tiểu luận kinh tế lượng THE IMPACT OF SOME FACTORS ON THE NUMBER OF NEW BUSINESS REGISTERED IN ASIAN COUNTRIES

FOREIGN TRADE UNIVERSITY FACULTY OF INTERNATIONAL ECONOMICS  ECONOMETRICS REPORT THE IMPACT OF SOME FACTORS ON THE NUMBER OF NEW BUSINESS REGISTERED IN ASIAN COUNTRIES DURING 2006-2016 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Group : Nguyen Van Anh – ID: 1813340006 Dang Phuong Ha – ID: 1813340021 Duong Hieu Hanh – ID: 1817340025 Ngo Quynh Trang – ID: 1816340067 Class : KTEE310(1-1920).1_LT Instructor : Dr Nguyen Thuy Quynh Hanoi, December 2019 Contents ABSTRACT INTRODUCTION .2 Chapter OVERVIEW OF THE TOPIC .3 1.1 Some definitions 1.1.1 Business registration 1.1.2 Time required to start a new business 1.1.3 Tax payment 1.1.4 Foreign direct investment 1.1.5 Start – up interaction procedure 1.2 Economics theories 1.2.1 The effect of Time required to start a new business (TIME) on the number of new business registered 1.2.2 The effect of tax payment (TAX) on the number of new business registered 1.2.3 The effect of Foreign Direct Investment (FDI) on the number of new business registered .6 1.2.4 The effect of Start-up interaction procedures (SP) on the number of new business registered 1.3 Related published researches Chapter MODEL SPECIFICATION 2.1 Methodology in the study 2.1.1 Method to derive the model .8 2.1.2 Method to collect and analyze the data LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 2.2 Population Regression Model 2.3 Sample Regression Model 2.4 Explanation of the variables .9 2.5 Description of the data 10 2.5.1 Data sources .10 2.5.2 Statistical description of the variables 10 2.5.3 Correlation matrix between variables .11 Chapter ESTIMATED MODEL AND STATISTICAL INFERENCE 14 3.1 Estimated Model .14 3.1.1 Estimation result 14 3.1.2 The sample regression model 14 3.1.3 The coefficient of determination 14 3.1.4 Meanings of estimated coefficients 15 3.1.5 Other indicators: 16 3.2 Check the form, multicollinearity and heteroscedasticity 16 3.2.1 Form of model 16 3.2.2 Multicollinearity 17 3.2.3 Heteroscedasticity 19 3.3 Hypothesis testing 20 3.3.1 Testing an individual regression coefficient .21 3.3.2 Testing the significance of the model .23 3.4 Recommendations 25 CONCLUSION 26 REFERENCES 27 APPENDIX 28 6.1 The dataset of eight ASIAN countries during 2006-2016 28 6.2 Do - file 33 6.2.1 The output of the command sum NBR TIME TAX FDI SP .33 6.2.2 The output of the command corr NBR TIME TAX FDI SP 33 6.2.3 The output of the command reg NBR TIME TAX FDI SP 34 6.2.4 The output of the command ovtest 34 6.2.5 The output of the command estat vif 34 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 6.2.6 The output of the command hettest 34 6.2.7 The output of the command imtest, white 35 6.2.8 The output of the command reg NBR TIME TAX FDI SP, robust 35 INDIVIDUAL ASSESSMENT 36 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com ABSTRACT In today’s time, the start-up trend is getting more and more prevalent than ever Before actually starting a business and making money from it, it is necessary that you register your business Business registration means sending in an application with information about the business. More specifically, it means putting your company's information - your business name or your tax data, for instance - in the government's files However, there are factors that have an influence on this decision Our group, in hope of providing a deeper insight on this field and deriving a conclusion that could be of assistance to entrepreneurs, businessmen and others, decided to choose the topic “The impact of some factors on the number of new business registered in some Asian countries during 2006-2016” This report investigates the determinants of new business registration in selected Asian countries namely Armenia, Buhtan, Israel, Korea, Malaysia, Tajikistan, Uzberkistan and Vietnam Due to limited data resources, we can only pick up a few prominent factors of those countries during the aforementioned period, which are time required to start a new business, tax payment, foreign direct investment and startup procedures We aim to provide deeper analysis on each factor affecting the number of new business registered in each country mentioned above LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com INTRODUCTION Econometrics is the quantitative application of statistical and mathematical models using data to develop theories or test existing hypotheses in economics It subjects realworld data to statistical trials and then compares and