What are some further readings in Econometrics you recommend?Books to self-study applied econometricsIn econometrics what are induced jobs?What is the evidence that econometrics has empirical value?What statistical concepts are used in introductory econometrics?What are main methods for econometrics of Macroeconomics?What are some impressive economics models with very high explained variance?Housing econometrics: interpretation of a quadratic variableAbout studying econometrics in undergraduate(Macro)econometrics book recommendationWhat econometrics book or textbook should I use?Statistical Learning and Econometrics

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License validity of unreleased project



What are some further readings in Econometrics you recommend?


Books to self-study applied econometricsIn econometrics what are induced jobs?What is the evidence that econometrics has empirical value?What statistical concepts are used in introductory econometrics?What are main methods for econometrics of Macroeconomics?What are some impressive economics models with very high explained variance?Housing econometrics: interpretation of a quadratic variableAbout studying econometrics in undergraduate(Macro)econometrics book recommendationWhat econometrics book or textbook should I use?Statistical Learning and Econometrics






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








5












$begingroup$


I've reached the end of my Econometrics courses for the undegraduate level at my university, but I would like to continue learning. I hope I could get some recommendations for further reading. I present a summary (off the top of my head) of what has already been covered in my courses:



  1. OLS, Multiple OLS, heteroskedasticity

  2. Time series, autocorrelation, ARDL

  3. Pooled model, fixed effects, random effects

  4. IVs, Diff-in-diff, Probit, Tobit

  5. Fuzzy and Sharp RD

As well as the relevant tests for each case. I'm also familiar with Econometric theory on matrix form.










share|improve this question









$endgroup$











  • $begingroup$
    you might find this earlier question and answers useful: economics.stackexchange.com/questions/12405/…
    $endgroup$
    – Andrew M
    Jul 11 at 0:20

















5












$begingroup$


I've reached the end of my Econometrics courses for the undegraduate level at my university, but I would like to continue learning. I hope I could get some recommendations for further reading. I present a summary (off the top of my head) of what has already been covered in my courses:



  1. OLS, Multiple OLS, heteroskedasticity

  2. Time series, autocorrelation, ARDL

  3. Pooled model, fixed effects, random effects

  4. IVs, Diff-in-diff, Probit, Tobit

  5. Fuzzy and Sharp RD

As well as the relevant tests for each case. I'm also familiar with Econometric theory on matrix form.










share|improve this question









$endgroup$











  • $begingroup$
    you might find this earlier question and answers useful: economics.stackexchange.com/questions/12405/…
    $endgroup$
    – Andrew M
    Jul 11 at 0:20













5












5








5


1



$begingroup$


I've reached the end of my Econometrics courses for the undegraduate level at my university, but I would like to continue learning. I hope I could get some recommendations for further reading. I present a summary (off the top of my head) of what has already been covered in my courses:



  1. OLS, Multiple OLS, heteroskedasticity

  2. Time series, autocorrelation, ARDL

  3. Pooled model, fixed effects, random effects

  4. IVs, Diff-in-diff, Probit, Tobit

  5. Fuzzy and Sharp RD

As well as the relevant tests for each case. I'm also familiar with Econometric theory on matrix form.










share|improve this question









$endgroup$




I've reached the end of my Econometrics courses for the undegraduate level at my university, but I would like to continue learning. I hope I could get some recommendations for further reading. I present a summary (off the top of my head) of what has already been covered in my courses:



  1. OLS, Multiple OLS, heteroskedasticity

  2. Time series, autocorrelation, ARDL

  3. Pooled model, fixed effects, random effects

  4. IVs, Diff-in-diff, Probit, Tobit

  5. Fuzzy and Sharp RD

As well as the relevant tests for each case. I'm also familiar with Econometric theory on matrix form.







econometrics






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Jul 8 at 5:52









Pablo DerbezPablo Derbez

1119 bronze badges




1119 bronze badges











  • $begingroup$
    you might find this earlier question and answers useful: economics.stackexchange.com/questions/12405/…
    $endgroup$
    – Andrew M
    Jul 11 at 0:20
















  • $begingroup$
    you might find this earlier question and answers useful: economics.stackexchange.com/questions/12405/…
    $endgroup$
    – Andrew M
    Jul 11 at 0:20















$begingroup$
you might find this earlier question and answers useful: economics.stackexchange.com/questions/12405/…
$endgroup$
– Andrew M
Jul 11 at 0:20




$begingroup$
you might find this earlier question and answers useful: economics.stackexchange.com/questions/12405/…
$endgroup$
– Andrew M
Jul 11 at 0:20










5 Answers
5






active

oldest

votes


















6












$begingroup$

I might be wrong but from what you write, it seems you've been given a "classical" introduction to econometrics: You've covered IVs and Diff-in-diff but apparently only in passing, and causal inference does not look like it was the core of the class you've taken.



