True, in some cases corrupt governments have borrowed money from these institutions and/or directly from various donor nations and ended up using that money to pursue conflicts, for arms deals, or to divert resources away from their people. However, in most cases that has been done knowingly, with the support of various rich nations due to their own national interests , especially during the Cold War. As Oxfam says , it would be wrong to hold civilians to ransom by placing stringent conditions on humanitarian relief because of the way their government spends its money.
This next page is a reposting of a flyer about a new book from . Smith and the Institute for Economic Democracy, whom I thank for their kind permission. The book is called Economic Democracy: The Political Struggle Of The 21st Century. Typically on this site, I do not advertise books etc, (although I will cite from and link to some, where relevant). However, in this case, I found that the text in the flyer provides an excellent summary of poverty's historic roots, as well as of the multitude of issues that cause poverty. (Please also note that I do not make any proceeds from the sale of this book in any way.)
For nonexperimental data, causal direction can often be inferred if information about time is available. This is because (according to many, though not all, theories) causes must precede their effects temporally. This can be determined by statistical time series models, for instance, or with a statistical test based on the idea of Granger causality , or by direct experimental manipulation. The use of temporal data can permit statistical tests of a pre-existing theory of causal direction. For instance, our degree of confidence in the direction and nature of causality is much greater when supported by cross-correlations , ARIMA models, or cross-spectral analysis using vector time series data than by cross-sectional data .