计量经济学stata论文--英文个人版 

Graduates to apply for the quantitative analysis of changes in number of graduate

students

一Topics raised

In this paper, the total number of students from graduate students (variable) multivariate analysis (see below) specific analysis, and collect relevant data, model building, this quantitative analysis. The number of relations between the school the total number of graduate students with the major factors, according to the size of the various factors in the coefficient in the model equations, analyze the importance of various factors, exactly what factors in changes in the number of graduate students aspects play a key role in and changes in the trend for future graduate students to our proposal.

The main factors affect changes in the total number of graduate students for students are as follows：

Per capita GDP - which is affecting an important factor to the total number of students in the graduate students (graduate school is not a small cost, and only have a certain economic base have more opportunities for post-graduate)

The total population - it will affect the total number of students in graduate students is an important factor (it can be said to affect it is based on source)

The number of unemployed persons - this is the impact of a direct factor of the total number of students in the graduate students (it is precisely because of the high unemployment rate, will more people choose Kaoyan will be their own employment weights)

Number of colleges and universities - which is to influence precisely because of the emergence of more institutions of higher learning in the school the total number of graduate students is not a small factor (to allow more people to participate in Kaoyan)

二 Establish Model

Y=α+β1X1+β2X2+β3X3+β4X4 +u Among them, the

Y-in the total number of graduate students (variable) X1 - per capita GDP (explanatory variables) X2 - the total population (explanatory variables)

X3 - the number of unemployed persons (explanatory variables) X4 - the number of colleges and universities (explanatory variables)

三、Data collection

1. date Explain

Here, using the same area (ie, China) time-series data were fitted

2. Data collection

Time series data from 1986 to 2005, the specific circumstances are shown in Table 1

Table 1： Y 1986 110371 1987 120191 1988 112776 1989 101339 1990 93018 1991 88128 1992 94164 1993 106771 1994 127935 1995 145443 1996 163322 1997 176353 1998 198885 1999 233513 2000 301239 2001 393256 2002 500980 2003 651260 2004 819896 2005

X1 963 1112 1366 1519 1644 1893 2311 2998 4044 5046 5846 6420 6796 7159 7858 8622 9398 10542 12336 14040

X2 107507 109300 111026 112704 114333 115823 117171 118517 119850 121121 122389 123626 124761 125786 126743 127627 128453 129227 129988 130756

X3 264.4 276.6 296.2 377.9 383.2 352.2 363.9 420.1 476.4 519.6 552.8 576.8 571 575 595 681 770 800 827 839

X4 1054 1063 1075 1075 1075 1075 1053 1065 1080 1054 1032 1020 1022 1071 1041 1225 1396 1552 1731 1792

978610

四、Model parameter estimation, inspection and correction

1. Model parameter estimation and its economic significance, statistical inference test

. twoway(scatter Y X1)

600000200000400000Y008000001.0e+065000X11000015000

twoway(scatter Y X2) 1.0e+06600000200000400000Y0105000800000110000115000X2120000125000130000

twoway(scatter Y X3)

600000200000400000Y02008000001.0e+06400X3600800

twoway(scatter Y X4) 1.0e+06600000200000400000Y0100080000012001400X416001800

graph twoway lfit y X1

Fitted values200000400000600000800000005000X11000015000

graph twoway lfit y X2 600000Fitted values200000400000-2000000105000110000115000X2120000125000130000

graph twoway lfit y X3