Essays on Frictions in Financial Decisions
Název práce v češtině: | Eseje o třenicích ve finančních rozhodnutích |
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Název v anglickém jazyce: | Essays on Frictions in Financial Decisions |
Klíčová slova: | výběr investičního fondu, omezené zohlednění, finanční gramotnost, refinancování hypotéky, hledání hypotečního úvěru, fiskální multiplikátory, heterogenita bohatství |
Klíčová slova anglicky: | investment fund choice, limited consideration, financial literacy, mortgage refinancing, mortgage search, fiscal multipliers, wealth heterogeneity |
Akademický rok vypsání: | 2018/2019 |
Typ práce: | disertační práce |
Jazyk práce: | angličtina |
Ústav: | CERGE (23-CERGE) |
Vedoucí / školitel: | PhDr. Mgr. Ctirad Slavík, Ph.D. |
Řešitel: | skrytý![]() |
Datum přihlášení: | 01.10.2018 |
Datum zadání: | 01.10.2018 |
Datum potvrzení stud. oddělením: | 01.10.2018 |
Datum a čas obhajoby: | 30.07.2024 12:00 |
Místo konání obhajoby: | CERGE-EI, JCERGE402, 402, učebna číslo 402 |
Datum odevzdání elektronické podoby: | 20.03.2024 |
Datum proběhlé obhajoby: | 30.07.2024 |
Oponenti: | Filip Rozsypal, Ph.D. |
Roman Šustek, Ph.D. | |
Seznam odborné literatury |
Agarwal, S., Driscoll, J. C., Gabaix, X., and Laibson, D. (2007). The Age of Reason: Financial Decisions over the Lifecycle. Working Paper 13191, National Bureau of Economic Research Cambridge, Mass., USA.
Agarwal, S., Grigsby, J., Hortaçsu, A., Matvos, G., Seru, A., and Yao, V. (2020). Searching for approval. Working Paper 27341, National Bureau of Economic Research. Agarwal, S. and Mazumder, B. (2013). Cognitive Abilities and Household Financial Decision Making. American Economic Journal: Applied Economics, 5(1):193–207. Agarwal, S., Rosen, R. J., and Yao, V. (2016). Why do Borrowers make Mortgage Refinancing Mistakes? Management Science, 62(12):3494–3509. Aguiar, V. and Kashaev, N. (2021). Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets. Available at SSRN 3869963. Aguiar, V. H., Boccardi, M. J., Kashaev, N., and Kim, J. (2023). Random Utility and Limited Consideration. Quantitative Economics, 14(1):71–116. Ameriks, J., Caplin, A., and Leahy, J. (2003). Wealth Accumulation and the Propensity to Plan. The Quarterly Journal of Economics, 118(3):1007–1047. Andersen, S., Campbell, J. Y., Nielsen, K. M., and Ramadorai, T. (2020). Sources of Inaction in Household Finance: Evidence From the Danish Mortgage Market. American Economic Review, 110(10):3184–3230. Auclert, A., Bardóczy, B., and Rognlie, M. (2023). MPCs, MPEs, and Multipliers: A Trilemma for New Keynesian Models. Review of Economics and Statistics, 105(3):700–712. Auclert, A., Bardóczy, B., Rognlie, M., and Straub, L. (2021). Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models. Econometrica, 89(5):2375–2408. Auclert, A. and Rognlie, M. (2018). Inequality and Aggregate Demand. Working Paper 24280, National Bureau of Economic Research. Auclert, A., Rognlie, M., and Straub, L. (2018). The Intertemporal Keynesian Cross. Working Paper 25020, National Bureau of Economic Research. Barseghyan, L., Molinari, F., and Thirkettle, M. (2021). Discrete Choice Under Risk With Limited Consideration. American Economic Review, 111(6):1972–2006. Bartlett, R., Morse, A., Stanton, R., and Wallace, N. (2022). Consumer-Lending Discrimination in the FinTech Era. Journal of Financial Economics, 143(1):30–56. Bayer, C., Born, B., and Luetticke, R. (2023). The Liquidity Channel of Fiscal Policy. Journal of Monetary Economics, 134:86–117. Bezhanova, K., Gapinska, M., Yordanov, Y., Zubimendi Toran, L., and Wahrig, L. (2023). Government