If that's correct, then I would recommend reading:



  • Mastering 'Metrics (https://www.amazon.com/Mastering-Metrics-Path-Cause-Effect/dp/0691152845),

  • Mostly Harmless Econometrics (https://www.mostlyharmlesseconometrics.com/)

before reading anything else (e.g., Wooldridge or Greene, as referenced in E.Sommer's answer).






share|improve this answer









$endgroup$








  • 1




    $begingroup$
    I agree that modern empirical work is less about using fancy estimators but to search for exogenous variation in the real world and exploit it. The main challenge there is to find the appropriate data and to exclude any confounding variation. The estimates itself are usually pretty simple, i.e. standard OLS or Panel Fixed Effects.
    $endgroup$
    – E. Sommer
    Jul 8 at 9:49



















5












$begingroup$

Wooldrige - Econometric Analysis of Cross Section and Panel Data



Greene - Econometric Analysis, 8th Edition. This is probably the 'bible', i.e. it covers everything, but I find it hard to digest.






share|improve this answer









$endgroup$




















    1












    $begingroup$

    What types of software have you used? Seeing as you have a pretty good understanding of core econometric principles, the next step is to at least get a few packages on your tool belt. I imagine you have at been exposed to at least one, but having knowledge in multiple languages is very valuable to employers or to an academic career. I suggest having either R or Stata or both. Preferably both as each have their advantages and make any consecutive languages easier to learn.






    share|improve this answer









    $endgroup$




















      0












      $begingroup$

      Not sure about the other fields, but for time series, I would recommend Time Series Analysis 1st Edition by James Douglas Hamilton. This is the book I used to learn time series when I was a graduate student.






      share|improve this answer









      $endgroup$




















        0












        $begingroup$

        Cheng Hsioa's (sp.?) "Analysis of Panel Data".






        share|improve this answer









        $endgroup$








        • 1




          $begingroup$
          This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - From Review
          $endgroup$
          – Bayesian
          Jul 9 at 8:00










        • $begingroup$
          It's a further recommended reading, so it does answer the question. Would be nice however to add the reasons for the recommendation.
          $endgroup$
          – Jan Höffler
          Jul 11 at 9:54










        • $begingroup$
          Usually we use either (1) cross-sectional data or (2) time series data. Hsiao's book is the classic on how to wring more juice from the fruit when you have concurrent cross-sectional and time-series data. And, it's really well written.
          $endgroup$
          – eSurfsnake
          17 hours ago













        Your Answer








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        5 Answers
        5






        active

        oldest

        votes








        5 Answers
        5






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        6












        $begingroup$

        I might be wrong but from what you write, it seems you've been given a "classical" introduction to econometrics: You've covered IVs and Diff-in-diff but apparently only in passing, and causal inference does not look like it was the core of the class you've taken.



        If that's correct, then I would recommend reading:



        • Mastering 'Metrics (https://www.amazon.com/Mastering-Metrics-Path-Cause-Effect/dp/0691152845),

        • Mostly Harmless Econometrics (https://www.mostlyharmlesseconometrics.com/)

        before reading anything else (e.g., Wooldridge or Greene, as referenced in E.Sommer's answer).






        share|improve this answer









        $endgroup$








        • 1




          $begingroup$
          I agree that modern empirical work is less about using fancy estimators but to search for exogenous variation in the real world and exploit it. The main challenge there is to find the appropriate data and to exclude any confounding variation. The estimates itself are usually pretty simple, i.e. standard OLS or Panel Fixed Effects.
          $endgroup$
          – E. Sommer
          Jul 8 at 9:49
















        6












        $begingroup$

        I might be wrong but from what you write, it seems you've been given a "classical" introduction to econometrics: You've covered IVs and Diff-in-diff but apparently only in passing, and causal inference does not look like it was the core of the class you've taken.



