Micro-econometrics for policy, program, and treatment effects /:
Focusing on non-experimental microeconometric estimation, this work provides literature on how to measure accurately the effects of a treatment, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford ; New York :
Oxford University Press,
2005.
|
| Schriftenreihe: | Advanced texts in econometrics.
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Zusammenfassung: | Focusing on non-experimental microeconometric estimation, this work provides literature on how to measure accurately the effects of a treatment, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income. |
| Beschreibung: | Title from title screen (viewed March 2, 2006). |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781435622647 1435622642 9780191603044 019160304X |
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| 100 | 1 | |a Lee, Myoung-jae. |0 http://id.loc.gov/authorities/names/n95098500 | |
| 245 | 1 | 0 | |a Micro-econometrics for policy, program, and treatment effects / |c Myoung-jae Lee. |
| 260 | |a Oxford ; |a New York : |b Oxford University Press, |c 2005. | ||
| 300 | |a 1 online resource | ||
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| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Advanced texts in econometrics. | |
| 500 | |a Title from title screen (viewed March 2, 2006). | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a Focusing on non-experimental microeconometric estimation, this work provides literature on how to measure accurately the effects of a treatment, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income. | |
| 505 | 0 | |a 1 Tour of the book; 2 Basics of treatment effect analysis; 2.1 Treatment intervention, counter-factual, and causal relation; 2.1.1 Potential outcomes and intervention; 2.1.2 Causality and association; 2.1.3 Partial equilibrium analysis and remarks; 2.2 Various treatment effects and no effects; 2.2.1 Various effects; 2.2.2 Three no-effect concepts; 2.2.3 Further remarks; 2.3 Group-mean difference and randomization; 2.3.1 Group-mean difference and mean effect; 2.3.2 Consequences of randomization; 2.3.3 Checking out covariate balance | |
| 505 | 8 | |a 2.4 Overt bias, hidden (covert) bias, and selection problems2.4.1 Overt and hidden biases; 2.4.2 Selection on observables and unobservables; 2.4.3 Linear models and biases; 2.5 Estimation with group mean difference and LSE; 2.5.1 Group-mean difference and LSE; 2.5.2 A job-training example; 2.5.3 Linking counter-factuals to linear models; 2.6 Structural form equations and treatment effect; 2.7 On mean independence and independence*; 2.7.1 Independence and conditional independence; 2.7.2 Symmetric and asymmetric mean-independence; 2.7.3 Joint and marginal independence | |
| 505 | 8 | |a 2.8 Illustration of biases and Simpson's Paradox*2.8.1 Illustration of biases; 2.8.2 Source of overt bias; 2.8.3 Simpson's Paradox; 3 Controlling for covariates; 3.1 Variables to control for; 3.1.1 Must cases; 3.1.2 No-no cases; 3.1.3 Yes/no cases; 3.1.4 Option case; 3.1.5 Proxy cases; 3.2 Comparison group and controlling for observed variables; 3.2.1 Comparison group bias; 3.2.2 Dimension and support problems in conditioning; 3.2.3 Parametric models to avoid dimension and support problems; 3.2.4 Two-stage method for a semi-linear model* | |
| 505 | 8 | |a 3.3 Regression discontinuity design (RDD) and before-after (BA)3.3.1 Parametric regression discontinuity; 3.3.2 Sharp nonparametric regression discontinuity; 3.3.3 Fuzzy nonparametric regression discontinuity; 3.3.4 Before-after (BA); 3.4 Treatment effect estimator with weighting*; 3.4.1 Effect on the untreated; 3.4.2 Effects on the treated and on the population; 3.4.3 Effciency bounds and effcient estimators; 3.4.4 An empirical example; 3.5 Complete pairing with double sums*; 3.5.1 Discrete covariates; 3.5.2 Continuous or mixed (continuous or discrete) covariates; 3.5.3 An empirical example | |
| 505 | 8 | |a 4 Matching4.1 Estimators with matching; 4.1.1 Effects on the treated; 4.1.2 Effects on the population; 4.1.3 Estimating asymptotic variance; 4.2 Implementing matching; 4.2.1 Decisions to make in matching; 4.2.2 Evaluating matching success; 4.2.3 Empirical examples; 4.3 Propensity score matching; 4.3.1 Balancing observables with propensity score; 4.3.2 Removing overt bias with propensity-score; 4.3.3 Empirical examples; 4.4 Matching for hidden bias; 4.5 Difference in differences (DD); 4.5.1 Mixture of before-after and matching; 4.5.2 DD for post-treatment treated in no-mover panels | |
| 650 | 0 | |a Econometrics. |0 http://id.loc.gov/authorities/subjects/sh85040763 | |
| 650 | 0 | |a Econometric models. |0 http://id.loc.gov/authorities/subjects/sh85040762 | |
| 650 | 0 | |a Economic policy |x Mathematical models. | |
| 650 | 0 | |a Multivariate analysis. |0 http://id.loc.gov/authorities/subjects/sh85088390 | |
| 650 | 2 | |a Multivariate Analysis |0 https://id.nlm.nih.gov/mesh/D015999 | |
| 650 | 6 | |a Économétrie. | |
| 650 | 6 | |a Modèles économétriques. | |
| 650 | 6 | |a Politique économique |x Modèles mathématiques. | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Econometrics. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Statistics. |2 bisacsh | |
| 650 | 7 | |a Econometric models |2 fast | |
| 650 | 7 | |a Econometrics |2 fast | |
| 650 | 7 | |a Economic policy |x Mathematical models |2 fast | |
| 650 | 7 | |a Multivariate analysis |2 fast | |
| 650 | 7 | |a Wirtschaftspolitik |2 gnd | |
| 650 | 7 | |a Mathematisches Modell |2 gnd |0 http://d-nb.info/gnd/4114528-8 | |
| 650 | 7 | |a Ökonometrisches Modell |2 gnd |0 http://d-nb.info/gnd/4043212-9 | |
| 650 | 7 | |a Ökonometrie |2 gnd |0 http://d-nb.info/gnd/4132280-0 | |
| 650 | 7 | |a Econometrie. |2 gtt | |
| 650 | 7 | |a Behandeling. |2 gtt | |
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| 650 | 7 | |a Multivariat analys. |2 sao | |
| 650 | 7 | |a Econometria. |2 thub | |
| 650 | 7 | |a Models economètrics. |2 thub | |
| 650 | 7 | |a Política econòmica. |2 thub | |
| 650 | 7 | |a Models matemàtics. |2 thub | |
| 650 | 7 | |a Anàlisi multivariable. |2 thub | |
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| 653 | 0 | 0 | |a economische theorie |
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| 653 | 1 | 0 | |a Econometrie |
| 655 | 7 | |a Llibres electrònics. |2 thub | |
| 776 | 0 | 8 | |i Print version: |a Lee, Myoung-jae. |t Micro-econometrics for policy, program, and treatment effects. |d Oxford ; New York : Oxford University Press, 2005 |z 0199267685 |z 9780199267682 |w (DLC) 2005299734 |w (OCoLC)59720032 |
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| contents | 1 Tour of the book; 2 Basics of treatment effect analysis; 2.1 Treatment intervention, counter-factual, and causal relation; 2.1.1 Potential outcomes and intervention; 2.1.2 Causality and association; 2.1.3 Partial equilibrium analysis and remarks; 2.2 Various treatment effects and no effects; 2.2.1 Various effects; 2.2.2 Three no-effect concepts; 2.2.3 Further remarks; 2.3 Group-mean difference and randomization; 2.3.1 Group-mean difference and mean effect; 2.3.2 Consequences of randomization; 2.3.3 Checking out covariate balance 2.4 Overt bias, hidden (covert) bias, and selection problems2.4.1 Overt and hidden biases; 2.4.2 Selection on observables and unobservables; 2.4.3 Linear models and biases; 2.5 Estimation with group mean difference and LSE; 2.5.1 Group-mean difference and LSE; 2.5.2 A job-training example; 2.5.3 Linking counter-factuals to linear models; 2.6 Structural form equations and treatment effect; 2.7 On mean independence and independence*; 2.7.1 Independence and conditional independence; 2.7.2 Symmetric and asymmetric mean-independence; 2.7.3 Joint and marginal independence 2.8 Illustration of biases and Simpson's Paradox*2.8.1 Illustration of biases; 2.8.2 Source of overt bias; 2.8.3 Simpson's Paradox; 3 Controlling for covariates; 3.1 Variables to control for; 3.1.1 Must cases; 3.1.2 No-no cases; 3.1.3 Yes/no cases; 3.1.4 Option case; 3.1.5 Proxy cases; 3.2 Comparison group and controlling for observed variables; 3.2.1 Comparison group bias; 3.2.2 Dimension and support problems in conditioning; 3.2.3 Parametric models to avoid dimension and support problems; 3.2.4 Two-stage method for a semi-linear model* 3.3 Regression discontinuity design (RDD) and before-after (BA)3.3.1 Parametric regression discontinuity; 3.3.2 Sharp nonparametric regression discontinuity; 3.3.3 Fuzzy nonparametric regression discontinuity; 3.3.4 Before-after (BA); 3.4 Treatment effect estimator with weighting*; 3.4.1 Effect on the untreated; 3.4.2 Effects on the treated and on the population; 3.4.3 Effciency bounds and effcient estimators; 3.4.4 An empirical example; 3.5 Complete pairing with double sums*; 3.5.1 Discrete covariates; 3.5.2 Continuous or mixed (continuous or discrete) covariates; 3.5.3 An empirical example 4 Matching4.1 Estimators with matching; 4.1.1 Effects on the treated; 4.1.2 Effects on the population; 4.1.3 Estimating asymptotic variance; 4.2 Implementing matching; 4.2.1 Decisions to make in matching; 4.2.2 Evaluating matching success; 4.2.3 Empirical examples; 4.3 Propensity score matching; 4.3.1 Balancing observables with propensity score; 4.3.2 Removing overt bias with propensity-score; 4.3.3 Empirical examples; 4.4 Matching for hidden bias; 4.5 Difference in differences (DD); 4.5.1 Mixture of before-after and matching; 4.5.2 DD for post-treatment treated in no-mover panels |
| ctrlnum | (OCoLC)77016974 |
| dewey-full | 330.01/5195 |
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| dewey-ones | 330 - Economics |
| dewey-raw | 330.01/5195 |
| dewey-search | 330.01/5195 |
| dewey-sort | 3330.01 45195 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Llibres electrònics. thub |
| genre_facet | Llibres electrònics. |
| id | ZDB-4-EBU-ocm77016974 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:48:57Z |
| institution | BVB |
| isbn | 9781435622647 1435622642 9780191603044 019160304X |
| language | English |
| oclc_num | 77016974 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBU |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Oxford University Press, |
| record_format | marc |
| series | Advanced texts in econometrics. |
| series2 | Advanced texts in econometrics. |
| spelling | Lee, Myoung-jae. http://id.loc.gov/authorities/names/n95098500 Micro-econometrics for policy, program, and treatment effects / Myoung-jae Lee. Oxford ; New York : Oxford University Press, 2005. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Advanced texts in econometrics. Title from title screen (viewed March 2, 2006). Includes bibliographical references and index. Focusing on non-experimental microeconometric estimation, this work provides literature on how to measure accurately the effects of a treatment, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income. 1 Tour of the book; 2 Basics of treatment effect analysis; 2.1 Treatment intervention, counter-factual, and causal relation; 2.1.1 Potential outcomes and intervention; 2.1.2 Causality and association; 2.1.3 Partial equilibrium analysis and remarks; 2.2 Various treatment effects and no effects; 2.2.1 Various effects; 2.2.2 Three no-effect concepts; 2.2.3 Further remarks; 2.3 Group-mean difference and randomization; 2.3.1 Group-mean difference and mean effect; 2.3.2 Consequences of randomization; 2.3.3 Checking out covariate balance 2.4 Overt bias, hidden (covert) bias, and selection problems2.4.1 Overt and hidden biases; 2.4.2 Selection on observables and unobservables; 2.4.3 Linear models and biases; 2.5 Estimation with group mean difference and LSE; 2.5.1 Group-mean difference and LSE; 2.5.2 A job-training example; 2.5.3 Linking counter-factuals to linear models; 2.6 Structural form equations and treatment effect; 2.7 On mean independence and independence*; 2.7.1 Independence and conditional independence; 2.7.2 Symmetric and asymmetric mean-independence; 2.7.3 Joint and marginal independence 2.8 Illustration of biases and Simpson's Paradox*2.8.1 Illustration of biases; 2.8.2 Source of overt bias; 2.8.3 Simpson's Paradox; 3 Controlling for covariates; 3.1 Variables to control for; 3.1.1 Must cases; 3.1.2 No-no cases; 3.1.3 Yes/no cases; 3.1.4 Option case; 3.1.5 Proxy cases; 3.2 Comparison group and controlling for observed variables; 3.2.1 Comparison group bias; 3.2.2 Dimension and support problems in conditioning; 3.2.3 Parametric models to avoid dimension and support problems; 3.2.4 Two-stage method for a semi-linear model* 3.3 Regression discontinuity design (RDD) and before-after (BA)3.3.1 Parametric regression discontinuity; 3.3.2 Sharp nonparametric regression discontinuity; 3.3.3 Fuzzy nonparametric regression discontinuity; 3.3.4 Before-after (BA); 3.4 Treatment effect estimator with weighting*; 3.4.1 Effect on the untreated; 3.4.2 Effects on the treated and on the population; 3.4.3 Effciency bounds and effcient estimators; 3.4.4 An empirical example; 3.5 Complete pairing with double sums*; 3.5.1 Discrete covariates; 3.5.2 Continuous or mixed (continuous or discrete) covariates; 3.5.3 An empirical example 4 Matching4.1 Estimators with matching; 4.1.1 Effects on the treated; 4.1.2 Effects on the population; 4.1.3 Estimating asymptotic variance; 4.2 Implementing matching; 4.2.1 Decisions to make in matching; 4.2.2 Evaluating matching success; 4.2.3 Empirical examples; 4.3 Propensity score matching; 4.3.1 Balancing observables with propensity score; 4.3.2 Removing overt bias with propensity-score; 4.3.3 Empirical examples; 4.4 Matching for hidden bias; 4.5 Difference in differences (DD); 4.5.1 Mixture of before-after and matching; 4.5.2 DD for post-treatment treated in no-mover panels Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Econometric models. http://id.loc.gov/authorities/subjects/sh85040762 Economic policy Mathematical models. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Économétrie. Modèles économétriques. Politique économique Modèles mathématiques. Analyse multivariée. BUSINESS & ECONOMICS Econometrics. bisacsh BUSINESS & ECONOMICS Statistics. bisacsh Econometric models fast Econometrics fast Economic policy Mathematical models fast Multivariate analysis fast Wirtschaftspolitik gnd Mathematisches Modell gnd http://d-nb.info/gnd/4114528-8 Ökonometrisches Modell gnd http://d-nb.info/gnd/4043212-9 Ökonometrie gnd http://d-nb.info/gnd/4132280-0 Econometrie. gtt Behandeling. gtt Ekonometri. sao Multivariat analys. sao Econometria. thub Models economètrics. thub Política econòmica. thub Models matemàtics. thub Anàlisi multivariable. thub econometrie econometrics economische theorie economic theory Econometrics Econometrie Llibres electrònics. thub Print version: Lee, Myoung-jae. Micro-econometrics for policy, program, and treatment effects. Oxford ; New York : Oxford University Press, 2005 0199267685 9780199267682 (DLC) 2005299734 (OCoLC)59720032 Advanced texts in econometrics. http://id.loc.gov/authorities/names/n91107308 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1061457 Volltext FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=215502 Volltext |
| spellingShingle | Lee, Myoung-jae Micro-econometrics for policy, program, and treatment effects / Advanced texts in econometrics. 1 Tour of the book; 2 Basics of treatment effect analysis; 2.1 Treatment intervention, counter-factual, and causal relation; 2.1.1 Potential outcomes and intervention; 2.1.2 Causality and association; 2.1.3 Partial equilibrium analysis and remarks; 2.2 Various treatment effects and no effects; 2.2.1 Various effects; 2.2.2 Three no-effect concepts; 2.2.3 Further remarks; 2.3 Group-mean difference and randomization; 2.3.1 Group-mean difference and mean effect; 2.3.2 Consequences of randomization; 2.3.3 Checking out covariate balance 2.4 Overt bias, hidden (covert) bias, and selection problems2.4.1 Overt and hidden biases; 2.4.2 Selection on observables and unobservables; 2.4.3 Linear models and biases; 2.5 Estimation with group mean difference and LSE; 2.5.1 Group-mean difference and LSE; 2.5.2 A job-training example; 2.5.3 Linking counter-factuals to linear models; 2.6 Structural form equations and treatment effect; 2.7 On mean independence and independence*; 2.7.1 Independence and conditional independence; 2.7.2 Symmetric and asymmetric mean-independence; 2.7.3 Joint and marginal independence 2.8 Illustration of biases and Simpson's Paradox*2.8.1 Illustration of biases; 2.8.2 Source of overt bias; 2.8.3 Simpson's Paradox; 3 Controlling for covariates; 3.1 Variables to control for; 3.1.1 Must cases; 3.1.2 No-no cases; 3.1.3 Yes/no cases; 3.1.4 Option case; 3.1.5 Proxy cases; 3.2 Comparison group and controlling for observed variables; 3.2.1 Comparison group bias; 3.2.2 Dimension and support problems in conditioning; 3.2.3 Parametric models to avoid dimension and support problems; 3.2.4 Two-stage method for a semi-linear model* 3.3 Regression discontinuity design (RDD) and before-after (BA)3.3.1 Parametric regression discontinuity; 3.3.2 Sharp nonparametric regression discontinuity; 3.3.3 Fuzzy nonparametric regression discontinuity; 3.3.4 Before-after (BA); 3.4 Treatment effect estimator with weighting*; 3.4.1 Effect on the untreated; 3.4.2 Effects on the treated and on the population; 3.4.3 Effciency bounds and effcient estimators; 3.4.4 An empirical example; 3.5 Complete pairing with double sums*; 3.5.1 Discrete covariates; 3.5.2 Continuous or mixed (continuous or discrete) covariates; 3.5.3 An empirical example 4 Matching4.1 Estimators with matching; 4.1.1 Effects on the treated; 4.1.2 Effects on the population; 4.1.3 Estimating asymptotic variance; 4.2 Implementing matching; 4.2.1 Decisions to make in matching; 4.2.2 Evaluating matching success; 4.2.3 Empirical examples; 4.3 Propensity score matching; 4.3.1 Balancing observables with propensity score; 4.3.2 Removing overt bias with propensity-score; 4.3.3 Empirical examples; 4.4 Matching for hidden bias; 4.5 Difference in differences (DD); 4.5.1 Mixture of before-after and matching; 4.5.2 DD for post-treatment treated in no-mover panels Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Econometric models. http://id.loc.gov/authorities/subjects/sh85040762 Economic policy Mathematical models. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Économétrie. Modèles économétriques. Politique économique Modèles mathématiques. Analyse multivariée. BUSINESS & ECONOMICS Econometrics. bisacsh BUSINESS & ECONOMICS Statistics. bisacsh Econometric models fast Econometrics fast Economic policy Mathematical models fast Multivariate analysis fast Wirtschaftspolitik gnd Mathematisches Modell gnd http://d-nb.info/gnd/4114528-8 Ökonometrisches Modell gnd http://d-nb.info/gnd/4043212-9 Ökonometrie gnd http://d-nb.info/gnd/4132280-0 Econometrie. gtt Behandeling. gtt Ekonometri. sao Multivariat analys. sao Econometria. thub Models economètrics. thub Política econòmica. thub Models matemàtics. thub Anàlisi multivariable. thub |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85040763 http://id.loc.gov/authorities/subjects/sh85040762 http://id.loc.gov/authorities/subjects/sh85088390 https://id.nlm.nih.gov/mesh/D015999 http://d-nb.info/gnd/4114528-8 http://d-nb.info/gnd/4043212-9 http://d-nb.info/gnd/4132280-0 |
| title | Micro-econometrics for policy, program, and treatment effects / |
| title_auth | Micro-econometrics for policy, program, and treatment effects / |
| title_exact_search | Micro-econometrics for policy, program, and treatment effects / |
| title_full | Micro-econometrics for policy, program, and treatment effects / Myoung-jae Lee. |
| title_fullStr | Micro-econometrics for policy, program, and treatment effects / Myoung-jae Lee. |
| title_full_unstemmed | Micro-econometrics for policy, program, and treatment effects / Myoung-jae Lee. |
| title_short | Micro-econometrics for policy, program, and treatment effects / |
| title_sort | micro econometrics for policy program and treatment effects |
| topic | Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Econometric models. http://id.loc.gov/authorities/subjects/sh85040762 Economic policy Mathematical models. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Économétrie. Modèles économétriques. Politique économique Modèles mathématiques. Analyse multivariée. BUSINESS & ECONOMICS Econometrics. bisacsh BUSINESS & ECONOMICS Statistics. bisacsh Econometric models fast Econometrics fast Economic policy Mathematical models fast Multivariate analysis fast Wirtschaftspolitik gnd Mathematisches Modell gnd http://d-nb.info/gnd/4114528-8 Ökonometrisches Modell gnd http://d-nb.info/gnd/4043212-9 Ökonometrie gnd http://d-nb.info/gnd/4132280-0 Econometrie. gtt Behandeling. gtt Ekonometri. sao Multivariat analys. sao Econometria. thub Models economètrics. thub Política econòmica. thub Models matemàtics. thub Anàlisi multivariable. thub |
| topic_facet | Econometrics. Econometric models. Economic policy Mathematical models. Multivariate analysis. Multivariate Analysis Économétrie. Modèles économétriques. Politique économique Modèles mathématiques. Analyse multivariée. BUSINESS & ECONOMICS Econometrics. BUSINESS & ECONOMICS Statistics. Econometric models Econometrics Economic policy Mathematical models Multivariate analysis Wirtschaftspolitik Mathematisches Modell Ökonometrisches Modell Ökonometrie Econometrie. Behandeling. Ekonometri. Multivariat analys. Econometria. Models economètrics. Política econòmica. Models matemàtics. Anàlisi multivariable. Llibres electrònics. |
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