contrasts the results against the theory or theories being tested Econometrics relies on techniques such as regression models and null hypothesis testing and it can also be used to try to forecast future economic or financial trends Business registration has an important impact on social and economic growth of the country After researching process, we acknowledged the significant importance of new business registration as well as analyzing the basic factors that may affect the number of business registered in the economy That is also the reason why our group decided to choose this topic In the report, we will use the econometric model to find out the impact of factors (time required to start a new business, tax payment, foreign direct investment and startup procedures) on number of new business registered by using collected data from world bank and others sources, whether they have positive or negative effect And from the result, we may have some solutions to develop good factors as well as overcome negative ones As Economics students, we recognize the important of econometrics in social economics In order to understand how the econometrics works in real life and to apply econometrics effectively and correctly, we acknowledge Dr Nguyen Thuy Quynh who was our instructor in this course, for the valuable support and assiduous assistance in developing the proposal for this project In this report, we used the econometrics analysis tool Stata to analyze the topic “The impact of some factors on the number of new business registered in some Asian countries during 2006-2016” The report contains the following contents: LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com  CHAPTER 1: OVERVIEW OF THE TOPIC  CHAPTER 2: MODEL SPECIFICATION  CHAPTER 3: ESTIMATED MODEL AND STATISTICAL INFERENCES  CONCLUSION  REFERENCES  APPENDIX  INDIVIDUAL ASSESSMENT During the process of making this report, due to the limited amount of time as well as some certain limits in understanding and data collecting, despite all the efforts, the report may hardly avoid mistakes We are always willing to receive your comments so that our group can improve and complete this report Many thanks! Chapter OVERVIEW OF THE TOPIC 1.1 Some definitions 1.1.1 Business registration A business is defined as an organization or enterprising entity engaged in commercial, industrial, or professional activities Businesses can be for-profit entities or non-profit organizations that operate to fulfill a charitable mission or further a social cause. The term business also refers to the organized efforts and activities of individuals to produce and sell goods and services for profit Businesses range in scale from a sole proprietorship to an international corporation Several lines of theory are engaged with understanding business administration including organizational behavior, organization theory, and strategic management Business registration is a written acknowledgment of a competent state agency legally establishing the business entity Businesses need to register with state or local government as well as take out licenses The license authorizes the business LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com to open and operate Registering one business puts the company's information - the business name or tax data, for instance, in the government's files 1.1.2 Time required to start a new business Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen The length of time it takes to start a business depends on the type of business, the complexity of the business, and the type of location 1.1.3 Tax payment Taxes are involuntary fees levied on individuals or corporations and enforced by a government entity whether local, regional or national, in order to finance government activities In economics, taxes fall on whomever pays the burden of the tax, whether this is the entity being taxed, such as a business, or the end consumers of the business's goods 1.1.4 Foreign direct investment Foreign direct investment (FDI) is an investment made by a firm or individual in one country into business interests located in another country Generally, FDI takes place when an investor establishes foreign business operations or acquires foreign business assets, including establishing ownership or controlling interest in a foreign company 1.1.5 Start – up interaction procedure Start-up procedure is required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations It is a procedural cycle for a start-up that can be considered complete when a company is fully operational