Debt Down to 90.3% of GDP in Euro Area. Euro Indicator 119/2023, European Comission. Bhattacharya, K., Kapoor, A., and Madan, A. (2021). Five Trends Reshaping the US Home Mortgage Industry. Technical report, McKinsey & Company. Bhutta, N., Blair, J., and Dettling, L. (2022a). The Smart Money is in Cash? Financial Literacy and Liquid Savings Among US Families. Journal of Accounting and Public Policy, page 107000. Bhutta, N., Blair, J., and Dettling, L. (2022b). The Smart Money is in Cash? Financial Literacy and Liquid Savings Among U.S. Families. Journal of Accounting and Public Policy, page 107000. Bhutta, N., Fuster, A., and Hizmo, A. (2020). Paying Too Much? Price Dispersion in the U.S. Mortgage Market. Finance and Economics Discussion Series 2020-062, Board of Governors of the Federal Reserve System. Brandsaas, E. E. (2021). Household Stock Market Participation and Exit: The Role of Homeownership. Technical report, Working Paper. Broer, T., Krusell, P., and Öberg, E. (2023). Fiscal Multipliers: A Heterogenous-Agent Perspective. Quantitative Economics, 14(3):799–816. Calvet, L. E., Campbell, J. Y., and Sodini, P. (2007). Down or Out: Assessing the Welfare Costs of Household Investment Mistakes. Journal of Political Economy, 115(5):707–747. Calvet, L. E., Campbell, J. Y., and Sodini, P. (2009a). Fight or Flight? Portfolio Rebalancing by Individual Investors. The Quarterly Journal of Economics, 124(1):301–348. Calvet, L. E., Campbell, J. Y., and Sodini, P. (2009b). Measuring the Financial Sophistication of Households. American Economic Review, 99(2):393–98. Calvet, L. E. and Sodini, P. (2014). Twin Picks: Disentangling the Determinants of Risk-Taking in Household Portfolios. The Journal of Finance, 69(2):867–906. Campbell, J. Y. (2006). Household Finance. The Journal of Finance, 61(4):1553–1604. Caplin, A., Dean, M., and Leahy, J. (2019). Rational Inattention, Optimal Consideration Sets, and Stochastic Choice. The Review of Economic Studies, 86(3):1061–1094. Carroll, C., Slacalek, J., Tokuoka, K., and White, M. N. (2017). The Distribution of Wealth and the Marginal Propensity to Consume. Quantitative Economics, 8(3):977–1020. Carroll, C. D. (2006). The Method of Endogenous Gridpoints for Solving Dynamic Stochastic Optimization Problems. Economics letters, 91(3):312–320. Carroll, C. D., Slacalek, J., and Tokuoka, K. (2014). The Distribution of Wealth and the MPC: Implications of New European Data. American Economic Review, 104(5):107–111. Chalmers, J. and Reuter, J. (2020). Is Conflicted Investment Advice Better than No Advice? Journal of Financial Economics, 138(2):366–387. Chetty, R., Friedman, J. N., Leth-Petersen, S., Nielsen, T. H., and Olsen, T. (2014). Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence From Denmark. The Quarterly Journal of Economics, 129(3):1141–1219. Chetty, R., Guren, A., Manoli, D., and Weber, A. (2011). Are Micro and Macro Labor Supply Elasticities Consistent? A Review of Evidence on the Intensive and Extensive Margins. American Economic Review, 101(3):471–475. Christiano, L., Eichenbaum, M., and Rebelo, S. (2011). When is the Government Spending Multiplier Large? Journal of Political Economy, 119(1):78–121. Coen, J., Kashyap, A. K., and Rostom, M. (2023). Price discrimination and mortgage choice. Working Paper 31652, National Bureau of Economic Research. Coughlin, M. (2019). Insurance Choice With Non-Monetary Plan Attributes: Limited Consideration in Medicare Part D. Technical report, Cornell University Working Paper. Crawford, G. S., Griffith, R., and Iaria, A. (2021). A Survey of Preference Estimation With Unobserved