        If that's correct, then I would recommend reading:



        • Mastering 'Metrics (https://www.amazon.com/Mastering-Metrics-Path-Cause-Effect/dp/0691152845),

        • Mostly Harmless Econometrics (https://www.mostlyharmlesseconometrics.com/)

        before reading anything else (e.g., Wooldridge or Greene, as referenced in E.Sommer's answer).






        share|improve this answer









        $endgroup$








        • 1




          $begingroup$
          I agree that modern empirical work is less about using fancy estimators but to search for exogenous variation in the real world and exploit it. The main challenge there is to find the appropriate data and to exclude any confounding variation. The estimates itself are usually pretty simple, i.e. standard OLS or Panel Fixed Effects.
          $endgroup$
          – E. Sommer
          Jul 8 at 9:49














        6












        6








        6





        $begingroup$

        I might be wrong but from what you write, it seems you've been given a "classical" introduction to econometrics: You've covered IVs and Diff-in-diff but apparently only in passing, and causal inference does not look like it was the core of the class you've taken.



        If that's correct, then I would recommend reading:



        • Mastering 'Metrics (https://www.amazon.com/Mastering-Metrics-Path-Cause-Effect/dp/0691152845),

        • Mostly Harmless Econometrics (https://www.mostlyharmlesseconometrics.com/)

        before reading anything else (e.g., Wooldridge or Greene, as referenced in E.Sommer's answer).






        share|improve this answer









        $endgroup$



        I might be wrong but from what you write, it seems you've been given a "classical" introduction to econometrics: You've covered IVs and Diff-in-diff but apparently only in passing, and causal inference does not look like it was the core of the class you've taken.



        If that's correct, then I would recommend reading:



        • Mastering 'Metrics (https://www.amazon.com/Mastering-Metrics-Path-Cause-Effect/dp/0691152845),

        • Mostly Harmless Econometrics (https://www.mostlyharmlesseconometrics.com/)

        before reading anything else (e.g., Wooldridge or Greene, as referenced in E.Sommer's answer).







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Jul 8 at 9:18









        Martin Van der LindenMartin Van der Linden

        3,81112 silver badges41 bronze badges




        3,81112 silver badges41 bronze badges







        • 1




          $begingroup$
          I agree that modern empirical work is less about using fancy estimators but to search for exogenous variation in the real world and exploit it. The main challenge there is to find the appropriate data and to exclude any confounding variation. The estimates itself are usually pretty simple, i.e. standard OLS or Panel Fixed Effects.
          $endgroup$
          – E. Sommer
          Jul 8 at 9:49













        • 1




          $begingroup$
          I agree that modern empirical work is less about using fancy estimators but to search for exogenous variation in the real world and exploit it. The main challenge there is to find the appropriate data and to exclude any confounding variation. The estimates itself are usually pretty simple, i.e. standard OLS or Panel Fixed Effects.
          $endgroup$
          – E. Sommer
          Jul 8 at 9:49








        1




        1




        $begingroup$
        I agree that modern empirical work is less about using fancy estimators but to search for exogenous variation in the real world and exploit it. The main challenge there is to find the appropriate data and to exclude any confounding variation. The estimates itself are usually pretty simple, i.e. standard OLS or Panel Fixed Effects.
        $endgroup$
        – E. Sommer
        Jul 8 at 9:49





        $begingroup$
        I agree that modern empirical work is less about using fancy estimators but to search for exogenous variation in the real world and exploit it. The main challenge there is to find the appropriate data and to exclude any confounding variation. The estimates itself are usually pretty simple, i.e. standard OLS or Panel Fixed Effects.
        $endgroup$
        – E. Sommer
        Jul 8 at 9:49














        5












        $begingroup$

        Wooldrige - Econometric Analysis of Cross Section and Panel Data



        Greene - Econometric Analysis, 8th Edition. This is probably the 'bible', i.e. it covers everything, but I find it hard to digest.






        share|improve this answer









        $endgroup$

















          5












          $begingroup$

          Wooldrige - Econometric Analysis of Cross Section and Panel Data



          Greene - Econometric Analysis, 8th Edition. This is probably the 'bible', i.e. it covers everything, but I find it hard to digest.






          share|improve this answer









          $endgroup$















            5












            5








            5





            $begingroup$

            Wooldrige - Econometric Analysis of Cross Section and Panel Data



            Greene - Econometric Analysis, 8th Edition. This is probably the 'bible', i.e. it covers everything, but I find it hard to digest.






            share|improve this answer









            $endgroup$



            Wooldrige - Econometric Analysis of Cross Section and Panel Data



            Greene - Econometric Analysis, 8th Edition. This is probably the 'bible', i.e. it covers everything, but I find it hard to digest.







