential conditional independence assumptions). Lechner (2004) proposed matching estimators for this framework. However, many practical issues that might have substantial consequences for the interpretation of the results have not been thoroughly investigated so far. This chapter discusses some of these practical issues. The discussion is related to estimates based on an artificial data set for which the true values of the parameters are known and that shares many features of data that could be used for an empirical dynamic matching analysis.

Since 2000, China, along with the USA, UK, France, Japan and many other developed countries have drawn up new blueprints for the development of a marine economy. At present, international marine economics research has entered into a new period of development, and the research methods of ocean econometrics are becoming more complex and mature. The purpose of this paper is to review the progress of international marine econometrics research and gives the development direction of marine econometrics.

The Web of Science core collection database was utilized, harvesting data from 1996 to May 2018, measuring the marine economy research from 1,489 articles as its sample, using CiteSpace visualization analysis tools.

Mapping the knowledge map from annual international marine economic metrology, literature identification, keywords, involving disciplines and related journals, countries (regions) and research and analyzing the research status of reveals the research frontiers of international marine economy measurement (learning) by using CiteSpace.

The conceptions and characteristics of marine econometrics are defined and analyzed, and the theoretical method of marine econometrics is sorted out. Mapping the knowledge diagram of marine econometrics and discussing the research status of international marine economics, and clarifying the existing problems, future opportunities and challenges of international marine econometrics research.

What would have been the hypothetical effect of monetary policy shocks had a country never joined the euro area, in cases where we know that the country in question actually did join the euro area? It is one thing to investigate the impact of joining a monetary union, but quite another to examine two things at once: joining the union and experiencing actual monetary policy shocks. The authors propose a methodology that combines synthetic control ideas with the impulse response functions to uncover dynamic response paths for treated and untreated units, controlling for common unobserved factors. Focusing on the largest euro area countries, Germany, France, and Italy, the authors find that an unexpected rise in interest rates depresses inflation and significantly appreciates exchange rate, whereas gross domestic product (GDP) fluctuations are less successfully controlled when a country belongs to the monetary union than would have been the case under the independent monetary policy. Importantly, Italy turns out to be the overall beneficiary, since all three channels – price, GDP, and exchange rate – deliver the desired results. The authors also find that stabilizing an economy within a union requires somewhat smaller policy changes than attempting to stabilize it individually, and therefore provides more policy space.

This study aims to explore the role of formal education in managerial career attainment and how this role has changed over time.

The personnel records of two cohorts of managers who entered the firm at different times in a large internal labor market company were examined. The study encompassed years of education, subject of degree, timing of degree conferral, and quality of educational institution. Career attainment was regressed on the control variables and the hypothesized predictor variables using hierarchical multiple regression analysis.

The research suggests that the importance of having an undergraduate degree seems to be increasing, while the importance of the selectivity of the university seems to be decreasing with respect to career attainment. Also, majoring in business continues to be an important factor related to career attainment.

Future research focusing specifically on the differences in managerial career attainment of individuals who stay with their initial firm versus those who change employers would be beneficial. It would also be interesting to focus on the different reasons why people go back to school to obtain a degree.

Obtaining a degree after entering the firm was not related to career attainment. Universities have advocated the benefits of obtaining a degree to students who are already in the workforce. These results must be investigated further.

The data for this study were obtained from occupational records and allowed a more detailed analysis of an actual internal labor market organization and a longitudinal look at the changing role of education in relationship to career attainment.

This article estimates the loan spread equation taking into account the endogenous matching between banks and firms in the loan market. To overcome the endogeneity problem, I supplement the loan spread equation with a two-sided matching model and estimate them jointly. Bayesian inference is feasible using a Gibbs sampling algorithm that performs Markov chain Monte Carlo (MCMC) simulations. I find that medium-sized banks and firms tend to be the most attractive partners, and that liquidity is also a consideration in choosing partners. Furthermore, banks with higher monitoring ability charge higher spreads, and firms that are more leveraged or less liquid are charged higher spreads.