Academic literature on the topic 'Business cycles Australia Econometric models'
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Journal articles on the topic "Business cycles Australia Econometric models"
Basu, Susanto, and Alan M. Taylor. "Business Cycles in International Historical Perspective." Journal of Economic Perspectives 13, no. 2 (May 1, 1999): 45–68. http://dx.doi.org/10.1257/jep.13.2.45.
Full textArtamonov, N. V., D. V. Artamonov, and V. A. Artamonov. "Credit Cycles: Econometric Analysis and Evidence for Russia." MGIMO Review of International Relations, no. 2(35) (April 28, 2014): 113–22. http://dx.doi.org/10.24833/2071-8160-2014-2-35-113-122.
Full textStefan Mehedinteanu, Patrick. "Smart Investments in the field of innovative entrepreneurship in my concept for economic efficiency and energetic efficiency." International Journal of Scientific Research and Management 10, no. 11 (November 4, 2022): 4119–23. http://dx.doi.org/10.18535/ijsrm/v10i11.em01.
Full textYurdakul, Funda, and Arda Doğruöz. "Seçimlerin Ekonomik Etkileri: Türkiye Üzerine Bir Uygulama." International Journal of Social Sciences 5, no. 23 (November 11, 2021): 290–317. http://dx.doi.org/10.52096/usbd.5.23.5.16.
Full textPavanelli, Giovanni. "Is There an Endogenous Tendency towards Equilibrium in Economic Systems? Business Cycles and Crises in the Modern Economic Thought." Bulgarian Journal of International Economics and Politics 1, no. 2 (June 20, 2022): 3–19. http://dx.doi.org/10.37075/bjiep.2021.2.01.
Full textAraújo, Antônio Maria Henri Beyle de, Paulo Roberto Barbosa Lustosa, and Edilson Paulo. "The cyclicality of loan loss provisions under three different accounting models: the United Kingdom, Spain, and Brazil." Revista Contabilidade & Finanças 29, no. 76 (November 6, 2017): 97–113. http://dx.doi.org/10.1590/1808-057x201804490.
Full textQin, Duo, and Christopher L. Gilbert. "THE ERROR TERM IN THE HISTORY OF TIME SERIES ECONOMETRICS." Econometric Theory 17, no. 2 (March 3, 2001): 424–50. http://dx.doi.org/10.1017/s0266466601172063.
Full textБасовская, Елена, Elena Basovskaya, Леонид Басовский, and Leonid Basovskiy. "Prospects for the Development of a Systemic Global Economic Crisis." Scientific Research and Development. Economics 7, no. 1 (March 4, 2019): 4–7. http://dx.doi.org/10.12737/article_5c5983d5290c77.78838679.
Full textMa, Le, Chunlu Liu, and Anthony Mills. "Construction labor productivity convergence: a conditional frontier approach." Engineering, Construction and Architectural Management 23, no. 3 (May 16, 2016): 283–301. http://dx.doi.org/10.1108/ecam-03-2015-0040.
Full textMa, Le, Richard Reed, and Jian Liang. "Separating owner-occupier and investor demands for housing in the Australian states." Journal of Property Investment & Finance 37, no. 2 (March 4, 2019): 215–32. http://dx.doi.org/10.1108/jpif-07-2018-0045.
Full textDissertations / Theses on the topic "Business cycles Australia Econometric models"
Jean-Baptiste, Frédo. "Essays on the econometric evaluation of monetary business cycle models." Strasbourg, 2011. https://publication-theses.unistra.fr/public/theses_doctorat/2011/JEAN-BAPTISTE_Fredo_2011.pdf.
Full textThis thesis focuses on the econometric evaluation of the new-Keynesian model. This model is now a benchmark one for the analysis of monetary policy, both in academic and policy-making institutions. This dissertation fits the new-Keynesian model to U. S. And European data, and the model is evaluated on its ability in matching inflation persistence, in explaining the Great Moderation, i. E. The idea that economic data after 1980 until the Great Recession of 2008 are more stable than before. Finally, the estimated model is used to shed light on whether changes in U. S. And European monetary policy are endogenous or not. Our results are as follows. First, the estimated model matches inflation persistence as soon as the new-Keynesian Phillips curve includes the inflation target of the central bank as a variable that explains inflation. Second, the explanations for the Great Moderation are both an improved monetary policy and smaller variance of shocks that U. S. And European economy have experienced. Third, changes in European monetary policy appear to be endogenous, while changes in U. S. Monetary policy are closely associated with the dates at which Fed Chairmen change
Conradie, Tiaan. "The South African economy and internationally fuelled business cycles: an econometric analysis." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/4354.
