這是我們為澳洲莫納什大學的學弟做的一篇計量經濟學代寫（econometrics）范文。這篇論文主要講的是instrumental variables（工具變量）。 Instrumental variables是統計計量的有利工具，被計量經濟學家廣泛使用。一下是計量經濟學代寫節選的范文，供大家參考：
Instrumental variables are the class of variables that only have direct effects on the explanatory variables and are uncorrelated with the error term. So that they can be used to isolate the exogenous portion of movements of explanatory variables in a regression. This characteristic makes it a powerful tool for econometricians to cope with the endogeneity problems and identify the causal relationship between key economic factors from primitive statistical correlations. Therefore, since being introduced in the 1920s, it has been widely used by econometricians and become a common identification strategy in applied researches. This essay gives a critical assessment on the application of this approach in the paper “Why Do Some Countries Produce So Much More Output per Worker than Others” (Hall & Jones, 1999).
As indicated in the title, the object of the Hall and Jones  paper is to explain the vast differences in economic performance—captured by output per worker—among countries around the world. This question puzzled generations of economists in the past several decades and created a vibrant literature in applied research of developmental economics. Conventionally, economists decomposed the output per worker into three ingredients: the stock of physical capital, the human capital-augmented labor, and the productivity which is usually captured by Solow residuals. Hence the enormous difference in output per worker should be explained by these three factors. Although Hall and Jones  also followed this growth accounting approach, they argue that this approach only captured the immediate cause of economic development.
From the discuss above we can see that, although it is a novel idea to construct instruments based on the course of history, it is a tricky and never-ending task to accurately capture this historical force. There are many detailed events and policies that need to be taken into consideration. In regard to the instrumental variable estimation as an identification strategy, its power comes from our profound knowledge of the relevant factors. It will be a mistake to adopt an instrument solely by speculation. We need to think real hard about the connection of various factors, consider the possibility of different causal chain, and carefully examine our hypothesis by resorting to empirical tests.
雖然交稿很久，但出于保護客戶隱私的角度。征得客戶同意后，我們節選了這篇計量經濟學代寫范文部分段落進行暫時。 需要計量經濟學代寫，計量論文代寫，計量統計分析的同學歡迎聯系我們。EssayPhD團隊 經濟 統計大神為您服務，精通SAS、stata、R、Python、Eviews等多種計量軟件。