to develop its economic activities Data are for businesses with specific characteristics of ownership, size, and type of production Evidence shows that the less burdensome the administrative procedures for setting up a comp any are, the higher the rate of business start-ups is LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Continuing with administrative simplification is therefore a top priority for the Commission 1.2 Economics theories Our team’s research focuses on determining the elements which affect the number of new business registered Some factors substantially affecting the number of new business registered are: Time required to start a new business, tax payment, foreign direct investment and start-up procedures 1.2.1 The effect of Time required to start a new business (TIME) on the number of new business registered Even when you already had a great idea for a business, and you are ready to get started immediately, there are certain steps you need to take and the process of a business startup can take a while The length of time it takes to start a business depends on the type of business, the complexity of the business, and the type of location It is clear that the less time required to finish all the procedures of starting a new business there is, the more encouraged and driven you are to send in your business registration, and thus, leading to an increased number of new business registered So, the time it takes to start a business and the number of new business registered are negatively correlated 1.2.2 The effect of tax payment (TAX) on the number of new business registered Taxation contributes greatly to whether a person or an organization decides to register their business Tax affairs of a business become much more complicated than that of an individual or an employee Various federal, state and local government taxes and rates can apply, depending on the size and location of the business It is also widely known that taxation policy affects business costs Due to the fact that there is a positive correlation between these two factors, a rise in corporation tax, for example, can have the same effect as an increase in costs Other business taxes are environmental taxes (e.g landfill tax), VAT (value added tax), capital gains tax, property tax, tax on dividends, etc Therefore, taxes can have a considerable impact on business registration LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com  For the variable TIME, |t s| = 0.56 < 2.283  accept H0 and reject H1 Therefore, the regression coefficient of TIME is not statistically significant at a significance level of 5%  For the variable TAX, |t s| = 0.62 < 2.283  accept H0 and reject H1 Therefore, the regression coefficient of TAX is not statistically significant at a significance level of 5%  For the variable FDI, |t s| = 7.8 > 2.283  accept H1 and reject H0 Therefore, the regression coefficient of TIME is statistically significant at a significance level of 5%  For the variable SP, |t s| = 1.86 < 2.283  accept H0 and reject H1 Therefore, the regression coefficient of SP is not statistically significant at a significance level of 5%  For the variable SP, |t s| = 0.48 < 2.283  accept H0 and reject H1 Therefore, the regression coefficient of constant is not statistically significant at a significance level of 5% 3.3.1.3 P-value approach In STATA, we use commend to have this below table reg NBR TIME TAX FDI SP NBR P>|t | TIME 0.566 TAX 0.505 FDI 0.000 SP 0.050 _cons 0.687 22 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com  From this table, we can see that the variable TIME has P-value which is equal to 0.566, which is less than 0.1 Therefore, the regression coefficient of TIME is statistically significant at a significance level of 10% In particular, with the sample we have, the estimated result shows that when TIME increase of day and holding other factors unchanged, NBR decreases by 31.7625 business  From this table, we can see that the variable TAX has P-value which is equal to 0.505, which is less than 0.1 Therefore, the regression coefficient of TAX is statistically significant at a significance level of 10% In particular, with the sample we have, the estimated result shows that when TAX increase of unit and holding other factors unchanged, NBR decreases by 8.4 business  From this table, we can see that the variable FDI has P-value which is equal to 0, which is less than 0.01 Therefore, the regression coefficient of FDI is statistically significant at a significance level of 1% In particular, with the sample we