scholarly journals Newer Need Not be Better: Evaluating the Penn World Tables and the World Development Indicators Using Nighttime Lights

2016 ◽  
Author(s):  
Maxim Pinkovskiy ◽  
Xavier Sala-i-Martin
2016 ◽  
Vol 9 (3) ◽  
pp. 39
Author(s):  
Alex Thomas Ijjo ◽  
Isaac M. B. Shinyekwa

Endemic supply side constraints including fluctuating output levels, deficient trade infrastructure, rampant non-tariff barriers and incapacity to ensure international quality standards continue to thwart the gainful participation of many Least Developed Countries (LDCs) in an increasingly liberal global trade environment. At its 2005 Hong Kong Ministerial Conference, the World Trade Organization launched its Aid for Trade (AFT) initiative aimed at coordinating global financial support for strengthening trade capacity in Least Developed Countries (LDCs). This paper examined the effect of foreign aid, particularly Official Development Assistance, on Uganda’s external trade and its AFT component in strengthening the country’s trade capacity. Using time series Error Correction Modelling and the World Bank’s World Development Indicators and official national statistics, the paper finds small but positive aid influence on Uganda’s exports and imports and generally close alignment between aid and national priorities. However, given general aid volatility but more especially following the anti-homosexuality legislation and gross corruption allegations in the case of Uganda, the paper advises that external aid be treated as a supplement rather than a substitute for domestic financial resource mobilization in trade capacity development.


Author(s):  
P. Wilner Jeanty

This article introduces a new Stata command, labcenswdi,1 to automatically manage databases that provide variable descriptions on the second row in a dataset. While renaming all variables and converting them from string to numeric, labcenswdi automatically manages the variable descriptions including removing them from the second row to place them into Stata variable labels and saving them to a text file. The process yields a dataset ready for statistical analysis. I illustrate how this command can be used to efficiently manage datasets obtained from the U.S. Census 2000 and the World Development Indicators databases.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John Kwaku Amoh ◽  
Kwasi Awuah-Werekoh ◽  
Kenneth Ofori-Boateng

Purpose This study aims to examine the effect of corruption on the economic growth of Ghana and to establish the strength of relationships among corrupting activities. Design/methodology/approach The research used structural equation modelling on selected data from the World Economic Forum executive opinion survey on corrupting activities and data on economic growth measures from the world development indicators to achieve the research objectives. Findings The results show that all the observed corrupting activities (except diversion of public funds) adversely influence selected economic growth indicators. The study concludes that corrupting activities, independently and mutually impede Ghana’s economic growth. Research limitations/implications The research is limited by the availability of data, hence, quarterised data on selected variables from 2008 to 2017 were examined. Practical implications The results suggest that corruption encapsulates all the seven activities of corruption to one degree or another, which are economic growth hampering. Originality/value The study extends the corruption-economic growth nexus literature by incorporating several corrupting activities from multiple sectors/areas as follows: the government and politicians, private businesses, judiciary and citizens into a single model to test how these independently and mutually impede economic growth. By identifying and using specific corrupting activities from distinct and diverse sectors/areas to capture both the supply side and demand side of corruption and the private and public sectors, a better comprehension of the corruption-economic growth nexus is attained. This may aid emerging economies and anti-corruption agencies in drafting specific and targeted corruption reduction policies/programmes to minimise poverty and raise living standards to aid the realisation of sustainable development goals.


Author(s):  
Dennis Nchor ◽  
Tomáš Konderla

The study seeks to assess the structure of the economy of Ghana in terms of changes in the economic structure before and after the production of oil in commercial quantities. This is viewed with regards to economic multipliers, sectoral interdependence and trade concentration. The results show that changes occurred with regards to multipliers and sectoral interdependence. The output multipliers of most sectors have declined. The results also show that the agricultural sector experienced an initial decline in its growth while industry experienced an increase. The performance of the services sector was relatively stable for the period covered by the study. There is a decline in the level of trade concentration though on a whole the concentration index is still high. The study employed input-output modeling techniques and the data was obtained from the Ghana statistical service and the World Development Indicators.


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