Full textYoon, Jai-Hyung. "Four essays on international real business cycle and asset pricing models." Monash University, Dept. of Accounting and Finance, 2002. http://arrow.monash.edu.au/hdl/1959.1/8520.
Full textFeng, Ning. "Essays on business cycles and macroeconomic forecasting." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/279.
Full textNyika, Farai. "An empirical analysis of the Austrian business cycle theory with respect to South Africa." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1020867.
Full textKotze, Kevin Lawrence. "The South African business cycle and the application of dynamic stochastic general equilibrium models." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/96055.
Full textENGLISH ABSTRACT: This dissertation considers the use of Dynamic Stochastic General Equilibrium (DSGE) models for the analysis of South African macroeconomic business cycle phenomena. It includes four separate, but interrelated parts, which follow a logical sequence. The rst part motivates the use of these models before establishing the theoretical foundations for these models. The theoretical foundations are accompanied by detailed derivations that are used to construct a model for a small open economy. The second part considers the properties of South African macroeconomic data that may be used to estimate the parameters in these models. It includes a discussion of the variables that may be included in such a model, as well as various methods that may be used to extract the business cycle. Thereafter, the sample size for the dataset is established, after investigating for possible structural breaks in the rst two moments of the data, using various univariate and multivariate techniques. The nal chapter of this part contains an investigation into the measures of core in ation, whereby a comparison of trimmed means, dynamic factor models and various wavelet decompositions are applied to data for South Africa. The third part considers the application of the dataset that was identi ed in part two, in a DSGE model that incorporates features that are typical of small open economies. It includes a discussion that relates to the role of the exchange rate in these models, which is found to contain key information. In addition, this part also includes a optimal policy investigation, which considers the reaction function of central bank. The nal part of this thesis considers more recent advances that have been applied to DSGE models for the South African economy. It includes an example of a nonlinear model that is estimated with the aid of a particle lter, which is then used for forecasting purposes. The forecasting results of both linear and nonlinear versions of the model are then compared with the results from various Vector Autoregression (VAR) and Bayesian VAR models.
AFRIKAANSE OPSOMMING: Hierdie proefskrif oorweeg die gebruik van Dinamiese Stogastiese Algemene Ewewig (Engels: Dynamic Stochastic General Equilibrium (DSGE)) modelle vir die analise van besigheidsiklus gebeure in die Suid Afrikaanse makroekonomie. Dit bestaan uit vier aparte dog onderling verwante dele wat in « logiese ontwikkeling vorm. Die eerste deel motiveer die gebruik van dié modelle en daarna word die teoretiese onderbou van die modelle daargestel. Die teoretiese onderbou word aangevul met gedetaileerde stappe van die a eiding van die verhoudings wat gebruik word om « model vir « klein oop ekonomie saam te stel. Die tweede deel oorweeg die eienskappe van Suid Afrikaanse makroekonomiese data wat relevant is vir « ekonometriese model in hierdie konteks. Dit sluit « bespreking in van die veranderlikes wat vir so « model gebruik kan word, asook « bespreking van die verskeie metodes wat gebruik kan word om die besigheidsiklus uit die data te identi seer. Die steekproefgrootte van die data word dan vasgestel, ná die moontlikheid van strukturele onderbrekings van tendens in die eerste en tweede momente van die data ondersoek is met behulp van verskeie enkel en meervoudige-veranderlike tegnieke. Die laaste hoofstuk van dié deel is « studie van verskeie maatstawwe van kern in asie (core in ation), waar « vergelyking getref word tussen die resultate van die volgende metodes toegepas op Suid Afrikaanse data: afgesnede gemiddeldes (trimmed means), dinamiese faktor modelle en verskeie golfvormige onderverdelings (wavelet decompositions). Die derde deel gebruik die datastel, wat in deel twee ontwikkel is, in die passing van « DSGE model wat die tipiese eienskappe van « klein oop ekonomie inkorporeer. Dit sluit « bespreking in van die rol van die wisselkoers in hierdie tipe modelle, en daar word empiries bevind dat die wisselkoers belangrike inligting bevat. Hierdie deel sluit ook « ondersoek in van optimale beleid in terme van die reaksie funksie van die sentrale bank. Die laaste deel van die proefskrif bestudeer die resultate van onlangse ontwikkellinge in DSGE modelle wat toegepas word op die Suid Afrikaanse ekonomie. Dit sluit « voorbeeld van « nie-liniêre model wat met behulp van « partikel lter (particle lter) geskat word en gebruik word vir vooruitskattings. Die vooruitskattings uit beide die liniêre en nie-liniêre modelle word dan vergelyk met dié verkry uit verskeie Vektor
Emiris, Marina. "Essays on macroeconomics and finance." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210764.