have, the estimated result shows that when FDI increase of 10 million USD and holding other factors unchanged, NBR increases by 464,72 business  From this table, we can see that the variable SP has P-value which is equal to 0.687, which is less than 0.1 Therefore, the regression coefficient of SP is statistically significant at a significance level of 10% In particular, with the sample we have, the estimated result shows that when SP increase of unit and holding other factors unchanged, NBR increases by 1833.61 business  From this table, we can see that the variable constant has P-value which is equal to 0.687, which is less than 0.1 Therefore, the regression coefficient of constant is statistically significant at a significance level of 10% In particular, with the sample we have, the estimated result shows that when constant increase of unit and holding other factors unchanged, NBR decreases by 4442.612 units 3.3.2 Testing the significance of the model 23 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Hypotheses: { H : β 2=β 3=β 4= β5 =0 H : β 2 + β3 + β + β ≠ H : R =0 Equivalent hypotheses: H1 : R ≠ { 3.3.2.1 The F-test 5−1 The critical F-value: F k−1 n−k = F 88−5 = F 83 = 2.482 The formula to find test statistic: Fs 0.5114 ×(88−5) R (n−k ) Fs = = 21.7183 = (k −1)(1−R ) (5−1)(1−0.5114) We can easily see that Fs = 21.7183 > F = 2.482 reject H0, accept H1 Therefore, the overall model is statistically significant at a significance level of 5% 3.3.2.2 The P-value approach According to the result from Stata, we have the P-value =0.000 < 0.05 As a result, we can reject H0 Therefore, the overall model is statistically significance at a significance level of 5% In conclusion, by comparing two methods, we can conclude that the overal model is statistically fitted at the significance level of 5% Theoretically, it is shown that:  When time required to start a new business increases and holding other variables remain unchanged, the number of new registered business is expected to decrease, and vice versa  When tax payment increases and holding other variables remain unchanged, the number of new registered business is expected to decrease, and vice versa  When foreign direct investment increases and holding other variables remain unchanged, the number of new registered business is expected to increase, and vice versa 24 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com  When start-up interaction procedures increases and holding other variables remain unchanged, the number of new registered business is expected to increase, and vice versa Meanwhile, the estimated coefficients of each variables are:  β 2=−0.0317625 The estimated coefficients of time required to start a new business ^ , which is smaller than  β 3=−0.0840096 , which is smaller than The estimated coefficients of tax payment ^  β =0.4647216, which is The estimated coefficients of foreign direct investment ^ larger than  The estimated coefficients of start-up interaction procedures ^ β 5=1.833611, which is larger than Therefore, all the results of this model are consistent with the economic theories 3.4 Recommendations The number of new registered businesses is directly affected by time required to start a new business, tax payment, foreign direct investment and start-up interaction procedures Increase foreign direct investment by developing new technology and improving labor qualifications to attract more foreign investment The more foreign direct investment, the more new business is registered Moreover, time required to start a new business can be reduced by lessening some unnecessary and complex proceedings Therefore, the time required to start a new business may be decreased As a result, the more new business is registered In contrast, we may have to accept the existence of tax payment However, the Government should have some incentive policies about tax in order to encourage the registration of new business 25 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com CONCLUSION Our research is implemented in order to examine the relationship of time required to start a new business, tax payment, foreign direct investment and start-up interaction procedures on the number of new registered businesses The results we have after examining is consistant with the economic theories This report is completed on the dedicated contribution of each member and the knowledge from our study in Econometrics This research has provided us with a good opportunity to practice what we have learned and to get a deeper understanding of data analysis