Causal Microeconometrics in Accounting Research

• Autorzy: Marek Gruszczyński

Warianty tytułu

Mikroekonometria przyczynowa w badaniach w rachunkowości

• Języki publikacji: EN

Abstrakty

EN

Purpose: This paper reviews accounting research that employed causal inference methodology, with a focus on methods associated with causal microeconometrics (quasi-experimental). The reviewed papers were published in five leading accounting journals from 2017 through 2021. Methodology/approach: The research approach is a literature review of studies that apply the methodology of causal microeconometrics to accounting. The main section of the paper describes five methods: the treatment effects approach, propensity score matching, natural experiment, difference-in-differences estimators, and regression discontinuity design. The assumptions and limitations of each method are discussed, and selected examples of causal inference published in five leading accounting journals are provided. Findings: The study confirms the increasing frequency of the use of causal inference methodologies in accounting research. Sometimes referred to as quasi-experimental or causal microeconometric, these methods can provide a base for finding evidence of causality. However, there are limitations associated with each method. Practical implications: Statistical-econometric methodology in accounting research based on regression is rarely able to demonstrate causal relationships. This paper presents the pros and cons of applying causal inference methodologies in accounting. Originality/value: The paper's value lies in: (1) introducing to the research community the growing presence of quasi-experimental causal methodologies in accounting, (2) presenting causal research in accounting using causal microeconometric methods, (3) identifying papers using these methods that were published in five leading accounting journals between 2017 and 2021, and (4) highlighting the challenges and the need for caution and due consideration in applying these methods. (original abstract)

Cel: Artykuł przeglądowy złożony z opisu oraz przykładów zastosowania metodyki wnioskowania przyczynowego w badaniach w rachunkowości. Koncentrujemy się na metodach zaliczanych do mikroekonometrii przyczynowej (quasi-eksperymentalnych). Przegląd zastosowań obejmuje artykuły opublikowane w pięciu renomowanych czasopismach naukowych z zakresu rachunkowości w latach 2017-2021. Metodyka/podejście badawcze: Metodą badawczą jest przegląd literatury. Przedstawione są metody mikroekonometrii przyczynowej w zastosowaniu do badań w rachunkowości. Główna część artykułu opisuje metody oparte na koncepcji efektów oddziaływania, metodę propensity score matching, eksperyment naturalny, estymację metodą DiD: difference- in-differences (różnicy w różnicach) oraz RDD: regression discontinuity design (model regresji nieciągłej). Omawiamy również założenia i ograniczenia tych metod. Przedstawiamy także przykłady zastosowań metod wnioskowania przyczynowego z wybranych artykułów opublikowanych w pięciu czołowych czasopismach naukowych z zakresu rachunkowości. Wyniki: Przegląd potwierdza rosnącą popularność metod wnioskowania przyczynowego w badaniach z zakresu rachunkowości. Do wykrywania przyczynowości służą m.in. metody quasi-eksperymentalne (mikroekonometrii przyczynowej). Jednakże, każda z metod ma rozmaite ograniczenia. Praktyczne implikacje: Metody statystyczno-ekonometryczne oparte na analizie modelu regresji rzadko mogą dać odpowiedź na pytanie o związek przyczynowy. W tym artykule przedstawiamy argumenty za i przeciw stosowaniu nowych metod wnioskowania przyczynowego w obszarze rachunkowości. Oryginalność/wartość: Oryginalność artykułu polega na: (1) wskazaniu rosnącej metodyki przyczynowej (quasi-eksperymentalnej) w badaniach z zakresu rachunkowości, (2) przedstawieniu metod mikroekonometrii przyczynowej w rachunkowości, wraz z ograniczeniami tych metod, (3) pokazaniu listy artykułów wykorzystujących te metody i opublikowanych w pięciu renomowanych czasopismach naukowych z rachunkowości w okresie 2017-2021 oraz (4) podkreśleniu wyzwań i ograniczeń związanych ze stosowaniem tych metod. (abstrakt oryginalny)

Słowa kluczowe

EN

Causality; Accounting; Microeconometrics

PL

Przyczynowość; Rachunkowość; Mikroekonometria

• Czasopismo: Zeszyty Teoretyczne Rachunkowości
• Rocznik: 2023
• Tom: 47
• Numer: nr 4
• Strony: 69--90

Twórcy

autor

Marek Gruszczyński

• SGH Warsaw School of Economics

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Identyfikatory

DOI

10.5604/01.3001.0054.0884