Full textCimadomo, Jacopo. "Essays on systematic and unsystematic monetary and fiscal policies." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210474.
Full textconsequence, the stance that policymakers should adopt over the business cycle, remain
controversial issues in the economic literature.
In the light of the dramatic experience of the early 1930s’ Great Depression, Keynes (1936)
argued that the market mechanism could not be relied upon to spontaneously recover from
a slump, and advocated counter-cyclical public spending and monetary policy to stimulate
demand. Albeit the Keynesian doctrine had largely influenced policymaking during
the two decades following World War II, it began to be seriously challenged in several
directions since the start of the 1970s. The introduction of rational expectations within
macroeconomic models implied that aggregate demand management could not stabilize
the economy’s responses to shocks (see in particular Sargent and Wallace (1975)). According
to this view, in fact, rational agents foresee the effects of the implemented policies, and
wage and price expectations are revised upwards accordingly. Therefore, real wages and
money balances remain constant and so does output. Within such a conceptual framework,
only unexpected policy interventions would have some short-run effects upon the economy.
The "real business cycle (RBC) theory", pioneered by Kydland and Prescott (1982), offered
an alternative explanation on the nature of fluctuations in economic activity, viewed
as reflecting the efficient responses of optimizing agents to exogenous sources of fluctuations, outside the direct control of policymakers. The normative implication was that
there should be no role for economic policy activism: fiscal and monetary policy should be
acyclical. The latest generation of New Keynesian dynamic stochastic general equilibrium
(DSGE) models builds on rigorous foundations in intertemporal optimizing behavior by
consumers and firms inherited from the RBC literature, but incorporates some frictions
in the adjustment of nominal and real quantities in response to macroeconomic shocks
(see Woodford (2003)). In such a framework, not only policy "surprises" may have an
impact on the economic activity, but also the way policymakers "systematically" respond
to exogenous sources of fluctuation plays a fundamental role in affecting the economic
activity, thereby rekindling interest in the use of counter-cyclical stabilization policies to
fine tune the business cycle.
Yet, despite impressive advances in the economic theory and econometric techniques, there are no definitive answers on the systematic stance policymakers should follow, and on the
effects of macroeconomic policies upon the economy. Against this background, the present thesis attempts to inspect the interrelations between macroeconomic policies and the economic activity from novel angles. Three contributions
are proposed.
In the first Chapter, I show that relying on the information actually available to policymakers when budgetary decisions are taken is of fundamental importance for the assessment of the cyclical stance of governments. In the second, I explore whether the effectiveness of fiscal shocks in spurring the economic activity has declined since the beginning of the 1970s. In the third, the impact of systematic monetary policies over U.S. industrial sectors is investigated. In the existing literature, empirical assessments of the historical stance of policymakers over the economic cycle have been mainly drawn from the estimation of "reduced-form" policy reaction functions (see in particular Taylor (1993) and Galì and Perotti (2003)). Such rules typically relate a policy instrument (a reference short-term interest rate or an indicator of discretionary fiscal policy) to a set of explanatory variables (notably inflation, the output gap and the debt-GDP ratio, as long as fiscal policy is concerned). Although these policy rules can be seen as simple approximations of what derived from an explicit optimization problem solved by social planners (see Kollmann (2007)), they received considerable attention since they proved to track the behavior of central banks and fiscal
policymakers relatively well. Typically, revised data, i.e. observations available to the
econometrician when the study is carried out, are used in the estimation of such policy
reaction functions. However, data available in "real-time" to policymakers may end up
to be remarkably different from what it is observed ex-post. Orphanides (2001), in an
innovative and thought-provoking paper on the U.S. monetary policy, challenged the way
policy evaluation was conducted that far by showing that unrealistic assumptions about
the timeliness of data availability may yield misleading descriptions of historical policy.