and relevant testing From this useful application, we hope that our research can somehow suggest the relationship between the number of new registered businesses and some other factors We would like to thank Dr Nguyen Thuy Quynh once again for your useful guidance and suggestions to help us finish the report in the right direction However, due to the limitation of understanding and resources, our report may contain misinterpretations We hope that teachers and readers can give us constructive comments on the report so that we would improve ourselves and better in the future 26 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com REFERENCES Chapter Chapter 5.1 Chris Brooks, “Introductory econometrics for finance”, 3rd Edition 5.2 Damolar N Gujarati, and Dawn C Porter, “Basic Econometrics”, th Edition 5.3 Jonathan Munemo, March 2014, “Business start-up regulations and the complementarity between foreign and domestic investment” https://link.springer.com/article/10.1007/s10290-014-0189-2? fbclid=IwAR2CJWINJutwqJ_IBa6IwYSdttGCFxl8EnWmo8tduFanWdpTdFAMih_dz7 M 5.4 Adam Hayes, April 2019, “Business” https://www.investopedia.com/terms/b/business.asp 5.5 Business.tax.gov.au, July 2019, “Taxation affecting your business” https://www.business.tas.gov.au/finances-tax-and-insurance/taxation-affecting-yourbusiness? fbclid=IwAR0h1B9J1rwxddvHeILxFmFXdU683FCrEFCsIMCZdKBr0Hv26T_TdHXU 2ws 5.6 Business Case Studies, August 2019, “how-businesses-are-affected-bygovernment-policy” https://businesscasestudies.co.uk/how-businesses-are-affected-by-government-policy/? fbclid=IwAR0DyHev1a4PV3BvPgIoz9QRt8JS196-IPIjUp5jLEwecqdpkuV04euzHh0 27 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com APPENDIX Chapter 6.1 The dataset of eight ASIAN countries during 2006-2016 Obs Country Year NBR TIME TAX FDI SP Armenia 2006 2,474 54 46,65319919 Armenia 2007 3,290 54 66,76715621 Armenia 2008 3,344 54 94,37330595 Armenia 2009 2,575 54 76,00407459 Armenia 2010 2,527 54 52,93213916 6 Armenia 2011 2,671 38 65,32197565 Armenia 2012 3,178 17 49,66367011 Armenia 2013 3,172 14 34,60923944 Armenia 2014 3,213 14 40,65784067 10 Armenia 2015 3,556 14 18,41279863 11 Armenia 2016 3,573 14 33,37333141 12 Bhutan 2006 0,010 92 18 6,12270214 10 13 Bhutan 2007 0,011 92 18 7,38557698 14 Bhutan 2008 0,021 92 18 3,14400102 28 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 15 Bhutan 2009 0,014 92 18 1,82997072 16 Bhutan 2010 0,018 92 18 0,75274009 17 Bhutan 2011 0,023 92 18 3,11416149 18 Bhutan 2012 0,082 92 18 2,43806736 19 Bhutan 2013 0,024 92 18 2,04336311 20 Bhutan 2014 0,029 92 18 2,35349318 21 Bhutan 2015 0,047 77 18 6,45095385 22 Bhutan 2016 0,047 77 18 1,18841623 23 Israel 2006 14,217 144 29 14,39550000 24 Israel 2007 15,871 144 28 87,98100000 25 Israel 2008 14,836 144 28 10,27420000 26 Israel 2009 15,211 144 28 46,06900000 27 Israel 2010 16,898 144 28 69,84700000 28 Israel 2011 16,383 144 28 86,53000000 29 Israel 2012 14,504 81 28 90,17300000 30 Israel 2013 14,476 81 28 11,84220000 31 Israel 2014 15,680 81 28 60,48900000 32 Israel 2015 16,740 81 28 113,36200000 29 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 33 Israel 2016 17,802 81 28 119,88000000 34 Korea 2006 50,289 9,5 15 91,61900000 10 35 Korea 2007 53,227 9,5 15 88,26900000 10 36 Korea 2008 50,505 9,5 15 111,87500000 10 37 Korea 2009 56,337 15 90,21900000 38 Korea 2010 60,312 15 94,97400000 39 Korea 2011 65,110 13 97,73000000 40 Korea 2012 74,162 11 94,95900000 41 Korea 2013 75,574 11 127,66600000 42 Korea 2014 84,697 11 92,73600000 43 Korea 2015 93,768 6,5 12 41,04100000 44 Korea 2016 96,155 5,5 12 121,04300000 45 Malaysia 2006 38,293 146 35 76,90731246 10 46 Malaysia 2007 43,337 146 35 90,71369835 10 47 Malaysia 2008 41,623 146 12 75,72512432 10 48 Malaysia 2009 41,638 146 12 11,46644346 10 49 Malaysia 2010 44,202 50 12 108,85614182 50 Malaysia 2011 45,455 50 13 151,19371191 30 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 51 Malaysia 2012 45,441 16 13 88,95774251 52 Malaysia 2013 46,321 13 13 112,96279514 53 Malaysia 2014 49,203 13 13 106,19431583 54 Malaysia 2015 49,510 13 13 98,57162112 55 Malaysia 2016 46,555 13 134,70089921 56 Tajikistan 2006 0,878 37 69 3,38627400 14 57 Tajikistan 2007 0,885 37 69 3,59967400 13 58 Tajikistan 2008 1,080 37 69 4,86614340 13 59 Tajikistan 2009 1,855 37 69 1,49060550 12 60 Tajikistan 2010 2,178 37 69 0,93940670 61 Tajikistan 2011 1,242 37 69 1,45883670 62 Tajikistan 2012 1,272 37 73 2,41736370 63 Tajikistan 2013 5,555 37 73 2,83140730 64 Tajikistan 2014 1,514 37 40 3,26593810 65 Tajikistan 2015 1,218 37 28 4,54012320 66 