Choice Set Heterogeneity. Journal of Econometrics, 222(1):4–43. Damen, S. and Buyst, E. (2017). Mortgage shoppers: how much do they save? Real Estate Economics, 45(4):898–929. Enamorado, T., Fifield, B., and Imai, K. (2019). Using a probabilistic model to assist merging of large-scale administrative records. American Political Science Review, 113(2):353–371. Fagereng, A., Guiso, L., Malacrino, D., and Pistaferri, L. (2020). Heterogeneity and Persistence in Returns to Wealth. Econometrica, 88(1):115–170. Fellegi, I. P. and Sunter, A. B. (1969). A Theory for Record Linkage. Journal of the American Statistical Association, 64(328):1183–1210. Floden, M. and Lindé, J. (2001). Idiosyncratic Risk in the United States and Sweden: Is There a Role for Government Insurance? Review of Economic Dynamics, 4(2):406–437. Gennaioli, N., Shleifer, A., and Vishny, R. (2015). Money Doctors. The Journal of Finance, 70(1):91–114. Gerardi, K., Willen, P. S., and Zhang, D. H. (2023). Mortgage Prepayment, Race, and Monetary Policy. Journal of Financial Economics, 147(3):498–524. Gil-Bazo, J. and Imbet, J. F. (2020). Tweeting for Money: Social Media and Mutual Fund Flows. Available at SSRN 3719169. Hagedorn, M., Manovskii, I., and Mitman, K. (2019). The Fiscal Multiplier. Working Paper 25571, National Bureau of Economic Research. Heathcote, J., Storesletten, K., and Violante, G. L. (2017). Optimal Tax Progressivity: An Analytical Framework. The Quarterly Journal of Economics, 132(4):1693–1754. Heckman, J. J. (1979). Sample Selection Bias as a Specification Error. Econometrica: Journal of the Econometric Society, pages 153–161. Jappelli, T. and Padula, M. (2017). Consumption Growth, the Interest Rate, and Financial Sophistication. Journal of Pension Economics and Finance, 16(3):348–370. Jappelli, T. and Pistaferri, L. (2014). Fiscal Policy and MPC Heterogeneity. American Economic Journal: Macroeconomics, 6(4):107–136. Johnson, D. S., Parker, J. A., and Souleles, N. S. (2006). Household Expenditure and the Income Tax Rebates of 2001. American Economic Review, 96(5):1589–1610. Jung, J., Kim, J. H., Matějka, F., and Sims, C. A. (2019). Discrete Actions in Information-Constrained Decision Problems. The Review of Economic Studies, 86(6):2643–2667. Kacperczyk, M., Nosal, J., and Stevens, L. (2019). Investor Sophistication and Capital Income Inequality. Journal of Monetary Economics, 107:18–31. Kaplan, G., Moll, B., and Violante, G. L. (2018). Monetary Policy According to HANK. American Economic Review, 108(3):697–743. Kaplan, G. and Violante, G. L. (2014). A Model of the Consumption Response to Fiscal Stimulus Payments. Econometrica, 82(4):1199–1239. Kaplan, G. and Violante, G. L. (2018). Microeconomic Heterogeneity and Macroeconomic Shocks. Journal of Economic Perspectives, 32(3):167–194. Kaplan, G. and Violante, G. L. (2022). The Marginal Propensity to Consume in Heterogeneous Agent Models. Annual Review of Economics, 14:747–775. Kaplan, G., Violante, G. L., and Weidner, J. (2014). The Wealthy Hand-to-Mouth. Brookings Papers on Economic Activity, 1:77–153. Keys, B. J., Pope, D. G., and Pope, J. C. (2016). Failure to Refinance. Journal of Financial Economics, 122(3):482–499. Kline, P. and Walters, C. R. (2019). On Heckits, LATE, and Numerical Equivalence. Econometrica, 87(2):677–696. Luetticke, R. (2021). Transmission of Monetary Policy with Heterogeneity in Household Portfolios. American Economic Journal: Macroeconomics, 13(2):1–25. Lusardi, A. (2019). Financial Literacy and the Need for Financial Education: Evidence and Implications. Swiss Journal of Economics and Statistics, 155(1):1–8. Lusardi, A., Michaud, P.-C., and Mitchell, O. S. (2017). Optimal Financial Knowledge and Wealth Inequality. Journal of Political Economy, 125(2):431–477. Lusardi, A., Michaud, P.-C., and Mitchell, O. S. (2020). Assessing the Impact of Financial Education Programs: A Quantitative Model. Economics of Education Review, 78:101899. Lusardi, A. and Mitchell, O. S. (2014). The Economic Importance of Financial Literacy: Theory and Evidence. Journal of Economic Literature, 52(1):5–44. Lusardi, A., Mitchell, O. S., and Curto, V. (2010). Financial Literacy Among the Young. Journal of Consumer Affairs, 44(2):358–380. Mani, A., Mullainathan, S., Shafir, E., and Zhao, J. (2013). Poverty Impedes Cognitive Function. Science, 341(6149):976–980. Manzini, P. and Mariotti, M. (2014). Stochastic Choice and Consideration Sets. Econometrica, 82(3):1153–1176. McFadden, D. and Train, K. (2000). Mixed MNL Models for Discrete Response. Journal of Applied Econometrics, 15(5):447–470. Mudzingiri, C. (2021). The Impact of Financial Literacy on Risk Seeking and Patient Attitudes of University Students. Development Southern Africa, 38(5):845–861. Mullainathan, S., Noeth, M., and Schoar, A. (2012). The Market for Financial Advice: An Audit Study. Working Paper 17929, National Bureau of Economic Research. Mullainathan, S. and Shleifer, A. (2005). Persuasion in Finance. Working Paper 11838, National Bureau of Economic Research. Nieddu, M. and Pandolfi, L. (2021). Cutting Through the Fog: Financial Literacy and Financial Investment Choices. Journal of the European Economic Association, 19(1):237–274. Qiu, X. and Russo, N. (2023). Income Taxation: A Cross-Country Comparison. Mimeo. Rabin, M. (2013). Risk Aversion and Expected-utility Theory: A Calibration Theorem. In Handbook of the Fundamentals of Financial Decision Making: Part I, pages 241–252. World Scientific. Rotemberg, J. J. (1982). Monopolistic Price Adjustment and Aggregate Output. The Review of Economic Studies, 49(4):517–531. Slacalek, J., Tristani, O., and Violante, G. L. (2020). Household Balance Sheet Channels of Monetary Policy: A Back of the Envelope Calculation for the Euro Area. Journal of Economic Dynamics and Control, 115:103879. Sutter, M., Weyland, M., Untertrifaller, A., and Froitzheim, M. (2020). Financial Literacy, Risk and Time Preferences – Results From a Randomized Educational Intervention. Discussion Paper 13566, IZA. Trabandt, M. and Uhlig, H. (2011). The Laffer Curve Revisited. Journal of Monetary Economics, 58(4):305–327. Van Rooij, M., Lusardi, A., and Alessie, R. (2011). Financial Literacy and Stock Market Participation. Journal of Financial Economics, 101(2):449–472. Vuong, Q. H. (1989). Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses. Econometrica: Journal of the Econometric Society, pages 307–333. Zhou, X. (2022). FinTech Lending, Social Networks and the Transmission of Monetary Policy. FRB of Dallas Working Paper 2203, FRB of Dallas. |
Předběžná náplň práce |
Tato disertační práce analyzuje individuální finanční rozhodování a jejich důsledky pro heterogenitu v bohatství. V kapitole 1 vytvářím strukturální rámec diskrétní volby investičního fondu. Na základě údajů z Průzkumu spotřebitelských financí (Survey of Consumer Finances, SCF) ukazuji, že domácnosti zvažují výběr investičního fondu omezeně. Odhady strukturálního modelu konkrétně ukazují, že domácnosti se při výběru fondu rozhodují pouze na základě podmnožiny dostupných možností. V závislosti na bohatství jsou peněžní ztráty z omezeného zvažování vyšší u méně finančně gramotných domácností, což naznačuje, že jejich volba je zjednodušená.
