The role of aggregate cost stickiness in unemployment rate prediction

Document Type : Research Paper

Authors

1 Department of Accounting, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.

2 Department of Economics, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.

10.22034/amfa.2020.1889826.1361

Abstract

Predicting macroeconomic indicators is very important for policymakers and economists. Unemployment is one of the key indicators of macroeconomics that has adverse economic and social consequences. So far, many models have been proposed to predict this variable, but models in which accounting information was used to predict unemployment rate were ignored. The purpose of this paper is to investigate the relationship between aggregate cost stickiness, as one of the known variables in accounting, and unemployment rate. To this end, seasonal macro level time series data of Tehran Stock Exchange (TSE) and macroeconomic data are analyzed in two stages from 2008:2 to 2018:1. In the first stage, the relationship between these two variables is determined by specifying a linear regression model that is estimated using the OLS method. To investigate the predictive power of this model, the RMSE criterion was estimated in two scenarios with and without aggregate cost stickiness. Secondly, the reaction of the unemployment rate in response to a shock from aggregate cost stickiness is estimated by a Vector Autoregressive (VAR) model and the share of this variable is measured in the fluctuations of unemployment rate. The results show that aggregate cost stickiness improves the forecast of unemployment rate in the horizon previous. Also, the shock of aggregate cost stickiness explains about 6.5 percent of unemployment rate fluctuations.

