"We know what happened to many borrowers who received toxic loans. Those loans caused massive familial instability and really bad stuff like abandoned pets, divorce and even murder! Some places crashed more than others."
Prof. R, Werner hasa 'solution'?
“Importantly for our disaggregated quantity equation, credit creation can be disaggregated, as we can obtain and analyse information about who obtains loans and what use they are put to. Sectoral loan data provide us with information about the direction of purchasing power - something deposit aggregates cannot tell us. By institutional analysis and the use of such disaggregated credit data it can be determined, at least approximately, what share of purchasing power is primarily spent on ‘real’ transactions that are part of GDP and which part is primarily used for financial transactions. Further, transactions contributing to GDP can be divided into ‘productive’ ones that have a lower risk, as they generate income streams to service them (they can thus be referred to as sustainable or productive), and those that do not increase productivity or the stock of goods and services. Data availability is dependant on central bank publication of such data. The identification of transactions that are part of GDP and those that are not is more straight-forward, simply following the NIA rules.”
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Scott Sumner And Friends Want Unbridled Growth-Chicago School Update
"We know what happened to many borrowers who received toxic loans. Those loans caused massive familial instability and really bad stuff like abandoned pets, divorce and even murder! Some places crashed more than others."
Prof. R, Werner hasa 'solution'?
“Importantly for our disaggregated quantity equation, credit creation can be disaggregated, as we can obtain and analyse information about who obtains loans and what use they are put to. Sectoral loan data provide us with information about the direction of purchasing power - something deposit aggregates cannot tell us. By institutional analysis and the use of such disaggregated credit data it can be determined, at least approximately, what share of purchasing power is primarily spent on ‘real’ transactions that are part of GDP and which part is primarily used for financial transactions. Further, transactions contributing to GDP can be divided into ‘productive’ ones that have a lower risk, as they generate income streams to service them (they can thus be referred to as sustainable or productive), and those that do not increase productivity or the stock of goods and services. Data availability is dependant on central bank publication of such data. The identification of transactions that are part of GDP and those that are not is more straight-forward, simply following the NIA rules.”
P20
eprints.soton.ac.uk/.../Werner_IRFA_QTC_2012.pdf