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Using Little's Law, one can calculate throughput with the equation: = where: I is the number of units contained within the system, inventory; T is the time it takes for all the inventory to go through the process, flow time; R is the rate at which the process is delivering throughput, flow rate or throughput.
Throughput (T) is the rate at which the system produces "goal units". When the goal units are money [ 8 ] (in for-profit businesses), throughput is net sales (S) less totally variable cost (TVC), generally the cost of the raw materials (T = S – TVC).
Multiplying the set of processes would give you Rolling throughput yield (RTY). RTY is equal to FPYofA * FPYofB * FPYofC * FPYofD = 0.8500 * 0.8889 * 0.8125 * 0.8267 = 0.5075 Notice that the number of units going into each next process does not change from the original example, as that number of good units did, indeed, enter the next process.
In addition to the absolute pass-through that uses incremental values (i.e., $2 cost shock causing $1 increase in price yields a 50% pass-through rate), some researchers use pass-through elasticity, where the ratio is calculated based on percentage change of price and cost (for example, with elasticity of 0.5, a 2% increase in cost yields a 1% increase in price).
Formally, exchange-rate pass-through is the elasticity of local-currency import prices with respect to the local-currency price of foreign currency. It is often measured as the percentage change , in the local currency , of import prices resulting from a one percent change in the exchange rate between the exporting and importing countries. [ 1 ]
In monetary economics, the equation of exchange is the relation: = where, for a given period, is the total money supply in circulation on average in an economy. is the velocity of money, that is the average frequency with which a unit of money is spent.
For example, higher tariffs could help boost American manufacturing jobs if more businesses decide they want their goods made domestically to avoid the added cost of importing.
The Solow residual is a number describing empirical productivity growth in an economy from year to year and decade to decade. Robert Solow, the Nobel Memorial Prize in Economic Sciences-winning economist, defined rising productivity as rising output with constant capital and labor input.