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Jul 8 at 9:05









            E. SommerE. Sommer

            8291 silver badge14 bronze badges




            8291 silver badge14 bronze badges





















                1












                $begingroup$

                What types of software have you used? Seeing as you have a pretty good understanding of core econometric principles, the next step is to at least get a few packages on your tool belt. I imagine you have at been exposed to at least one, but having knowledge in multiple languages is very valuable to employers or to an academic career. I suggest having either R or Stata or both. Preferably both as each have their advantages and make any consecutive languages easier to learn.






                share|improve this answer









                $endgroup$

















                  1












                  $begingroup$

                  What types of software have you used? Seeing as you have a pretty good understanding of core econometric principles, the next step is to at least get a few packages on your tool belt. I imagine you have at been exposed to at least one, but having knowledge in multiple languages is very valuable to employers or to an academic career. I suggest having either R or Stata or both. Preferably both as each have their advantages and make any consecutive languages easier to learn.






                  share|improve this answer









                  $endgroup$















                    1












                    1








                    1





                    $begingroup$

                    What types of software have you used? Seeing as you have a pretty good understanding of core econometric principles, the next step is to at least get a few packages on your tool belt. I imagine you have at been exposed to at least one, but having knowledge in multiple languages is very valuable to employers or to an academic career. I suggest having either R or Stata or both. Preferably both as each have their advantages and make any consecutive languages easier to learn.






                    share|improve this answer









                    $endgroup$



                    What types of software have you used? Seeing as you have a pretty good understanding of core econometric principles, the next step is to at least get a few packages on your tool belt. I imagine you have at been exposed to at least one, but having knowledge in multiple languages is very valuable to employers or to an academic career. I suggest having either R or Stata or both. Preferably both as each have their advantages and make any consecutive languages easier to learn.







                    share|improve this answer












                    share|improve this answer



                    share|improve this answer










                    answered Jul 8 at 16:17









                    BrennanBrennan

                    567 bronze badges




                    567 bronze badges





















                        0












                        $begingroup$

                        Not sure about the other fields, but for time series, I would recommend Time Series Analysis 1st Edition by James Douglas Hamilton. This is the book I used to learn time series when I was a graduate student.






                        share|improve this answer









                        $endgroup$

















                          0












                          $begingroup$

                          Not sure about the other fields, but for time series, I would recommend Time Series Analysis 1st Edition by James Douglas Hamilton. This is the book I used to learn time series when I was a graduate student.






                          share|improve this answer









                          $endgroup$















                            0












                            0








                            0





                            $begingroup$

                            Not sure about the other fields, but for time series, I would recommend Time Series Analysis 1st Edition by James Douglas Hamilton. This is the book I used to learn time series when I was a graduate student.






                            share|improve this answer









                            $endgroup$



                            Not sure about the other fields, but for time series, I would recommend Time Series Analysis 1st Edition by James Douglas Hamilton. This is the book I used to learn time series when I was a graduate student.







                            share|improve this answer












                            share|improve this answer



                            share|improve this answer










                            answered Jul 8 at 15:33









                            Wu ShenanWu Shenan

                            91 bronze badge




                            91 bronze badge





















                                0












                                $begingroup$

                                Cheng Hsioa's (sp.?) "Analysis of Panel Data".






