【正文】 onent of ine is only the excess of the inheritance over this element of permanent ine. There reason why the receipt of the inheritance should make consumption in the final period d ifferent from that of preceding periods, except through inability to borrow in advance on the strength of the inheritance. But this implies that the receipt of the inheritance changes w (the ratio of wealth to ine) in ()。 對于一群個體，這是一個合理的假設(shè)即永久的和暫時的收入的絕對值：給定一個隨機事件產(chǎn)生相同的百分比而不是相同的絕對增加或減少的收入與不同的永久組成部分單位。最明顯的例子是用他們的收入多少來一個分類別組。 然而，從另一個角度來看，這似乎是非常難以置信的假設(shè)?？紤]一個消費單位的收入不變，在連續(xù)的時間內(nèi)除，它接收一個繼承的最后時期。這種消極的和積極的關(guān)系往往會抵消彼此。 這些話的目的 并 不是 要 證明 零相關(guān) 是唯一可行的 假設(shè) — 也沒有那 樣的證據(jù)暗示或任何其他可以證明這樣的結(jié)論。在這種情況下，它通常是不可取的假設(shè)（ ）認(rèn)為，正如 單個個人 不承擔(dān)的短暫成分本身必然是零。對任何重大的結(jié)果，這是不確切的，而對數(shù)表達(dá)式則恰好給出了注腳。然而， 我們 在很大程度上忽略了統(tǒng)計估計問題，所以我們不需要去這樣的條件。假設(shè)之間的相關(guān)性短暫要素收入和消費是零，當(dāng)然，取而代之的是較少限制的假設(shè)，這是一個積極的數(shù)量之間的零和團結(jié)，但這將極大地削弱假設(shè)和減少其潛在的有用的預(yù)測行為。然而，正如所指出的，任何統(tǒng)計分析誤差的測量一般會制約的合并與正確衡量性成分。沒有理由為什么收到的繼承要使消費在最后一期的不同，前時期，除了通過無法借對實力的繼承。所以在很大程度上反映了肯定的答案，我相信，一個隱含的定義消費采購方面，包括濟南大學(xué)畢業(yè)論文外文資料翻譯 7 耐用消費品，而不是從服務(wù)的價值。 假設(shè)這第三個相關(guān)（ ） — 收入和消費之間的暫時部分 — 其等于零是一個大膽的假設(shè)。零相關(guān)意味著只有 39。 again the transitory ponent is only the excess of the windfall over this element of permanent ine, and it is no longer intuitively obvious that it should lead to an increase in current The second consideration is that just as there are instances in which one would expect a transitory increase in ine to produce a transitory increase in consumption, so also there are instances in which, one would expect the reverse. The simplest example is when a transitory increase in ine reduces opportunities for consumption as when it is obtained by working longer hours or going to a backward country. Such negative and positive correlations will tend to offset one another. The preceding remarks abstract from errors of measurement. Yet, as noted, in any statistical analysis errors of measurement will in general be indissolubly merged with the correctly measured transitory ponents. The effect on the correlation between statistically recorded transitory ponents of ine and consumption depends critically on how the statistical data are obtained. If ine and consumption are measured independently, the. errors of estimate might be expected to be independent as well and therefore to contribute toward a small or zero observed correlation between transitory ponents of ine and consumption. On the other hand, if consumption is estimated, as it frequently is, by measuring pendently savings and ine and subtracting the former from the latter, then measured consumption and measured ine have mon errors of measurement. This tends toward a positive observed correlation between transitory ponents of ine and consumption. The purpose of these remarks is not to demonstrate that a zero correlation is the only plausible assumption— neither eviden