chapter1_econometrics

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    What is Econometrics

    V c Hong V

    University of Economics HCMC

    June 2015

    V c Hong V (UEH) Applied Econometrics June 2015 1 / 1

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    What is Econometrics?

    1 Econometrics is based upon the development of statisticalmethods for estimating economic relationships, testing economictheories, and evaluating and implementing government andbusiness policy.

    2 forecasting of such important macroeconomics variables asinterest rates, inflation rates, and gross domestic product.

    3 Ex: Effects of political campaign expenditure on voting outcome(Expenditure voting outcome)

    4 impact of school spending on student performance (schoolspending student performance)

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    Example

    crime=0+1wagem+ 2othinc+3freqarr+4freqconv+

    5avgsen+6age+u, (1)

    where

    crime=some measure of the frequency of criminal activity,

    wagem =the wage that can be earned in legal employment,

    othinc=the income from other sources (assets, inheritance, and sofreqarr=the frequency of arrests for prior infractions (to approximat

    freqconv=the frequency of conviction, and

    avgsen=the average sentence length after conviction

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    Example 2.1

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    Steps in Econometrics

    1 Specify an economic model, then turn it into what we call aneconometric model.

    2 Identify function form: f() before undertaking an econometricanalysis.

    3 Formulating hypotheses of interest

    ex: the wage that can be earned in the legal employment has no

    effect on criminal behaviour.

    H0 :1 =0

    H1 :1 =04 Data collection

    5 Empirical analysis.

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    Structure of Economic Data

    1 Cross-sectional Data (CS): consists of a sample of individuals,households, firms, cities, countries or a variety of other units,taken at a given point in time.

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    Structure of Economic Data

    1 Cross-sectional Data (CS): consists of a sample of individuals,households, firms, cities, countries or a variety of other units,taken at a given point in time.

    2 Time Series Data (TS): consists of observations on a variable orseveral variables over time. Ex: stock-price, money supply.

    V c Hong V (UEH) Applied Econometrics June 2015 6 / 1

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    Structure of Economic Data

    1 Cross-sectional Data (CS): consists of a sample of individuals,households, firms, cities, countries or a variety of other units,taken at a given point in time.

    2 Time Series Data (TS): consists of observations on a variable orseveral variables over time. Ex: stock-price, money supply.

    3 Pooled Cross Sections: combine between CS and TS. However,it is organized as a stacked CS data over years.

    V c Hong V (UEH) Applied Econometrics June 2015 6 / 1

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    Structure of Economic Data

    1 Cross-sectional Data (CS): consists of a sample of individuals,households, firms, cities, countries or a variety of other units,taken at a given point in time.

    2 Time Series Data (TS): consists of observations on a variable orseveral variables over time. Ex: stock-price, money supply.

    3 Pooled Cross Sections: combine between CS and TS. However,it is organized as a stacked CS data over years.

    4 Panel Data: consists of a time series for each cross-sectionalmember in the dataset.

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    A Cross-Sectional Data Set

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    Time Series Data Set

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    Pooled Cross Sections

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    http://find/http://goback/
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    Panel Data Set

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