                                share|improve this answer









                                $endgroup$








                                • 1




                                  $begingroup$
                                  This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - From Review
                                  $endgroup$
                                  – Bayesian
                                  Jul 9 at 8:00










                                • $begingroup$
                                  It's a further recommended reading, so it does answer the question. Would be nice however to add the reasons for the recommendation.
                                  $endgroup$
                                  – Jan Höffler
                                  Jul 11 at 9:54










                                • $begingroup$
                                  Usually we use either (1) cross-sectional data or (2) time series data. Hsiao's book is the classic on how to wring more juice from the fruit when you have concurrent cross-sectional and time-series data. And, it's really well written.
                                  $endgroup$
                                  – eSurfsnake
                                  17 hours ago















                                0












                                $begingroup$

                                Cheng Hsioa's (sp.?) "Analysis of Panel Data".






                                share|improve this answer









                                $endgroup$








                                • 1




                                  $begingroup$
                                  This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - From Review
                                  $endgroup$
                                  – Bayesian
                                  Jul 9 at 8:00










                                • $begingroup$
                                  It's a further recommended reading, so it does answer the question. Would be nice however to add the reasons for the recommendation.
                                  $endgroup$
                                  – Jan Höffler
                                  Jul 11 at 9:54










                                • $begingroup$
                                  Usually we use either (1) cross-sectional data or (2) time series data. Hsiao's book is the classic on how to wring more juice from the fruit when you have concurrent cross-sectional and time-series data. And, it's really well written.
                                  $endgroup$
                                  – eSurfsnake
                                  17 hours ago













                                0












                                0








                                0





                                $begingroup$

                                Cheng Hsioa's (sp.?) "Analysis of Panel Data".






                                share|improve this answer









                                $endgroup$



                                Cheng Hsioa's (sp.?) "Analysis of Panel Data".







                                share|improve this answer












                                share|improve this answer



                                share|improve this answer










                                answered Jul 9 at 4:01









                                eSurfsnakeeSurfsnake

                                101




                                101







                                • 1




                                  $begingroup$
                                  This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - From Review
                                  $endgroup$
                                  – Bayesian
                                  Jul 9 at 8:00










                                • $begingroup$
                                  It's a further recommended reading, so it does answer the question. Would be nice however to add the reasons for the recommendation.
                                  $endgroup$
                                  – Jan Höffler
                                  Jul 11 at 9:54










                                • $begingroup$
                                  Usually we use either (1) cross-sectional data or (2) time series data. Hsiao's book is the classic on how to wring more juice from the fruit when you have concurrent cross-sectional and time-series data. And, it's really well written.
                                  $endgroup$
                                  – eSurfsnake
                                  17 hours ago












                                • 1




                                  $begingroup$
                                  This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - From Review
                                  $endgroup$
                                  – Bayesian
                                  Jul 9 at 8:00










                                • $begingroup$
                                  It's a further recommended reading, so it does answer the question. Would be nice however to add the reasons for the recommendation.
                                  $endgroup$
                                  – Jan Höffler
                                  Jul 11 at 9:54










                                • $begingroup$
                                  Usually we use either (1) cross-sectional data or (2) time series data. Hsiao's book is the classic on how to wring more juice from the fruit when you have concurrent cross-sectional and time-series data. And, it's really well written.
                                  $endgroup$
                                  – eSurfsnake
                                  17 hours ago







                                1




                                1




                                $begingroup$
                                This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - From Review
                                $endgroup$
                                – Bayesian
                                Jul 9 at 8:00




                                $begingroup$
                                This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - From Review
                                $endgroup$
                                – Bayesian
                                Jul 9 at 8:00












                                $begingroup$
                                It's a further recommended reading, so it does answer the question. Would be nice however to add the reasons for the recommendation.
                                $endgroup$
                                – Jan Höffler
                                Jul 11 at 9:54




                                $begingroup$
                                It's a further recommended reading, so it does answer the question. Would be nice however to add the reasons for the recommendation.
                                $endgroup$
                                – Jan Höffler
                                Jul 11 at 9:54












                                $begingroup$
                                Usually we use either (1) cross-sectional data or (2) time series data. Hsiao's book is the classic on how to wring more juice from the fruit when you have concurrent cross-sectional and time-series data. And, it's really well written.
                                $endgroup$
                                – eSurfsnake
                                17 hours ago




                                $begingroup$
                                Usually we use either (1) cross-sectional data or (2) time series data. Hsiao's book is the classic on how to wring more juice from the fruit when you have concurrent cross-sectional and time-series data. And, it's really well written.
                                $endgroup$
                                – eSurfsnake
                                17 hours ago

















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