[PDF] Top 20 Slide 4_distribution 最近の更新履歴 Keisuke Kawata's HP

... e.g.) If you would like to estimate the conditional mean income among junior high, high, and college graduates, the sample size must be higher than If the distribution is , the analysis is more difficult. e.g.,) ... 完全なドキュメントを参照

... • To estimate counterfactual outcomes, we often use an estimator as an outcome of ⇒ In this approach, we need to observe an outcome of individuals who receives e.g.,) To know the causal effect of college dropout o ... 完全なドキュメントを参照

... Nash bargaining Search theory (2017) 7 • Let introduce the individual surplus as Worker’s surplus: life-time value as employed － life-time value as unemployed Fir ’s surplus: life-time profits as ... 完全なドキュメントを参照

... ⇒ We a argue so if it is a rare e e t that e o ser e our urre t sa ple under the null hypothesis; the population mean is equal to � �,0 . ⇒ It’s easure e t is the pro a ilit that e o ser e sa ples hi h ha e ore e ... 完全なドキュメントを参照

... • We can get accurate estimators if the sample size and the sample variance of explanation variable are large.[r] ... 完全なドキュメントを参照

... Formal theory and statistical works • (Economics and other field) theories provide rich hypothesis. ⇒ should e tested usi g i terest ou tr ’s data. • Typically, economics theories provide only qualitative policy ... 完全なドキュメントを参照

... Descriptive statistics for two variables • Most of the interesting questions in social science involve two or more variables. – Ca i rofi a e progra i pro e households’ elfare? – Ca tea her’s trai i g i pro e edu ... 完全なドキュメントを参照

... • We make the list of probabilities of each possible outcomes because outcome is continuous variable. → e.g., ) The probability density function of the high of the next new person you meet. Probability ... 完全なドキュメントを参照

... Binary case: � is the estimator of of y between t=1 and t=0 groups when the effect of other factors (u) is totally equal between groups.3. Heteroskedasticity and Homoskedasticity[r] ... 完全なドキュメントを参照

... The share of poor region livener in treatment group is larger than in control group.. ←.[r] ... 完全なドキュメントを参照

... If there exist correlation between treatment and control variables, we cannot get the unbiased OLS estimators. If all covariates can be controlled, you can get unbiased OLS estimators[r] ... 完全なドキュメントを参照

... • If you would like to find additional implication, you should try to estimate the quadratic population model... Log population model[r] ... 完全なドキュメントを参照

... • If your sample size is not so small, about categorical variables, you should use dummy variable approach. • We should incorporate the high order and interaction effects to get additio[r] ... 完全なドキュメントを参照

... Even if the data is pure random sampling and the expected value of other terms dose not depend on treatments , the sample difference may have bias because entity fixed or date fixed e[r] ... 完全なドキュメントを参照

... Datta (12, JDE) Purpose: Estimating the effects of road- o stru tio o fir ’s eha ior i I dia. Data: World Bank Enterprise Surveys for India in 2005 and 2008, Unit: Firm Treatments: New high-way constructing ... 完全なドキュメントを参照

... • Using the instrumental variable approach, we can eliminate bias coming the correlation between explanation variables and error terms. • The instrumental variables should be correlated[r] ... 完全なドキュメントを参照

... • For Muslim-developing countries, Gulf oil exporters (Saudi Arabia, United Arab Emirates, and Kuwait) are important donors of foreign aid. ⇒ A ou t of their aid depe d o their udgets[r] ... 完全なドキュメントを参照

... 1. If estimation results are not consistent with theoretical prediction, estimation method are wrong. If estimation results are not consistent with theoretical prediction, this theory [r] ... 完全なドキュメントを参照

... Notion: Interpretation • You should take care about interpretation of quantile effects. • Quantile effects are defined on the distribution; ⇒ should e i te p eted as the effe t of t eat e ts o the qth quantile ... 完全なドキュメントを参照

... Maximum Likelihood Estimation Procedure of maximum likelihood estimation 1. Under the assumption about the distribution (probit: normal, logit: logistic), calculating the likelihood as a function of unknown ... 完全なドキュメントを参照