Ekonometrika

May 8, 2015

Bagaimana menginterpretasikan variabel kuadrat?

Source: http://www.ats.ucla.edu/stat/mult_pkg/faq/general/curves.htm
May 7, 2015

Do File – Logistics regression II

global ylist Contract_e1 global xlist Age d_notgoingschool No_of_child Marital_status social_group own_boat human_spec frequency Riskbehavior search_costs nego_costs monitor_costs trust market_info connected_lending Andon_fisher d_javanese d_bugis uncertainty describe $ylist $xlist summarize $ylist $xlist tab $ylist reg $ylist $xlist vif logit $ylist $xlist linktest *UNIVARIABLE ANALYSIS (P<0.25) logit Contract_e1 Age logit Contract_e1 Age , or logit Contract_e1 d_notgoingschool logit Contract_e1 d_notgoingschool , or logit Contract_e1 No_of_child logit Contract_e1 No_of_child , or logit Contract_e1 Marital_status logit Contract_e1 Marital_status , or logit Contract_e1 social_group logit Contract_e1 social_group , or logit Contract_e1 own_boat logit Contract_e1 own_boat , or logit Contract_e1 human_spec logit Contract_e1 human_spec , or logit […]
May 7, 2015

Do File – STATA I (Logistics regression)

#delimit; capture clear; cd “C:\ANALYSIS\Dias”; capture log close; log using do1, replace; set more off; set scheme sj; set seed 1100; #delimit cr use “C:\ANALYSIS\Dias\STATA Final 01052015.dta”, clear gen Age_sq=Age^2 gen D_Java=Ethnic==1 gen D_Bugis=Ethnic==3 rename b4_fishing_main_occup fishing_main global indiv Age Age_sq Marital_status i.Education No_of_child own_house D_Java D_Bugis global fishing i.fishing_main own_boat global costs search_costs nego_costs monitor_costs global risk_trust Riskbehavior trust global info_lending market_info connected_lending global xlist $indiv $fishing $costs $risk_trust $info_lending global ylist Contract_e1 *Descriptive stats xi:mean $xlist, over($ylist) outreg2 using xlist_des, replace stat(coef se) excel title(Difference in characteristics, by participation in contract) *t-test xi:estpost ttest $xlist, by($ylist) eststo ttest […]
February 2, 2015

Analisis regresi: model data panel

ANALISIS REGRESI : Model Data Panel Muchammad Syafii Materi ini memfokuskan pada analisis regresi yang mengkombinasikan data time series dengan data cross section, yang dikenal dengan data panel. Materi ini diawali dengan deskripsi mengenai data panel. Selanjutnya membahas jenis-jenis model data panel, diikuti dengan penentuan model terbaik serta asumsi klasik yang berkaitan dengan regresi data panel. Terakhir, cara regresi data panel yang didampingi aplikasi-aplikasi untuk memudahkan dalam meregresi data panel. .. APA YANG DIMAKSUD DATA PANEL ? Data panel adalah kombinasi antara data silang tempat (cross section) dengan data runtut waktu (time series) (Kuncoro, 2011). Widarjono (2009) menyatakan terdapat beberapa […]