Index

Essays in Honour of Fabio Canova

ISBN: 978-1-80382-832-9, eISBN: 978-1-80382-831-2

ISSN: 0731-9053

Publication date: 21 September 2022

This content is currently only available as a PDF

Citation

(2022), "Index", Dolado, J.J., Gambetti, L. and Matthes, C. (Ed.) Essays in Honour of Fabio Canova (Advances in Econometrics, Vol. 44B), Emerald Publishing Limited, Leeds, pp. 191-196. https://doi.org/10.1108/S0731-90532022000044B006

Publisher

:

Emerald Publishing Limited

Copyright © 2022 Juan J. Dolado, Luca Gambetti and Christian Matthes


INDEX

Note: Page numbers followed by ”n” indicate notes.

Acceleration cycle
, 136–137

Akaike Information Criterion
, 83

ARCH-type conditional heteroskedasticity
, 11

Asset

pricing models
, 88

types
, 154

Autocovariance function
, 108

Autoregressive models
, 2

Average pair-wise directional connectedness
, 54

Bank of England (BoE)
, 148–149, 173

Bayesian approach
, 2

Bayesian semi-parametric methodology
, 41

Beauty contest assessment criteria
, 111–115

’Beggar-thy-neighbour’ effects
, 40

Beveridge–Nelson filter (BN filter)
, 47, 101, 137–138

Bivariate model for GDE–GDI measures
, 24

Bivariate VAR
, 97

Bry and Boschan quarterly dating algorithm (BBQ dating algorithm)
, 101, 112–113

Bureau of Economic Analysis (BEA)
, 3

Business cycle (BC)
, 79–90, 100

actual cycles comparison
, 118

beauty contest assessment criteria
, 111–115

calculation
, 101–102

cyclical convergence
, 102–103

defining
, 133

gross domestic product
, 118–122

mathematics of Ten TCD methods
, 135–144

MC simulation
, 103–106, 115–118

methods used for TCD
, 106–111

power transfer functions
, 134

results and assessment
, 115

synchronization of cycles with Euro Area
, 125–128

TCD methods
, 100–101

unemployment rates
, 122–125

Butterworth–Whittaker filter (BWF)
, 100

Calibrated parameters
, 160–161

Carter and Kohn’s algorithm
, 72

Changing inflation targets
, 177

Chi-squared distributed variables
, 24

Christiano–Fitzgerald filter (CF filter) 101
, 138–140

Classical cycle
, 136

Coherence
, 115, 125

Commodity price inflation
, 54

Comovement

decomposing
, 172–174

external validation
, 177–179

forces driving
, 174–177

policy implication
, 179

understanding
, 172

’Complementary’ spillover effects
, 40

Conditional asymmetry
, 11–12, 34–35

Conditional heteroskedasticity
, 10, 11, 33

Counterfactuals
, 176–177

Covariance matrix
, 12, 34

of influence functions
, 12–13

Credit market
, 67

Credit market disruptions

and business cycle
, 79

data
, 80–82

empirical issues
, 80

Great Recession
, 79–80

identification
, 84

macroeconomic effects of, 91n9

model selection
, 82–83

results
, 84–90

Credit shocks
, 80

’Curse of dimensionality’ problem
, 42

Cycle-extraction methods
, 115

Cyclical convergence
, 125

Data generating processes (DGPs)
, 14, 67

DGPs under alternatives
, 15

and estimation under null
, 14

Debt targeting rule
, 159

Decompositions, 188n2

comovement
, 172–174

Demand functions
, 158

Deviance Information Criterium (DIC)
, 83

Diagonal matrix
, 68

Domestic effects
, 58

Domestic financial intermediaries
, 153–155

Domestic long-term interest rate
, 155

DSGE model
, 41, 149–150, 170, 179

fit
, 158

qualitative (un)importance of non-standard features in
, 188–189

Dynamic bivariate model
, 21

Dynamic factor-augmented VAR model
, 170

Econometric framework
, 68

algorithm
, 70–71

drawing state vector
, 71–72

estimation
, 69

MS2-FAVAR Model
, 68–69

priors
, 72–73

Economic events
, 38

Economy-specific monetary policy shocks
, 57

Estimation algorithm
, 94–97

Euro Area (EA)
, 38

synchronization of cycles with
, 125–128

European Central Bank (ECB)
, 38

European sovereign debt crisis
, 56

European Union (EU)
, 100

Exchange rate
, 157

Exports
, 160

External validation
, 177–179

Factor models
, 66

Factor-augmented vector autoregressive model (FAVAR model)
, 66–67, 68, 80, 170, 186