V kapitole 2 se zaměřujeme na rozhodování domácností o čerpání hypoték a refinancování. Naše nové odhady na amerických datech ukazují, že rozdíly v hypotečních sazbách závisí na úrovni finančních dovedností a úsilí jednotlivců při hledání. Konkrétně implementujeme stochastické propojení záznamů a zjišťujeme, že domácnosti s nízkou finanční gramotností mají až o 4% nižší pravděpodobnost, že budou zvažovat více věřitelů a zafixují se na sazbách vyšších o 15-20 bazických bodů. Po poskytnutí hypotéky se nekvalifikovaní dlužníci potýkají s o 35-45% vyšší delikvencí a nakonec mají o 30% nižší pravděpodobnost refinancování. Pokračujeme v kvantifikaci peněžních ztrát způsobených neefektivním vyhledáváním a ukazujeme, že domácnosti s nízkými finančními dovednostmi zaplatí při poskytnutí hypotéky o více než 10% více. Kapitola 3 se rozšiřuje na obecnou rovnováhu a rozvíjí novokeynesiánský model s heterogenními agenty s podrobným popisem finančního zprostředkování a věrohodnými mezními sklony ke spotřebě (MPC). Pro motivaci modelu zkoumáme údaje z šetření domácností v Eurozóně a dokumentujeme značnou heterogenitu v podílech bohatých a chudých domácností, které se chovají jako ‚hand-to-mouth‘ (HtM, z ruky do úst), a v držbě likvidních a nelikvidních aktiv. Zohlednění heterogenních MPC umožňuje věrohodně předpovědět účinnost fiskální politiky v krátkodobém i dlouhodobém horizontu. Pomocí modelu ukazujeme, že financování vládního dluhu dluhem a vládními transfery má největší pozitivní dlouhodobý vliv na HDP. Pro vysvětlení agregátní reakce na fiskální stimuly zavádíme nový kvantitativní rozklad agregátní spotřeby založený na statusu HtM a bohatství domácností. |
Předběžná náplň práce v anglickém jazyce |
This dissertation analyzes individual financial decisions and their implications for wealth heterogeneity. In Chapter 1, I build a structural framework of a discrete investment fund choice. Using the Survey of Consumer Finances (SCF) data, I show that households exhibit limited consideration when choosing an investment fund. Specifically, the structural model estimates show that households make their fund choice based only on a subset of available options. Conditional on wealth, monetary losses from limited consideration are higher for
less financially literate households, suggestive of their choice simplification. In Chapter 2, we focus on household mortgage take-up and refinancing decisions. Our novel U.S. data estimates show that the variation in mortgage rates depends on individual financial skill level and search effort. Specifically, we implement stochastic record linkage and find that households with low financial literacy are up to 4% less likely to consider more lenders and lock in at 15-20 b.p. higher rates. Upon origination, unskilled borrowers face a 35-45% higher mortgage delinquency and end up with a 30% lower likelihood of refinancing. We proceed to quantify monetary losses due to ineffective search, and we show that households with low financial skills pay more than 10% extra at the time of origination. Chapter 3 extends to the general equilibrium and develops a Heterogeneous Agents New Keynesian model with a detailed outline of financial intermediation and plausible marginal propensities to consume (MPC). To motivate the model, we explore household survey data for the Euro area and document substantial heterogeneity in wealthy and poor hand-to-mouth (HtM) shares and in households’ liquid and illiquid asset holdings. Accounting for heterogeneous MPCs allows plausible predictions of the effectiveness of fiscal policy in the short and long term. Using the model, we show that financing government debt with debt and government transfers has the largest positive long-term effect on output. To explain aggregate responses to fiscal stimulus, we introduce a new quantitative decomposition of aggregate consumption based on households’ HtM status and wealth. |