In the spirit of Orphanides (2001), in the first Chapter of this thesis I reconsider how
the intentional cyclical stance of fiscal authorities should be assessed. Importantly, in
the framework of fiscal policy rules, not only variables such as potential output and the
output gap are subject to measurement errors, but also the main discretionary "operating
instrument" in the hands of governments: the structural budget balance, i.e. the headline
government balance net of the effects due to automatic stabilizers. In fact, the actual
realization of planned fiscal measures may depend on several factors (such as the growth
rate of GDP, the implementation lags that often follow the adoption of many policy
measures, and others more) outside the direct and full control of fiscal authorities. Hence,
there might be sizeable differences between discretionary fiscal measures as planned in the
past and what it is observed ex-post. To be noted, this does not apply to monetary policy
since central bankers can control their operating interest rates with great accuracy.
When the historical behavior of fiscal authorities is analyzed from a real-time perspective, it emerges that the intentional stance has been counter-cyclical, especially during expansions, in the main OECD countries throughout the last thirteen years. This is at
odds with findings based on revised data, generally pointing to pro-cyclicality (see for example Gavin and Perotti (1997)). It is shown that empirical correlations among revision
errors and other second-order moments allow to predict the size and the sign of the bias
incurred in estimating the intentional stance of the policy when revised data are (mistakenly)
used. It addition, formal tests, based on a refinement of Hansen (1999), do not reject
the hypothesis that the intentional reaction of fiscal policy to the cycle is characterized by
two regimes: one counter-cyclical, when output is above its potential level, and the other
acyclical, in the opposite case. On the contrary, the use of revised data does not allow to identify any threshold effect.
The second and third Chapters of this thesis are devoted to the exploration of the impact
of fiscal and monetary policies upon the economy.
Over the last years, two approaches have been mainly followed by practitioners for the
estimation of the effects of macroeconomic policies on the real activity. On the one hand,
calibrated and estimated DSGE models allow to trace out the economy’s responses to
policy disturbances within an analytical framework derived from solid microeconomic
foundations. On the other, vector autoregressive (VAR) models continue to be largely
used since they have proved to fit macro data particularly well, albeit they cannot fully
serve to inspect structural interrelations among economic variables.
Yet, the typical DSGE and VAR models are designed to handle a limited number of variables
and are not suitable to address economic questions potentially involving a large
amount of information. In a DSGE framework, in fact, identifying aggregate shocks and
their propagation mechanism under a plausible set of theoretical restrictions becomes a
thorny issue when many variables are considered. As for VARs, estimation problems may
arise when models are specified in a large number of indicators (although latest contributions suggest that large-scale Bayesian VARs perform surprisingly well in forecasting.
See in particular Banbura, Giannone and Reichlin (2007)). As a consequence, the growing
popularity of factor models as effective econometric tools allowing to summarize in
a parsimonious and flexible manner large amounts of information may be explained not
only by their usefulness in deriving business cycle indicators and forecasting (see for example
Reichlin (2002) and D’Agostino and Giannone (2006)), but also, due to recent
developments, by their ability in evaluating the response of economic systems to identified
structural shocks (see Giannone, Reichlin and Sala (2002) and Forni, Giannone, Lippi
and Reichlin (2007)). Parallelly, some attempts have been made to combine the rigor of
DSGE models and the tractability of VAR ones, with the advantages of factor analysis
(see Boivin and Giannoni (2006) and Bernanke, Boivin and Eliasz (2005)).
The second Chapter of this thesis, based on a joint work with Agnès Bénassy-Quéré, presents an original study combining factor and VAR analysis in an encompassing framework,
to investigate how "unexpected" and "unsystematic" variations in taxes and government
spending feed through the economy in the home country and abroad. The domestic
impact of fiscal shocks in Germany, the U.K. and the U.S. and cross-border fiscal spillovers
from Germany to seven European economies is analyzed. In addition, the time evolution of domestic and cross-border tax and spending multipliers is explored. In fact, the way fiscal policy impacts on domestic and foreign economies
depends on several factors, possibly changing over time. In particular, the presence of excess
capacity, accommodating monetary policy, distortionary taxation and liquidity constrained
consumers, plays a prominent role in affecting how fiscal policies stimulate the
economic activity in the home country. The impact on foreign output crucially depends
on the importance of trade links, on real exchange rates and, in a monetary union, on
the sensitiveness of foreign economies to the common interest rate. It is well documented
that the last thirty years have witnessed frequent changes in the economic environment.
For instance, in most OECD countries, the monetary policy stance became less accommodating
in the 1980s compared to the 1970s, and more accommodating again in the
late 1990s and early 2000s. Moreover, financial markets have been heavily deregulated.
Hence, fiscal policy might have lost (or gained) power as a stimulating tool in the hands
of policymakers. Importantly, the issue of cross-border transmission of fiscal policy decisions is of the utmost relevance in the framework of the European Monetary Union and this explains why the debate on fiscal policy coordination has received so much attention since the adoption
of the single currency (see Ahearne, Sapir and Véron (2006) and European Commission
(2006)). It is found that over the period 1971 to 2004 tax shocks have generally been more effective in spurring domestic output than government spending shocks. Interestingly, the inclusion of common factors representing global economic phenomena yields to smaller multipliers
reconciling, at least for the U.K. the evidence from large-scale macroeconomic models,
generally finding feeble multipliers (see e.g. European Commission’s QUEST model), with
the one from a prototypical structural VAR pointing to stronger effects of fiscal policy.
When the estimation is performed recursively over samples of seventeen years of data, it
emerges that GDP multipliers have dropped drastically from early 1990s on, especially
in Germany (tax shocks) and in the U.S. (both tax and government spending shocks).
Moreover, the conduct of fiscal policy seems to have become less erratic, as documented
by a lower variance of fiscal shocks over time, and this might contribute to explain why
business cycles have shown less volatility in the countries under examination.
Expansionary fiscal policies in Germany do not generally have beggar-thy-neighbor effects
on other European countries. In particular, our results suggest that tax multipliers have
been positive but vanishing for neighboring countries (France, Italy, the Netherlands, Belgium and Austria), weak and mostly not significant for more remote ones (the U.K.
and Spain). Cross-border government spending multipliers are found to be monotonically
weak for all the subsamples considered.
Overall these findings suggest that fiscal "surprises", in the form of unexpected reductions in taxation and expansions in government consumption and investment, have become progressively less successful in stimulating the economic activity at the domestic level, indicating that, in the framework of the European Monetary Union, policymakers can only marginally rely on this discretionary instrument as a substitute for national monetary policies.
The objective of the third chapter is to inspect the role of monetary policy in the U.S. business cycle. In particular, the effects of "systematic" monetary policies upon several industrial sectors is investigated. The focus is on the systematic, or endogenous, component of monetary policy (i.e. the one which is related to the economic activity in a stable and predictable way), for three main reasons. First, endogenous monetary policies are likely to have sizeable real effects, if agents’ expectations are not perfectly rational and if there are some nominal and real frictions in a market. Second, as widely documented, the variability of the monetary instrument and of the main macro variables is only marginally explained by monetary "shocks", defined as unexpected and exogenous variations in monetary conditions. Third, monetary shocks can be simply interpreted as measurement errors (see Christiano, Eichenbaum
and Evans (1998)). Hence, the systematic component of monetary policy is likely to have played a fundamental role in affecting business cycle fluctuations. The strategy to isolate the impact of systematic policies relies on a counterfactual experiment, within a (calibrated or estimated) macroeconomic model. As a first step, a macroeconomic shock to which monetary policy is likely to respond should be selected,
and its effects upon the economy simulated. Then, the impact of such shock should be
evaluated under a “policy-inactive” scenario, assuming that the central bank does not respond
to it. Finally, by comparing the responses of the variables of interest under these
two scenarios, some evidence on the sensitivity of the economic system to the endogenous
component of the policy can be drawn (see Bernanke, Gertler and Watson (1997)).
Such kind of exercise is first proposed within a stylized DSGE model, where the analytical
solution of the model can be derived. However, as argued, large-scale multi-sector DSGE
models can be solved only numerically, thus implying that the proposed experiment cannot
be carried out. Moreover, the estimation of DSGE models becomes a thorny issue when many variables are incorporated (see Canova and Sala (2007)). For these arguments, a less “structural”, but more tractable, approach is followed, where a minimal amount of
identifying restrictions is imposed. In particular, a factor model econometric approach
is adopted (see in particular Giannone, Reichlin and Sala (2002) and Forni, Giannone,
Lippi and Reichlin (2007)). In this framework, I develop a technique to perform the counterfactual experiment needed to assess the impact of systematic monetary policies.
It is found that 2 and 3-digit SIC U.S. industries are characterized by very heterogeneous degrees of sensitivity to the endogenous component of the policy. Notably, the industries showing the strongest sensitivities are the ones producing durable goods and metallic
materials. Non-durable good producers, food, textile and lumber producing industries are
the least affected. In addition, it is highlighted that industrial sectors adjusting prices relatively infrequently are the most "vulnerable" ones. In fact, firms in this group are likely to increase quantities, rather than prices, following a shock positively hitting the economy. Finally, it emerges that sectors characterized by a higher recourse to external sources to finance investments, and sectors investing relatively more in new plants and machineries, are the most affected by endogenous monetary actions.
Doctorat en sciences économiques, Orientation économie
info:eu-repo/semantics/nonPublished
Malek, Mansour Jeoffrey H. G. "Three essays in international economics." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210878.
Full textRegarding the approach pursued to tackle these problems, we have chosen to strictly remain within the boundaries of empirical (macro)economics - that is, applied econometrics. Though we systematically provide theoretical models to back up our empirical approach, our only real concern is to look at the stories the data can (or cannot) tell us. As to the econometric methodology, we will restrict ourselves to the use of panel data analysis. The large spectrum of techniques available within the panel framework allows us to utilize, for each of the problems at hand, the most suitable approach (or what we think it is).
Doctorat en sciences économiques, Orientation économie
info:eu-repo/semantics/nonPublished
Taşcı, Murat. "Business cycles and labor market reallocation." Thesis, 2006. http://hdl.handle.net/2152/2612.
Full textBooks on the topic "Business cycles Australia Econometric models"
Jacobs, Jan. Econometric business cycle research. Boston: Kluwer Academic, 1998.
Find full textSantos, André. Are Mexican business cycles asymmetrical? [Washington, D.C.]: International Monetary Fund, IMF Institute, 2002.
Find full textAngeletos, Marios. Noisy business cycles. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2009.
Find full textEconometric business cycle research. Boston: Kluwer Academic, 1998.
Find full textGarcia-Cicco, Javier. Real business cycles in emerging countries? Cambridge, Mass: National Bureau of Economic Research, 2006.
Find full textDiebold, Francis X. Measuring business cycles: A modern perspective. Cambridge, MA: National Bureau of Economic Research, 1994.
Find full textBeaudry, Paul. Gold rush fever in business cycles. Cambridge, Mass: National Bureau of Economic Research, 2006.
Find full textW, Cooper Russell. Business cycles: Theory, evidence and implications. Cambridge, MA: National Bureau of Economic Research, 1997.
Find full textJaimovich, Nir. News and business cycles in open economies. Cambridge, MA: National Bureau of Economic Research, 2007.
Find full textJaimovich, Nir. News and business cycles in open economies. Cambridge, Mass: National Bureau of Economic Research, 2007.
Find full textBook chapters on the topic "Business cycles Australia Econometric models"
"The Trouble with Econometric Models." In Business Cycles and Equilibrium, 135–52. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119203070.ch12.
Full textKlein, Lawrence R. "Cyclical Indicators in Econometric Models." In Analyzing Modern Business Cycles, 97–106. Routledge, 2019. http://dx.doi.org/10.4324/9781315492292-7.
Full textTsoukis, Christopher. "Business Cycles and Stabilization Policy." In Theory of Macroeconomic Policy, 275–346. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198825371.003.0006.
Full text