Financial crisis
, 38, 53

Financial indicators
, 66

Financial institutions
, 2

Financial intermediaries
, 153

Finite sample performance
, 74–79

First differences (FD)
, 100

Fixed-coefficient VARs
, 43

Forecasting exercise
, 97–98

Foreign long-term bonds
, 154

Foreign long-term interest rates, 181n2

Fourth-order multivariate Hermite polynomials
, 9

Frequency domain
, 107–109

Gaussian asymptotic approximation
, 13

Gaussian maximum likelihood estimators
, 8–10

Gibbs sampler estimation procedure
, 67, 70

Global financial crisis (GFC)
, 101

Goodness-of-fit
, 143

Government
, 159–160

Great Inflation
, 56

Great Moderation
, 21, 38, 41, 54, 56, 58

Great Recession, 21, 50, 56, 79–80, 90, 188n3

Gross domestic expenditure (GDE)
, 3

bivariate model for GDE–GDI measures
, 24

Gross domestic income (GDI)
, 3

bivariate model for GDE–GDI measures
, 24

Gross domestic product (GDP)
, 3, 101, 118–122

Growth cycle
, 101, 103, 107, 112–114, 133, 136–137, 140

Hamilton filter (HF)
, 100, 138

Hermite polynomials
, 33

Hessian matrix
, 6

‘Heterocliticity’
, 10

Heterogeneous switching

credit market disruptions and business cycle
, 79–90

econometric framework
, 68–73

estimation algorithm
, 94–97

FAVAR model
, 66–67

forecasting exercise
, 97–98

Monte Carlo simulations
, 73–79

High-dimensional factor-augmented VAR models
, 66

Hodrick–Prescott filter (HP filter)
, 100, 115, 140–142

Households
, 157–159

Independent Normal-Wishart prior distribution
, 72

Inflation spillover effects
, 60

Inflation-target shock, 173, 188, 188n3

Influence functions
, 34

covariance matrices of
, 12–13

interpretation of
, 11–12

Information matrix test
, 2–3

of multivariate regression model
, 3–10

Interest rates155–157

spillover effects
, 59

Intermediary balance sheet
, 153–154

International long-term interest rate comovement

calibrated parameters
, 160–161

data
, 160, 189

prior distributions
, 161–165

domestic financial intermediaries
, 153–155

estimation
, 160

exchange rate
, 157

exports
, 160

firms
, 152–153

government, monetary policy and resource constraint
, 159–160

historical decompositions of USA and UK long-term interest rates
, 187–188

households
, 157–159

interest rates and term premia
, 155–157

long-term interest rate comovement
, 148

model validation
, 168–172

parameter estimates
, 165–168

posterior estimation
, 165

qualitative (un)importance of non-standard features in DSGE model
, 188–189

robustness
, 179–180

SOE
, 148–149, 151

structural vs. reduced-form analysis
, 186–187

theoretical model
, 151

understanding comovement
, 172–179

Intuition
, 174

Joint estimation approach
, 52

Kalman filter
, 168

Kernel function
, 44

Keynesian model
, 49

Labour supply curve
, 159

Lagrange multiplier (LM)
, 2

Likelihood

framework
, 2

function
, 94–95

ratio
, 2

Linear factor models
, 66

Linear FAVAR model, 91n9

Log-likelihood function
, 4

Long-term debt risk premium shock
, 172

Long-term domestic bonds
, 154

Long-term interest rates
, 148, 155, 156

comovement
, 148–149, 168, 179

domestic
, 155

UK
, 187

US
, 187

Long-term nominal interest rates
, 148

Macroeconomic indicator
, 68

Macroeconomic models
, 80

Macroeconomic variables
, 66

Markov chain Monte Carlo algorithms (MCMC algorithms)
, 39

Markov processes
, 66

Markov-switching

Bayesian VARs
, 67

factor loadings
, 67

parameters
, 66

variables
, 70

Maximal overlap discrete wavelet transformation approach (MODWT approach)
, 142

Metropolis-Hastings sampler
, 165

Model fit and moment estimates
, 168–169

Model validation
, 168

model fit and moment estimates
, 168–169

reduced-form models of comovement
, 170–172

term-premium estimates
, 169–170

Monetary policy
, 38, 49, 159–160

data and priors
, 46

empirical application
, 46

methodology
, 42–45

reduced-form evidence
, 46–53

shock analysis
, 40–41

structural analysis
, 57–60

time-varying connectedness
, 53–56

TVP model
, 38–39

Monte Carlo analysis
, 13

design
, 14–16

power of tests
, 19–20

simulation results
, 16

size properties
, 16–19

Monte Carlo exercise
, 3

Monte Carlo simulations (MC simulations)
, 73, 101, 103–106, 115–118

design
, 73–74

finite sample performance
, 74–79

Multi-state Markov-switching factor-augmented vector autoregressive model (MS2-FAVAR Model)
, 67, 68–69, 73

