this video describes the similarities and differences between econometrics and 'hard' science. the example given is attempting to quantify the effect of military spending on lifetime income. a great paper on this subject is given by angrist (1990), who uses iv estimation to estimate the effect. check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. quite excitingly (for me at least), i am about to publish a whole series of new videos on bayesian statistics on youtube. see here for information: https://ben-lambert.com/bayesian/ accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti

this video describes the similarities and differences between econometrics and 'hard' science. the example given is attempting to quantify the effect of military spending on lifetime income. a great paper on this subject is given by angrist (1990), who uses iv estimation to estimate the effect. check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. quite excitingly (for me at least), i am about to publish a whole series of new videos on bayesian statistics on youtube. see here for information: https://ben-lambert.com/bayesian/ accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti use of was to were to v 1 form practical english daily use sentences video 42 use of has to have to v 1 advanced english grammar spoken english advance structures use of had to v 1 daily use english conversational english for daily use use of will have to v 1 advanced grammar daily use english sentences achi butt shahid kaka saqi shah in chakwal tapeball cricket tournament achi butt best batting arslan achi butt 50 runs arslan achi butt best batting arslan achi butt 5 sixes in 5 balls arslan achi butt 30 runs in 5 balls undergraduate econometrics syllabus what is econometrics econometrics vs hard science natural experiments in econometrics populations and samples in econometrics estimators the basics estimator properties unbiasedness and consistency unbiasedness vs consistency of estimators an example efficiency of estimators good estimator properties summary lines of best fit in econometrics the mathematics behind drawing a line of best fit least squares estimators as blue deriving least squares estimators part 1 deriving least squares estimators part 2 deriving least squares estimators part 3 deriving least squares estimators part 4 deriving least squares estimators part 5 least squares estimators in summary taking expectations of a random variable moments of a random variable central moments of a random variable kurtosis skewness expectations and variance properties covariance and correlation population vs sample quantities the population regression function problem set 1 estimators introduction gauss markov assumptions part 1 gauss markov assumptions part 2 zero conditional mean of errors gauss markov assumption omitted variable bias example 1 omitted variable bias example 2 omitted variable bias example 3 omitted variable bias proof part 1 omitted variable bias proof part 2 reverse causality part 1 reverse causality part 2 measurement error in independent variable part 1 measurement error in independent variable part 2 functional misspecification 1 functional misspecification 2 linearity in parameters gauss markov random sample summary gauss markov gauss markov explanation of random sampling and serial correlation serial correlation summary serial correlation as a symptom of omitted variable bias serial correlation as a symptom of functional misspecification motion introduction class 9 physics states motion class 9 physics physical quantities motion class 9 physics use of was to were to v 1 form practical english daily use sentences video 42 use of has to have to v 1 advanced english grammar spoken english advance structures use of had to v 1 daily use english conversational english for daily use use of will have to v 1 advanced grammar daily use english sentences achi butt shahid kaka saqi shah in chakwal tapeball cricket tournament achi butt best batting arslan achi butt 50 runs arslan achi butt best batting arslan achi butt 5 sixes in 5 balls arslan achi butt 30 runs in 5 balls undergraduate econometrics syllabus what is econometrics econometrics vs hard science natural experiments in econometrics populations and samples in econometrics estimators the basics estimator properties unbiasedness and consistency unbiasedness vs consistency of estimators an example efficiency of estimators good estimator properties summary lines of best fit in econometrics the mathematics behind drawing a line of best fit least squares estimators as blue deriving least squares estimators part 1 deriving least squares estimators part 2 deriving least squares estimators part 3 deriving least squares estimators part 4 deriving least squares estimators part 5 least squares estimators in summary taking expectations of a random variable moments of a random variable central moments of a random variable kurtosis skewness expectations and variance properties covariance and correlation population vs sample quantities the population regression function problem set 1 estimators introduction gauss markov assumptions part 1 gauss markov assumptions part 2 zero conditional mean of errors gauss markov assumption omitted variable bias example 1 omitted variable bias example 2 omitted variable bias example 3 omitted variable bias proof part 1 omitted variable bias proof part 2 reverse causality part 1 reverse causality part 2 measurement error in independent variable part 1 measurement error in independent variable part 2 functional misspecification 1 functional misspecification 2 linearity in parameters gauss markov random sample summary gauss markov gauss markov explanation of random sampling and serial correlation serial correlation summary serial correlation as a symptom of omitted variable bias serial correlation as a symptom of functional misspecification motion introduction class 9 physics states motion class 9 physics physical quantities motion class 9 physics use of was to were to v 1 form practical english daily use sentences video 42 use of has to have to v 1 advanced english grammar spoken english advance structures use of had to v 1 daily use english conversational english for daily use use of will have to v 1 advanced grammar daily use english sentences achi butt shahid kaka saqi shah in chakwal tapeball cricket tournament achi butt best batting arslan achi butt 50 runs arslan achi butt best batting arslan achi butt 5 sixes in 5 balls arslan achi butt 30 runs in 5 balls undergraduate econometrics syllabus what is econometrics econometrics vs hard science natural experiments in econometrics populations and samples in econometrics estimators the basics estimator properties unbiasedness and consistency unbiasedness vs consistency of estimators an example efficiency of estimators good estimator properties summary lines of best fit in econometrics the mathematics behind drawing a line of best fit least squares estimators as blue deriving least squares estimators part 1 deriving least squares estimators part 2 deriving least squares estimators part 3 deriving least squares estimators part 4 deriving least squares estimators part 5 least squares estimators in summary taking expectations of a random variable moments of a random variable central moments of a random variable kurtosis skewness expectations and variance properties covariance and correlation population vs sample quantities the population regression function problem set 1 estimators introduction gauss markov assumptions part 1 gauss markov assumptions part 2 zero conditional mean of errors gauss markov assumption omitted variable bias example 1 omitted variable bias example 2 omitted variable bias example 3 omitted variable bias proof part 1 omitted variable bias proof part 2 reverse causality part 1 reverse causality part 2 measurement error in independent variable part 1 measurement error in independent variable part 2 functional misspecification 1 functional misspecification 2 linearity in parameters gauss markov random sample summary gauss markov gauss markov explanation of random sampling and serial correlation serial correlation summary serial correlation as a symptom of omitted variable bias serial correlation as a symptom of functional misspecification motion introduction class 9 physics states motion class 9 physics physical quantities motion class 9 physics this video describes the similarities and differences between econometrics and 'hard' science. the example given is attempting to quantify the effect of military spending on lifetime income. a great paper on this subject is given by angrist (1990), who uses iv estimation to estimate the effect. check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. quite excitingly (for me at least), i am about to publish a whole series of new videos on bayesian statistics on youtube. see here for information: https://ben-lambert.com/bayesian/ accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti