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      중소기업 정책(금융)평가를 위한 인과추론 방법론: 잠재결과(Potential Outcome) 접근법과 Do-Calculus 접근법에 대한 이해 = Causal Inference for (Financing) Policy Evaluation on Small and Medium Enterprises: Understanding Potential Outcome Approach and Do-Calculus Approach

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      https://www.riss.kr/link?id=A108736493

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      다국어 초록 (Multilingual Abstract)

      The critical appraisal of financial policies for small and medium enterprises(SMEs) is of paramount importance. Causal analysis serves as a robust tool, aiding policy makers in their decision-making process by precisely discerning the real impacts of policies and quantifying their efficacy, while concurrently isolating these effects from extraneous factors. This method of analysis enjoys widespread application as a vital empirical tool across diverse academic disciplines. In this manuscript, we succinctly elucidate two of the three prevailing methodologies that govern the realm of causal analysis - the potential outcome approach and the do-calculus approach, whilst also shedding light on the contemporary advancements in causal analysis techniques
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      The critical appraisal of financial policies for small and medium enterprises(SMEs) is of paramount importance. Causal analysis serves as a robust tool, aiding policy makers in their decision-making process by precisely discerning the real impacts of ...

      The critical appraisal of financial policies for small and medium enterprises(SMEs) is of paramount importance. Causal analysis serves as a robust tool, aiding policy makers in their decision-making process by precisely discerning the real impacts of policies and quantifying their efficacy, while concurrently isolating these effects from extraneous factors. This method of analysis enjoys widespread application as a vital empirical tool across diverse academic disciplines. In this manuscript, we succinctly elucidate two of the three prevailing methodologies that govern the realm of causal analysis - the potential outcome approach and the do-calculus approach, whilst also shedding light on the contemporary advancements in causal analysis techniques

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      국문 초록 (Abstract)

      중소기업 정책(특히 금융)에 대한 분석과 평가는 매우 중요한 과정이다. 인과분석은 정책의 실질적인 효과를 정확하게 식별하고, 그 효율성과 효과를 다른 요인으로부터 분리하는 데있어 효과적인 도구로서, 정책 결정자의 의사결정 과정을 돕는다. 인과분석은 다양한 학문분야에서 중요한 경험적 분석방법으로서 광범위하게 활용되고 있다. 본 논문에서는 인과분석의 주요 흐름을 이루는 세 가지 방법론 중, 잠재결과 접근법과 do-calculus 접근법에 대해 간략하게 설명하며, 동시에 인과분석 방법론의 최신 동향을 소개한다
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      중소기업 정책(특히 금융)에 대한 분석과 평가는 매우 중요한 과정이다. 인과분석은 정책의 실질적인 효과를 정확하게 식별하고, 그 효율성과 효과를 다른 요인으로부터 분리하는 데있어 효...

      중소기업 정책(특히 금융)에 대한 분석과 평가는 매우 중요한 과정이다. 인과분석은 정책의 실질적인 효과를 정확하게 식별하고, 그 효율성과 효과를 다른 요인으로부터 분리하는 데있어 효과적인 도구로서, 정책 결정자의 의사결정 과정을 돕는다. 인과분석은 다양한 학문분야에서 중요한 경험적 분석방법으로서 광범위하게 활용되고 있다. 본 논문에서는 인과분석의 주요 흐름을 이루는 세 가지 방법론 중, 잠재결과 접근법과 do-calculus 접근법에 대해 간략하게 설명하며, 동시에 인과분석 방법론의 최신 동향을 소개한다

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      참고문헌 (Reference)

      1 노화준, "정책평가론" 법문사 2015

      2 Abadie, A., "The Economic Costs of Conflict : A Case Study of the Basque Country" 93 (93): 113-132, 2003

      3 Abadie, A., "Synthetic Control Methods for Comparative Case Studies : Estimating the Effects of California’s Tobacco Control Program" 105 (105): 493-505, 2010

      4 Cook, Thomas D., "Quasi-Experimentation: Design &Analysis Issues for Field Settings" Rand McNally College Publishing Company 1979

      5 Imbens, G. W., "Potential Outcome and Directed Acyclic Graph Approaches to Causality : Relevance for Empirical Practice in Economics" 58 (58): 1129-1179, 2020

      6 Huntington-Klein, N., "Pearl before economists : the book of why and empirical economics" 29 (29): 326-334, 2022

      7 Angrist, J. D., "Mostly Harmless Econometrics: An Empiricist’s Companion" Princeton University Press 2009

      8 Karlan, D., "More Than Good Intentions: Improving the Ways the World’s Poor Borrow, Save, Farm, Learn, and Stay Healthy" A Plume Book 2012

      9 Ostrom, E., "Methodologies for Analyzing Public Policies" D.C. Heath and Company 1975

      10 Chetty, R., "Measuring the Impacts of Teachers I : Evaluating Bias in Teacher Value-Added Estimates" 104 (104): 2593-2632, 2014

      1 노화준, "정책평가론" 법문사 2015

      2 Abadie, A., "The Economic Costs of Conflict : A Case Study of the Basque Country" 93 (93): 113-132, 2003

      3 Abadie, A., "Synthetic Control Methods for Comparative Case Studies : Estimating the Effects of California’s Tobacco Control Program" 105 (105): 493-505, 2010

      4 Cook, Thomas D., "Quasi-Experimentation: Design &Analysis Issues for Field Settings" Rand McNally College Publishing Company 1979

      5 Imbens, G. W., "Potential Outcome and Directed Acyclic Graph Approaches to Causality : Relevance for Empirical Practice in Economics" 58 (58): 1129-1179, 2020

      6 Huntington-Klein, N., "Pearl before economists : the book of why and empirical economics" 29 (29): 326-334, 2022

      7 Angrist, J. D., "Mostly Harmless Econometrics: An Empiricist’s Companion" Princeton University Press 2009

      8 Karlan, D., "More Than Good Intentions: Improving the Ways the World’s Poor Borrow, Save, Farm, Learn, and Stay Healthy" A Plume Book 2012

      9 Ostrom, E., "Methodologies for Analyzing Public Policies" D.C. Heath and Company 1975

      10 Chetty, R., "Measuring the Impacts of Teachers I : Evaluating Bias in Teacher Value-Added Estimates" 104 (104): 2593-2632, 2014

      11 Gentler, Paul J., "Impact Evaluation in Practice" World Bank Group 2016

      12 Athey, S., "Handbook of Economic Field Experiments" Elsevier 73-140, 2017

      13 Rossi, P. H., "Evaluation: Systematic Approach" Sage Publications 2018

      14 Fryer Jr, R. G., "Enhancing the Efficiency of Teacher Incentives through Framing : A Field Experiment" 14 (14): 269-299, 2012

      15 Wooldridge, Jeffrey M., "Econometric Analysis of Cross Section and Panel Data" MIT Press 2010

      16 Norton, David Fate, "David Hume: A Treatise of Human Nature" Oxford University Press 2000

      17 Bunge, Mario, "Causality: The Place of Causal Principle in Modern Science" Harvard University Press 1959

      18 Heckman, J. J., "Causality and Econometrics" NBER 1-80, 2022

      19 Pearl, Judea, "Causality" Cambridge University Press 2013

      20 Black, H.M. Jr, "Causal Models in the Social Sciences" Aldine Publishing Co 1971

      21 Cunningham, Scott, "Causal Inference: The Mixtape" Yale University Press 2021

      22 Colnet, B., "Causal Inference methods for combining randomized trials and observational studies: a review" 4 : 1-77, 2023

      23 Imbens, Guido W., "Causal Inference for Statistics, Social, and Biomedical Sciences" Cambridge University Press 2015

      24 Hernan, Miguel A., "Causal Inference What If" CRC Press:A Chapman & Hall Book 2020

      25 Banerjee, A., "Addressing absence" 20 (20): 117-132, 2006

      26 Bhaskar, Roy, "A Realist Theory of Science" Routledge 1975

      27 Suppes, P., "A Probabilistic Theory of Causality" North Holland Pub. Co 1970

      28 Malinsky, D., "A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects" 89 : 2019

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