University of California Santa Cruz Essays in Lending
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UNIVERSITY OF CALIFORNIA SANTA CRUZ ESSAYS IN LENDING FRICTIONS, THE LABOR MARKET AND MONETARY POLICY A dissertation submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in ECONOMICS by David Florian Hoyle December 2015 The Dissertation of David Florian Hoyle is approved: Professor Carl E. Walsh, Chair Professor Johanna L. Francis Professor Kenneth M. Kletzer Dean Tyrus Miller Vice Provost and Dean of Graduate Studies Copyright c by David Florian Hoyle 2015 Table of Contents List of Figuresv List of Tables vii Abstract viii Acknowledgments ix 1 Introduction1 2 Gross credit flows and unemployment in a New Keynesian framework - with Johanna Francis- 4 2.1 Introduction..................................4 2.2 Empirical evidence on gross credit flows, unemployment and financial shocks..................................... 11 2.2.1 Data Description........................... 11 2.2.2 Cyclical properties of gross credit flows and gross job flows... 14 2.2.3 A Simple VAR............................ 17 2.3 The model economy............................. 21 2.3.1 Households.............................. 22 2.3.2 Firms................................. 30 2.3.3 A decentralized loan market..................... 35 2.3.4 Government.............................. 53 2.3.5 Aggregation and Market Clearing.................. 55 2.4 Computation and simulations........................ 61 2.4.1 The non-stochastic steady state................... 62 2.4.2 Calibration.............................. 64 2.4.3 Equilibrium dynamics: Monetary policy and financial shocks.. 72 2.5 Conclusion.................................. 87 iii 3 Monetary policy operating procedures, lending frictions, and employ- ment - with Christopher Limnios and Carl Walsh- 89 3.1 Introduction.................................. 89 3.2 The Model.................................. 96 3.2.1 Households.............................. 99 3.2.2 The loan market........................... 102 3.2.3 The interbank market........................ 123 3.2.4 The central bank........................... 133 3.2.5 Market Clearing and the Aggregate equilibrium......... 137 3.3 Computation and simulations........................ 144 3.3.1 Calibration.............................. 144 3.3.2 Model experiments.......................... 148 3.4 Conclusions.................................. 158 4 A comparative assessment of labor productivity during the Great Re- cession and the early 2000s recession: How choosier have employers become? - with Christopher Limnios - 162 4.1 Introduction.................................. 162 4.2 Model of the labor market.......................... 169 4.2.1 Value functions............................ 169 4.3 Empirical implementation.......................... 175 4.3.1 Parameterization........................... 176 4.3.2 Results................................ 178 4.3.3 Explanation of the results: What has changed?.......... 179 4.4 Conclusion.................................. 183 Bibliography 185 A Appendix to chapter 2 200 A.0.1 Summarizing the non-linear equilibrium conditions........ 203 A.0.2 Introducing absconding and credit rationing into the loan contract 208 A.0.3 The loan contract.......................... 210 B Appendix to chapter 3 215 B.0.1 Characterization of the aggregate non-linear equilibrium..... 215 iv List of Figures 2.1 Gross credit flows: Commercial lending.................. 17 2.2 Net job creation last two recessions..................... 18 2.3 Responses to a financial (EBP) shock................... 20 2.4 Responses to a financial (EBP) shock................... 21 2.5 Model responses to a monetary policy shock: A.............. 77 2.6 Model responses to a monetary policy shock: B.............. 78 2.7 Model responses to a monetary policy shock: C.............. 79 2.8 Model responses to a monetary policy shock: D.............. 81 2.9 Model responses to a financial shock: A.................. 83 2.10 Model responses to a financial shock: B.................. 84 2.11 Model responses to a financial shock: C.................. 85 2.12 Model responses to a financial shock: D.................. 86 3.1 Model responses to a payment shock: A.................. 148 3.2 Model responses to a payment shock: B.................. 150 3.3 Model responses to a payment shock: C.................. 151 3.4 Model responses to a payment shock: D.................. 152 3.5 Model responses to a payment shock: E.................. 153 3.6 Model responses to a financial shock: A.................. 154 3.7 Model responses to a financial shock: B.................. 156 3.8 Model responses to a financial shock: C.................. 157 3.9 Model responses to a financial shock: D.................. 158 3.10 Model responses to a financial shock: E.................. 159 4.1 The time path of the regression coefficient for Okun's law resulting by \rolling" a sliding interval of 100 observations. 