Tajikistan 2016 0,984 34 13 24,16162672 67 Uzberkistan 2006 7,554 62 70 1,73800000 10 68 Uzberkistan 2007 8,605 62 58 7,05200000 31 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 69 Uzberkistan 2008 9,084 62 58 7,11300000 70 Uzberkistan 2009 13,146 62 58 8,42000000 71 Uzberkistan 2010 14,487 62 58 16,36448861 72 Uzberkistan 2011 15,999 62 58 16,35145000 73 Uzberkistan 2012 12,801 62 58 5,63040470 74 Uzberkistan 2013 16,950 62 58 6,34701276 75 Uzberkistan 2014 17,172 55 58 7,57358000 76 Uzberkistan 2015 17,785 46 58 0,66489000 77 Uzberkistan 2016 21,395 43 58 16,62586807 78 Vietnam 2006 46,700 67,5 32 24,00000000 10 79 Vietnam 2007 58,196 67,5 32 67,00000000 10 80 Vietnam 2008 65,300 57,5 32 95,79000000 10 81 Vietnam 2009 84,300 57,5 44 76,00000000 10 82 Vietnam 2010 83,600 57,5 44 80,00000000 83 Vietnam 2011 77,548 57,5 44 74,30000000 84 Vietnam 2012 69,874 57,5 44 83,68000000 85 Vietnam 2013 76,955 57,5 45 89,00000000 86 Vietnam 2014 74,842 57,5 45 92,00000000 32 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 87 Vietnam 2015 94,754 57,5 43 118,00000000 88 Vietnam 2016 110,100 57,5 31 126,00000000 6.2 Do - file 6.2.1 The output of the command sum NBR TIME TAX FDI SP Variable Obs Mean NBR TIME TAX FDI SP 88 88 88 88 88 28.11408 55.23864 33.40909 51.22073 7.261364 Std Dev 30.43889 42.96925 20.01875 44.6272 2.521149 Min Max 01 66489 110.1 146 73 151.1937 14 6.2.2 The output of the command corr NBR TIME TAX FDI SP NBR TIME TAX FDI SP NBR TIME TAX FDI SP 1.0000 -0.1726 -0.2861 0.7006 0.0693 1.0000 -0.0337 -0.2213 0.1389 1.0000 -0.4088 0.3037 1.0000 -0.0874 1.0000 33 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 6.2.3 The output of the command reg NBR TIME TAX FDI SP Source SS df MS Model Residual 41222.9363 39384.8126 83 10305.7341 474.515815 Total 80607.7489 87 926.525849 NBR Coef TIME TAX FDI SP _cons -.0317625 -.0840096 4647216 1.833611 -4.442612 Std Err .0571503 1361333 0595697 9881275 9.32244 t -0.56 -0.62 7.80 1.86 -0.48 Number of obs F(4, 83) Prob > F R-squared Adj R-squared Root MSE P>|t| 0.580 0.539 0.000 0.067 0.635 = = = = = = 88 21.72 0.0000 0.5114 0.4879 21.783 [95% Conf Interval] -.1454323 -.3547734 3462397 -.1317343 -22.98457 0819072 1867541 5832034 3.798957 14.09935 6.2.4 The output of the command ovtest Ramsey RESET test using powers of the fitted values of NBR Ho: model has no omitted variables F(3, 80) = 2.36 Prob > F = 0.0777 6.2.5 The output of the command estat vif Variable VIF 1/VIF TAX FDI SP TIME 1.36 1.30 1.14 1.11 0.734393 0.771757 0.878837 0.904437 Mean VIF 1.23 6.2.6 The output of the command hettest Breusch-Pagan / Cook-Weisberg test for heteroskedasticity Ho: Constant variance Variables: fitted values of NBR chi2(1) Prob > chi2 = = 12.10 0.0005 34 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 6.2.7 The output of the command imtest, white White's test for Ho: homoskedasticity against Ha: unrestricted heteroskedasticity chi2(14) Prob > chi2 = = 30.81 0.0059 Cameron & Trivedi's decomposition of IM-test Source chi2 df p Heteroskedasticity Skewness Kurtosis 30.81 8.71 0.61 14 0.0059 0.0689 0.4359 Total 40.12 19 0.0032 6.2.8 The output of the command reg NBR TIME TAX FDI SP, robust Linear regression Number of obs F(4, 83) Prob > F R-squared Root MSE NBR Coef TIME TAX FDI SP _cons -.0317625 -.0840096 4647216 1.833611 -4.442612 Robust Std Err .0551362 1254636 0677609 9216784 10.98326 t -0.58 -0.67 6.86 1.99 -0.40 P>|t| 0.566 0.505 0.000 0.050 0.687 = = = = = 88 28.24 0.0000 0.5114 21.783 [95% Conf Interval] -.1414262 -.3335516 3299478 0004303 -26.28787 0779012 1655324 5994953 3.666793 17.40265 35 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com INDIVIDUAL ASSESSMENT The individual assessment is based on each member’s attitude towards the group work Hieu Hanh Phuong Ha Quynh Trang Van Anh Hieu Hanh - 10 10 10 Phuong Ha 10 - 10 10 Quynh Trang 10 10 - 10 Van Anh 10 10 10 - Score 10 10 10 10 Evaluator 36 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com ... could be of assistance to entrepreneurs, businessmen and others, decided to choose the topic ? ?The impact of some factors on the number of new business registered in some Asian countries during 2006-2016”... project In this report, we used the econometrics analysis tool Stata to analyze the topic ? ?The impact of some factors on the number of new business registered in some Asian countries during 2006-2016”... of new business registered 1.2.2 The effect of tax payment (TAX) on the number of new business registered 1.2.3 The effect of Foreign Direct Investment (FDI) on the number of