Multivariate Hermite polynomials
, 7

Multivariate regression model
, 3

information matrix tests of
, 3–10

Mundell–Fleming–Dornbusch model
, 40

Normal-Wishart quasi-posterior distribution
, 45

Null hypothesis
, 11

Oil shock (1973)
, 54

Ordinary least squares (OLS)
, 136

Pair-wise correlations
, 53

Pair-wise directional connectedness
, 54

Parameter estimates
, 165–168

Phillips curve equations
, 152–153

Policy implication
, 179

Polynomial method
, 119, 121

Polynomial trend (PT)
, 100, 135–137

Posterior estimation
, 165

Power transfer function (PTF)
, 108, 134

Prior distributions
, 161–165

Profit function
, 154–155

QARCH-type conditional heteroskedasticity
, 11

Quadratic Probability Score (QPS), 74–75, 76–77, 91n7

Qualitative (un)importance of non-standard features in DSGE model
, 188–189

Quasi-Bayesian approach
, 52

Quasi-Bayesian local likelihood approach (QBLL approach)
, 39, 42–43

Random Coefficient Autoregressions (RCAs)
, 2

Real exchange rate
, 174–175

Real gross domestic product
, 101

Recursive-design bootstrap procedure
, 13

Reduced-form analysis
, 186–187

Reduced-form covariance matrix
, 42–43

Reduced-form models of comovement
, 170–172

Reduced-form term-premium, 182n10

Regime-switching dynamics
, 68

Regime-switching factor loadings
, 87, 89

Resource constraint
, 159–160

Robustness
, 179–180

Schwarz Information Criterion (SIC)
, 83

Semi-parametric approach
, 38

Short-term debt risk premium shock
, 172

Short-term domestic bonds
, 154

Short-term household interest rate
, 155

Short-term nominal interest rate
, 46

Similarity
, 114–115, 125

Simple correlations
, 125

Small open economies (SOE)
, 148–149, 151

SOE DSGE model
, 188–189

Specification testing
, 2

Spillover effects
, 59

inflation
, 60

interest rate
, 59

unemployment
, 60

Statistical discrepancy
, 3

Structural analysis
, 57–60, 186–187

Structural macroeconomic models
, 2

Structural models
, 142–144

Suite of models (SoM)
, 101, 115, 144–145

SUITEsf approach
, 111, 115, 116–119

Symmetric amplitude, 130n1

Synchronicity
, 114–115

Synchronicity
, 125

Synchronization of cycles with Euro Area
, 125–128

System-wise connectedness
, 56

Taylor rule
, 159

Temporary US monetary policy shocks
, 172

Term premia
, 149, 150, 151, 155–157, 180

Term-structure model estimation, 182n9

Testing parameter constancy in VARs
, 11–13

Time domain
, 107

Time-varying coefficients VAR process
, 14

Time-varying connectedness
, 53–56

Time-varying factor models
, 66

Time-varying parameter model (TVP model)
, 38–39

Trend cycle-seasonal filter (TCS filter)
, 101

Trend-cycle decomposition (TCD)
, 100–101, 109–111

acceleration cycles
, 137

BN filter
, 137–138

CF filter
, 138–140

comparison of different cycle concepts
, 136

details on cycles
, 145–146

frequency domain
, 107–109

Hamilton filter
, 138

HP filter
, 140–142

mathematics of
, 135

methods used for
, 106

polynomial trend
, 135–137

structural models
, 142–144

suite of models
, 144–145

time domain
, 107

wavelets
, 142

UK long-term interest rates historical decompositions
, 187–188

UK Monetary Policy Committee
, 148

Unconditional asymmetry
, 11–12, 34–35

Unconditional Kurtosis
, 12

Unconditional volatility
, 52

Uncovered interest rate parity (UIP)
, 157

Unemployment

rate
, 46, 122–125

spillover effects
, 60

Univariate ARIMA models
, 2

Univariate TCD methods
, 110

Unobserved components (UC)
, 107

Unobserved components model (UCM)
, 101

US Inflation-target Shock
, 173

USA long-term interest rates historical decompositions
, 187–188

Variance decomposition
, 53

Variance–covariance matrix
, 70–72

Vector autoregressions (VARs)
, 2, 39, 149

application to aggregate output measures
, 21–25

coefficients matrix
, 72

covariance matrices of influence functions
, 12–13

interpretation of influence functions
, 11–12

model
, 47

proofs
, 29–32

recursive-design bootstrap procedure
, 13

special case of AR(1)
, 32–35

testing parameter constancy in
, 11

Volatility
, 38, 39

unconditional
, 52

Wavelets (WAVE)
, 101, 142

Weighted likelihood
, 45

Yield curve
, 66, 148, 152, 168