95% confidence bands included..................................... 164 4.2 The time path for the residuals from the Okun's Law regression. Note the pattern of residual trajectories during all of the NBER recessions and how the pattern was reversed during the Great Recession......... 165 v 4.3 Source: Authors regression residuals. Data series for the civilian unem- ployment rate and the long-term and short-term natural rate of unem- ployment come from FRED. GDP data comes from FRED, while poten- tial GDP is the Hodrick-Prescott filtered series of the same GDP data with standard λ = 1600............................ 166 4.4 Source: Same as figure 2........................... 167 4.5 Time series of the model-implied level of πe................. 178 4.6 Implied series (in percentage deviation) for the firm’s implicit cost to posting a vacancy............................... 182 4.7 The series for the St. Louis Financial Stress Index and our series for v-hat. Source: FRED............................ 183 vi List of Tables 2.1 Parameters taken from the data and conventional values from the literature 66 2.2 Steady state targets............................. 67 2.3 Calibrated parameters to be consistent with steady state targets.... 71 2.4 Steady state values.............................. 72 3.1 Parameter values taken from the data................... 145 3.2 Steady state targets............................. 146 3.3 Calibrated parameter consistent with steady state targets........ 147 A.1 Descriptive statistics for credit and employment.............. 201 A.2 Standard Deviations and Correlations................... 202 vii Abstract ESSAYS in lending frictions, The Labor Market and Monetary Policy by David Florian Hoyle The Great Recession of 2008-09 in the U.S. was characterized by high and persistent unemployment and lack of bank lending due to liquidity issues. The recession was preceded by a housing crisis that quickly spread to the banking and broader financial sectors. We attempt to account for the depth and persistence of unemployment by considering the relationship between credit and firm hiring explicitly. To do so, we introduce search and matching frictions to characterize the dynamics of credit markets in a series of macroeconomic models that present different types of distortions in the labor market as well as in the interbank market. We obtain a novel propagation and amplification mechanism of a financial crisis associated to an inefficiency wedge that affects the aggregate production function of the economy and depends directly on credit conditions. viii Acknowledgments I would like to express my sincere gratitude to my advisers Prof. Carl E. Walsh and Prof. Johanna L. Francis for their continuous support, motivation and patience during all the stages of this dissertation. I also wish to thank Chris Limnios for collaboration and comments. Two professors change my way of thinking about economics, the social sciences and mathematics during my years as an undergraduate student: Oscar Dancourt and Ramon Garcia-Cobian. In their own way, Oscar and Ramon encouraged me to pursue doctoral studies. I am truly grateful to both of them. I gratefully acknowledge the funding sources that made my Ph.D. work possi- ble. I was funded by the Fulbright Scholarship Program for my first two years and by the Central Reserve Bank of Peru during all my doctoral studies. I was awarded UCSC funding for graduate studies for years 2 through 5. My time at UCSC was made enjoyable in large part due to the many friends and groups that became a part of my life. I am grateful for time spent with friends such as Linh, Jacopo, Yabin, Chris, Nick, Yuhan, Kevin, Maggie, Pia, Manuel, Arsenyi, Benjamin, Ciril and so on. Lastly, I would like to thank my family for all their love and encouragement. For my mom, Nelly who raised me with a love for knowledge and supported me in all my pursuits. And most of all for my loving, supportive, encouraging, and patient wife, Gaby, whose faithful support during all the stages of my doctoral studies is so ix appreciated. Thank you. x Chapter 1 Introduction The Great Recession of 2008-09 in the U.S. was characterized by high and persistent unemployment and lack of bank lending due to liquidity issues. The reces- sion was preceded by a housing crisis that quickly spread to the banking and broader financial sectors. In the second chapter of this dissertation, we attempt to account for the depth and persistence of unemployment by considering the relationship between credit and firm hiring explicitly. To understand this relationship, we first use a simple structural vector autoregression framework and historical data