Keywords


[1] Abdalla, A., Carabias, J. M., From accounting to economics: The role of aggregate special items in gauging the state of the economy, Social Science Research Network, 2016, 53 Pages, Doi:10.2139/ ssrn.2871600
[2] Anderson, M. C., Banker, R., Janakiraman, S., Are Selling, General and Administrative Costs "Sticky"? Journal of Accounting Research, 2003, 41(1), P.47-63, Doi: 10.1111/1475-679X.00095
[3] Anderson, E., Jaimovich, N., Asymmetric Cost Behavior, Recent Researches in Business, 2012, 102(9), P.152.
[4] Aruoba, S. B., Data Revisions Are Not Well Behaved, Journal of Money, Credit and Banking, 2008, 40(2-3), P.319-340.
[5] Asadi, G., Naghdi, S., Designing and Formulating the Forecasting Model of Economic Growth by Accounting Approach, Journal of Accounting Knowledge, 2018, 3, P.39-63. Doi: 10.22103/JAK.2018 .11095.2524 (In Persian)
[6] Ball, R. T., Gallo, L., Ghysels, E., Tilting the evidence: the role of firm-level earnings attributes in the relation between aggregated earnings and gross domestic product, Review of Accounting Studies, 2019, 24(2), P.570-592. Doi: 10.1007/s11142-019-09493-0
[7] Banker, R. D., Byzalov, D., Chen, L. T., Employment Protection Legislation, Adjustment Costs and Cross-Country Differences in Cost Behavior, Journal of Accounting and Economics, 2013, 55(1), P.111-127.
 Doi: 10.1016/j.jacceco.2012.08.003
[8] Banker, R. D., Byzalov, D., Asymmetric Cost Behavior, Journal of Management Accounting Research, 2014, 26(2), P.43-79. Doi: 10.2139/ssrn.2312779
[9] Branson, W. H., Macroeconomics Policies, New York: MacGraw-Hill, 1997.
[10] Calija, K., Steliaros, M., Thomas, D. C., A Note on Cost Stickiness: Some International Comparsions, Management Accounting Reaearch, 2006, 17(2), P.127-140. Doi: 10.1 016/j.mar.2006.02.001
[11] Chen, CX., Gores, T., Nasev, J., Managerial Overconfidence and Cost Stickiness, Social Science Research Network, 2013, P.371-376. Doi:10.2139/ssrn.2208622
[12] Gallo, L., Hann, R., Li, C., Aggregate earnings surprises, monetary policy, and stock returns, Journal of Accounting and Economics, 2016, 62(1), P.103-120. Doi:10.1016/j.jacceco.2016.04.003
[13] Gaertner, Fabio, B., Asad Kausar, Logan, B, Steele. The Usefulness of Negative Aggregate Earnings Changes in Predicting Future Gross Domestic Product Growth, Available at SSRN, 2017. Doi: 10.2139/ssrn.2656597
[14] Ghajar, E., Saeidi P. Investigating The Relationship Between Accounting Earning and Gross Domestic Product in Companies Listed in Tehran Stock Exchange, Advances in Mathematical Finance & Applications, 2016, 1(1), P.57-66. Doi:10.22034/AMFA.2016.526244
[15] Hilton, R., Managerial Accounting, New York: MacGraw-Hill, 1997.
[16] Horngren, C. T., Foster, G., Datar, S. M., Cost Accounting: A Managerial Emphasis, Accounting Education, 2010, 25(4), P.789-790. Doi:10.2308/iace.2010.25.4.789
[17] Kalay, A., Nallareddy, S., Sadka, G., Uncertainty and sectoral shifts: The interaction between firm-level and aggregate-level shocks, and macroeconomic activity, Management Science, 2016, 64(1), P.198-214.
 Doi: 10.1287/mnsc.2016.2581
[18] Kang, W., The asymmetric responses of aggregate earnings and stock returns to oil shocks and policy uncertaint, Asia-Pacific Journal of Accounting & Economics, 2019. Doi: 10.1080/1608 1625.2019.1654395
[19] Kim Jeong-Bon., Wang, Ke., Labor Unemployment Risk and Sticky Cost Behavior, 2014 Canadian Academic Accounting Association (CAAA) Annual Conference, 2014.
[20] Konchitchki, Y., Patatoukas, P. N., Taking the pulse of the real economy using financial statement analysis: Implications for macro forecasting and stock valuation, The Accounting Review, 2014, 89(2), P.669–694.
[21] Konchitchki, Y., Patatoukas, P. N., Accounting earnings and gross domestic product, Journal of Accounting and Economics, 2014, 57(1), P.76-88. Doi:10.1016/j.jacceco.2013.10.001
[22] Konchitchki, Y., Patatoukas, P. N., From forecasting to now casting the macro economy: A granular-origins approach using accounting earnings data, Review of Accounting Studies Conference, 2016.
[23] Lalwani, V., Chakraborty, M., Aggregate earnings and gross domestic product: International evidence, Applied Economics, 2020, 52(1), P.68-84. Doi:10.1080/00036846.2019.1640859
[24] Maddah, M.,Farhadi A. Evaluating the Economic Growth and Unemployment with Emphasis on Okun's LawIranian Journal of Official Statistics Studies, 2017, 27(2), 189-204.
[25] Naghdi, S., Asadi, G., Fazllzadeh, A., From Accounting to Economics: A New Approach in Recognition of the Importance of Financial Accounting Information. 2018, 9(2), P.121-149.Doi:10.22 099/JAA.2018.4799
[26] Naghdi, S., Asadi, G., Fazllzadeh, A., Noferesti, M., Macro-economic Modeling and Forecasting using aggregate Earnings and Management Earnings Forecasts, Journal of Empirical Research in Accounting, 2017, 7(26), P.165-190. Doi: 10.22051/jera.2017.15739.1688
[27] Nallareddy, S., Ogneva, M., Predicting restatements in macroeconomic indicators using accounting information, The Accounting Review, 2017, 92(2), P.151-182.Doi: 10.2308/accr-51528
[28] Odoemelam, N., Ofoegbu, N. G., Okafor, G. R., Aggregate Earnings and (UN) employment Rate: Evidence from Nigeria, Asian Journal of Economics, Business and Accounting, 2019, 12(3) P.1-19.
[29] Rouxelin, F., Wongsunwai, W., Yehuda, N., Aggregate cost stickiness in GAAP financial statements and future unemployment rate, The Accounting Review, 2017, 93(3), P.299-325. Doi: 10.2308/ accr-51939
[30] Sepasi, S., Kazempour, M., Cost Stickiness Concept and a Comperhensive Overview of Studies in Iran, Accounting and Auditing Studies, 5(19), P.1-38.
[31] Shevlin, T., Shivakumr, L., Oktay, O., Macroeconomic effects of aggregate corporate tax avoidance: A cross-country analysis, Working paper, University of California-Irvine, 2016.
[32] Shivakumar, L., Oktay, O., Why do aggregate earnings shocks predict future infation shocks? 11th London Business School Accounting Symposium, London, 2014.
[33] Shivakumar, L., Urcan, O. Why Does Aggregate Earnings Shocks Predict Future Inflation Shocks? Seminal paper submitted at Harvard Business School, 2014.
[33] Stock, J. B., Watson, M, How Did Leading Indicator Forecasts Perform During the 2001 Recession? Federal Reserve Bank of Richmond, Economic Quarterly, 2003, 89(3), P.71-90.
Volume 7, Issue 1
January 2022
Pages 65-80
  • Receive Date: 19 January 2020
  • Revise Date: 20 June 2020
  • Accept Date: 22 June 2020
  • First Publish Date: 01 January 2022